Mapping Quantitative Trait Loci of Resistance to Tomato Spotted Wilt Virus and Leaf Spots in a Recombinant Inbred Line Population of Peanut (Arachis hypogaea L.) from SunOleic 97R and NC94022
ISI journal
Impact factor: 2.766 (Year: 2016)
Author(s)
Citation
Pawan Khera, Manish K Pandey, Hui Wang, Suping Feng, Lixian Qiao, Albert K. Culbreath, Sandip Kale, Jianping Wang, C. Corley Holbrook, Weijian Zhuang, Rajeev Varshney, Baozhu Guo. (18/7/2016). Mapping Quantitative Trait Loci of Resistance to Tomato Spotted Wilt Virus and Leaf Spots in a Recombinant Inbred Line Population of Peanut (Arachis hypogaea L. ) from SunOleic 97R and NC94022. PLoS ONE, 11 (7).
Abstract
Peanut is vulnerable to a range of diseases, such as Tomato spotted wilt virus (TSWV) and
leaf spots which will cause significant yield loss. The most sustainable, economical and
eco-friendly solution for managing peanut diseases is development of improved cultivars
with high level of resistance. We developed a recombinant inbred line population from the
cross between SunOleic 97R and NC94022, named as the S-population. An improved
genetic linkage map was developed for the S-population with 248 marker loci and a marker
density of 5.7 cM/loci. This genetic map was also compared with the physical map of diploid
progenitors of tetraploid peanut, resulting in an overall co-linearity of about 60% with the
average co-linearity of 68% for the A sub-genome and 47% for the B sub-genome. The
analysis using the improved genetic map and multi-season (2010–2013) phenotypic data
resulted in the identification of 48 quantitative trait loci (QTLs) with phenotypic variance
explained (PVE) from 3.88 to 29.14%. Of the 48 QTLs, six QTLs were identified for resistance
to TSWV, 22 QTLs for early leaf spot (ELS) and 20 QTLs for late leaf spot (LLS),
which included four, six, and six major QTLs (PVE larger than 10%) for each disease,
respectively. A total of six major genomic regions (MGR) were found to have QTLs controlling
more than one disease resistance. The identified QTLs and resistance gene-rich MGRs
will facilitate further discovery of resistance genes and development of molecular markers
for these important diseases.
DSpace URI
https://hdl.handle.net/20.500.11766/6688Collections
- Agricultural Research Knowledge [12030]
Author(s) ORCID(s)
Pandey, Manish Khttps://orcid.org/0000-0002-4101-6530
Subject(s)
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