A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

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

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

Brief Bioinform

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.

Published: November 2024

AI Article Synopsis

  • The study explores the genetic basis behind the ability of different bird lineages to learn vocalizations, highlighting the significance of noncoding regulatory regions, which are often overlooked.
  • A novel method identified 2,711 Convergently Lost Ancestral Conserved fragments (CLACs) that are notably present in noncoding regions and linked to neurological functions, specifically in brain areas important for speech formation.
  • Additionally, the research found 19 candidate genes with CLACs that appear in both human and bird lineages, indicating a potential shared genetic component in the evolution of vocal learning across species.

Article 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11586126PMC
http://dx.doi.org/10.1093/bib/bbae614DOI Listing

Publication Analysis

Top Keywords

vocal learning
16
convergently lost
8
lost ancestral
8
ancestral conserved
8
conserved fragments
8
evolution vocal
8
potential contribution
8
multiple avian
8
noncoding regions
8
learning
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!