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丢弃的测序读数揭示了……中害虫抗性的自然变异。 (注:原文中“in”后面缺少具体内容)

Discarded sequencing reads uncover natural variation in pest resistance in .

作者信息

Galanti Dario, Jung Jun Hee, Müller Caroline, Bossdorf Oliver

机构信息

Plant Evolutionary Ecology, Institute of Evolution and Ecology, University of Tübingen, Tübingen, Germany.

Royal Botanic Gardens, Kew, Richmond upon Thames, United Kingdom.

出版信息

Elife. 2024 Dec 19;13:RP95510. doi: 10.7554/eLife.95510.

Abstract

Understanding the genomic basis of natural variation in plant pest resistance is an important goal in plant science, but it usually requires large and labor-intensive phenotyping experiments. Here, we explored the possibility that non-target reads from plant DNA sequencing can serve as phenotyping proxies for addressing such questions. We used data from a whole-genome and -epigenome sequencing study of 207 natural lines of field pennycress () that were grown in a common environment and spontaneously colonized by aphids, mildew, and other microbes. We found that the numbers of non-target reads assigned to the pest species differed between populations, had significant SNP-based heritability, and were associated with climate of origin and baseline glucosinolate contents. Specifically, pennycress lines from cold and thermally fluctuating habitats, presumably less favorable to aphids, showed higher aphid DNA load, i.e., decreased aphid resistance. Genome-wide association analyses identified genetic variants at known defense genes but also novel genomic regions associated with variation in aphid and mildew DNA load. Moreover, we found several differentially methylated regions associated with pathogen loads, in particular differential methylation at transposons and hypomethylation in the promoter of a gene involved in stomatal closure, likely induced by pathogens. Our study provides first insights into the defense mechanisms of , a rising crop and model species, and demonstrates that non-target whole-genome sequencing reads, usually discarded, can be leveraged to estimate intensities of plant biotic interactions. With rapidly increasing numbers of large sequencing datasets worldwide, this approach should have broad application in fundamental and applied research.

摘要

了解植物抗虫性自然变异的基因组基础是植物科学的一个重要目标,但这通常需要大规模且耗费人力的表型分析实验。在此,我们探讨了植物DNA测序中的非靶向 reads 能否作为表型分析的替代指标来解决此类问题的可能性。我们使用了来自207个田野碎米荠自然株系的全基因组和表观基因组测序研究的数据,这些株系在共同环境中生长,并自发地被蚜虫、霉菌和其他微生物定殖。我们发现,分配给害虫物种的非靶向 reads 数量在不同种群间存在差异,具有基于单核苷酸多态性(SNP)的显著遗传力,并且与起源地气候和芥子油苷基线含量相关。具体而言,来自寒冷和温度波动较大栖息地的田野碎米荠株系,推测对蚜虫不太适宜,显示出较高的蚜虫DNA负载,即抗蚜虫能力下降。全基因组关联分析确定了已知防御基因处的遗传变异,但也发现了与蚜虫和霉菌DNA负载变异相关的新基因组区域。此外,我们发现了几个与病原体负载相关的差异甲基化区域,特别是转座子处的差异甲基化以及一个参与气孔关闭的基因启动子处的低甲基化,可能是由病原体诱导的。我们的研究首次深入了解了正在兴起的作物和模式物种——田野碎米荠的防御机制,并证明通常被丢弃的非靶向全基因组测序 reads 可用于估计植物生物相互作用的强度。随着全球大型测序数据集数量的迅速增加,这种方法应在基础研究和应用研究中具有广泛的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16fc/11658765/4fc299c50476/elife-95510-fig1.jpg

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