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Open Access Research article

Transcription profiling reveals stage- and function-dependent expression patterns in the filarial nematode Brugia malayi

Ben-Wen Li14*, Zhengyuan Wang2, Amy C Rush1, Makedonka Mitreva23 and Gary J Weil1

Author affiliations

1 Infectious Diseases Division, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, 63110, USA

2 The Genome Institute, Washington University School of Medicine, St. Louis, MO, 63110, USA

3 Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA

4 Washington University School of Medicine, Campus Box 8051, 660 S. Euclid, St. Louis, MO, 63110, USA

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Citation and License

BMC Genomics 2012, 13:184  doi:10.1186/1471-2164-13-184


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2164/13/184


Received:5 October 2011
Accepted:14 May 2012
Published:14 May 2012

© 2012 Li et al.; licensee BioMed Central Ltd

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Brugia malayi is a nematode parasite that causes lymphatic filariasis, a disfiguring and disabiling tropical disease. Although a first draft genome sequence was released in 2007, very little is understood about transcription programs that govern developmental changes required for the parasite’s development and survival in its mammalian and insect hosts.

Results

We used a microarray with probes that represent some 85% of predicted genes to generate gene expression profiles for seven parasite life cycle stages/sexes. Approximately 41% of transcripts with detectable expression signals were differentially expressed across lifecycle stages. Twenty-six percent of transcripts were exclusively expressed in a single parasite stage, and 27% were expressed in all stages studied. K-means clustering of differentially expressed transcripts revealed five major transcription patterns that were associated with parasite lifecycle stages or gender. Examination of known stage-associated transcripts validated these data sets and suggested that newly identified stage or gender-associated transcripts may exercise biological functions in development and reproduction. The results also indicate that genes with similar transcription patterns were often involved in similar functions or cellular processes. For example, nuclear receptor family gene transcripts were upregulated in gene expression pattern four (female-enriched) while protein kinase gene family transcripts were upregulated in expression pattern five (male-enriched). We also used pair-wise comparisons to identify transcriptional changes between life cycle stages and sexes.

Conclusions

Analysis of gene expression patterns of lifecycle in B. malayi has provided novel insights into the biology of filarial parasites. Proteins encoded by stage-associated and/or stage-specific transcripts are likely to be critically important for key parasite functions such as establishment and maintenance of infection, development, reproduction, and survival in the host. Some of these may be useful targets for vaccines or new drug treatments for filariasis.

Keywords:
Nematode; Transcription; Lifecycle; Filariasis; Parasite; Brugia malayi

Background

The thread-like parasitic nematodes Wuchereria bancrafti and Brugia malayi cause lymphatic filariasis (LF) in humans. LF is a deforming and disabling neglected tropical disease. An estimated 120 million people in 81 countries are infected currently, and 1.34 billion are at risk of acquiring the infection [1]. Current treatments rely on a limited number of drugs, namely diethycarbamazine, albendazole and ivermectin. Although these treatments are partially effective, the molecular effects of these drugs on filarial nematodes are not completely understood [2]. In addition, these drugs are not effective against all parasite stages. Thus, treatments often must be provided annually for the full lifespan of adult parasites, which is estimated to be 7 to 10 years. In addition, recent reports suggest that the parasites may be developing resistance to albendazole and ivermectin treatment [3]. Therefore, the search for new drug targets and effective vaccine candidates is an important priority. Improved understanding of the molecular processes responsible for parasite development and survival could help to identify new drug targets for treatment of filarial infections.

Filarial parasites have complex life cycles with five stages and 4 cuticular molts ( Additional file 1: Figure S1) [4]. Early larval development takes place in arthropod hosts, and further development and sexual reproduction takes place in vertebrate hosts. In the case of parasites that cause LF, infective larvae (L3) are transmitted to humans by mosquitoes. While L3 are developmentally arrested in mosquitoes, they resume development after entering a suitable vertebrate host, and this leads to a molt to the fourth larval larval stage (L4) after approximately 10 days. L4 undergo dramatic growth over a period of several weeks and then molt to become dioecious L5 parasites. These immature adult worms develop further over a period of approximately 6 weeks and become sexually mature adult worms. After mating, adult female worms produce thousands of motile microfilariae (Mf) that circulate in the bloodstream of infected hosts. When Mf are ingested by a susceptible mosquito species, they migrate to the thorax and develop through two molts over approximately 14 days to become L3, completing the life cycle. While changes in morphology across the life cycle of filarial worms are well documented [4], relatively little is known about the biochemical pathways and molecular processes that accompany these developmental changes. Since many of these pathways and processes must be essential for the survival of these parasites, further research in this area may lead to identification of new targets for rational design of vaccines and drugs.

Additional file 1. The schema of B. malayi lifecycle and stages studied in current study. Figure S1. This figure shows the life cycle stages of Brugia malayi and lifecycle stages included in current study. The life cycle of the filarial parasite is digenetic with a mammalian host (light green) and a mosquito intermediate host (green). Infections are initiated after a mosquito blood meal when the infective L3 stage enter the mammalian host. L3 larvae migrate to lymphatic vessels, develop, and molt twice to transform into adult parasites. The adult parasites mate, produce microfilariae (Mf) that are released into the circulation and ingested by mosquitoes during a blood meal. The ingested microfilariae molt twice and develop into the infective L3 stage in mosquito vector. Note: Stages analyzed in this study are marked in black circles.

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Recent advances in technology have provided exciting new opportunities for research on parasites. In the case of filariasis, assembly and annotation of the genome of B. malayi[5], studies of differential gene expression in different parasite types (e.g., male vs. female, or after exposure to stresses such as in vitro culture, irradiation, or drugs) [6-9] and recent proteomics studies [10-13] have all contributed to a much deeper understanding of filarial biology. While generally informative, many of these studies were limited by insufficient surveying of different life cycle stages. The combined use of genomics, bioinformatics, and proteomics across the life cycle of B. malayi should improve our understanding of the molecular biology of molting, invasion and survival in the mammalian host, sexual differentiation, reproduction, and behavior [14,15].

In the current study, we have provided detailed information on global transcriptional profiles for seven B. malayi lifecycle stages: infective L3 directly from vector mosquitoes, and several stages collected from a mammalian host (Mf, L4, immature male and female worms (6 week post infection female (6WF) and male (6WM) and mature male (AM) and female worms (AF). We described transcriptional profiles associated with the dioecious and digenetic stages, and identified various sets of stage and gender-specific transcripts and transcripts that are fairly constantly expressed in all stages tested. In addition, we have related these results to recently reported data on B. malayi proteomes and to available expression data for Caenorhabditis elegans.

While our study was under review, Choi et al. [16] reported transcriptomic expression changes across the B. malayi lifecycle using deep sequencing. The transcriptional profiles and expression dynamics revealed by these two different approaches are similar in many ways (e.g., gender-associated expression and stage-specific expression). While detailed comparisons of results from the two studies are beyond the scope of this paper, a preliminary comparison shows that both technologies were useful for characterizing transcriptomes associated with development of B. malayi. One unique aspect of our study, however, was the inclusion of sexually immature adult worms (6 week post infection females and males) which allowed us to investigate molecules essential for sexual development. A comprehensive comparative bioinformatics analysis allowed us to identify many B. malayi homologues of C. elegans genes essential for reproduction or developmental arrest. This information will enhance the functional annotation of filarial genomes, and it could lead to the development of novel ways of treating or controlling filariasis based on blocking biological processes that are essential for parasite development and/or survival.

