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

IF 6.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Xiaoyi Li, Kangli Zhu, Ying Zhen
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引用次数: 0

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.

一种用于识别与发声学习趋同进化相关的祖先保守片段的多功能管道。
趋同进化种系的分子趋同为了解趋同表型的共同遗传基础提供了宝贵的见解。然而,大多数方法仅限于编码区,忽略了调控区的潜在贡献。我们重点研究了多个鸟类品系中独立进化的发声学习能力,并开发了一种无全基因组比对的方法来鉴定这些品系中的全基因组会聚丢失的祖先保守片段(CLACs),其中包括非编码区。我们发现了 2711 个在非编码区比例过高的 CLACs。这些CLACs的近端基因在神经通路中表现出显著的富集,包括谷氨酸受体信号通路和轴突导向通路。此外,它们在与语言形成相关的脑组织中的表达也高度富集。值得注意的是,其中一些基因在语音和语言学习中具有已知的功能,包括 ROBO 家族、SLIT2、GRIN1 和 GRIN2B。此外,我们还在非编码 CLAC 中发现了与参与脑部神经发生和基因表达调控的转录因子结合基序相匹配的显著富集基序。此外,我们还在人类和多种鸟类发声学习谱系中发现了 19 个携带 CLACs 的候选基因,这表明它们可能对鸟类和人类发声学习的独立进化做出了贡献。
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来源期刊
Briefings in bioinformatics
Briefings in bioinformatics 生物-生化研究方法
CiteScore
13.20
自引率
13.70%
发文量
549
审稿时长
6 months
期刊介绍: Briefings in Bioinformatics is an international journal serving as a platform for researchers and educators in the life sciences. It also appeals to mathematicians, statisticians, and computer scientists applying their expertise to biological challenges. The journal focuses on reviews tailored for users of databases and analytical tools in contemporary genetics, molecular and systems biology. It stands out by offering practical assistance and guidance to non-specialists in computerized methodologies. Covering a wide range from introductory concepts to specific protocols and analyses, the papers address bacterial, plant, fungal, animal, and human data. The journal's detailed subject areas include genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signaling pathways, structure determination and function prediction, phylogenetic studies, and education and training.
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