eprintid: 10288
rev_number: 13
eprint_status: archive
userid: 1305
dir: disk0/00/01/02/88
datestamp: 2017-11-21 08:18:11
lastmod: 2017-11-21 08:18:11
status_changed: 2017-11-21 08:18:11
type: conference_item
metadata_visibility: show
creators_name: Parida, S K
creators_name: Kujur, A
creators_name: Bajaj, D
creators_name: Das, S
creators_name: Srivastava, R.
creators_name: Badoni, S
creators_name: Laxmi, -
creators_name: Thakro, V
creators_name: Basu, U
creators_name: Daware, A
creators_name: Upadhyaya, H D
creators_name: Tripathi, S
creators_name: Bharadwaj, C
icrisatcreators_name: Upadhyaya, H D
affiliation: National Institute of Plant Genome Research (NIPGR) (New Delhi)
affiliation: ICRISAT (Patancheru)
affiliation: Division of Genetics, Indian Agricultural Research Institute (IARI) (New Delhi)
country: India
title: Integrative genome-wide association studies (GWAS) to understand complex genetic architecture of quantitative traits in chickpea
ispublished: pub
subjects: s1.1
subjects: s2.13
divisions: CRPS3
full_text_status: public
pres_type: paper
keywords: Chickpea cultivars, Genomics, Chickpea genetic enhancement, Genome-wide association studies
abstract: Development of high-yielding stress-tolerant chickpea cultivars
is essential to enhance its yield potential and productivity amidst
climate change scenario. Unfortunately, superior lines/recombinants
producing higher pod and seed yield under stress are not
available in world chickpea collection. Therefore, genetic dissection
of complex stress tolerance and yield-contributing quantitative
traits is the prime objective in current chickpea genomics
and breeding research. Our study employed diverse GWAS-assisted
integrated genomic strategies involving classical genetic
inheritance analysis, QTL mapping, differential transcript profiling,
molecular haplotyping and haplotype-based gene domestication/
evolution study for rapid quantitative dissection of complex
yield and stress tolerance traits in chickpea. To accomplish
this, multi-location/years replicated yield traits-related field
phenotyping and high-throughput marker genotyping information
generated from numerous natural germplasm accessions
(association panel) and multiple intra- and inter-specific mapping
populations of chickpea were deployed in the aforesaid
combinatorial genomic approaches. These analyses delineated
12 novel alleles and six haplotypes from 10 transcription factor
genes and 16 major QTLs/eQTLs governing yield and stress tolerance
traits that were mapped on 10 ultra-high density chickpea
genetic linkage maps. The superior natural alleles/haplotypes of
two major genes (QTLs) regulating seed weight and pod/seed
number identified from cultivated and wild Cicer gene pools are
being introduced into multiple high-yielding Indian varieties of
chickpea for its marker-assisted genetic improvement. The potential
molecular signatures delineated using integrated genomics-
assisted breeding strategies have functional significance to
understand the molecular genetic mechanism and natural allelic
diversity-led domestication pattern underlying these complex
quantitative traits at a genome-wide scale, leading to fast-paced
translational genomics for chickpea genetic enhancement.
These essential outcomes will be useful for devising the most
efficient strategies to produce high-yielding climate-resilient
chickpea cultivars for sustaining global food security.
date: 2017-02
date_type: published
pagerange: 101
event_title: InterDrought-V
event_location: Hyderabad, India
event_dates: February 21-25, 2017
event_type: conference
refereed: TRUE
related_url_url: http://idv.ceg.icrisat.org/wp-content/uploads/2017/02/Abstract_Book_Final.pdf
related_url_type: org
citation:   Parida, S K and Kujur, A and Bajaj, D and Das, S and Srivastava, R. and Badoni, S and Laxmi, - and Thakro, V and Basu, U and Daware, A and Upadhyaya, H D and Tripathi, S and Bharadwaj, C  (2017) Integrative genome-wide association studies (GWAS) to understand complex genetic architecture of quantitative traits in chickpea.  In: InterDrought-V, February 21-25, 2017, Hyderabad, India.     
document_url: http://oar.icrisat.org/10288/1/Abstract_Book_114.pdf