Evidence map›Paper›PMID 28406900›Full record

ArticlePLoS genetics2017

Gene co-expression network connectivity is an important determinant of selective constraint.

Niklas Mähler, Jing Wang, Barbara K Terebieniec, Pär K Ingvarsson, Nathaniel R Street, Torgeir R Hvidsten

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
13.2field-weighted citation impact, top 1% 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

69 citing papers in PubMed, 137 citations in OpenAlex.

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9 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 2 countries.

Niklas MählerDepartment of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.ORCID 0000-0003-2673-9113
Jing WangUmeå Plant Science Centre, Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden.
Barbara K TerebieniecUmeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden.
Pär K IngvarssonUmeå Plant Science Centre, Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden.ORCID 0000-0001-9225-7521
Nathaniel R StreetUmeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden.ORCID 0000-0001-6031-005X
Torgeir R HvidstenDepartment of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.ORCID 0000-0001-6097-2539
Umeå Plant Science Centre · SESwedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While several studies have investigated general properties of the genetic architecture of natural variation in gene expression, few of these have considered natural, outbreeding populations. In parallel, systems biology has established that a general feature of biological networks is that they are scale-free, rendering them buffered against random mutations. To date, few studies have attempted to examine the relationship between the selective processes acting to maintain natural variation of gene expression and the associated co-expression network structure. Here we utilised RNA-Sequencing to assay gene expression in winter buds undergoing bud flush in a natural population of Populus tremula, an outbreeding forest tree species. We performed expression Quantitative Trait Locus (eQTL) mapping and identified 164,290 significant eQTLs associating 6,241 unique genes (eGenes) with 147,419 unique SNPs (eSNPs). We found approximately four times as many local as distant eQTLs, with local eQTLs having significantly higher effect sizes. eQTLs were primarily located in regulatory regions of genes (UTRs or flanking regions), regardless of whether they were local or distant. We used the gene expression data to infer a co-expression network and investigated the relationship between network topology, the genetic architecture of gene expression and signatures of selection. Within the co-expression network, eGenes were underrepresented in network module cores (hubs) and overrepresented in the periphery of the network, with a negative correlation between eQTL effect size and network connectivity. We additionally found that module core genes have experienced stronger selective constraint on coding and non-coding sequence, with connectivity associated with signatures of selection. Our integrated genetics and genomics results suggest that purifying selection is the primary mechanism underlying the genetic architecture of natural variation in gene expression assayed in flushing leaf buds of P. tremula and that connectivity within the co-expression network is linked to the strength of purifying selection.

Indexed as

Systems BiologyChromosome MappingGene Expression Regulation, PlantGene Regulatory NetworksGenome, PlantGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSelection, Genetic

Identifiers

PMID28406900
PMCPMC5407845
OpenAlexW2605427213

What OpenQuestion holds

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LicenceCC BY
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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.