Temperature response of wheat affects final height and the timing of stem elongation under field conditions.

Temperature response of wheat affects final height and the timing of stem elongation under field conditions.
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DOI:
10.1093/jxb/eraa471
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发表时间:
2021-02-02
影响因子:
6.9
通讯作者:
Hund A
Hund A
中科院分区:
生物学1区
文献类型:
--
作者:
Kronenberg L;Yates S;Boer MP;Kirchgessner N;Walter A;Hund A

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田间条件下小麦茎伸长的温度反应表明,温度反应是高度遗传的,并与开花途径有关。在小麦中,温度影响茎伸长的时间和强度。因此,这一过程的遗传变异对适应很重要。本研究探讨了茎伸长过程中温度波动的遗传反应及其与物候和高度的关系。在ETH苏黎世的田间表型分析平台(FIP)中,使用激光雷达每周两次扫描315个小麦基因型(GABI小麦面板)的冠层高度。在每个测量间隔中,使用茎伸长和平均温度之间的线性回归来模拟温度响应。这导致了温度响应(斜率)和温度非响应(截距)组件。温度反应是高度遗传(H2=0.81),并呈正相关,后来开始和结束的茎伸长,以及最终高度。全基因组关联分析发现了3个温度响应和4个温度非响应的数量性状位点。此外,温度响应性QTL的候选基因通常与拟南芥的开花途径相关,而温度非响应性QTL对应于生长和降低高度的基因。与Rht和Ppd等位基因相结合,这些位点,连同茎伸长的时间位点,占71%的高度变异。这证明了高通量田间表型分析与环境协变量相结合如何有助于更明智地选择适应气候变化的作物。
Temperature response of stem elongation in wheat grown under field conditions indicated that temperature response is highly heritable and linked to the flowering pathway. In wheat, temperature affects the timing and intensity of stem elongation. Genetic variation for this process is therefore important for adaptation. This study investigates the genetic response to temperature fluctuations during stem elongation and its relationship to phenology and height. Canopy height of 315 wheat genotypes (GABI wheat panel) was scanned twice weekly in the field phenotyping platform (FIP) of ETH Zurich using a LIDAR. Temperature response was modelled using linear regressions between stem elongation and mean temperature in each measurement interval. This led to a temperature-responsive (slope) and a temperature-irresponsive (intercept) component. The temperature response was highly heritable (H2=0.81) and positively related to a later start and end of stem elongation as well as final height. Genome-wide association mapping revealed three temperature-responsive and four temperature-irresponsive quantitative trait loci (QTLs). Furthermore, putative candidate genes for temperature-responsive QTLs were frequently related to the flowering pathway in Arabidopsis thaliana, whereas temperature-irresponsive QTLs corresponded to growth and reduced height genes. In combination with Rht and Ppd alleles, these loci, together with the loci for the timing of stem elongation, accounted for 71% of the variability in height. This demonstrates how high-throughput field phenotyping combined with environmental covariates can contribute to a smarter selection of climate-resilient crops.
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