Results and discussion

Overview of transcription profiles across the B. malayi lifecycle stages

Genes with hybridization signals ≥ 2 times the mean intensity of the negative control elements in at least 3 of the 4 hybridizations were considered to be expressed. By this criterion, 11,032 transcripts were expressed in at least one stage/gender ( Additional file 2), and this corresponds to ~ 60% of the probes represented on the microarray. Because the array includes probes from other related filarial species (W. bancrofti, 872 probes, O. volvulus 1,016 and Wolbachia 804), we compared hybridization results for different probe sets. As expected, the percentage of expressed transcripts was higher for B. malayi transcripts (~64%) than for W. bancrofti (~61%), O. volvulus (~56%) or Wolbachia (~9%) transcripts. We did not look at the stage-specific expression of Wolbachia genes, because poly-A labeled probes do not efficiently hybridize Wolbachia RNA which does not contain poly-A. We next compared results obtained with cDNA prepared from different parasite stages or sexes with those obtained with a reference cDNA sample made from pooled mRNA representing all of the life cycle stages studied to measure the relative abundance of transcripts in each parasite stage [17]. The relative abundance of transcripts over time was used to assess transcriptional profiles for each gene.

Additional file 2. Transcripts expressed in any stage and gender.

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Regulation of expressed transcripts was highly dynamic across the life cycle. Among the expressed transcripts, 41% (4,484/11,032) of the expressed transcripts were differentially expressed (DE) across the lifecycle stages. Detailed transcriptional profiles by stage are presented in Figure 1.

thumbnailFigure 1. A: This figure shows the number of the transcripts differentially (DE-shown in red) or not differentially (not DE, shown in blue) expressed in the major life cycle stages studied. The numbers in parentheses represent the numbers of the transcripts expressed in different parasite stages. Any stage-transcripts were expressed in at least one stage. All stage- transcripts were expressed in all stages; Mf, microfilariae; AF, adult females; AM, adult males; 6WF, 6 week females; 6WM, 6 week males; L4, L4 stage, 2 weeks post infection; L3, infective third stage larvae. B: This figure shows the number the transcripts that were specific for each parasite stage. The numbers in the parentheses represent transcripts specific to that stage. The total indicates the sum of all stage-specific transcripts; Other abbreviations are the same as in panel A.

Of 11,032 expressed transcripts, only (27%) 3,013 were present in all life cycle stages; these transcripts were considered to be a core set of transcripts required for all stages of the parasites. Of 3,013 core transcripts, 1,582 were differentially expressed (adj P < 0.05), and 1,431 were constantly expressed in all of the lifecycle stages tested (Figure 1A). The constantly expressed transcripts include those previously validated and used as endogenous controls for qRT-PCR assays such as gene BMC11678 (Bm1_09760, which encodes U2 auxiliary factor 65 kDa subunit) and gene BMC02280 (which encodes NADH dehydrogenase subunit 1) [8]. Thus, despite major morphological differences between developmental stages, different life stages share many molecular commonalities. Recent proteomics studies have shown the percentage of proteins in core proteomes varies among organisms; 15% in B. malayi [13], 20.7% in yeast and 7.6% in humans, respectively [18].

To our surprise, only 26% (2,870/11,032) of transcripts (including some that did (724) and others that did not meet statistical criteria for DE (2146) were expressed exclusively in one of the seven lifecycle stages studied (Figure 1B and Additional file 2). The apparent stage-specific expression of genes is not absolute, because we cannot rule out low-level expression below the sensitivity threshold of the methods we employed.

Adult females (AF) which contain eggs and developing embryos expressed more specific transcripts than other stages (1,994/9,863, Figure 1B). Our data sets for stage-specific transcripts corroborate numerous reports of stage-specific expression of individual genes in B. malayi including serpin in Mf (Bm1_28525) [19] and chromadorea ALT protein (Bm1_14360) in L3 [20]. The current study also identified previously unrecognized stage-specific genes that may be crucial for parasite development. For example, two female-specific transcripts encode 3′ to 5′ exonucleases (Bm1_09560 and Bm1_56820) that function as ‘proofreaders’ to edit mismatched nucleotides at the primer terminus. The transcript for mitosis-specific chromosome segregation protein (Bm1_12960) (which is essential for cell division) was also female-specific. As these genes are crucial for protein synthesis and mitosis, they are likely to be essential for female reproduction. Although the expected functions of the known genes with stage specific expression identified in this study often have clear links to development, many of the stage-specific transcripts identified encode unknown or hypothetic proteins (46.3%).

The general transcriptional profile of B. malayi confirms the previous hypothesis that genes which control continuous ‘house-keeping’ processes and maintain survival are constitutively expressed, while genes that have specific functions in one or more stages of development have developmentally regulated expression [21]. Based on these results, it is clear that B. malayi parasite development requires complex controls for gene expression.

Development- and function-dependent transcription patterns in B. malayi

In order to identify B. malayi genes that are developmentally regulated and to document their expression profiles, a statistical analysis was applied as described in Materials and Methods. We identified 4,484 probe sets ( Additional file 3) that were differentially expressed with a false discovery rate (FDR) of 5% (adj P <0.05) when considered across the entire life cycle of B. malayi. This group of probe sets comprises 41% of all expressed probe sets on the microarray and represents genes that had significantly altered gene expression across the lifecycle (Figure 2). We then grouped these transcripts into five major clusters based on their temporal expression patterns using K-means clustering (Figure 3 A-E, Additional file 4). Brief descriptions of these clusters are provided in following sections.

Additional file 3. Differentially expressed transcripts (DE) identified across the stages studied (adj P  < 0.05).

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Additional file 4. Five transcriptional patterns identified by K-means clustering.

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thumbnailFigure 2. This figure shows a heat map of 4,484 differentially expressed genes across the Brugia malayi life cycle stages (adjP< 0.05). Mf, microfilariae; AF, adult females; AM, adult males; 6WF, 6 week females; 6WM, 6 week males; L4, L4 stage, 2 weeks post infection; L3, infective third stage larvae.

thumbnailFigure 3. Temporal expression patterns of 4,484 Brugia transcripts that are differentially expressed (FDR 5%) observed over the entire life cycle. Five clusters were identified by K-means clustering based on their temporal expression patterns. The average expression pattern of the transcripts in each cluster is indicated by a dark blue line. For visualization purposes, each transcript estimated mean log-scale expression profile was standardized to have a mean of 0 and a variance of 2 prior to plotting. A, Cluster one; B, Cluster two; C, Cluster three; D, Cluster four; E, Cluster five. Mf, microfilariae; AF, adult females; AM, adult males; 6WF, 6 week females; 6WM, 6 week males; L4, L4 stage, 2 week post infection; L3, infective third stage larvae.

Cluster 1 includes 1,038 transcripts with high expression in Mf. 41% of these transcripts encode hypothetical or novel proteins (Figure 3A and Additional file 4). The cluster includes many known Mf specific or enriched-genes such as serpin [19] and endochitinase [22]. One striking finding was that transcripts encoding proteins required for protein synthesis (e.g., various ribosomal protein subunits with 122 probes in the microarray, eukaryotic translation initiation factor 4E type 3 with 5 probes, and putative C2H2 domain-containing zinc finger proteins with 69 probes) were enriched in this Cluster. The C2H2 domain-containing zinc finger proteins have also been reported to be enriched in the Mf proteome [13]. These proteins may function as transcription factors. Eukaryotic translation initiation factor 4E type 3 also binds the 7-methylguanosine-containing mRNA cap during an early step in the initiation of protein synthesis and facilitates ribosome binding by inducing the unwinding of mRNA secondary structures [23]. Enrichment of transcripts for protein synthesis in Mf is consistent with the recent report of high numbers of total proteins and secretory/excretory proteins (ES) identified in Mf compared to other stages [13]. Some of these proteins may be needed for Mf survival in mammalian host and/or for infection of mosquitoes.

Cluster 2 contains 882 transcripts, 46% of which encode hypothetical or novel proteins (Figure 3B and Additional file 4). These transcripts had peak expression in the L3 stage and lower expression in other stages. Cluster 2 transcripts include most known L3-specific and/or enriched transcripts such as transcripts encoding abundant larval protein family members (BMC12455, Bm1_26880 and Bm1_14360) and transcripts encoding members of cathepsin L-like cysteine proteinase family group Ia (Bm1_00065, Bm1_00095, Bm1_00870, Bm1_13265, Bm1_20385, Bm1_53625). These well known L3 enriched proteins have been postulated to play crucial roles for establishment of infection and survival in mammalian hosts [24-27]. In addition, 54 of the 100 most highly upregulated transcripts in this cluster were exclusively expressed in L3; 14 of these encode for cathepsin L-like cysteine proteinases and cystatin ( Additional file 4).

