Genome wide association study reveals plant loci controlling heritability of the rhizosphere microbiome.
Genome wide association study reveals plant loci controlling heritability of the rhizosphere microbiome.
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DOI：
10.1038/s41396-021-00993-z
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发表时间：
2021-11
期刊：
影响因子：
--
通讯作者：
Coleman-Derr D
中科院分区：
文献类型：
--
作者：
Deng S;Caddell DF;Xu G;Dahlen L;Washington L;Yang J;Coleman-Derr D
最近研究表明，宿主遗传学是植物微生物组组成的驱动因素。然而，确定控制微生物选择的潜在遗传位点仍然具有挑战性。全基因组关联研究（GWAS）代表了一种潜在的强大的，无偏见的方法来识别对宿主基因型敏感的微生物，并将它们与影响其定殖的遗传基因座联系起来。在这里，我们对200种高粱基因型的根际进行了群体水平的微生物组分析。使用16S rRNA扩增子测序，我们确定根际相关的细菌表现出与植物基因型的遗传关联，并确定这些谱系和遗传类群最近在玉米中发现的显着重叠。此外，我们证明，GWAS可以识别与根际微生物组的特定子集的丰度相关的宿主基因座。最后，我们证明，这些结果可以用来预测根际微生物组结构的一个独立的面板高粱基因型的基础上，完全基于知识的主机基因型信息。
Host genetics has recently been shown to be a driver of plant microbiome composition. However, identifying the underlying genetic loci controlling microbial selection remains challenging. Genome-wide association studies (GWAS) represent a potentially powerful, unbiased method to identify microbes sensitive to the host genotype and to connect them with the genetic loci that influence their colonization. Here, we conducted a population-level microbiome analysis of the rhizospheres of 200 sorghum genotypes. Using 16S rRNA amplicon sequencing, we identify rhizosphere-associated bacteria exhibiting heritable associations with plant genotype, and identify significant overlap between these lineages and heritable taxa recently identified in maize. Furthermore, we demonstrate that GWAS can identify host loci that correlate with the abundance of specific subsets of the rhizosphere microbiome. Finally, we demonstrate that these results can be used to predict rhizosphere microbiome structure for an independent panel of sorghum genotypes based solely on knowledge of host genotypic information.
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