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一种多功能的管道,用于识别与发声学习趋同进化相关的趋同丧失的祖先保守片段。

A versatile pipeline to identify convergently lost ancestral conserved fragments associated with convergent evolution of vocal learning.

机构信息

School of Life Sciences, Fudan University, 220 Handan Road, Yangpu District, Shanghai 200433, China.

Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences and Research Center for Industries of the Future, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang 310030, China.

出版信息

Brief Bioinform. 2024 Nov 22;26(1). doi: 10.1093/bib/bbae614.

Abstract

Molecular convergence in convergently evolved lineages provides valuable insights into the shared genetic basis of converged phenotypes. However, most methods are limited to coding regions, overlooking the potential contribution of regulatory regions. We focused on the independently evolved vocal learning ability in multiple avian lineages, and developed a whole-genome-alignment-free approach to identify genome-wide Convergently Lost Ancestral Conserved fragments (CLACs) in these lineages, encompassing noncoding regions. We discovered 2711 CLACs that are overrepresented in noncoding regions. Proximal genes of these CLACs exhibit significant enrichment in neurological pathways, including glutamate receptor signaling pathway and axon guidance pathway. Moreover, their expression is highly enriched in brain tissues associated with speech formation. Notably, several have known functions in speech and language learning, including ROBO family, SLIT2, GRIN1, and GRIN2B. Additionally, we found significantly enriched motifs in noncoding CLACs, which match binding motifs of transcriptional factors involved in neurogenesis and gene expression regulation in brain. Furthermore, we discovered 19 candidate genes that harbor CLACs in both human and multiple avian vocal learning lineages, suggesting their potential contribution to the independent evolution of vocal learning in both birds and humans.

摘要

分子趋同进化在趋同进化的谱系中提供了有价值的见解,揭示了趋同表型的共同遗传基础。然而,大多数方法仅限于编码区域,忽略了调控区域的潜在贡献。我们专注于多个鸟类谱系中独立进化的发声学习能力,并开发了一种无需全基因组比对的方法,以识别这些谱系中非编码区的全基因组趋同丢失的祖先保守片段(CLAC)。我们发现了 2711 个在非编码区过度表达的 CLAC。这些 CLAC 近端基因在神经通路中表现出显著富集,包括谷氨酸受体信号通路和轴突导向通路。此外,它们在与言语形成相关的脑组织中的表达高度富集。值得注意的是,其中一些基因在言语和语言学习中具有已知的功能,包括 ROBO 家族、SLIT2、GRIN1 和 GRIN2B。此外,我们在非编码 CLAC 中发现了显著富集的基序,这些基序与脑内神经发生和基因表达调控相关的转录因子的结合基序相匹配。此外,我们在人类和多个具有发声学习能力的鸟类谱系中发现了 19 个含有 CLAC 的候选基因,这表明它们可能有助于鸟类和人类发声学习的独立进化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d0b/11586126/f4d19af38698/bbae614f1.jpg

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