Evidence map›Paper›PMID 29720271›Full record

ArticleMicrobiome2018

Mind the gut: genomic insights to population divergence and gut microbial composition of two marine keystone species.

Katharina Fietz, Christian Olaf Rye Hintze, Mikkel Skovrind, Tue Kjærgaard Nielsen, Morten T Limborg, Marcus A Krag, Per J Palsbøll, Lars Hestbjerg Hansen, Peter Rask Møller, M Thomas P Gilbert

Abstract read
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

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  11. Intrahabitat Differences in Bacterial Communities Associated withApplied and environmental microbiology · 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

10 authors.

Katharina FietzNatural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark. fietzkatharina@posteo.de.ORCID 0000-0001-8848-1264
Christian Olaf Rye HintzeNatural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark.
Mikkel SkovrindNatural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark.
Tue Kjærgaard NielsenDepartment of Environmental Science, Environmental Microbial Genomics Group, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
Morten T LimborgNatural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark.
Marcus A KragNatural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark.
Per J PalsbøllMarine Evolution and Conservation, Faculty of Science and Engineering, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.
Lars Hestbjerg HansenDepartment of Environmental Science, Environmental Microbial Genomics Group, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
Peter Rask MøllerNatural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark.
M Thomas P GilbertNatural History Museum of Denmark, Section for Evolutionary Genomics, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark. tgilbert@snm.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeciphering the mechanisms governing population genetic divergence and local adaptation across heterogeneous environments is a central theme in marine ecology and conservation. While population divergence and ecological adaptive potential are classically viewed at the genetic level, it has recently been argued that their microbiomes may also contribute to population genetic divergence. We explored whether this might be plausible along the well-described environmental gradient of the Baltic Sea in two species of sand lance (Ammodytes tobianus and Hyperoplus lanceolatus). Specifically, we assessed both their population genetic and gut microbial composition variation and investigated not only which environmental parameters correlate with the observed variation, but whether host genome also correlates with microbiome variation.

resultsWe found a clear genetic structure separating the high-salinity North Sea from the low-salinity Baltic Sea sand lances. The observed genetic divergence was not simply a function of isolation by distance, but correlated with environmental parameters, such as salinity, sea surface temperature, and, in the case of A. tobianus, possibly water microbiota. Furthermore, we detected two distinct genetic groups in Baltic A. tobianus that might represent sympatric spawning types. Investigation of possible drivers of gut microbiome composition variation revealed that host species identity was significantly correlated with the microbial community composition of the gut. A potential influence of host genetic factors on gut microbiome composition was further confirmed by the results of a constrained analysis of principal coordinates. The host genetic component was among the parameters that best explain observed variation in gut microbiome composition.

conclusionsOur findings have relevance for the population structure of two commercial species but also provide insights into potentially relevant genomic and microbial factors with regards to sand lance adaptation across the North Sea-Baltic Sea environmental gradient. Furthermore, our findings support the hypothesis that host genetics may play a role in regulating the gut microbiome at both the interspecific and intraspecific levels. As sequencing costs continue to drop, we anticipate that future studies that include full genome and microbiome sequencing will be able to explore the full relationship and its potential adaptive implications for these species.

Indexed as

BacteriaAnimalsBase SequenceFishesGastrointestinal MicrobiomeGenetics, PopulationGenome, BacterialOceans and SeasPolymorphism, Single NucleotideSequence Analysis, DNABaltic SeaHolobiomeLocal adaptive potentialMicrobiomePopulation genomicsSand lance

Identifiers

PMID29720271
PMCPMC5932900

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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.