Evidence map›Paper›PMID 31555059›Full record

ReviewCurrent genomics2019

Genomic Insights into the Adaptive Convergent Evolution.

Yan Hao, Yanhua Qu, Gang Song, Fumin Lei

Abstract readReview
In one paragraph

Review in Current genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The genetic foundations of convergent traits.Nature reviews. Genetics · 2026
    Review
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  12. Annotation of thePlants (Basel, Switzerland) · 2023
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  13. ThePlants (Basel, Switzerland) · 2022
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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

4 authors.

Yan Hao1Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, P.R. China; 2University of Chinese Academy of Sciences, Beijing, 100049, P.R. China; 3Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, P.R. China.
Yanhua Qu1Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, P.R. China; 2University of Chinese Academy of Sciences, Beijing, 100049, P.R. China; 3Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, P.R. China.
Gang Song1Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, P.R. China; 2University of Chinese Academy of Sciences, Beijing, 100049, P.R. China; 3Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, P.R. China.
Fumin Lei1Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, P.R. China; 2University of Chinese Academy of Sciences, Beijing, 100049, P.R. China; 3Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptive convergent evolution, which refers to the same or similar phenotypes produced by species from independent lineages under similar selective pressures, has been widely examined for a long time. Accumulating studies on the adaptive convergent evolution have been reported from many different perspectives (cellular, anatomical, morphological, physiological, biochemical, and behavioral). Recent advances in the genomic technologies have demonstrated that adaptive convergence can arise from specific genetic mechanisms in different hierarchies, ranging from the same nucleotide or amino acid substitutions to the biological functions or pathways. Among these genetic mechanisms, the same amino acid changes in protein-coding genes play an important role in adaptive phenotypic convergence. Methods for detecting adaptive convergence at the protein sequence level have been constantly debated and developed. Here, we review recent progress on using genomic approaches to evaluate the genetic mechanisms of adaptive convergent evolution, summarize the research methods for identifying adaptive amino acid convergence, and discuss the future perspectives for researching adaptive convergent evolu-tion.

Indexed as

Adaptive evolutionAmino acid convergenceConvergent evolutionGenetic mechanismGenomicsPhenotype

Identifiers

PMID31555059
PMCPMC6728901

What OpenQuestion holds

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Registered trials

None linked

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 OpenQuestion graph.