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Noncoding regions underpin avian bill shape diversification at macroevolutionary scales

机译:非成型区域在宏观调整尺度下支付禽票据形状多样化

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摘要

Recent progress has been made in identifying genomic regions implicated in trait evolution on a microevolutionary scale in many species, but whether these are relevant over macroevolutionary time remains unclear. Here, we directly address this fundamental question using bird beak shape, a key evolutionary innovation linked to patterns of resource use, divergence, and speciation, as a model trait. We integrate class-wide geometric-morphometric analyses with evolutionary sequence analyses of 10,322 protein-coding genes as well as 229,001 genomic regions spanning 72 species. We identify 1434 protein-coding genes and 39,806 noncoding regions for which molecular rates were significantly related to rates of bill shape evolution. We show that homologs of the identified protein-coding genes as well as genes in close proximity to the identified noncoding regions are involved in craniofacial embryo development in mammals. They are associated with embryonic stem cell pathways, including BMP and Wnt signaling, both of which have repeatedly been implicated in the morphological development of avian beaks. This suggests that identifying genotype-phenotype association on a genome-wide scale over macroevolutionary time is feasible. Although the coding and noncoding gene sets are associated with similar pathways, the actual genes are highly distinct, with significantly reduced overlap between them and bill-related phenotype associations specific to noncoding loci. Evidence for signatures of recent diversifying selection on our identified noncoding loci in Darwin finch populations further suggests that regulatory rather than coding changes are major drivers of morphological diversification over macroevolutionary times.
机译:最新进展已确定在许多物种在进化特征牵连在微进化基因组规模的区中进行,但这些是否在宏观进化时间有关尚不清楚。在这里,我们直接用鸟嘴形,钥匙进化创新链接到资源利用,分歧和形态的模式,作为一种模式特点解决这一根本问题。我们整合类范围的几何形态分析与10322个蛋白质编码基因,以及229001个跨越72种的基因组区域的进化序列分析。我们确定1434个蛋白质编码基因和分子哪些率显著相关法案形状演化速率39806个非编码区。我们展示了识别的蛋白编码基因在接近该同源的基因,以及所识别的非编码区参与颅面胚胎发育中的哺乳动物。它们与胚胎干细胞的途径,包括BMP和Wnt信号,这两个曾多次被禽喙的形态发育牵连相关。这表明,识别超过宏观进化时间全基因组规模基因型 - 表型关联是可行的。虽然编码和非编码基因集与相似的途径有关,实际的基因是高度不同的,与它们和账单相关的表型的关联特定之间显著减少重叠,以非编码基因座。证据我们在达尔文雀种群鉴定非编码基因位点最近的多样化选择的签名进一步表明,监管,而不是编码的变化是在宏观进化时代形态多样化的主要驱动力。

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