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ORIGINAL RESEARCH article

Front. Plant Sci.
Sec. Plant Development and EvoDevo
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1372037
This article is part of the Research Topic Molecular Basis of Seed Germination and Dormancy, Volume II View all articles

Mapping of quantitative trait loci (QTLs) and mining of candidate genes for seed viability in soybean [Glycine max (L.) Merr.]

Provisionally accepted
Manisha Saini Manisha Saini 1Raju R. Yadav Raju R. Yadav 1Rahul Kumar Rahul Kumar 2Subhash Chandra Subhash Chandra 3*N K. Rathod N K. Rathod 1*Meniari Taku Meniari Taku 1*Manu Yadav Manu Yadav 1Sudipta Basu Sudipta Basu 1*Ambika Rajendran Ambika Rajendran 1S K Lal S K Lal 1Akshay Talukdar Akshay Talukdar 1*
  • 1 Indian Agricultural Research Institute (ICAR), New Delhi, India
  • 2 ICAR-Resarch complex for NEH Region Tripura centre lembucherra, Tripura, India
  • 3 Central institute of cotton resesarch, RS Sirsa, Sirsa, Haryana, India

The final, formatted version of the article will be published soon.

    Soybean [Glycine max (L.) Merrill] contains 18-20% oil, 40-45% protein and countless nutrients vital for human health. It is grown worldwide for food, feed, pharmaceutical and industrial applications. However, inherent loss of seed viability during ambient storage poses serious bottleneck in the production and maintenance of quality seeds.In this study, an attempt was made to map QTLs and identify candidate genes for seed viability in soybean. A high viable genotype EC1023 (>90% germination after one year of storage) was hybridized with VLS61, a poor storing genotype (<70% germination after one year of storage), and the F1 seeds were advanced to the next generation. The F2:3 seeds were subjected to accelerated ageing (AA) followed by viability testing through germination test. The germination of the parental genotypes EC1023 and VLS61 were 40% and 14%, respectively, and that of the F2:3 seeds ranged from 4.16% to 71.42 % indicating wide variability in the viability of the seeds. Genetic polymorphism studied with 506 SSR markers indicated the polymorphism between the parental genotypes to be 20.35%; however, distribution of the polymorphism was not uniform across the chromosomes; Chr. 14 had 30.00 % polymorphism as against 7.14 % on Chrs. 12. Through QTL ICIM approach, 8 QTL for seed viability were mapped on viz., 6, 7, 8, 10, 13 and 17, respectively. The phenotypic variation of the QTLs were 1.97-11.10%. Two QTL viz., qSv-7.1 (PVE=11.10%) and qSv13.1 (PVE=11.08%) appeared to be major QTLs for seed viability and rest minor ones. All QTL except qSv8.2 appeared to be novel. The mapped QTLs were validated in 40 interspecific RILs with varying level of seed viability. The SSR markers Satt538 linked to the QTL qSv8.2 could successfully (70%) separate the highly viable RILs from the poor-viable RILs. Similarly, SSR markers Sat_316 and Sat_173 were successful by 80-85% in separating the high and poor viable RILs. Based on PANTHER and gene annotation information,more than 500 candidate genes for seed viability underlying the mapped QTL were identified. The mapped QTL and the identified candidate genes will pave the way for marker-assisted breeding of soybean to generate genotypes with improved seed viability.

    Keywords: Numbering: Continuous Soybean, Seed viability, QTLs, candidate genes, Marker assisted breeding, Germination% Font: (Default) Times New Roman, 12 pt, Complex Script Font: Times New Roman

    Received: 17 Jan 2024; Accepted: 01 Jul 2024.

    Copyright: © 2024 Saini, Yadav, Kumar, Chandra, Rathod, Taku, Yadav, Basu, Rajendran, Lal and Talukdar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Subhash Chandra, Central institute of cotton resesarch, RS Sirsa, Sirsa, 125055, Haryana, India
    N K. Rathod, Indian Agricultural Research Institute (ICAR), New Delhi, India
    Meniari Taku, Indian Agricultural Research Institute (ICAR), New Delhi, India
    Sudipta Basu, Indian Agricultural Research Institute (ICAR), New Delhi, India
    Akshay Talukdar, Indian Agricultural Research Institute (ICAR), New Delhi, India

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