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Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map

机译:利用高密度SNP图谱鉴定水稻磷利用效率性状的数量性状基因座

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Background Soil phosphorus (P) deficiency is one of the major limiting factors to crop production. The development of crop varieties with improved P use efficiency (PUE) is an important strategy for sustainable agriculture. The objectives of this research were to identify quantitative trait loci (QTLs) linked to PUE traits using a high-density single nucleotide polymorphism (SNP) map and to estimate the epistatic interactions and environmental effects in rice (Oryza sativa L.). Results We conducted a two-year field experiment under low and normal P conditions using a recombinant inbred population of rice derived from Zhenshan 97 and Minghui 63 (indica). We investigated three yield traits, biomass (BIOM), harvest index (HI), and grain yield (Yield), and eight PUE traits: total P uptake (PUP), P harvest index (PHI), grain P use efficiency (gPUE) based on P accumulation in grains, straw P use efficiency (strPUE) based on P accumulation in straw, P use efficiency for biomass (PUEb) and for grain yield (PUEg) based on P accumulation in the whole plant, P translocation (PT), and P translocation efficiency (PTE). Of the 36 QTLs and 24 epistatic interactions identified, 26 QTLs and 12 interactions were detected for PUE traits. The environment affected seven QTLs and three epistatic interactions. Four QTLs (qPHI1 and qPHI2 for PHI, qPUEg2 for PUEg, and qPTE8 for PTE) with strong effects were environmentally independent. By comparing our results with similar QTLs in previous studies, three QTLs for PUE traits (qPUP1 and qPUP10 for PUP, and qPHI6 for PHI) were found across various genetic backgrounds. Seven regions were shared by QTLs for yield and PUE traits. Conclusion Most QTLs linked to PUE traits were different from those linked to yield traits, suggesting different genetic controls underlying these two traits. Those chromosomal regions with large effects that are not affected by different environments are promising for improving P use efficiency. The seven regions shared by QTLs linked to yield and PUE traits imply the possibility of the simultaneous improvement of yield and PUE traits.
机译:背景技术土壤磷(P)缺乏是作物生产的主要限制因素之一。开发具有提高的磷利用效率(PUE)的作物品种是可持续农业的重要战略。这项研究的目的是使用高密度单核苷酸多态性(SNP)图谱鉴定与PUE性状相关的数量性状基因座(QTL),并估计水稻(Oryza sativa L.)的上位相互作用和环境影响。结果我们在低磷和正常磷条件下进行了为期两年的田间试验,使用了振山97和明慧63(印度)的重组近交自交稻。我们调查了三个产量性状,生物量(BIOM),收获指数(HI)和谷物产量(Yield)以及八个PUE性状:总磷吸收量(PUP),磷收获指数(PHI),谷物磷利用效率(gPUE)基于谷物中P积累的秸秆,基于秸秆中P积累的秸秆P利用率(strPUE),基于整个植物中P积累的生物量P(PUEb)和谷物产量(PUEg)的P利用率,P转运(PT)和P移位效率(PTE)。在确定的36个QTL和24个上位性相互作用中,检测到26个QTL和12个相互作用的PUE性状。环境影响了七个QTL和三个上位相互作用。具有强烈影响的四个QTL(PHI的qPHI1和qPHI2,PUEg的qPUEg2和PTE的qPTE8)与环境无关。通过将我们的结果与先前研究中的类似QTL进行比较,发现在各种遗传背景下,三个PUE性状的QTL(PUP的qPUP1和qPUP10以及PHI的qPHI6)被发现。 QTL在产量和PUE性状上共有七个区域。结论大多数与PUE性状相关的QTL与与产量性状相关的QTL不同,这表明这两个性状具有不同的遗传控制。那些不受不同环境影响的具有较大作用的染色体区域有望改善磷的利用效率。 QTL共享的与产量和PUE性状相关的七个区域暗示了同时提高产量和PUE性状的可能性。

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