Evidence map›Paper›PMID 28662696›Full record

ArticleBMC genomics2017

Contribution of trans regulatory eQTL to cryptic genetic variation in C. elegans.

Basten L Snoek, Mark G Sterken, Roel P J Bevers, Rita J M Volkers, Arjen Van't Hof, Rachel Brenchley, Joost A G Riksen, Andrew Cossins, Jan E Kammenga

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
12.6field-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

41 citing papers in PubMed, 445 citations in OpenAlex.

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  11. Plasticity of maternal environment-dependent expression-QTLs of tomato seeds.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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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

9 authors at 2 institutions in 2 countries.

Basten L SnoekLaboratory of Nematology, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands.
Mark G SterkenLaboratory of Nematology, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands.
Roel P J BeversLaboratory of Nematology, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands.
Rita J M VolkersLaboratory of Nematology, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands.
Arjen Van't HofCentre for Genome research, Institute of Integrative Biology, Biosciences Building, University of Liverpool, L69 7ZB, Liverpool, UK.
Rachel BrenchleyCentre for Genome research, Institute of Integrative Biology, Biosciences Building, University of Liverpool, L69 7ZB, Liverpool, UK.
Joost A G RiksenLaboratory of Nematology, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands.
Andrew CossinsCentre for Genome research, Institute of Integrative Biology, Biosciences Building, University of Liverpool, L69 7ZB, Liverpool, UK.
Jan E KammengaLaboratory of Nematology, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands. Jan.kammenga@wur.nl.ORCID 0000-0003-4822-4436
Wageningen University & Research · NLUniversity of Liverpool · GB

Funding

Biotechnology and Biological Sciences Research Council BB/I004815/1
6 · The paper itself

Abstract

backgroundCryptic genetic variation (CGV) is the hidden genetic variation that can be unlocked by perturbing normal conditions. CGV can drive the emergence of novel complex phenotypes through changes in gene expression. Although our theoretical understanding of CGV has thoroughly increased over the past decade, insight into polymorphic gene expression regulation underlying CGV is scarce. Here we investigated the transcriptional architecture of CGV in response to rapid temperature changes in the nematode Caenorhabditis elegans. We analyzed regulatory variation in gene expression (and mapped eQTL) across the course of a heat stress and recovery response in a recombinant inbred population.

resultsWe measured gene expression over three temperature treatments: i) control, ii) heat stress, and iii) recovery from heat stress. Compared to control, exposure to heat stress affected the transcription of 3305 genes, whereas 942 were affected in recovering animals. These affected genes were mainly involved in metabolism and reproduction. The gene expression pattern in recovering animals resembled both the control and the heat-stress treatment. We mapped eQTL using the genetic variation of the recombinant inbred population and detected 2626 genes with an eQTL in the heat-stress treatment, 1797 in the control, and 1880 in the recovery. The cis-eQTL were highly shared across treatments. A considerable fraction of the trans-eQTL (40-57%) mapped to 19 treatment specific trans-bands. In contrast to cis-eQTL, trans-eQTL were highly environment specific and thus cryptic. Approximately 67% of the trans-eQTL were only induced in a single treatment, with heat-stress showing the most unique trans-eQTL.

conclusionsThese results illustrate the highly dynamic pattern of CGV across three different environmental conditions that can be evoked by a stress response over a relatively short time-span (2 h) and that CGV is mainly determined by response related trans regulatory eQTL.

Indexed as

Genetic VariationAnimalsCaenorhabditis elegansGene Expression RegulationHeat-Shock ResponseQuantitative Trait LociRegulatory Sequences, Nucleic AcidTranscription, GeneticCaenorhabditis elegansCryptic genetic variationeQTLeQTL hotspotGenetical genomicsHeat stressTrans-band

Identifiers

PMID28662696
PMCPMC5492678
OpenAlexW2949448083

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.