Identification of QTL Associating with Eleven Agronomic Traits in Mungbean(Vigna radiata L.)
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Affiliation:

1.Institute of Crop Sciences,Chinese Academy of Agricultural Sciences;2.College of Agriculture, Heilongjiang Bayi Agricultural University

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Fund Project:

National Key Research & Development Program of China (2019YFD1001303,2019YFD1001300),China Agriculture Research System of MOF and MARA-Food Legumes (CARS-08),Science and Technology Innovation Project of Hebei Seed Industry(21326305D)

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    Abstract:

    As a traditional pulses crop in China,mungbean(Vigna radiata)plays important roles in diversifying human diets,fertilizing soils and disaster relief. However,compared with those major crops,the genetic and genomic study on mungbean has been far lagged,leading to a low efficient use of beneficial genes in breeding and a slow advance in genetic improvement of cultivars. By taking advantage of a RIL population with highdensity SNP genetic map,eleven agronomic traits(plant height,the number of branches per stem,pod length, pod width,the number of seeds per pod,seed color,seed luster,grain density,initial flowering time,content of chlorophyll and 100-seed weight)were investigated and mapped in this study. The results showed that the seed color was controlled by a single nucleus-encoded gene,whereas the segregation of seed luster became much complicated. For quantitative traits,a normal distribution on the frequency of 100-seed weight was observed. For 11 traits,20 QTLs were revealed from 14 genomic regions on 8 linkage groups. QTLs at LG3,LG5 and LG10 were both detected with multiple traits,and the target regions were overlapped. Four QTLs were detected with pod length,explaining 5.5%-12.3% of phenotypic variations. For the traits number of seeds per pod,seed luster,seed color and number of branches per stem,one QTL per trait was detected. The major QTLs for seed color and seed luster contributed 69.7% and 61.0% on phenotypic variation,respectively. Gained from annotation using KEGG and SNP variations,18 genes were proposed to be candidates associating with these 11 traits. Collectively,these results provided a basis for future characterizing these candidate genes and marker-assisted selection in mungbean breeding.

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History
  • Received:October 21,2021
  • Revised:December 14,2021
  • Adopted:December 29,2021
  • Online: March 09,2022
  • Published:
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