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利用作图群体评估基因型×环境互作对水稻根系性状的重要性II:常规QTL分析

Assessing the importance of genotype x environment interaction for root traits in rice using a mapping population II: conventional QTL analysis.

作者信息

MacMillan K, Emrich K, Piepho H-P, Mullins C E, Price A H

机构信息

School of Biological Sciences, University of Aberdeen, Aberdeen, AB24 3UU, UK.

出版信息

Theor Appl Genet. 2006 Sep;113(5):953-64. doi: 10.1007/s00122-006-0357-4. Epub 2006 Jul 29.

Abstract

Modifying plant root systems is considered a means of crop improvement targeted to low-resource environments, particularly low nutrient and drought-prone agriculture. The identification of quantitative trait loci (QTLs) for root traits has stimulated marker-assisted breeding to this end, but different QTLs have been detected in different populations of the same species, and importantly, in the same population when grown in different experimental environments. The presence of QTL x environment interaction is implicated, and this must be characterised if the utility of the target QTLs is to be realised. Previous attempts to do this suffer from a lack of control over replicate environments and inadequate statistical rigour. The Bala x Azucena mapping population was grown in two replicate experiments of four treatment environments, a control, a low light, a low soil nitrogen and a low soil water treatment. After a 4 weeks growth, maximum root length, maximum root thickness, root mass below 50 cm, total plant dry mass, % root mass and shoot length were measured. A summary of the overall results is presented in an accompanying paper. Here, QTL analysis by composite interval mapping is presented. A total of 145 QTLs were detected, mapping to 37 discrete loci on all chromosomes. Superficial evidence of QTL x E (great difference in LOD score) was tested by single-marker analysis which confirmed QTL x E for five loci representing only five individual trait-loci interactions. Some loci appeared to be stable across environments. Some QTLs were clearly more or less active under low light, low nitrogen or drought. A few notable loci on chromosomes 1, 2, 3, 5, 7 and 9 are briefly discussed. Also discussed are some remaining statistical shortcomings that will be addressed in another companion paper.

摘要

改良植物根系被认为是一种针对低资源环境,特别是低养分和易干旱农业的作物改良手段。根系性状数量性状位点(QTL)的鉴定为此推动了标记辅助育种,但在同一物种的不同群体中检测到了不同的QTL,重要的是,在不同实验环境中生长的同一群体中也检测到了不同的QTL。存在QTL与环境的相互作用,若要实现目标QTL的效用,就必须对其进行表征。以往的此类尝试存在对重复环境缺乏控制以及统计严谨性不足的问题。巴拉(Bala)×阿苏塞纳(Azucena)作图群体在四个处理环境(一个对照、一个弱光、一个低土壤氮和一个低土壤水分处理)的两个重复实验中种植。生长4周后,测量了最大根长、最大根粗、50厘米以下根质量、全株干质量、根质量百分比和地上部长度。总体结果总结在随附的一篇论文中。在此,展示了通过复合区间作图进行的QTL分析。共检测到145个QTL,定位到所有染色体上的37个离散位点。通过单标记分析测试了QTL与环境相互作用的表面证据(LOD得分差异很大),该分析证实了五个位点存在QTL与环境的相互作用,仅代表五个个体性状 - 位点相互作用。一些位点在不同环境中似乎是稳定的。一些QTL在弱光、低氮或干旱条件下明显或多或少地活跃。简要讨论了染色体1、2、3、5、7和9上的一些显著位点。还讨论了一些剩余的统计缺陷,这些缺陷将在另一篇配套论文中解决。

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