Cluster 3 contains 786 transcripts with L4-upregulated expression (Figure 3C and Additional file 4). These transcripts exhibited peak expression in L4 with gradually reduced expression in later stages. Approximately 41% of the Cluster 3 transcripts encode hypothetical or novel proteins. Transcripts that encode proteins likely to be essential for parasite development and adaptation to stress in the mammalian host are abundant in the cluster. For example, transcripts encoding heat shock proteins (HSP) including small heat shock proteins (sHSP) BmHSP12.6 (AA389879), BmHSP70 (Bm1_43675) and BmHSP 90 (Bm1_51495) were highly upregulated in cluster 3. Previous studies have shown that sHSP are expressed in a developmentally regulated fashion [28,29]and are essential for intracellular protein folding to mediate protective functions under stress conditions [30]. Recently, BmHSP12.6 has been reported to function as a human IL-10 receptor binding protein in vitro[31]. In addition, transcripts encoding other stress-inducible and anti-oxidant proteins were abundant in this cluster such as the stress-inducible thioredoxin peroxidases (BmTRX, BMC12241 and AI723683), glutathione peroxidases (BmGPX, AI083432 and AA570858), and anti-oxidant products superoxide dismutase (BmSOD, BMC00677 and TC8075). These proteins have also been reported to be enriched in the secretory proteome of B. malayi L4 [12]. Another group of genes enriched in Cluster 3 are transcripts for cytoskeletal filaments including microfilaments (actin filaments) and intermediate filaments. This is consistent with the recent report that intermediate filament protein was abundant in ES products released during the L3/L4 transition [13]. Enrichment of transcripts for stress-inducible, anti-oxidant, and cytoskeletal proteins in this cluster suggests that L4 parasites (2 wk post infection) modulate their transcriptional program for survival and growth in the mammalian host.

Clustering analysis also revealed large groups of coordinately expressed genes with peak expression in AF (Cluster 4 with 792 transcripts, Figure 3D and Additional file 4) or in AM (Cluster 5 with 985 transcripts, Figure 3E and Additional file 4). These transcripts have high expression in 6WF or 6WM, and even higher expression in AF and AM, respectively. The percentages of the transcripts encoding hypothetical proteins or unknown proteins were higher in these clusters than that in other clusters (53% in Cluster four and 60% in Cluster five). This suggests that many transcripts associated with filarial reproduction encode novel proteins without homologues in public databases. Those proteins without close orthologs in humans may be potential targets for drugs that could block parasite reproduction. As expected, these two gender-associated clusters contained transcripts that encode known proteins involved in basic reproductive processes. For example, Cluster four (female-enriched) contains female-associated genes such as caveolin (Bm1_36280), microfilarial sheath protein BmSHP1 (Bm1_05185), and embryonic fatty acid-binding protein BmFABP (BMC00903). In contrast, Cluster five contains prominent male-associated genes such as those that that encode major sperm protein (Bm1_55755) and PDZ domain containing protein (Bm1_14680) [6,8].

We previously reported that gender-associated transcripts are more likely than other transcripts to have potential C. elegans homologues that are annotated as “oogenesis- or spermatogenesis-enriched” in global expression profiles [8]. This is also true for genes in Cluster 4 and 5. Cluster 4 and 5 contain many more potential homologues of C. elegans genes that were linked to either oogenesis or spermetogenesis, respectively, as defined by Reinke et al. [32] than other clusters ( Additional file 5). This finding supports prior work that that biological functions of genes involved in core reproductive processes are highly conserved among the nematodes [33].

Additional file 5. Potential filarial homologues of C. elegans genes annotated as “spermatogenesis- and oogenesis-enriched” identified in the clusters.

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To demonstrate that genes with similar functions have similar expression patterns, we have investigated expression patterns of gene families identified in the B. malayi genome such as genes encoding kinase, nuclear receptors and genes involved in immune modulation [5]. This analysis showed that the transcriptional patterns of gene families are stage-associated and that genes with similar functions were co-expressed within clusters. For example, genes that encode proteins involved in immune modulation that may protect from host attack had Cluster 2 expression patterns with peak expression in L3 parasites; genes in the nuclear receptor family were abundant in female-associated Cluster four; genes in kinase gene family were overrepresented in the male-associated Cluster five ( Additional file 6).

Additional file 6. Transcriptional profiles of gene family identified in global transcription data.

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The expression patterns of gene families identified in this study were consistent with previous findings, and the temporal expression patterns were consistent with their likely functions in development. For example, genes encoding protein kinases are known to be highly expressed in male nematodes [8,34,35]. Prior studies have shown that kinase containing enzymes are important for regulating sperm maturation by post-translational modification of proteins [35] and in signaling cascades in oocytes following fertilization [36,37]. Likewise, high expression of the nuclear receptor gene family in female worms is consistent with prior reports [6,8] and with a recent report that 17 out of 21 nuclear receptors identified in the insect T. castaneum play key roles in female reproduction (especially embryogenesis) [38]. A unique property of nuclear receptors that differentiates them from other receptor classes is their ability to directly interact with and control the expression of genomic DNA. Given their important regulatory role in various biological processes, nuclear receptors have long been considered to be potential drug targets [39].

Stage-associated transcriptomes identified by pairwise comparisons

The rationale behind this type of analysis is that transcriptional changes identified in pairwise comparisons may be essential for development and transition from one stage to the next. Different parasite stages encounter different environments [40,41]. This requires physical and physiological changes that are accompanied by altered expression of suites of genes with functions in many biological processes such as reproduction, development, and migration in the host [7,34,42]. Understanding these processes might help to identify new drug and vaccine targets in parasitic nematodes [43]. We performed five pairwise comparisons to identify transcripts essential for development and stage transition (L3 vs. L4, L4 vs. 6WF, L4 vs. 6WM, 6WF vs. AF and 6WM vs. AM), two pairwise comparisons to identify gender-associated transcripts (6WM vs. 6WF and AM vs. AF), and one pairwise comparison (Mf. vs. L3) to identify specific transcripts attributed to unique features of Mf and L3 stages.

Pair-wise comparisons focused on transcripts with significantly different expression (≥ 2-fold plus a FDR ≤ 0.05). The percentages of differentially expressed transcripts identified in pairwise comparisons ranged from 33% (6WM/AM) to 77% (Mf/L3). We tabulated the numbers of transcripts differentially expressed for each pairwise comparison and the numbers of upregulated transcripts in the developmental stages that comprise each pair (Table 1). The transcripts identified in these comparisons are provided in Additional file 7. Results from the pairwise comparisons are described in further detail in the following sections.

Additional file 7. Differentially expressed transcripts identified in pairwise comparisons.

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Table 1. Differentially expressed (DE) transcripts identified in pair-wise comparisons and the number of the transcripts upregulated by stage

Comparison of genes expressed in Mf and L3

A comparison of expressed transcripts of Mf and L3 stages identified more differentially expressed transcripts (3,449) than any of the other pairwise comparisons; 2,079 and 1,370 transcripts were upregulated in L3 and Mf, respectively. Distinct expression patterns of the cathepsin L-like cysteine proteinase family were identified in Mf and L3 stages. Transcripts that encode group Ia cathepsin L- like protease enzymes BmCPL-1 (Bm1_00065, Bm1_00870 and Bm1_53625), BmCPL-4 (Bm1_20385, Bm1_00095, and Bm1_13265) and BmCPL-8 (BMC04302) were upregulated in L3, whereas transcripts encoding the group Ic cathepsin L-like protease enzymes BmCPL-2 (Bm1_06180), BmCPL-3 (Bm1_06185) and BmCPL-6 (Bm1_06175 and Bm1_56245) were upregulated in Mf. The group Ia cathepsin L- like proteases were found to be highly expressed in filarial L3 and associated with larval molting and remodeling of the cuticle [26]. Moreover, a recent study shows that B. malayi parasites without Bm-cpl-1 are incapable of completing development to the L3 stage in mosquitoes [44]. However, the putative functions of the group Ic cathepsin L- like protease enzymes are still poorly understood. Upregulation of transcripts for these enzymes in Mf may provide a new clue for understanding the function of these enzymes in filarial parasites.

