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. 2015 Mar 27;10(3):e0122206.
doi: 10.1371/journal.pone.0122206. eCollection 2015.

Rapid identification of major QTLs associated with rice grain weight and their utilization

Affiliations

Rapid identification of major QTLs associated with rice grain weight and their utilization

Feifei Xu et al. PLoS One. .

Abstract

To uncover the genetics of rice grain weight, we constructed an RIL population derived from a cross between a large grain accession M201 and a small size variety JY293. Specific Locus Amplified Fragment Sequencing (SLAF-Seq) technology was used to genotype two bulked DNA pools made from individual DNA of the heaviest 30 lines and the lightest 30 lines according to the 1000 grain weight (TGW). Bulked segregant analysis (BSA) was used to identify SLAFs strongly associated with TGW. Two marker-intensive regions at 24,600,000-24,850,000 bp and 25,000,000-25,350,000 bp on chromosome 3 were identified tightly related to the TGW. Then a linkage map of chromosome 3 was constructed with SSR markers and some SLAF derived single nucleotide polymorphisms (SNPs). Quantitative trait locus (QTL) mapping for TGW, grain length, grain width, and grain thickness revealed one major QTL in the second hot-region and two other minor QTLs for grain weight. These three QTLs displayed hierarchical effects on grain length and grain weight in order of qTGW3.2 (qGL3) qTGW3.1 (GS3) qTGW3.3. Multiple comparisons of means among the eight combinations of 3 QTLs revealed that the lines with two of three QTLs deriving from M201 displayed a large grain weight phenotype (TGW 40.2g, average data of three years) and lines with both qTGW3.1 and qTGW3.3 alleles from M201 (42.5g) had similar grain weight to the qTGW3.2 (40.8g) alone. Two strategies with similar effectiveness were proposed to improve grain weight by marker-assisted selection (MAS). One is to introduce the novel qTGW3.2 allele alone, and the other is to pyramid qTGW3.1 and qTGW3.3 alleles together. One new allele of GS3 (39 bp deletion in intron 1) and two SNPs in coding sequence of qGL3 identified in this study from M201 are useful in pyramiding elite alleles for molecular breeding for improvement of rice yield.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. A simplified scheme for SLAF-Seq.
(a) Thirty lines with largest TGW and 30 lines with lightest TGW were pooled and used for SLAF-Sequencing (the histogram was drawn based on the data collected at the F7 generation) (b) All SLAFs (black lines) distributed on 12 chromosomes (c) Polymorphic SLAFs (black lines) distributed on 12 chromosomes (d) Polymorphic markers (black lines) between two DNA bulks distributed on 12 chromosomes with intensive markers distributed in the block of chromosome 3. (e) Identification of the hot region for TGW. The reference genome is in the middle of the map, the green box means intergenic regions, orange box means gene regions, yellow box means repeat regions. Red and blue lines represent the relative abundance of the maternal and paternal alleles between two bulked DNA pools (Pool 1 and Pool 2).
Fig 2
Fig 2. Genetic linkage map of chromosome 3 and QTL mapping for TGW.
The linkage map was constructed with 32 markers, covering 179.4 cM, with an average distance of the adjacent markers of 5.61 cM (left); interval mapping for TGW was conducted and a plot of LOD scores was shown with three distinct peaks corresponding to qTGW3.1, qTGW3.2 and qTGW3.3 (right).

References

    1. Xing Y, Zhang Q. Genetic and molecular bases of rice yield. Annu Rev Plant Biol. 2010. ;61: 421–442. 10.1146/annurev-arplant-042809-112209 - DOI - PubMed
    1. Fan C, Xing Y, Mao H, Lu T, Han B, Xu C, et al. GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein. Theor Appl Genet. 2006; 112: 1164–1171. - PubMed
    1. Zhang X, Wang J, Huang J, Lan H, Wang C, Yin C. et al. Rare allele of OsPPKL1 associated with grain length causes extra-large grain and a significant yield increase in rice. P Natl Acad Sci USA. 2012; 109: 21534–21539. 10.1073/pnas.1219776110 - DOI - PMC - PubMed
    1. Hu Z, He H, Zhang S, Sun F, Xin X, Wang W, et al. A Kelch motif‐containing serine/threonine protein phosphatase determines the large grain QTL trait in rice. J Integr Plant Biol. 2012; 54: 979–990. 10.1111/jipb.12008 - DOI - PubMed
    1. Qi P, Lin Y, Song X, Shen J, Huang W, Shan J, et al. The novel quantitative trait locus GL3. 1 controls rice grain size and yield by regulating Cyclin-T1; 3. Cell Res. 2012; 22: 1666–1680. 10.1038/cr.2012.151 - DOI - PMC - PubMed

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