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Call for papers - Plant data notes

Guest Editors:
Faheem Shehzad Baloch: Sivas University of Science and Technology, Turkey
Cheng Song: West Anhui University, China

Submission Status: Open   |   Submission Deadline:  28 June 2024


BMC Genomic data is launching the Collection `Plant data notes´. This Collection aims to combine high-throughput omics and computational biology technologies to find a coherently matching geno-pheno association in medicinal and horticultural plant research. We encourage papers dedicated to improving our understanding of biological mechanisms or related data resources. Original Research articles, Data notes and Database articles will be considered.

Meet the Guest Editors

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Faheem Shehzad Baloch: Sivas University of Science and Technology, Turkey

Dr Baloch currently serves as an associate professor at Sivas University of Science and Technology. He is an accomplished researcher with over a decade of expertise in plant phenomics, genetics, and genomics, specializing in next-generation sequencing (NGS) and DNA molecular markers for plant genetics. He earned his Ph.D. in 2012 from the University of çukurova, Turkey, focusing on 'QTL mapping in wheat' with a joint fellowship from the Turkish Ministry of Education and TÜBİTAK. Dr Baloch’s work centers on germplasm characterization, genomic region identification, marker-assisted selection, and genomic prediction for improving cereals and legumes. He has over 110 Web of Science publications, 6 co-edited books, and 14 book chapters, garnering over 3400 citations on Google Scholar with an h-Index of 31.

Cheng Song: West Anhui University, China

Dr Song received his M.S.D. (Master of Science in Development) from Anhui Agricultural University, specializing in utilizing metabolic profiling technology and mass spectrometry for the quality evaluation of Dendrobium species. He subsequently earned a Ph.D., focusing on the identification of Dendrobium alkaloids. While initially delving into plant stress tolerance, his current interests lie in employing multi-omics alongside high-throughput sequencing technology to identify regulators involved in transcribing biosynthetic genes in medicinal and horticultural plants. Dr Song holds positions as an editorial board member and guest editor for distinguished journals, including BMC Genomic Data.


About the Collection

Medicinal and horticultural plants play multiple roles in our lives by providing sources of herbal medicines, beverages, vegetables, fruits, and as ornamental plants. In the last few years, high-throughput technologies have revolutionized the time scale and power of detection of physiological changes and biological mechanisms in plants. Indeed, current sequencing data and tools have helped us better understand their evolutionary history and provide genotype resources for molecular insight into economically important traits. The integration of multi-omics technologies (e.g., genomics, transcriptomics, proteomics, metabolomics, lipidomics, ionomics, and redoxomics) is currently at the forefront of plant research. The mining of multi-omics datasets and the development of new computational biology approaches for the reliable and efficient analysis of plant traits are necessary.

The `Plant data notes´ Collection aims to combine high-throughput omics and computational biology technologies to find a coherently matching geno-pheno association in medicinal and horticultural plant research. We encourage papers dedicated to improving our understanding of biological mechanisms or related data resources. Research articles, Data notes, and Database articles will be considered on the following topics, but not limited to:

  • Bioinformatics methods or machine learning approaches for modeling biological processes
  • Gene-environment interactions for economically important traits in plants
  • QTL mapping and genome-wide association studies in plants
  • Germplasm characterization using molecular and genomics techniques
  • New computational methods for gene expression data analysis
  • Bioinformatics approaches for modeling gene regulatory networks
  • Identification of important gene families in plant stress biology


Image credit: Artturi - stock.adobe.com

  1. Gleditsia sinensis is a significant tree species from both ecological and economic perspectives. However, its growth is hampered by temporary droughts during the seedling stage, thereby impeding the development o...

    Authors: Fuhua Liu, Yang Zhao, Xiurong Wang, Biao Wang, Feng Xiao and Kequan He
    Citation: BMC Genomic Data 2024 25:29
  2. YABBY gene family is a plant-specific transcription factor with DNA binding domain involved in various functions i.e. regulation of style, length of flowers, and polarity development of lateral organs in floweri...

    Authors: Mujahid Hussain, Muhammad Mubashar Javed, Adnan Sami, Muhammad Shafiq, Qurban Ali, Hafiz Sabah-Ud-Din Mazhar, Javaria Tabassum, Muhammad Arshad Javed, Muhammad Zeeshan Haider, Muhammad Hussain, Irfan Ali Sabir and Daoud Ali
    Citation: BMC Genomic Data 2024 25:26
  3. Sorghum (Sorghum bicolor (L.) Moench) is the fifth most important grain produced in the world. Interest for cultivating sorghum is increasing all over the world in the context of climate change, due to its low in...

    Authors: Camille Costes, Sergi Navarro Sanz, Caroline Calatayud, Alexandre Soriano, Hamza Mameri, Nancy Terrier and Mathilde Francin-Allami
    Citation: BMC Genomic Data 2024 25:14
  4. The cold stress susceptibility of tomato (Solanum lycopersicum) curtails its cultivation, with significant impact in temperate regions and on cropping seasons. To unravel genomic regions responsible for cold stre...

    Authors: Labiba Riyaz Shah, Nazeer Ahmed, Khursheed Hussain, Sheikh Mansoor, Tamana Khan, Imran Khan, Sumati Narayan, Baseerat Afroza, Imtiyaz Murtaza, Asif Bashir Shikari, Basharat Bhat and Khalid Z. Masoodi
    Citation: BMC Genomic Data 2024 25:9

Submission Guidelines

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This Collection welcomes submissions of original Research articles, Data notes, and Database articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that the type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Plant data notes" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.