Quantitative Trait Locus Mapping for Drought Tolerance in Soybean Recombinant Inbred Line Population.

candidate gene quantitative trait locus recombinant inbred line soybean drought tolerance weighted drought coefficient

Journal

Plants (Basel, Switzerland)
ISSN: 2223-7747
Titre abrégé: Plants (Basel)
Pays: Switzerland
ID NLM: 101596181

Informations de publication

Date de publication:
31 Aug 2021
Historique:
received: 05 07 2021
revised: 25 08 2021
accepted: 30 08 2021
entrez: 28 9 2021
pubmed: 29 9 2021
medline: 29 9 2021
Statut: epublish

Résumé

Improving drought stress tolerance of soybean could be an effective way to minimize the yield reduction in the drought prevailing regions. Identification of drought tolerance-related quantitative trait loci (QTLs) is useful to facilitate the development of stress-tolerant varieties. This study aimed to identify the QTLs for drought tolerance in soybean using a recombinant inbred line (RIL) population developed from the cross between a drought-tolerant 'PI416937' and a susceptible 'Cheonsang' cultivar. Phenotyping was done with a weighted drought coefficient derived from the vegetative and reproductive traits. The genetic map was constructed using 2648 polymorphic SNP markers that distributed on 20 chromosomes with a mean genetic distance of 1.36 cM between markers. A total of 10 QTLs with 3.52-4.7 logarithm of odds value accounting for up to 12.9% phenotypic variance were identified on seven chromosomes. Five chromosomes-2, 7, 10, 14, and 20-contained one QTL each, and chromosomes 1 and 19 harbored two and three QTLs, respectively. The chromosomal locations of seven QTLs overlapped or located close to the related QTLs and/or potential candidate genes reported earlier. The QTLs and closely linked markers could be utilized in maker-assisted selection to accelerate the breeding for drought tolerance in soybean.

Identifiants

pubmed: 34579348
pii: plants10091816
doi: 10.3390/plants10091816
pmc: PMC8471639
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Rural Development Administration
ID : PJ01186802

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Auteurs

Sanjeev Kumar Dhungana (SK)

Department of Southern Area Crop Science, Upland Crop Breeding Research Division, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Korea.

Ji-Hee Park (JH)

Department of Southern Area Crop Science, Upland Crop Breeding Research Division, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Korea.

Jae-Hyeon Oh (JH)

Department of Agricultural Biotechnology, Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Korea.

Beom-Kyu Kang (BK)

Department of Southern Area Crop Science, Upland Crop Breeding Research Division, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Korea.

Jeong-Hyun Seo (JH)

Department of Southern Area Crop Science, Upland Crop Breeding Research Division, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Korea.

Jung-Sook Sung (JS)

Department of Southern Area Crop Science, Upland Crop Breeding Research Division, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Korea.

Hong-Sik Kim (HS)

Department of Central Area Crop Science, Crop Post-Harvest Technology Division, National Institute of Crop Science, Rural Development Administration, Suwon 16429, Korea.

Sang-Ouk Shin (SO)

Department of Southern Area Crop Science, Upland Crop Breeding Research Division, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Korea.

In-Youl Baek (IY)

Department of Southern Area Crop Science, Upland Crop Breeding Research Division, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Korea.

Chan-Sik Jung (CS)

Department of Southern Area Crop Science, Upland Crop Breeding Research Division, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Korea.

Classifications MeSH