Enriched transcripts in the pairwise comparison are associated with key biological processes of stage-specific development, such as transition of Mf and L3 to new host. For example, transcripts (BmCHT1- Bm1_28620, Bm1_06755) which encode chitinase necessary for exsheathment of microfilariae [45,46] were upregulated in Mf, and L3s had higher transcription of genes that encode various types of collagen which are important components of L3 cuticle that may be important for protecting the parasites in the mammalian host environments. In addition, L3 expressed transcripts encode proteins involved in pathogenesis, parasitism, and stress resistance that facilitate establishment of infection in a mammalian host. Examples include B. malayi abundant larval protein family members BmALT-1 and 2 (Bm1_26880 and BMC12455) that may be used by invading larvae to modulate or evade host immune responses [47] and L3 transcripts (Bm1_14035 and Bm1_14040) that encode a venom allergen-like protein (BmVAL-1) associated with the transition to parasitism and highly expressed in non-activated hookworm L3 [48,49].

We investigated whether L3 upregulated transcripts are enriched potential homologues of C. elegans dauer-regulated genes identified by Wang and Kim [50]. BLAST searches identified 64 B. malayi L3 upregulated transcripts that are potential homologues of C. elegans dauer-regulated genes, and 11 of these are further characterized as dauer-enriched genes ( Additional file 8). The dauer-enriched genes presumably may be related to dauer-specific properties such as stress resistance and longevity [50]. Shared expression of homologous genes by C. elegans dauer larvae and filarial L3 may provide clues to mechanisms responsible for developmental arrest of filarial L3 in the arthropod host.

Additional file 8. Potential filarial homologues of C. elegans genes annotated as “dauer-regulated and dauer-enriched” identified in L3 upregulated transcripts vs. Mf.

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In addition to providing corroborating evidence for known-stage-associated genes as stated above, our results identified many transcripts for novel proteins that have not previously been associated with Mf or L3. Information on the timing of expression of novel genes may lead to hypotheses regarding their functions that can be tested with functional genomics.

Genes crucial for molting and growth are upregulated in L4 relative to the L3

The comparison of gene expression between L3 and L4 stages identified 2,590 differentially expressed genes. Of these, 1,393 transcripts were upregulated in L4. Transcripts important for development including stress or heat inducible molecules such as heat shock proteins and anti-oxidants were highly expressed in L4 stage relative to the L3 stage. This pairwise comparison also suggested that protein synthesis is more active in L4s than in L3s, because transcripts encoding many ribosomal proteins (97 different probes) were enriched in L4 compared to the developmentally arrested vector L3 stage. This may be because developing L4 parasites require a high level of biosynthesis to make components for new cuticle as reported in C. elegans[51,52]. Genes encoding various collagens and structural proteins such as actin, intermediate filament, and tubulin were also more highly expressed in L4. One of the upregulated collagen genes was Bm1_56360, an ortholog of C. elegans gene bli-1[5] which is exclusively expressed in L4 in that species and plays a crucial role in molting [52]. In addition, gene Bm1_55540 (an ortholog of C. elegans gene acn-1, which may regulate the production of peptide molting hormones [52,53]), was also highly expressed in B. malayi L4. Thus, transcription profiles appear to illustrate how filarial parasites coordinate gene expression with biological processes such as molting and growth in the mammalian host.

Pairwise comparisons of sexually immature and mature worms revealed temporal differences in gender-associated gene expression

Prior studies showed that 6WM and 6WF B. malayi worms (recovered from peritoneal cavity of jird) are not sexually mature and are still growing [53,54]. Transcripts differentially expressed in pairwise comparisons between sequential stages (L4 vs. 6WF, L4 vs. 6WM, 6WF vs.AF and 6WM vs. AM) are likely to be important for sexual development. Results of these comparisons were consistent with this hypothesis and with the findings of prior studies of gender-associated genes [6,8]. For example, transcripts for female-associated proteins such as high mobility binding protein and caveolin (Bm1_25620 and Bm1_36280) were enriched in growing 6WF parasites and transcripts for male-associated proteins such as major sperm protein and PDZ domain protein (Bm1_55755 and Bm1_14680) were abundant in growing 6WM parasites relative to L4 larvae. Likewise, transcripts for cathepsin protein gene family members BmCPL (Cathepsin L), BmCPF (cathepsin F), BmCPZ (cathepsin Z), and BmCPQ (cathepsin Q) that are essential for early sexual development and early embryogenesis in B. malayi parasites [26,55-57] were highly expressed in both 6WF and 6WM relative to L4 and adult worms (AM and AF).

Interestingly, some of the transcriptomic changes during sexual development were quite different in females and males. Many more upregulated transcripts (1,580) were found in 6WM stage than in 6WF (914) relative to L4. These results are consistent with known temporal differences in gender development of B. malayi. Prior studies have shown that sexual development occurs earlier in males than in females in B. pahangi[58,59], and spermatogenesis occurs prior to oogenesis in C. elegans hermaphrodites [60,61].

It has been proposed that the C. elegans genome can serve as a guide to examine aspects of the biology of parasitic nematode species [62], and we have shown that this comparative genomics approach has great power. When we cross-referenced upregulated transcripts in 6WF and 6WM relative to L4 with global expression patterns in C. elegans reported by Reinke et al. [32], 121 potential C. elegans homologues that are germline-, spermatogenesis-, oogenesis-, or embryogenesis-enriched were identified in 6WM upregulated transcripts. In contrast, only 41 were identified in 6WF upregulated transcripts relative to L4 (Figure 4 and Additional file 9). Again these results are consistent with the earlier sexual development of male filarial worms compared to females.

Additional file 9. Potential filarial homologues of C. elegans genes annotated as spermatogenesis-, oogenesis-, embryogenesis- and germline-enriched identified within data sets: upregulated transcripts in 6WM vs. L4, upregulated transcripts in 6WF vs. L4, upregulated transcripts in AM vs. 6WM and upregulated transcripts in AF vs. 6WF.

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thumbnailFigure 4. Distribution of the potential C. elegans homologues identified in gender-associated transcripts in pair-wise comparisons. These homologues were annotated as “germline-, oogenesis-, spermatogenesis-, and embryogenesis-enriched”. The numbers in each box represent the number of potential filarial homologues in each category.

Comparison of gene sets associated with development identified by clustering and by pair-wise comparison of gene expression

As expected, there was a significant overlap between the gene sets identified by these two approaches. For example, 978 of 1,038 of Mf enriched transcripts in Cluster one (94%) and 777 of 882 L3 enriched transcripts in Cluster two (88%) identified by hierarchical clustering were consistent with results obtained by pairwise comparisons, respectively. We have especially high confidence in transcription differences that were identified by both clustering and pairwise comparisons. Of course, pairwise analyses tend to identify more stage-regulated genes than global expression analysis. For example, L4 enriched transcripts identified in the L3 vs. L4 pairwise comparison (N = 1,393) far outnumbered the number of transcripts in Cluster three (L4 enriched, N = 786).

Gene ontology associations for developmentally regulated genes

A file containing all GO terms across all three categories (Biological_Process, Molecular_ Function or Cellular_Composition) mapped to V2 probes was generated and posted at Nematode.net [63] (http://www.nematode.net/NN3_frontpage.cgi?navbar_selection=funcexp&subnav_selection=microarray webcite). The full lists of enriched GO terms are provided in supplemental datasets. The significantly enriched GO associations annotated in various gene sets are present in additional files, genes constitutively expressed ( Additional file 10), genes expressed in Five clusters ( Additional file 11) and genes differentially expressed in pairwise comparisons ( Additional file 12).

