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Open Access Highly Accessed Research article

Transcriptome analysis of rice root responses to potassium deficiency

Tian-Li Ma, Wei-Hua Wu and Yi Wang*

Author Affiliations

State Key Laboratory of Plant Physiology and Biochemistry (SKLPPB), National Plant Gene Research Centre (Beijing), College of Biological Sciences, China Agricultural University, #2 West Yuan Ming Yuan Rd, Beijing, 100193, China

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BMC Plant Biology 2012, 12:161  doi:10.1186/1471-2229-12-161

Published: 10 September 2012

Additional files

Additional file 1:

Correlation coefficient analysis of 18 microarrays.

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Additional file 2:

Numbers of probe sets under control (CK) and low-K+(LK) conditions.

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Additional file 3:

All genes showing transcriptional changes during K+-deficiency.

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Additional file 4:

Functional classification of genes showing transcriptional changes (up-regulated and down-regulated) at 6 h (A), 3 d (B), and 5 d (C) of K+deficiency. AgriGO web-based tool was used to analyze GO categories of differentially expressed genes. Numbers of genes showing transcriptional changes in 13 main biological categories are shown.

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Additional file 5:

Genes encoding calcium sensors and peroxidase proteins showing transcriptional changes during K+-deficiency treatment.

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Additional file 6:

Expression levels ofOsCIPKgenes during K+deficiency.

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Additional file 7:

Expression levels ofOsWNKgenes during K+deficiency.

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Additional file 8:

Expression levels ofOsHAK(A) andOsHKT(B) genes during K+deficiency.

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Additional file 9:

Comparison of differentially expressed genes between rice andArabidopsisin responses to K+deficiency.

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Additional file 10:

Comparison of GO classifications between rice andArabidopsisin responses to K+deficiency.

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Additional file 11:

Hormone- and auxin-responsive genes showing transcriptional changes during K+deficiency.

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Additional file 12:

Gene-specific primers used in real-time PCR experiments.

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