Evidence map›Paper›PMID 24454705›Full record

ArticlePloS one2014

Dietary and flight energetic adaptations in a salivary gland transcriptome of an insectivorous bat.

Carleton J Phillips, Caleb D Phillips, Jeremy Goecks, Enrique P Lessa, Cibele G Sotero-Caio, Bernard Tandler, Michael R Gannon, Robert J Baker

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. A metaanalysis of bat phylogenetics and positive selection based on genomes and transcriptomes from 18 species.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Pooled it
  2. Review
  3. An inhibitor of leukotriene-AProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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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

8 authors at 3 institutions in 2 countries.

Carleton J PhillipsDepartment of Biological Sciences, Texas Tech University, Lubbock, Texas, United States of America.
Caleb D PhillipsDepartment of Biological Sciences, Texas Tech University, Lubbock, Texas, United States of America.
Jeremy GoecksDepartment of Biology, Emory University, Atlanta, Georgia, United States of America ; Department of Math and Computer Science, Emory University, Atlanta, Georgia, United States of America.
Enrique P LessaDepartamento de Ecología y Evolución, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
Cibele G Sotero-CaioDepartment of Biological Sciences, Texas Tech University, Lubbock, Texas, United States of America.
Bernard TandlerDepartment of Biological Sciences, School of Dental Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.
Michael R GannonDepartment of Biology, Pennsylvania State University, Altoona College, Altoona, Pennsylvania, United States of America.
Robert J BakerDepartment of Biological Sciences, Texas Tech University, Lubbock, Texas, United States of America.
Texas Tech University · USPennsylvania State University · USUniversidad de la República de Uruguay · UY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We hypothesized that evolution of salivary gland secretory proteome has been important in adaptation to insectivory, the most common dietary strategy among Chiroptera. A submandibular salivary gland (SMG) transcriptome was sequenced for the little brown bat, Myotis lucifugus. The likely secretory proteome of 23 genes included seven (RETNLB, PSAP, CLU, APOE, LCN2, C3, CEL) related to M. lucifugus insectivorous diet and metabolism. Six of the secretory proteins probably are endocrine, whereas one (CEL) most likely is exocrine. The encoded proteins are associated with lipid hydrolysis, regulation of lipid metabolism, lipid transport, and insulin resistance. They are capable of processing exogenous lipids for flight metabolism while foraging. Salivary carboxyl ester lipase (CEL) is thought to hydrolyze insect lipophorins, which probably are absorbed across the gastric mucosa during feeding. The other six proteins are predicted either to maintain these lipids at high blood concentrations or to facilitate transport and uptake by flight muscles. Expression of these seven genes and coordinated secretion from a single organ is novel to this insectivorous bat, and apparently has evolved through instances of gene duplication, gene recruitment, and nucleotide selection. Four of the recruited genes are single-copy in the Myotis genome, whereas three have undergone duplication(s) with two of these genes exhibiting evolutionary 'bursts' of duplication resulting in multiple paralogs. Evidence for episodic directional selection was found for six of seven genes, reinforcing the conclusion that the recruited genes have important roles in adaptation to insectivory and the metabolic demands of flight. Intragenic frequencies of mobile- element-like sequences differed from frequencies in the whole M. lucifugus genome. Differences among recruited genes imply separate evolutionary trajectories and that adaptation was not a single, coordinated event.

Indexed as

DietTranscriptomeAdaptation, PhysiologicalAnimalsBiological TransportChiropteraDietary FatsEnergy MetabolismEvolution, MolecularFlight, AnimalGene DosageGene DuplicationHydrolysisHyperlipidemiasLipid MetabolismProteomicsDietary Fats

Identifiers

PMID24454705
PMCPMC3891661
OpenAlexW2048388454

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.