Evidence map›Paper›PMID 25096539›Full record

ArticleG3 (Bethesda, Md.)2014

Sensory rewiring in an echolocator: genome-wide modification of retinogenic and auditory genes in the bat Myotis davidii.

Nicholas J Hudson, Michelle L Baker, Nathan S Hart, James W Wynne, Quan Gu, Zhiyong Huang, Guojie Zhang, Aaron B Ingham, Linfa Wang, Antonio Reverter

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

10 authors at 5 institutions in 4 countries.

Nicholas J HudsonComputational and Systems Biology, CSIRO Agriculture Flagship, Queensland Bioscience Precinct, Brisbane, Queensland, Australia nick.hudson@csiro.au.
Michelle L BakerAustralian Animal Health Laboratory, CSIRO Biosecurity Flagship, Geelong, Victoria, Australia.
Nathan S HartSchool of Animal Biology and the Oceans Institute, University of Western Australia, Crawley, WA 6009, Western Australia, Australia.
James W WynneAustralian Animal Health Laboratory, CSIRO Biosecurity Flagship, Geelong, Victoria, Australia.
Quan GuCollege of Information Sciences and Technology, Donghua University, Shanghai 201620, China Faculty of Medicine, Imperial College London, South Kensington, London SW7 2AZ, England.
Zhiyong HuangBGI-Shenzhen, Shenzhen, 518083, China.
Guojie ZhangBGI-Shenzhen, Shenzhen, 518083, China.
Aaron B InghamComputational and Systems Biology, CSIRO Agriculture Flagship, Queensland Bioscience Precinct, Brisbane, Queensland, Australia.
Linfa WangAustralian Animal Health Laboratory, CSIRO Biosecurity Flagship, Geelong, Victoria, Australia Program in Emerging Infectious Diseases, Duke-NUS Graduate Medical School, Singapore.
Antonio ReverterComputational and Systems Biology, CSIRO Agriculture Flagship, Queensland Bioscience Precinct, Brisbane, Queensland, Australia.
Commonwealth Scientific and Industrial Research Organisation · AUAustralian Centre for Disease Preparedness · AUBGI Group (China) · CNDonghua University · CNUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bats comprise 20% of all mammalian species and display a number of characteristics, including true flight, echolocation, and a heightened ability to resist viral load that uniquely position this group for comparative genomic studies. Here we searched for evidence of genomic variation consistent with sensory rewiring through bat evolution. We focused on two species with divergent sensory preferences. Myotis davidii is a bat species that echolocates and possesses dim- but not daylight-adapted vision whereas the black flying fox (Pteropus alecto) has highly developed day vision but does not echolocate. Using the naked mole rat as a reference, we found five functional genes (CYP1A2, RBP3, GUCY2F, CRYBB1, and GRK7) encoding visual proteins that have degenerated into pseudogenes in M. davidii but not P. alecto. In a second approach genome-wide codon usage bias (CUB) was compared between the two bat species. This CUB ranking systematically enriched for vision-related (CLN8, RD3, IKZF1, LAMC3, CRX, SOX8, VAX2, HPS1, RHO, PRPH2, and SOX9) and hearing-related (TPRN, TMIE, SLC52A3, OTOF, WFS1, SOD1, TBX18, MAP1A, OTOS, GPX1, and USH1G) machinery in M. davidii but not P. alecto. All vision and hearing genes selectively enriched in M. davidii for which orthologs could be identified also were more biased in the echolocating M. lucifugus than the nonecholocating P. vampyrus. We suggest that the existence of codon bias in vision- and hearing-related genes in a species that has evolved echolocation implies CUB is part of evolution's toolkit to rewire sensory systems. We propose that the two genetic changes (pseudogene formation and CUB) collectively paint a picture of that incorporates a combination of destruction and gain-of-function. Together, they help explain how natural selection has reduced physiological costs associated with the development of a smaller eye poorly adapted to day vision but that also contribute to enhanced dim light vision and the hearing adaptations consonant with echolocation.

Indexed as

EcholocationGenomeAnimalsBase SequenceChiropteraCodonCodon, TerminatorComparative Genomic HybridizationEvolution, MolecularFrameshift MutationGenetic VariationPoint MutationPseudogenesRetinaSensorimotor CortexSequence AlignmentCodonCodon, Terminatorbatcodon usage biasevolutionpseudogenevision

Identifiers

PMID25096539
PMCPMC4199690
OpenAlexW2171835981

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.