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抗病基因数量随……地区降雨量增加。 (原句不完整,翻译可能不太准确)

Disease resistance gene count increases with rainfall in .

作者信息

Keepers Kyle, Peterson Kelsey, Raduski Andrew, Turner Kathryn M, Van Tassel David, Smith Kevin, Harkess Alex, Bever James D, Brandvain Yaniv

机构信息

Department of Plant and Microbial Biology University of Minnesota St Paul Minnesota USA.

Crop Protection Ecology The Land Institute Salina Kansas USA.

出版信息

Ecol Evol. 2024 Sep 3;14(9):e11143. doi: 10.1002/ece3.11143. eCollection 2024 Sep.

Abstract

Intracellular plant defense against pathogens is mediated by a class of disease resistance genes known as NB-LRRs or NLRs (R genes). Many of the diseases these genes protect against are more prevalent in regions of higher rainfall, which provide better growth conditions for the pathogens. As such, we expect a higher selective pressure for the maintenance and proliferation of R genes in plants adapted to wetter conditions. In this study, we enriched libraries for R genes using RenSeq from baits primarily developed from the common sunflower () reference genome. We sequenced the R gene libraries of Michx, a perennial relative of sunflower, from 12 prairie remnants across a rainfall gradient in the Central Plains of the United States, with both Illumina short-read ( = 99) and PacBio long-read ( = 10) approaches. We found a positive relationship between the mean effective annual precipitation of a plant's source prairie remnant and the number of R genes in its genome, consistent with intensity of plant pathogen coevolution increasing with precipitation. We show that RenSeq can be applied to the study of ecological hypotheses in non-model relatives of model organisms.

摘要

植物细胞内针对病原体的防御由一类称为NB-LRRs或NLRs(抗病基因)的抗病基因介导。这些基因所抵御的许多病害在降雨较多的地区更为普遍,因为这些地区为病原体提供了更好的生长条件。因此,我们预计在适应更湿润环境的植物中,抗病基因的维持和增殖会面临更高的选择压力。在本研究中,我们使用RenSeq技术,从主要基于普通向日葵()参考基因组开发的诱饵中富集抗病基因文库。我们采用Illumina短读长(=99)和PacBio长读长(=10)两种方法,对来自美国中部平原沿降雨梯度分布的12个草原遗迹中的向日葵多年生近缘种小花向日葵(Michx)的抗病基因文库进行了测序。我们发现植物源草原遗迹的年平均有效降水量与其基因组中抗病基因的数量呈正相关,这与植物病原体协同进化强度随降水量增加的情况一致。我们表明,RenSeq可应用于模式生物非模式近缘种的生态假说研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a17/11371658/3c1a9f58a4dd/ECE3-14-e11143-g006.jpg

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