Additional file 10. GO associations of transcripts constitutively expressed across the stages studied.

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Additional file 11. GO associations of transcripts expressed in five gene clusters.

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Additional file 12. GO associations of transcripts differentially expressed in pairwise comparisons.

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GO enriched Molecular Function categories for upregulated transcripts in AM and AF were consistent with previously reported GO categories for gender enriched transcripts [8]. For example, AM have enriched transcripts for protein tyrosine phosphatase activity (GO:0004725) and protein kinase activity (GO:0004672) whereas AF contain enriched transcripts associated with protein synthesis such as peptidyl-prolyl cis-trans isomerase activity (GO:0003755) and structural constituent of ribosome (GO:0003735).

Enriched GO terms in both Molecular Function and Biological Process tended to be quite distinct in different gene sets. For example, the majority of constitutively expressed gene products have GO term annotations that place their putative functional role in fundamentally important ‘house-keeping’ processes such as translation (GO:0006412) and response to heat and stress (GO:0009408 and GO:0006950) ( Additional file 10). The significantly enriched functional classes varied quite a bit between Clusters 1–5 ( Additional file 11), and they were consistent with the main biological processes for corresponding life cycle stages. The prominent biological processes in Cluster 3 (L4 enriched) were obviously related to events in the parasites’ development and survival in the mammalian host. These included immune response (GO:0006955) and responses to stress (GO:0006950) for survival and glycolysis (GO:0006096) for energy supply. Coordinately, enriched molecular function classes related to biological processes in Cluster 3 included antioxidant activity (GO:0016209) and phosphogluconate dehydrogenase (decarboxylating) activity (GO:0004616). By contrast, chitin catabolic process (GO:0006032) was one of the most significantly enriched biological processes in Cluster one (Mf stage enriched), and chitinase activity (GO:0004568) was a significantly enriched molecular function assigned to transcripts in that cluster.

While enriched GO annotations for clusters provide a broad view of the potential functions of molecules with stage-dependent expression patterns, GO enrichments assigned to upregulated transcripts in the various pair-wise comparisons provide further insight into molecular functions and biological processes that are associated with stage-specific transitions ( Additional file 12). For example, differentially expressed transcripts in 6WF relative to L4 have enriched GO terms with putative functional roles in the biological processes of response to stress, heat, oxidative stress and proteolysis, whereas the differentially expressed transcripts in 6WM over L4 have enriched GO terms with potential molecular functions of protein kinase, phosphatase and transferase activity, and ribosome structure (Figure 5 A and B). These results suggest that 6 week (immature adult) worms already have sex-specific transcription patterns associated with gender-associated biological processes.

thumbnailFigure 5. Functional categories of transcripts upregulated in B. malayi young adult worms identified by pair-wise comparison. Pie charts show functional annotations for each of the major gene sets based on gene ontology (GO) annotation. A: Functional categories for 6WF upregulated transcripts vs. L4; B: Functional categories of 6WM upregulated transcripts vs. L4. The molecular functions were quite distinct between these two gene sets.

Comparison of B. malayi transcriptomic data with published proteomic data

The integration of transcriptomic and proteomic data is a huge challenge. Until now, only a few published reports have attempted to do this on a large scale, and the results typically reveal only modest correlations between those two types of data [64-67]. With this in mind, we manually compared our transcriptome data with recently published B. malayi proteome data [10-13]. Among the proteins from five lifecycle stages (adult male, adult female, blood-borne and uterine microfilariae and infective L3 larvae) identified by Bennuru et al. [13], 63% (3,675 out of the 5,852 proteins that correspond to probes on array) had expression signals detected in the current study ( Additional file 13). Obviously, the proteome study did not report proteins for many transcripts detected in the present study. These differences are not surprising given limitations of the methods and differences in timing between transcription, translation, and detection of proteins in worms.

Additional file 13. Expressed transcripts with encoded proteins identified by previous proteomic studies.

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When we compared current transcriptional and proteomic profiles described by Bennuru et al. [13] in more detail, one of the striking findings was that the majority of transcripts with proteomic data (69%, 2,552 out of 3675 genes) were not differentially expressed across the lifecycle. This indicates that the proteins differentially expressed are less abundant in proteomic data. Among the 31% of proteins that were differentially expressed (1,122 out of 3,675), the highest percentage (34%) was observed in Cluster five (male-enriched). Some discrepancies between stage-related transcriptional and translational profiles may be biologically relevant. For example, the major microfilarial sheath protein (BmSHP) encoded by gene Bm-shp-1 (Bm1_19100) was enriched in the microfilarial proteome [13], while the transcript for BmSHP (Bm1_19100) was enriched in the female –enriched cluster (Cluster four) and not in the microfilarial cluster (Cluster one). These results are consistent with results from a prior in situ study that showed that Bm-shp-1was exclusively expressed in the uterine epithelium of female worms with no expression signal in embryos or microfilariae [68]. This type of information may be critically important for selection of candidate genes for RNAi experiments.

Conclusion

This study has provided detailed information on changes in gene expression across lifecycle stages of the filarial parasite B. malayi. Results in the current study are consistent with findings previously reported from transcriptome studies that focused on L3 and sexually mature adult male and adult female worms[7,8]. Approximately 61% of gender-associated transcripts from our previous study [8] were confirmed in the pairwise comparison of AF vs. AM in the current study. This consistency supports the validity of the current data, which show that gene expression is highly regulated and finely tuned across the B. malayi life cycle. Some genes were expressed in all stages at fairly constant levels, while expression of other genes varied by 10 to 80-fold. Many of these changes were consistent with parasite biology. For example, the transition of the parasite from the mosquito vector to the mammalian host was associated with increased transcription of genes involved in invasion, immune interactions, and molting, while the transition from immature to sexually mature stages disproportionately affect transcription of genes required for reproduction.

This study has provided a detailed description of transcriptional events across the life cycle of B. malayi. We have illustrated how global gene expression profiles can provide vital information on the development and biology of an important filarial parasite. Transcriptome information is complementary to that produced by genome sequencing and proteomics. By identifying stage-specific transcripts and other genes that are regulated across the life cycle, this study has shed new light on mechanisms used by these highly evolved parasites to establish infections and to survive and reproduce in their hosts.

Methods

Ethics statement

The animal work was carried out under protocols #20050377 and 20090045 that were approved by the Animal Studies Committee of Washington University School of Medicine at St Louis, Missouri, USA.

Collection of B. malayi life cycle stages

The life cycle of B. malayi and stages studied are shown in ( Additional file 1: Figure S1). Different stages at 2 wk post infection (L4), 6 and 12 week post infection of B. malayi worms (TRS strain) were isolated from the peritoneal cavity of i.p. infected jirds (Meriones unguiculatus) obtained from the NIAID Filariasis Research Reagent Resource Center (FR3) (University of Georgia, Athens, GA) as previously described [7]. Male and female worms collected from the animals 6 and 12 week post infection were carefully sexed by size and morphology. The worms were carefully washed in PBS and immediately frozen at –80o C. Microfilariae directly from the peritoneal cavity of infected jirds, and L3 larvae from mosquitoes were directly obtained from FR3.

RNA isolation, probe preparation and microarray hybridization

Total RNA was prepared from 30 mature adult worms, 1,000 L4, 1,000 6 week female, 1,000 6 week male, 3,000 L3, approximately 10,000 microfilariae per batch using TRIzol (GibcoBRL, Life Technologies) as previously described [6]. cDNA was synthesized from 5–7 ug female or male total RNA using 3DNA capture sequence primers (3DNA Array 350 Detection system, Genisphere, Hatfield, PA) and SuperScript II Reverse Transcriptase (Gibco BRL, Gaithersburg, MD) for each probe according to standard protocols. cDNA was concentrated using a Microcon YM-100 filter (Millipore) and either used immediately or stored at −80 0 C. cDNA synthesized from two different batches of each RNA sample that was independently prepared were used as biological replicates. A two-step protocol was used for hybridization (3DNA Array 350 Detection system, Genisphere, Hatfield, PA) as previously described [6]. Each experiment consisted of a pair-wise competitive hybridization of cDNA samples (stage/common reference pool) with reciprocal dye-flip replicates. A common mRNA reference pool was made from pooled mRNA with an equal amount of mRNA from each stage and representing all stages of life cycle studied. Because biological replicates and dye-flip replicates were tested, a total of four DNA microarrays were used for each comparison of two types of cDNA. Eight hybridizations were performed for each element on the array, as all probes are present in duplicate on the array.

