Evidence map›Paper›PMID 28854641›Full record

ArticleGenome biology and evolution2017

Conserved Transcription Factors Steer Growth-Related Genomic Programs in Daphnia.

Katina I Spanier, Mieke Jansen, Ellen Decaestecker, Gert Hulselmans, Dörthe Becker, John K Colbourne, Luisa Orsini, Luc De Meester, Stein Aerts

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Article in Genome biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 15 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

9 authors at 5 institutions in 2 countries.

Katina I SpanierDepartment of Biology, Laboratory of Aquatic Ecology, Evolution and Conservation, KU Leuven, Belgium.
Mieke JansenDepartment of Biology, Laboratory of Aquatic Ecology, Evolution and Conservation, KU Leuven, Belgium.
Ellen DecaesteckerDepartment of Biology, Laboratory of Aquatic Biology, Science and Technology, KU Leuven Campus Kulak, Kortrjik, Belgium.
Gert HulselmansDepartment of Human Genetics, Laboratory of Computational Biology, KU Leuven, Belgium.
Dörthe BeckerEnvironmental Genomics Group, School of Biosciences, College of Life and Environmental Sciences, University of Birmingham, United Kingdom.
John K ColbourneEnvironmental Genomics Group, School of Biosciences, College of Life and Environmental Sciences, University of Birmingham, United Kingdom.
Luisa OrsiniEnvironmental Genomics Group, School of Biosciences, College of Life and Environmental Sciences, University of Birmingham, United Kingdom.
Luc De MeesterDepartment of Biology, Laboratory of Aquatic Ecology, Evolution and Conservation, KU Leuven, Belgium.
Stein AertsDepartment of Human Genetics, Laboratory of Computational Biology, KU Leuven, Belgium.
KU Leuven · BEUniversity of Birmingham · GBVIB-KU Leuven Center for Brain & Disease Research · BEGenomics (United Kingdom) · GBVIB-KU Leuven Center for Cancer Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological genomics aims to understand the functional association between environmental gradients and the genes underlying adaptive traits. Many genes that are identified by genome-wide screening in ecologically relevant species lack functional annotations. Although gene functions can be inferred from sequence homology, such approaches have limited power. Here, we introduce ecological regulatory genomics by presenting an ontology-free gene prioritization method. Specifically, our method combines transcriptome profiling with high-throughput cis-regulatory sequence analysis in the water fleas Daphnia pulex and Daphnia magna. It screens coexpressed genes for overrepresented DNA motifs that serve as transcription factor binding sites, thereby providing insight into conserved transcription factors and gene regulatory networks shaping the expression profile. We first validated our method, called Daphnia-cisTarget, on a D. pulex heat shock data set, which revealed a network driven by the heat shock factor. Next, we performed RNA-Seq in D. magna exposed to the cyanobacterium Microcystis aeruginosa. Daphnia-cisTarget identified coregulated gene networks that associate with the moulting cycle and potentially regulate life history changes in growth rate and age at maturity. These networks are predicted to be regulated by evolutionary conserved transcription factors such as the homologues of Drosophila Shavenbaby and Grainyhead, nuclear receptors, and a GATA family member. In conclusion, our approach allows prioritising candidate genes in Daphnia without bias towards prior knowledge about functional gene annotation and represents an important step towards exploring the molecular mechanisms of ecological responses in organisms with poorly annotated genomes.

Indexed as

AnimalsArthropod ProteinsDaphniaEvolution, MolecularGene Regulatory NetworksGenomicsMicrocystisPhylogenyTranscription FactorsArthropod ProteinsTranscription Factorscis-regulationcrustacea endocrine signalingfunctional enrichmentmotif discoveryomics data integrationprioritization

Identifiers

PMID28854641
PMCPMC5569996
OpenAlexW2735065525

What OpenQuestion holds

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LicenceCC BY-NC
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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.