4.6 Article

QTL Location and Epistatic Effect Analysis of 100-Seed Weight Using Wild Soybean (Glycine soja Sieb. & Zucc.) Chromosome Segment Substitution Lines

期刊

PLOS ONE
卷 11, 期 3, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0149380

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资金

  1. Youth Academic Skeleton support plan of Heilongjiang Province
  2. Foundation for University Key Teacher by the Ministry of Education of Heilongjiang
  3. National Natural Science Foundation of China [31271747, 31471516, 31400074, 31401465]
  4. Research Fund for the Doctoral Program of Higher Education of China [20122325120015]
  5. China Postdoctoral Science Foundation [2012M520030]
  6. Natural Science Foundation of Heilongjiang Province of China [ZD201213]
  7. New Century Excellent Talent Training Plan of Heilongjiang Province Ordinary Institutions of Higher Learning [1252-NCET-004]
  8. 863 Program [2013AA102602]
  9. Heilongjiang Postdoctoral Science Foundation [LBH-Z12035, LBH-Z12045]
  10. Hong Kong Scholar Fellowship [2013-062]
  11. 'Academic Backbon' Project of Northeast Agricultural University [15XG02]

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Increasing the yield of soybean (Glycine max L. Merrill) is a main aim of soybean breeding. The 100-seed weight is a critical factor for soybean yield. To facilitate genetic analysis of quantitative traits and to improve the accuracy of marker-assisted breeding in soybean, a valuable mapping population consisting of 194 chromosome segment substitution lines (CSSLs) was developed. In these lines, different chromosomal segments of the Chinese cultivar Suinong 14 were substituted into the genetic background of wild soybean (Glycine soja Sieb. & Zucc.) ZYD00006. Based on these CSSLs, a genetic map covering the full genome was generated using 121 simple sequence repeat (SSR) markers. In the quantitative trait loci (QTL) analysis, twelve main effect QTLs (qSW-B1-1/2/3, qSW-D1b-1/2, qSWD-2-1/2, qSW-G-1/2/3, qSW-M-2 and qSW-N-2) underlying 100-seed weight were identified in 2011 and 2012. The epistatic effects of pairwise interactions between markers were analyzed in 2011 and 2012. The results clearly demonstrated that these CSSLs could be used to identify QTLs, and that an epistatic analysis was able to detect several sites with important epistatic effects on 100-seed weight. Thus, we identified loci that will be valuable for improving soybean 100-seed weight. These results provide a valuable foundation for identifying the precise location of genes of interest, and for designing cloning and marker-assisted selection breeding strategies targeting the 100-seed weight of soybean.

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