Microarray fabrication

The BmV2 array contains 18,104 elements derived from B. malayi (15,412), Onchocerca volvulus (1,016), Wuchereria bancrofti (872) and Wolbachia (wBm, 804 genomic elements. All information regarding the BmV2 array including oligo name, sequence and source corresponding to the B. malayi genome (Bm1_nomenclature) and B. malayi peptide models (XXXXX.m00YY nomenclature) and B. malayi gene index (ESTs, TC nomenclature) and full length consensus sequences are available from http://www.filariasiscenter.org/brugia-malayi-genomics-and-bioinformatics-resources/ webcite. The features of the BmV2 array have been previously described [7]. The oligonucleotides (50 nM in 3x SSC with 0.75 M betaine) were printed in duplicate on MWG Epoxy slides (MWG Bioteche Inc, High Point, NC) by a locally constructed linear servo-arrayer (after the DeRisi model, http://derisilab.ucsf.edu webcite).

Microarray data extraction

Arrays slides were scanned immediately after hybridization on a ScanArray Express HT Scanner (Perkin Elmer,Boston, MA) to detect Cy3 and Cy5 fluorescence at 543 and 633 nm, respectively, and were analyzed with Bioconductor software [69]. After scanning, background correction was done to reduce the effect of background noise, followed by normalization with the Lowess method, and normalized array data were fitted into linear models to detect differential expression over different stages. These procedures were carried out with packages from Bioconductor, among them the linear model fitting was carried out with LIMMA of Bioconductor [70]. Normalized microarray data were also examined to determining gene expression presence. A gene was deemed “Present” in a specific stage when its normalized intensities of three out of the four replications of that stages not less than two folds of the mean intensity of negative controls. Differential expressed genes were defined as those with 1) multiple corrected P < 0.05 (F test) in the above mentioned linear model fitting with LIMMA and 2) at least “Present” in one stage. Pair-wise comparison was further carried out for all differentially expressed genes between interested stages. A total seven pair-wise comparisons were carried out. Significance was defined as P < 0.05 (T test). These were also done with LIMMA. All microarray data are MIAMI compliant and a full (including controls) set of raw and normalized data is available via Nematode.net [63] and raw data can be downloaded through http://www.nematode.net/NN3_frontpage.cgi?navbar_selection=funcexp&subnav_selection=microarray webcite.

Identification of gene sets associated with development

The differentially expressed genes (transcripts) detected using LIMMA were clustered based on their expression profile over different stages using K-means clustering implemented in Clara (http://astrostatistics.psu.edu/su07/R/html/cluster/html/clara.html webcite). The optimal number of clusters (5 in this study) was decided by comparing the silhouette information of clustering with different clusters.

Gene ontology (GO) analysis

Gene ontology annotation was done using InterProScan taking the default cutoff. GO term enrichment/depletion was detected using FUNC [71]. Multiple test corrected P < 0.05 was used to define enrichment/depletion. A hypergeometric test was performed to identify GO terms that were enriched in various gene sets, and GO terms having a hypergeometric P-value < 0.05 were considered to be enriched.

Identification of potential B. malayi homologues of C. elegans genes annotated as “embryogenesis-, spermatogenesis-, oogenesis and germline-enriched”, and “dauer-enriched”

The full length consensus sequences corresponding to BmV2 18,104 probe sets were queried against the non-redundant (NR) protein database of the National Center for Biotechnology Information (NCBI) and a C. elegans database (Wormpep 195) as previously described [8]. The best potential homologues were reported with a probability of 1e-05 or better. The best potential B. malayi homologues of C. elegans were identified in each expression data set. We then searched in-house stored C. elegans data sets including 1,984 -dauer regulated and 540 dauer-enriched genes [50] and germline- and sex-regulated genes [32] and the potential filarial homologues of C. elegans genes in those data sets were reported in each expression data set.

Abbreviation

LF: lymphatic filariasis; L3: infective larvae; Mf: microfilariae; 6WF: female worm collected 6 week post infected; 6WM: male worm collected 6 week post infected; AF: mature adult female worm collected 12 week post infected; AM: mature adult male worm collected 12 week post infected.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

BWL designed experiment, data mining, and analysis and drafted the manuscripts; ZW performed bioinformatical and statistical analyses; AR participated in data mining, analysis and qRT-PCR; MM participated in data analysis; GW designed experiment and drafted manuscript. All authors read and approved the final manuscript.

Acknowledgments

The authors wish to thank Michael Heinz for his excellent work in performing the hybridizations to the microarrays. The authors wish to thank NIAID Filariasis Research Reagent Resource Center (FR3) for supplying B. malayi parasites used in the current study. This work was in part supported by NIAID grant AI081803 to M.M. and by a grant from the Barnes-Jewish Hospital Foundation. The authors also wish to thank John Martin for his assistance in posting the data on Nematode.net.

References

  1. WHO: World Health Organization Global programme to eliminate lymphatic filariasis.

    Wkly Epidemiol Rec 2009, 42:437-444. OpenURL

  2. Geary TG, Woo K, McCarthy JS, Mackenzie CD, Horton J, Prichard RK, de Silva NR, Olliaro PL, Lazdins-Helds JK, Engels DA, Bundy DA: Unresolved issues in anthelmintic pharmacology for helminthiases of humans.

    Int J Parasitol 2010, 40:1-13. PubMed Abstract | Publisher Full Text OpenURL

  3. Boakye DA, Baidoo HA, Glah E, Brown C, Appawu M, Wilson MD: Monitoring lymphatic filariasis interventions: Adult mosquito sampling, and improved PCR - based pool screening method forWuchereria bancroftiinfection in Anopheles mosquitoes.

    Filaria J 2007, 6:13. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  4. Scott A (Ed): Lymphatic Filariasis. London: Imperial College Press; 2000. OpenURL

  5. Ghedin E, Wang S, Spiro D, Caler E, Zhao Q, Crabtree J, Allen JE, Delcher AL, Guiliano DB, Miranda-Saavedra D, et al.: Draft genome of the filarial nematode parasiteBrugia malayi.

    Science 2007, 317:1756-1760. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  6. Li BW, Rush AC, Crosby SD, Warren WC, Williams SA, Mitreva M, Weil GJ: Profiling of gender-regulated gene transcripts in the filarial nematodeBrugia malayiby cDNA oligonucleotide array analysis.

    Mol Biochem Parasitol 2005, 143:49-57. PubMed Abstract | Publisher Full Text OpenURL

  7. Li BW, Rush AC, Mitreva M, Yin Y, Spiro D, Ghedin E, Weil GJ: Transcriptomes and pathways associated with infectivity, survival and immunogenicity inBrugia malayiL3.

    BMC Genomics 2009, 10:267. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  8. Li BW, Rush AC, Jiang DJ, Mitreva M, Abubucker S, Weil GJ: Gender-associated genes in filarial nematodes are important for reproduction and potential intervention targets.

    PLoS Negl Trop Dis 2011, 5:e947. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  9. Ghedin E, Hailemariam T, DePasse JV, Zhang X, Oksov Y, Unnasch TR, Lustigman S: Brugia malayigene expression in response to the targeting of theWolbachiaendosymbiont by tetracycline treatment.

    PLoS Negl Trop Dis 2009, 3:e525. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  10. Moreno Y, Geary TG: Stage- and gender-specific proteomic analysis ofBrugia malayiexcretory-secretory products.

