The Genetic Architecture of Barley Plant Stature.
The Genetic Architecture of Barley Plant Stature.
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大麦植物身材的遗传结构。
DOI：
10.3389/fgene.2016.00117
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发表时间：
2016
影响因子：
3.7
通讯作者：
Schnurbusch T
中科院分区：
文献类型：
--
作者：
Alqudah AM;Koppolu R;Wolde GM;Graner A;Schnurbusch T
温带禾本科作物的株高主要受分蘖和株高这两个复杂的农艺性状控制，是决定产量的重要因素。本研究旨在揭示世界各地218个春大麦（Hordeum vulgare L.）在温室条件下进行。根据行型类别[两行与六行]和光周期反应[光周期敏感（Ppd-H1）与降低光周期敏感性（Ppd-H1）]对加入进行结构化。这两个因素的表型分析揭示了深刻的分蘖发展组之间的影响。为了进一步验证行型对所研究性状的影响，对六棱穗1（vrs 1）突变体及其两棱祖先进行了单株分蘖数和株高的检测。在这里，野生型（Vrs 1）植物显着更高，有更多的分蘖比突变体表明这两个性状的行型基因座的负多效性效应。我们的全基因组关联扫描进一步揭示了高度显著的关联，从而建立了行型，抽穗时间，分蘖和株高的遗传控制之间的联系。我们进一步表明，分蘖和株高的协会是共同定位与染色体片段窝藏已知植物生长相关的植物激素和糖相关基因。这项工作证明了GWAS方法用于鉴定用于改善植物结构的假定候选基因的可行性。
Plant stature in temperate cereals is predominantly controlled by tillering and plant height as complex agronomic traits, representing important determinants of grain yield. This study was designed to reveal the genetic basis of tillering at five developmental stages and plant height at harvest in 218 worldwide spring barley (Hordeum vulgare L.) accessions under greenhouse conditions. The accessions were structured based on row-type classes [two- vs. six-rowed] and photoperiod response [photoperiod-sensitive (Ppd-H1) vs. reduced photoperiod sensitivity (ppd-H1)]. Phenotypic analyses of both factors revealed profound between group effects on tiller development. To further verify the row-type effect on the studied traits, Six-rowed spike 1 (vrs1) mutants and their two-rowed progenitors were examined for tiller number per plant and plant height. Here, wild-type (Vrs1) plants were significantly taller and had more tillers than mutants suggesting a negative pleiotropic effect of this row-type locus on both traits. Our genome-wide association scans further revealed highly significant associations, thereby establishing a link between the genetic control of row-type, heading time, tillering, and plant height. We further show that associations for tillering and plant height are co-localized with chromosomal segments harboring known plant stature-related phytohormone and sugar-related genes. This work demonstrates the feasibility of the GWAS approach for identifying putative candidate genes for improving plant architecture.