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Identification of QTL-allele systems of seed size and oil content for simultaneous genomic improvement in Northeast China soybeans. | LitMetric

Identification of QTL-allele systems of seed size and oil content for simultaneous genomic improvement in Northeast China soybeans.

Front Plant Sci

Soybean Research Institute & MARA National Center for Soybean Improvement & MARA Key Laboratory of Biology and Genetic Improvement of Soybean & State Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization & State Innovation Platform for Integrated Production and Education in Soybean Bio-Breeding & Zhongshan Biological Breeding Laboratory & Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China.

Published: November 2024

AI Article Synopsis

  • Northeast China is a key region for soybean production, contributing significantly to global soybean genetics, particularly in the Americas.
  • A study evaluated 361 soybean germplasm accessions for 100-seed weight (100SW) and seed oil content (SOC), finding high heritability for both traits at over 82%.
  • A genome-wide association study identified numerous QTLs and alleles that can aid in breeding, with efficient cross design strategies proposed for simultaneous improvement of both traits.

Article Abstract

Northeast China (NEC) is the major production area for soybeans in China, whereas its soybean germplasm has played key roles in world soybean production, especially in the Americas. For plant breeding, genomic selection involves two stages, cross design and progeny selection, with the former determining the latter's potential. In NEC, one of the major breeding purposes is for 100-seed weight (100SW) and seed oil content (SOC). A diverse sample with 361 NEC soybean germplasm accessions was evaluated for their 100SW and SOC in Tieling, Liaoning, China. Both traits exhibited significant phenotypic, genotypic, and G × E variation, with a trait heritability of 82.38% and 86.26%, respectively. A restricted two-stage multi-locus genome-wide association study (RTM-GWAS) with 15,501 SNPLDB (SNP linkage disequilibrium block) markers identified 80 and 92 QTLs with 230 and 299 alleles for 100SW and SOC, respectively. Corresponding to some increase of the two traits, almost all the alleles in the early maturity groups (MG 0 + 00 + 000) were inherited from the late MGs (MG I+II+III), indicating that genetic recombination was the major motivator in addition to a few allele emergence and some allele exclusion fluctuations among early MGs. Using the 95th percentile as indicator, the prediction of recombination potentials showed that 30.43 g 100SW and 27.73% SOC might be achieved, respectively. Three strategies of simultaneous genomic improvement of both traits in designing optimal crosses, namely, 100SW-first, SOC-first, and 100SW-SOC-balance, were proved to be efficient. Thus, the optimal cross design could be extended to multiple traits based on a relatively thorough identification of the QTL-alleles using RTM-GWAS.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11602309PMC
http://dx.doi.org/10.3389/fpls.2024.1483995DOI Listing

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