Improvement of Rice Biomass Yield through QTL-Based Selection.
Improvement of Rice Biomass Yield through QTL-Based Selection.
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DOI：
10.1371/journal.pone.0151830
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Yano M
中科院分区：
文献类型：
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作者：
Matsubara K;Yamamoto E;Kobayashi N;Ishii T;Tanaka J;Tsunematsu H;Yoshinaga S;Matsumura O;Yonemaru J;Mizobuchi R;Yamamoto T;Kato H;Yano M
水稻生物产量是一个重要的育种目标，但它不容易改善，因为性状是复杂的，表型是费力的。利用两个高产日本品种杂交的后代，我们评估了基于数量性状位点（QTL）的选择是否可以提高生物产量。作为生物量产量的量度，我们使用植物重量（仅地上部分），其包括谷粒重量和茎和叶重量。我们测量了这些和相关性状的重组自交系。这些性状的表型值呈连续分布，超亲分离，表明选择可以影响后代的植株重量。在α = 0.05的条件下，定位到4个与株重、3个与粒重、5个与茎叶重显著相关的QTL，其中部分QTL重叠。多元回归分析表明，其中6个QTL对株重表型变异的解释率达极显著水平（P < 0.0001）。从来自与重组自交系相同亲本杂交的F2植物中，我们分歧地选择在这些QTL上携带具有正或负加性效应的等位基因的品系，并进行连续自交。F6代株系和亲本的株重在基因型间差异显著（α = 0.05）。这些结果表明，基于QTL的选择是有效的，在提高水稻生物产量。
Biomass yield of rice (Oryza sativa L.) is an important breeding target, yet it is not easy to improve because the trait is complex and phenotyping is laborious. Using progeny derived from a cross between two high-yielding Japanese cultivars, we evaluated whether quantitative trait locus (QTL)-based selection can improve biomass yield. As a measure of biomass yield, we used plant weight (aboveground parts only), which included grain weight and stem and leaf weight. We measured these and related traits in recombinant inbred lines. Phenotypic values for these traits showed a continuous distribution with transgressive segregation, suggesting that selection can affect plant weight in the progeny. Four significant QTLs were mapped for plant weight, three for grain weight, and five for stem and leaf weight (at α = 0.05); some of them overlapped. Multiple regression analysis showed that about 43% of the phenotypic variance of plant weight was significantly explained (P < 0.0001) by six of the QTLs. From F2 plants derived from the same parental cross as the recombinant inbred lines, we divergently selected lines that carried alleles with positive or negative additive effects at these QTLs, and performed successive selfing. In the resulting F6 lines and parents, plant weight significantly differed among the genotypes (at α = 0.05). These results demonstrate that QTL-based selection is effective in improving rice biomass yield.