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首页> 外文OA文献 >Environmental Response and Genomic Regions Correlated with Rice Root Growth and Yield under Drought in the OryzaSNP Panel across Multiple Study Systems
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Environmental Response and Genomic Regions Correlated with Rice Root Growth and Yield under Drought in the OryzaSNP Panel across Multiple Study Systems

机译：跨多个研究系统的OryzaSNP小组研究的干旱条件下与水稻根系生长和产量相关的环境响应和基因组区域

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The rapid progress in rice genotyping must be matched by advances in phenotyping. A better understanding of genetic variation in rice for drought response, root traits, and practical methods for studying them are needed. In this study, the OryzaSNP set (20 diverse genotypes that have been genotyped for SNP markers) was phenotyped in a range of field and container studies to study the diversity of rice root growth and response to drought. Of the root traits measured across more than 20 root experiments, root dry weight showed the most stable genotypic performance across studies. The environment (E) component had the strongest effect on yield and root traits. We identified genomic regions correlated with root dry weight, percent deep roots, maximum root depth, and grain yield based on a correlation analysis with the phenotypes and aus, indica, or japonica introgression regions using the SNP data. Two genomic regions were identified as hot spots in which root traits and grain yield were co-located; on chromosome 1 (39.7–40.7 Mb) and on chromosome 8 (20.3–21.9 Mb). Across experiments, the soil type/ growth medium showed more correlations with plant growth than the container dimensions. Although the correlations among studies and genetic co-location of root traits from a range of study systems points to their potential utility to represent responses in field studies, the best correlations were observed when the two setups had some similar properties. Due to the co-location of the identified genomic regions (from introgression block analysis) with QTL for a number of previously reported root and drought traits, these regions are good candidates for detailed characterization to contribute to understanding rice improvement for response to drought. This study also highlights the utility of characterizing a small set of 20 genotypes for root growth, drought response, and related genomic regions.
机译：水稻基因分型的快速发展必须与表型的发展相匹配。需要更好地了解水稻遗传变异对干旱的响应，根系性状以及研究水稻的实用方法。在这项研究中，在一系列田间和容器研究中对OryzaSNP集（已经对SNP标记进行了基因分型的20种不同基因型）进行了表型分析，以研究水稻根系生长的多样性和对干旱的响应。在20多个根系实验中测得的根系性状中，根系干重在研究中显示出最稳定的基因型表现。环境组分对产量和根系性状的影响最大。我们根据与SNP数据相关的表型和澳元，in稻或粳稻渗入区域的相关性分析，确定了与根干重，深根百分比，最大根深和谷物产量相关的基因组区域。两个基因组区域被确定为热点，其中根部性状和籽粒产量共存。 1号染色体（39.7–40.7 Mb）和8号染色体（20.3–21.9 Mb）。在整个实验中，土壤类型/生长介质与植物生长的相关性比容器尺寸更大。虽然研究之间的相关性以及来自一系列研究系统的根性状的遗传共定位表明它们可能代表田间研究的响应，但是当两种设置具有相似的特性时，观察到的最佳相关性。由于已鉴定的基因组区域（来自基因渗入分析）与QTL在许多先前报道的根系和干旱特征上处于同一位置，因此这些区域是详细表征的良好候选者，有助于理解水稻对干旱的反应。这项研究还强调了表征20种基因型的小集对根生长，干旱反应和相关基因组区域的实用性。

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