    PLoS Negl Trop Dis 2008, 2:e326. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  11. Hewitson JP, Harcus YM, Curwen RS, Dowle AA, Atmadja AK, Ashton PD, Wilson A, Maizels RM: The secretome of the filarial parasite,Brugia malayi: proteomic profile of adult excretory-secretory products.

    Mol Biochem Parasitol 2008, 160:8-21. PubMed Abstract | Publisher Full Text OpenURL

  12. Bennuru S, Semnani R, Meng Z, Ribeiro JM, Veenstra TD, Nutman TB: Brugia malayiexcreted/secreted proteins at the host/parasite interface: stage- and gender-specific proteomic profiling.

    PLoS Negl Trop Dis 2009, 3:e410. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  13. Bennuru S, Meng Z, Ribeiro JM, Semnani RT, Ghedin E, Chan K, Lucas DA, Veenstra TD, Nutman TB: Stage-specific proteomic expression patterns of the human filarial parasiteBrugia malayiand its endosymbiont Wolbachia.

    Proc Natl Acad Sci U S A 2011, 108:9649-9654. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  14. Ge H, Walhout AJ, Vidal M: Integrating ‘omic’ information: a bridge between genomics and systems biology.

    Trends Genet 2003, 19:551-560. PubMed Abstract | Publisher Full Text OpenURL

  15. Levesque MP, Benfey PN: Systems biology.

    Curr Biol 2004, 14:R179-R180. PubMed Abstract | Publisher Full Text OpenURL

  16. Choi YJ, Ghedin E, Berriman M, McQuillan J, Holroyd N, Mayhew GF, Christensen BM, Michalski ML: A deep sequencing approach to comparatively analyze the transcriptome of lifecycle stages of the filarial wormBrugia malayi.

    PLoS Negl Trop Dis 2011, 5:e1409. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  17. Arbeitman MN, Furlong EE, Imam F, Johnson E, Null BH, Baker BS, Krasnow MA, Scott MP, Davis RW, White KP: Gene expression during the life cycle ofDrosophila melanogaster.

    Science 2002, 297:2270-2275. PubMed Abstract | Publisher Full Text OpenURL

  18. Weiss M, Schrimpf S, Hengartner MO, Lercher MJ, von Mering C: Shotgun proteomics data from multiple organisms reveals remarkable quantitative conservation of the eukaryotic core proteome.

    Proteomics 2010, 10:1297-1306. PubMed Abstract | Publisher Full Text OpenURL

  19. Zang X, Yazdanbakhsh M, Jiang H, Kanost MR, Maizels RM: A novel serpin expressed by blood-borne microfilariae of the parasitic nematodeBrugia malayiinhibits human neutrophil serine proteinases.

    Blood 1999, 94:1418-1428. PubMed Abstract | Publisher Full Text OpenURL

  20. Gregory WF, Blaxter ML, Maizels RM: Differentially expressed, abundant trans-spliced cDNAs from larvalBrugia malayi.

    Mol Biochem Parasitol 1997, 87:85-95. PubMed Abstract | Publisher Full Text OpenURL

  21. Rogers wp, Petronijevic t (Eds): Biology and controp of endoparasites. Academic Press; 1982. OpenURL

  22. Fuhrman JA, Lane WS, Smith RF, Piessens WF, Perler FB: Transmission-blocking antibodies recognize microfilarial chitinase inbrugianlymphatic filariasis.

    Proc Natl Acad Sci U S A 1992, 89:1548-1552. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  23. Ruud KA, Kuhlow C, Goss DJ, Browning KS: Identification and characterization of a novel cap-binding protein fromArabidopsis thaliana.

    J Biol Chem 1998, 273:10325-10330. PubMed Abstract | Publisher Full Text OpenURL

  24. Gregory WF, Atmadja AK, Allen JE, Maizels RM: The abundant larval transcript-1 and −2 genes ofBrugia malayiencode stage-specific candidate vaccine antigens for filariasis.

    Infect Immun 2000, 68:4174-4179. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  25. Lustigman S, Zhang J, Liu J, Oksov Y, Hashmi S: RNA interference targeting cathepsin L and Z-like cysteine proteases ofOnchocerca volvulusconfirmed their essential function during L3 molting.

    Mol Biochem Parasitol 2004, 138:165-170. PubMed Abstract | Publisher Full Text OpenURL

  26. Guiliano DB, Hong X, McKerrow JH, Blaxter ML, Oksov Y, Liu J, Ghedin E, Lustigman S: A gene family of cathepsin L-like proteases of filarial nematodes are associated with larval molting and cuticle and eggshell remodeling.

    Mol Biochem Parasitol 2004, 136:227-242. PubMed Abstract | Publisher Full Text OpenURL

  27. Maizels RM, Balic A, Gomez-Escobar N, Nair M, Taylor MD, Allen JE: Helminth parasites–masters of regulation.

    Immunol Rev 2004, 201:89-116. PubMed Abstract | Publisher Full Text OpenURL

  28. Yeh KW, Jinn TL, Yeh CH, Chen YM, Lin CY: Plant low-molecular-mass heat-shock proteins: their relationship to the acquisition of thermotolerance in plants.

    Biotechnol Appl Biochem 1994, 19(Pt 1):41-49. PubMed Abstract OpenURL

  29. Raghavan N, Ghosh I, Eisinger WS, Pastrana D, Scott AL: Developmentally regulated expression of a unique small heat shock protein inBrugia malayi.

    Mol Biochem Parasitol 1999, 104:233-246. PubMed Abstract | Publisher Full Text OpenURL

  30. Nakamoto H, Vigh L: The small heat shock proteins and their clients.

    Cell Mol Life Sci 2007, 64:294-306. PubMed Abstract | Publisher Full Text OpenURL

  31. Gnanasekar M, Anandharaman V, Anand SB, Nutman TB, Ramaswamy K: A novel small heat shock protein 12.6 (HSP12.6) fromBrugia malayifunctions as a human IL-10 receptor binding protein.

    Mol Biochem Parasitol 2008, 159:98-103. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  32. Reinke V, Gil IS, Ward S, Kazmer K: Genome-wide germline-enriched and sex-biased expression profiles inCaenorhabditis elegans.

    Development 2004, 131:311-323. PubMed Abstract | Publisher Full Text OpenURL

  33. Kumar S, Chaudhary K, Foster JM, Novelli JF, Zhang Y, Wang S, Spiro D, Ghedin E, Carlow CK: Mining predicted essential genes ofBrugia malayifor nematode drug targets.

    PLoS One 2007, 2:e1189. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  34. Nisbet AJ, Cottee PA, Gasser RB: Genomics of reproduction in nematodes: prospects for parasite intervention?

    Trends Parasitol 2008, 24:89-95. PubMed Abstract | Publisher Full Text OpenURL

  35. Reinke V, Smith HE, Nance J, Wang J, Van Doren C, Begley R, Jones SJ, Davis EB, Scherer S, Ward S, Kim SK: A global profile of germline gene expression inC. elegans.

    Mol Cell 2000, 6:605-616. PubMed Abstract | Publisher Full Text OpenURL

  36. Boag PR, Newton SE, Gasser RB: Molecular aspects of sexual development and reproduction in nematodes and schistosomes.

    Adv Parasitol 2001, 50:153-198. PubMed Abstract OpenURL

  37. Boag PR, Ranganathan S, Newton SE, Gasser RB: A male-specific (cysteine-rich) protein ofOesophagostomum dentatum(Strongylida) with structural characteristics of a serine protease inhibitor containing two trypsin inhibitor-like domains.

    Parasitology 2002, 125:445-455. PubMed Abstract OpenURL

  38. Xu J, Tan A, Palli SR: The function of nuclear receptors in regulation of female reproduction and embryogenesis in the red flour beetle,Tribolium castaneum.

    J Insect Physiol 2010, 56:1471-1480. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  39. McDonnell DP, Vegeto E, Gleeson MA: Nuclear hormone receptors as targets for new drug discovery.

