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油菜根系结构对水分胁迫的响应在一个包含 448 份全球油菜品种资源中的变化。

Root system architecture change in response to waterlogging stress in a 448 global collection of rapeseeds (Brassica napus L.).

机构信息

The Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of the PRC, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.

出版信息

Planta. 2024 Mar 21;259(5):95. doi: 10.1007/s00425-024-04369-3.

Abstract

A novel image-based screening method for precisely identifying genotypic variations in rapeseed RSA under waterlogging stress was developed. Five key root traits were confirmed as good indicators of waterlogging and might be employed in breeding, particularly when using the MFVW approach. Waterlogging is a vital environmental factor that has detrimental effects on the growth and development of rapeseed (Brassica napus L.). Plant roots suffer from hypoxia under waterlogging, which ultimately confers yield penalty. Therefore, it is crucially important to understand the genetic variation of root system architecture (RSA) in response to waterlogging stress to guide the selection of new tolerant cultivars with favorable roots. This research was conducted to investigate RSA traits using image-based screening techniques to better understand how RSA changes over time during waterlogging at the seedling stage. First, we performed a t-test by comparing the relative root trait value between four tolerant and four sensitive accessions. The most important root characteristics associated with waterlogging tolerance at 12 h are total root length (TRL), total root surface area (TRSA), total root volume (TRV), total number of tips (TNT), and total number of forks (TNF). The root structures of 448 rapeseed accessions with or without waterlogging showed notable genetic diversity, and all traits were generally restrained under waterlogging conditions, except for the total root average diameter. Additionally, according to the evaluation and integration analysis of 448 accessions, we identified that five traits, TRL, TRSA, TRV, TNT, and TNF, were the most reliable traits for screening waterlogging-tolerant accessions. Using analysis of the membership function value (MFVW) and D-value of the five selected traits, 25 extremely waterlogging-tolerant materials were screened out. Waterlogging significantly reduced RSA, inhibiting root growth compared to the control. Additionally, waterlogging increased lipid peroxidation, accompanied by a decrease in the activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT). This study effectively improves our understanding of the response of RSA to waterlogging. The image-based screening method developed in this study provides a new scientific guidance for quickly examining the basic RSA changes and precisely predicting waterlogging-tolerant rapeseed germplasms, thus expanding the genetic diversity of waterlogging-tolerant rapeseed germplasm available for breeding.

摘要

开发了一种新的基于图像的筛选方法,可精确识别油菜 RSA 在淹水胁迫下的基因型变异。确定了五个关键的根性状作为淹水的良好指标,并且可能用于育种,特别是在使用 MFVW 方法时。

淹水是一种重要的环境因素,会对油菜(Brassica napus L.)的生长和发育产生不利影响。植物根系在淹水条件下会缺氧,最终导致产量下降。因此,了解油菜根系构型(RSA)对淹水胁迫的遗传变异对于指导新的耐涝品种的选择非常重要。

本研究旨在使用基于图像的筛选技术研究 RSA 性状,以更好地了解幼苗期淹水过程中 RSA 随时间的变化。首先,我们通过比较 4 个耐淹水和 4 个敏感品系之间相对根性状值进行 t 检验。与 12 小时耐淹水相关的最重要的根特征是总根长(TRL)、总根表面积(TRSA)、总根体积(TRV)、总根尖数(TNT)和总叉数(TNF)。

有或没有淹水的 448 个油菜品系的根结构表现出显著的遗传多样性,所有性状在淹水条件下通常受到抑制,除了总根平均直径。此外,根据对 448 个品系的评价和综合分析,我们确定 TRL、TRSA、TRV、TNT 和 TNF 这五个性状是筛选耐淹水品系最可靠的性状。

使用 membership function value(MFVW)和五个选定性状的 D 值的分析,筛选出 25 个极耐淹水的材料。淹水显著降低了 RSA,与对照相比,抑制了根的生长。此外,淹水增加了脂质过氧化,同时超氧化物歧化酶(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)的活性降低。

本研究有效地提高了我们对 RSA 对淹水响应的认识。本研究中开发的基于图像的筛选方法为快速检查基本 RSA 变化和精确预测耐淹水油菜种质提供了新的科学指导,从而扩大了耐淹水油菜种质的遗传多样性,可用于育种。

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