Toward population genomics of effector-effector target interactions
Toward population genomics of effector-effector target interactions
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效应子-效应子靶点相互作用的群体基因组学
DOI：
10.1111/j.1469-8137.2010.03408.x
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发表时间：
2010
期刊：
影响因子：
9.4
通讯作者：
K.
中科院分区：
文献类型：
--
作者：
Terauchi;R.;Yoshida;K.
病原体-植物宿主的共同进化相互作用对两种生物体，特别是对编码效应子（病原体）的基因，以及对编码效应子靶标和R蛋白（植物宿主）的基因，都产生了强烈的自然选择。自然选择在这些基因和相关的基因组区域上留下了DNA序列特征。通过研究DNA序列的种内多态性和种间差异的模式，可以很容易地检测到这些特征。DNA测序技术的最新发展使全基因组研究DNA多态性模式成为可能。 这种类型的分析，称为“群体基因组学”，似乎是强大的，足以确定新的效应器效应器靶基因。在这里，我们提供了用于人口基因组学的统计工具及其应用的概述。其次，简要回顾了植物寄主-病原体相互作用基因的进化研究。最后，我们提供了一个例子，从我们的研究Magnaporthe。
Pathogen–plant host coevolutionary interactions exert strong natural selection on both organisms, specifically on the genes coding for effectors (pathogens), as well as on those coding for effector targets and R proteins (plant hosts). Natural selection leaves behind DNA sequence signatures on such genes and on linked genomic regions. These signatures can readily be detected by studying the patterns of intraspecies polymorphisms and interspecies divergence of the DNA sequences. Recent developments in DNA sequencing technology have made whole‐genome studies on patterns of DNA polymorphisms : divergence possible. This type of analysis, called ‘population genomics’, appears to be powerful enough to identify novel effector–effector target genes. Here, we provide an overview of the statistical tools used for population genomics and their applications. This is followed by a brief review of evolutionary studies on plant genes involved in host–pathogen interactions. Finally we provide an example from our study onMagnaporthe oryzae.