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Mining for heat stress responsive genes by RNA-Seq based comprehensive gene expression analyses in chickpea (Cicer arietinum L.)

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Relation http://oar.icrisat.org/10256/
 
Title Mining for heat stress responsive genes by RNA-Seq based comprehensive gene expression analyses in chickpea (Cicer arietinum L.)
 
Creator Kudapa, H
Agarwal, G
Chitikineni, A
Gaur, P M
Krishnamurthy, L
Varshney, R K
 
Subject Chickpea
Genetics and Genomics
 
Description Chickpea (Cicer arietinum L.), an important legume crop, is adversely
affected by abiotic stresses such as heat, drought and
salinity. Amongst these stresses, heat stress is the main abiotic
stress that has an adverse impact on almost all aspects of plant
development, growth, reproduction and yield. Development of
genomic resources is a pre-requisite to develop heat-tolerant
chickpea varieties. In this context, RNA-Seqbased transcriptome
analysis was performed on vegetative (leaves and roots)
and reproductive (leaves, roots and flowers) tissues of six contrasting
heat responsive (tolerant - ICCV 92944, ICC 1356, ICC
15614 and sensitive - ICC 5912, ICC 4567, ICC 10685) genotypes.
A total of ~514 million reads were generated and alignment
of these reads against the available chickpea genome
assembly resulted in mapping of 469 (92.9%) million reads.
Furthermore, gene expression analysis resulted in identification
of 7,670 significantly differentially expressed genes, including
874 novel genes between contrasting genotypes. A set of 56
stress responsive genes belonging to APETALA2/Ethylene Responsive
Factor (AP2/ERF), Heat Shock Protein (HSP) and 90
families are selected for further validation using quantitative real
time PCR. Moreover >22,456 single nucleotide polymorphisms
(SNPs)/INDELs were identified between parental genotypes of
two mapping populations (ICC15614 × ICC 4567 and ICC 1356 ×
ICC 4567). Novel differentially expressed genes along with the
marker resources identified in this study should help breeders in
developing heat tolerant chickpea varieties in efficient manner.
 
Date 2017-02
 
Type Conference or Workshop Item
PeerReviewed
 
Format application/pdf
 
Language en
 
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Identifier http://oar.icrisat.org/10256/1/Abstract_Book_100.pdf
Kudapa, H and Agarwal, G and Chitikineni, A and Gaur, P M and Krishnamurthy, L and Varshney, R K (2017) Mining for heat stress responsive genes by RNA-Seq based comprehensive gene expression analyses in chickpea (Cicer arietinum L.). In: InterDrought-V, February 21-25, 2017, Hyderabad, India.