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利用高光谱指标进行高通量表型分析有助于对热胁迫和干旱胁迫下种植的硬粒小麦的产量进行遗传剖析。

High-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress.

作者信息

Mérida-García Rosa, Gálvez Sergio, Solís Ignacio, Martínez-Moreno Fernando, Camino Carlos, Soriano Jose Miguel, Sansaloni Carolina, Ammar Karim, Bentley Alison R, Gonzalez-Dugo Victoria, Zarco-Tejada Pablo J, Hernandez Pilar

机构信息

Institute for Sustainable Agriculture (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, Spain.

Department of Languages and Computer Science, ETSI Informática, Universidad de Málaga, Andalucía Tech, Málaga, Spain.

出版信息

Front Plant Sci. 2024 Nov 22;15:1470520. doi: 10.3389/fpls.2024.1470520. eCollection 2024.

DOI:10.3389/fpls.2024.1470520
PMID:39649812
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11620856/
Abstract

High-throughput phenotyping (HTP) provides new opportunities for efficiently dissecting the genetic basis of drought-adaptive traits, which is essential in current wheat breeding programs. The combined use of HTP and genome-wide association (GWAS) approaches has been useful in the assessment of complex traits such as yield, under field stress conditions including heat and drought. The aim of this study was to identify molecular markers associated with yield (YLD) in elite durum wheat that could be explained using hyperspectral indices (HSIs) under drought field conditions in Mediterranean environments in Southern Spain. The HSIs were obtained from hyperspectral imagery collected during the pre-anthesis and anthesis crop stages using an airborne platform. A panel of 536 durum wheat lines were genotyped by sequencing (GBS, DArTseq) to determine population structure, revealing a lack of genetic structure in the breeding germplasm. The material was phenotyped for YLD and 19 HSIs for six growing seasons under drought field conditions at two locations in Andalusia, in southern Spain. GWAS analysis identified 740 significant marker-trait associations (MTAs) across all the durum wheat chromosomes, several of which were common for YLD and the HSIs, and can potentially be integrated into breeding programs. Candidate gene (CG) analysis uncovered genes related to important plant processes such as photosynthesis, regulatory biological processes, and plant abiotic stress tolerance. These results are novel in that they combine high-resolution hyperspectral imaging at the field scale with GWAS analysis in wheat. They also support the use of HSIs as useful tools for identifying chromosomal regions related to the heat and drought stress response in wheat, and pave the way for the integration of field HTP in wheat breeding programs.

摘要

高通量表型分析(HTP)为有效剖析干旱适应性状的遗传基础提供了新机会,这在当前小麦育种计划中至关重要。在包括高温和干旱在内的田间胁迫条件下,HTP与全基因组关联(GWAS)方法的联合使用已有助于评估产量等复杂性状。本研究的目的是在西班牙南部地中海环境的干旱田间条件下,鉴定与优质硬粒小麦产量(YLD)相关的分子标记,这些标记可用高光谱指数(HSIs)来解释。HSIs是使用机载平台在抽穗前和开花期作物阶段收集的高光谱图像中获得的。通过测序(GBS、DArTseq)对536个硬粒小麦品系进行基因分型,以确定群体结构,结果显示育种种质中缺乏遗传结构。在西班牙南部安达卢西亚的两个地点,对该材料在干旱田间条件下的六个生长季节的YLD和19个HSIs进行了表型分析。GWAS分析在所有硬粒小麦染色体上鉴定出740个显著的标记-性状关联(MTA),其中一些对于YLD和HSIs是共同的,并且有可能整合到育种计划中。候选基因(CG)分析揭示了与光合作用、调节生物过程和植物非生物胁迫耐受性等重要植物过程相关的基因。这些结果具有创新性,因为它们将田间尺度的高分辨率高光谱成像与小麦的GWAS分析相结合。它们还支持将HSIs用作识别与小麦热胁迫和干旱胁迫反应相关染色体区域的有用工具,并为将田间HTP整合到小麦育种计划中铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c988/11620856/8e7382bdce4c/fpls-15-1470520-g008.jpg
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