    Biotechnology (N Y) 1993, 11:1256-1261. OpenURL

  40. Nisbet AJ, Redmond DL, Matthews JB, Watkins C, Yaga R, Jones JT, Nath M, Knox DP: Stage-specific gene expression inTeladorsagia circumcincta(Nematoda: Strongylida) infective larvae and early parasitic stages.

    Int J Parasitol 2008, 38:829-838. PubMed Abstract | Publisher Full Text OpenURL

  41. Nikolaou S, Gasser RB: Prospects for exploring molecular developmental processes inHaemonchus contortus.

    Int J Parasitol 2006, 36:859-868. PubMed Abstract | Publisher Full Text OpenURL

  42. Devaney E, Martin SA, Thompson FJ: Stage-specific gene expression in lymphatic filarial nematodes.

    Parasitol Today 1996, 12:418-424. PubMed Abstract | Publisher Full Text OpenURL

  43. Knox DP, Redmond DL, Skuce PJ, Newlands GF: The contribution of molecular biology to the development of vaccines against nematode and trematode parasites of domestic ruminants.

    Vet Parasitol 2001, 101:311-335. PubMed Abstract | Publisher Full Text OpenURL

  44. Song C, Gallup JM, Day TA, Bartholomay LC, Kimber MJ: Development of an in vivo RNAi protocol to investigate gene function in the filarial nematodeBrugia malayi.

    PLoS Pathog 2010, 6:e1001239. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  45. Fuhrman JA, Lee J, Dalamagas D: Structure and function of a family of chitinase isozymes fromBrugiamicrofilariae.

    Exp Parasitol 1995, 80:672-680. PubMed Abstract | Publisher Full Text OpenURL

  46. Fuhrman JA, Piessens WF: Chitin synthesis and sheath morphogenesis inBrugia malayimicrofilariae.

    Mol Biochem Parasitol 1985, 17:93-104. PubMed Abstract | Publisher Full Text OpenURL

  47. Semnani RT, Law M, Kubofcik J, Nutman TB: Filaria-induced immune evasion: suppression by the infective stage ofBrugia malayiat the earliest host-parasite interface.

    J Immunol 2004, 172:6229-6238. PubMed Abstract | Publisher Full Text OpenURL

  48. Moser JM, Freitas T, Arasu P, Gibson G: Gene expression profiles associated with the transition to parasitism inAncylostoma caninumlarvae.

    Mol Biochem Parasitol 2005, 143:39-48. PubMed Abstract | Publisher Full Text OpenURL

  49. Hawdon JM, Jones BF, Hoffman DR, Hotez PJ: Cloning and characterization of Ancylostoma-secreted protein. A novel protein associated with the transition to parasitism by infective hookworm larvae.

    J Biol Chem 1996, 271:6672-6678. PubMed Abstract | Publisher Full Text OpenURL

  50. Wang J, Kim SK: Global analysis of dauer gene expression inCaenorhabditis elegans.

    Development 2003, 130:1621-1634. PubMed Abstract | Publisher Full Text OpenURL

  51. Singh RN SJ: Some observations on moulting inCaenorhabditis elegans.

    Nematologica 1978, 24:63-71. Publisher Full Text OpenURL

  52. Frand AR, Russel S, Ruvkun G: Functional genomic analysis ofC. elegansmolting.

    PLoS Biol 2005, 3:e312. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  53. Fischer K, Beatty WL, Jiang D, Weil GJ, Fischer PU: Tissue and stage-specific distribution of Wolbachia inBrugia malayi.

    PLoS Negl Trop Dis 2011, 5:e1174. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  54. Ash LR, Riley JM: Development of subperiodicBrugia malayiin the jird,Meriones unguiculatus, with notes on infections in other rodents.

    J Parasitol 1970, 56:969-973. PubMed Abstract | Publisher Full Text OpenURL

  55. Hashmi S, Britton C, Liu J, Guiliano DB, Oksov Y, Lustigman S: Cathepsin L is essential for embryogenesis and development ofCaenorhabditis elegans.

    J Biol Chem 2002, 277:3477-3486. PubMed Abstract | Publisher Full Text OpenURL

  56. Britton C, Murray L: A cathepsin L protease essential forCaenorhabditis elegansembryogenesis is functionally conserved in parasitic nematodes.

    Mol Biochem Parasitol 2002, 122:21-33. PubMed Abstract | Publisher Full Text OpenURL

  57. Ford L, Zhang J, Liu J, Hashmi S, Fuhrman JA, Oksov Y, Lustigman S: Functional analysis of the cathepsin-like cysteine protease genes in adultBrugia malayiusing RNA interference.

    PLoS Negl Trop Dis 2009, 3:e377. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  58. Ash LR RJ: Developmenotfbrugia pahangiin the jird,meriones unguiculatus, with notes on infections in other rodents.

    J Parasitol 1970, 56:962-968. PubMed Abstract | Publisher Full Text OpenURL

  59. Casiraghia MMJ, Simoncinia L, Kramerc LH, Sacchid L, Genchi C, Werren JH, Band C: Tetracycline treatment and sex-ratio distortion: a role forWolbachiain the moulting of filarial nematodes?

    Int J Parasitol 2002, 32:1457-1468. PubMed Abstract | Publisher Full Text OpenURL

  60. Hubbard EJA, Greenstein D: Introduction to the germ line. [http://www.wormbook.org] webcite

    WormBook (ed.T.C.e.R. Community, Wormbook) 2005. Publisher Full Text OpenURL

  61. Shakes DC, Wu JC, Sadler PL, Laprade K, Moore LL, Noritake A, Chu DS: Spermatogenesis-specific features of the meiotic program inCaenorhabditis elegans.

    PLoS Genet 2009, 5:e1000611. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  62. Bird DM, Opperman CH, Jones SJ, Baillie DL: TheCaenorhabritis elegansgenome: A Guide in The Post Genomics Age.

    Annu Rev Phytopathol 1999, 37:247-265. PubMed Abstract | Publisher Full Text OpenURL

  63. Martin J, Abubucker S, Heizer E, Taylor CM, Mitreva M: Nematode.net update 2011: addition of data sets and tools featuring next-generation sequencing data.

    Nucleic Acids Res 2012, 40:D720-D728. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  64. Greenbaum D, Colangelo C, Williams K, Gerstein M: Comparing protein abundance and mRNA expression levels on a genomic scale.

    Genome Biol 2003, 4:117. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  65. Washburn MP, Koller A, Oshiro G, Ulaszek RR, Plouffe D, Deciu C, Winzeler E, Yates JR 3rd: Protein pathway and complex clustering of correlated mRNA and protein expression analyses inSaccharomyces cerevisiae.

    Proc Natl Acad Sci U S A 2003, 100:3107-3112. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  66. Lu P, Vogel C, Wang R, Yao X, Marcotte EM: Absolute protein expression profiling estimates the relative contributions of transcriptional and translational regulation.

    Nat Biotechnol 2007, 25:117-124. PubMed Abstract | Publisher Full Text OpenURL

  67. Wu G, Nie L, Zhang W: Integrative analyses of posttranscriptional regulation in the yeastSaccharomyces cerevisiaeusing transcriptomic and proteomic data.

    Curr Microbiol 2008, 57:18-22. PubMed Abstract | Publisher Full Text OpenURL

  68. Jiang DJ, Li BW, Fischer PU, Weil GJ: Localization of gender-regulated gene expression in the filarial nematodeBrugia malayi.

    International Journal for Parasitology 2008, 38:503-512. PubMed Abstract | Publisher Full Text OpenURL

  69. Gentleman RC CV, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JY, Zhang J: Bioconductor: open software development for computational biology and bioinformatics.

    Genome Biol 2004, 5:R80. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  70. Smyth G: Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments.

    Stat Appl Genet Mol Biol 2004, 3:265-273. OpenURL

  71. Prufer K, Muetzel B, Do HH, Weiss G, Khaitovich P, Rahm E, Paabo S, Lachmann M, Enard W: FUNC: a package for detecting significant associations between gene sets and ontological annotations.

    BMC Bioinformatics 2007, 8:41. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL