Evidence map›Paper›PMID 24803573›Full record

ArticleGenome biology and evolution2014

Multiple episodic evolution events in V1R receptor genes of East-African cichlids.

Masato Nikaido, Tomoki Ota, Tadashi Hirata, Hikoyu Suzuki, Yoko Satta, Mitsuto Aibara, Semvua I Mzighani, Christian Sturmbauer, Kimiko Hagino-Yamagishi, Norihiro Okada

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.2field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 26 citations in OpenAlex.

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  11. Sensory modalities in cichlid fish behavior.Current opinion in behavioral sciences · 2015
    Article
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

10 authors at 6 institutions in 4 countries.

Masato NikaidoDepartment of Biological Sciences, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Yokohama, Japan.
Tomoki OtaDepartment of Biological Sciences, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Yokohama, Japan.
Tadashi HirataDepartment of Biological Sciences, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Yokohama, Japan.
Hikoyu SuzukiDepartment of Biological Sciences, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Yokohama, Japan.
Yoko SattaDepartment of Biosystems Science, School of Advanced Sciences, The Graduate University for Advanced Studies (Sokendai), Hayama, Japan.
Mitsuto AibaraDepartment of Biological Sciences, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Yokohama, JapanFoundation for Advancement of International Science, Tsukuba, Japan.
Semvua I MzighaniDepartment of Biological Sciences, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Yokohama, JapanTanzania Fisheries Research Institute, Dar es Salaam, Tanzania.
Christian SturmbauerDepartment of Zoology, Karl-Franzens-University Graz, Austria.
Kimiko Hagino-YamagishiDepartment of Dementia and Higher Brain Function, Integrated Neuroscience Research Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Norihiro OkadaDepartment of Biological Sciences, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Yokohama, JapanFoundation for Advancement of International Science, Tsukuba, JapanDepartment of Life Sciences, National Cheng Kung University, Tainan, Taiwan nokada@fais.or.jp.
Tokyo Institute of Technology · JPFoundation for Advancement of International Science · JPNational Cheng Kung University · TWThe Graduate University for Advanced Studies, SOKENDAI · JPTokyo Metropolitan Institute of Medical Science · JPUniversity of Graz · AT

Funding

Austrian Science Fund FWF P 22737
6 · The paper itself

Abstract

Fish use olfaction to detect a variety of nonvolatile chemical signals, and thus, this sense is key to survival and communication. However, the contribution of the olfactory sense to social-especially reproductive-interactions in cichlids is still controversial. To obtain insights into this issue, we investigated the genes encoding V1Rs-possible candidates for reproductive pheromone receptors-among East-African cichlids. Interestingly, we found an excess of nonsynonymous over synonymous substitutions in four of six V1R genes in multiple cichlid lineages. First, we found that highly dimorphic V1R2 allele groups were shared among the cichlids inhabiting all East-African Great Lakes emerged through the episodic accumulation of the nonsynonymous substitutions prior to the radiation of the Lake Tanganyika species flock. We further detected such episodic events in V1R1 of the tribe Tropheini, and in V1R3 and V1R6 of the tribe Trematocarini. The excess of nonsynonymous substitutions in these examples were indicated as dN/dS > 1, which were all statistically significant by Fisher's exact test. Furthermore, we speculate that the amino acid changes in these episodic events are likely functional switch because they occurred in the putative ligand-binding pocket. Our finding of the occurrence of multiple episodic events and the unexpected gene diversity in one unique gene family is suggestive of the contribution of the V1R to the species diversification and the social interaction in cichlids.

Indexed as

Evolution, MolecularAfrica, EasternAllelesAmino Acid SequenceAmino Acid SubstitutionAnimalsBiological EvolutionCichlidsFish ProteinsGenetics, PopulationLakesMolecular Sequence DataPhylogenyReceptors, PheromoneFish ProteinsReceptors, Pheromoneaccelerated evolutionchemo-detectiondN/dS

Identifiers

PMID24803573
PMCPMC4040994
OpenAlexW2167430144

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.