TY - JOUR
T1 - Indel-seq
T2 - A fast-forward genetics approach for identification of trait-associated putative candidate genomic regions and its application in pigeonpea (Cajanus cajan)
AU - Singh, Vikas K.
AU - Khan, Aamir W.
AU - Saxena, Rachit K.
AU - Sinha, Pallavi
AU - Kale, Sandip M.
AU - Parupalli, Swathi
AU - Kumar, Vinay
AU - Chitikineni, Annapurna
AU - Vechalapu, Suryanarayana
AU - Sameer Kumar, Chanda Venkata
AU - Sharma, Mamta
AU - Ghanta, Anuradha
AU - Yamini, Kalinati Narasimhan
AU - Muniswamy, Sonnappa
AU - Varshney, Rajeev K.
PY - 2017/7
Y1 - 2017/7
N2 - Identification of candidate genomic regions associated with target traits using conventional mapping methods is challenging and time-consuming. In recent years, a number of single nucleotide polymorphism (SNP)-based mapping approaches have been developed and used for identification of candidate/putative genomic regions. However, in the majority of these studies, insertion-deletion (Indel) were largely ignored. For efficient use of Indels in mapping target traits, we propose Indel-seq approach, which is a combination of whole-genome resequencing (WGRS) and bulked segregant analysis (BSA) and relies on the Indel frequencies in extreme bulks. Deployment of Indel-seq approach for identification of candidate genomic regions associated with fusarium wilt (FW) and sterility mosaic disease (SMD) resistance in pigeonpea has identified 16 Indels affecting 26 putative candidate genes. Of these 26 affected putative candidate genes, 24 genes showed effect in the upstream/downstream of the genic region and two genes showed effect in the genes. Validation of these 16 candidate Indels in other FW- and SMD-resistant and FW- and SMD-susceptible genotypes revealed a significant association of five Indels (three for FW and two for SMD resistance). Comparative analysis of Indel-seq with other genetic mapping approaches highlighted the importance of the approach in identification of significant genomic regions associated with target traits. Therefore, the Indel-seq approach can be used for quick and precise identification of candidate genomic regions for any target traits in any crop species.
AB - Identification of candidate genomic regions associated with target traits using conventional mapping methods is challenging and time-consuming. In recent years, a number of single nucleotide polymorphism (SNP)-based mapping approaches have been developed and used for identification of candidate/putative genomic regions. However, in the majority of these studies, insertion-deletion (Indel) were largely ignored. For efficient use of Indels in mapping target traits, we propose Indel-seq approach, which is a combination of whole-genome resequencing (WGRS) and bulked segregant analysis (BSA) and relies on the Indel frequencies in extreme bulks. Deployment of Indel-seq approach for identification of candidate genomic regions associated with fusarium wilt (FW) and sterility mosaic disease (SMD) resistance in pigeonpea has identified 16 Indels affecting 26 putative candidate genes. Of these 26 affected putative candidate genes, 24 genes showed effect in the upstream/downstream of the genic region and two genes showed effect in the genes. Validation of these 16 candidate Indels in other FW- and SMD-resistant and FW- and SMD-susceptible genotypes revealed a significant association of five Indels (three for FW and two for SMD resistance). Comparative analysis of Indel-seq with other genetic mapping approaches highlighted the importance of the approach in identification of significant genomic regions associated with target traits. Therefore, the Indel-seq approach can be used for quick and precise identification of candidate genomic regions for any target traits in any crop species.
KW - Bulked segregant analysis
KW - Fusarium wilt
KW - Indels
KW - Sterility mosaic disease
KW - Whole-genome resequencing
UR - http://www.scopus.com/inward/record.url?scp=85013042281&partnerID=8YFLogxK
U2 - 10.1111/pbi.12685
DO - 10.1111/pbi.12685
M3 - Article
C2 - 28027425
AN - SCOPUS:85013042281
VL - 15
SP - 906
EP - 914
JO - Plant Biotechnology Journal
JF - Plant Biotechnology Journal
SN - 1467-7644
IS - 7
ER -