Literature DB >> 28640939

Global transcriptome and coexpression network analyses reveal cultivar-specific molecular signatures associated with seed development and seed size/weight determination in chickpea.

Rohini Garg1,2, Vikash K Singh1, Mohan Singh Rajkumar1, Vinay Kumar1, Mukesh Jain1,3.   

Abstract

Seed development is an intricate process regulated via a complex transcriptional regulatory network. To understand the molecular mechanisms governing seed development and seed size/weight in chickpea, we performed a comprehensive analysis of transcriptome dynamics during seed development in two cultivars with contrasting seed size/weight (small-seeded, Himchana 1 and large-seeded, JGK 3). Our analysis identified stage-specific expression for a significant proportion (>13%) of the genes in each cultivar. About one half of the total genes exhibited significant differential expression in JGK 3 as compared with Himchana 1. We found that different seed development stages can be delineated by modules of coexpressed genes. A comparative analysis revealed differential developmental stage specificity of some modules between the two cultivars. Furthermore, we constructed transcriptional regulatory networks and identified key components determining seed size/weight. The results suggested that extended period of cell division during embryogenesis and higher level of endoreduplication along with more accumulation of storage compounds during maturation determine large seed size/weight. Further, we identified quantitative trait loci-associated candidate genes harboring single nucleotide polymorphisms in the promoter sequences that differentiate small- and large-seeded chickpea cultivars. The results provide a valuable resource to dissect the role of candidate genes governing seed development and seed size/weight in chickpea.
© 2017 The Authors The Plant Journal © 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Cicer arietinumzzm321990; GSE79719; GSE79720; coexpression network; gene expression; seed development; seed size/weight; transcriptional modules; transcriptome dynamics

Mesh:

Year:  2017        PMID: 28640939     DOI: 10.1111/tpj.13621

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  44 in total

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4.  An integrated transcriptome mapping the regulatory network of coding and long non-coding RNAs provides a genomics resource in chickpea.

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7.  Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize.

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8.  Genome-wide bisulphite-sequencing reveals organ-specific methylation patterns in chickpea.

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Journal:  Sci Rep       Date:  2018-06-26       Impact factor: 4.379

9.  Comprehensive Transcriptome Analyses Reveal Candidate Genes for Variation in Seed Size/Weight During Peanut (Arachis hypogaea L.) Domestication.

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10.  Transcriptome profiling reveals the spatial-temporal dynamics of gene expression essential for soybean seed development.

Authors:  Hengyou Zhang; Zhenbin Hu; Yuming Yang; Xiaoqian Liu; Haiyan Lv; Bao-Hua Song; Yong-Qiang Charles An; Zhimin Li; Dan Zhang
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