Evidence map›Paper›PMID 39581870›Full record

ArticleBriefings in bioinformatics2024

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

Xiaoyi Li, Kangli Zhu, Ying Zhen

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xiaoyi LiSchool of Life Sciences, Fudan University, 220 Handan Road, Yangpu District, Shanghai 200433, China.
Kangli ZhuWestlake Laboratory of Life Sciences and Biomedicine, 600 Dunyu Road, Xihu District, Hangzhou, Zhejiang 310030, China.
Ying ZhenKey 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.ORCID 0000-0001-8382-2533

Funding

National Natural Science Foundation of China 32370662Research Center for Industries of the Future (RCIF) at Westlake UniversityZhejiang Provincial Natural Science Foundation of China LQ20C040001
6 · The paper itself

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.

Indexed as

LearningVocalization, AnimalAnimalsBiological EvolutionBirdsBrainConserved SequenceEvolution, MolecularHumansIntercellular Signaling Peptides and ProteinsNerve Tissue ProteinsRoundabout ProteinsSlit Homolog 2 ProteinIntercellular Signaling Peptides and ProteinsNerve Tissue ProteinsRoundabout ProteinsSlit Homolog 2 Proteinaxon guidance pathwayconserved fragmentsglutamate receptor pathwaymolecular convergencevocal learning

Identifiers

PMID39581870
PMCPMC11586126

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.