Evidence map›Paper›PMID 27655842›Full record

ArticleThe Plant cell2016

EGRINs (Environmental Gene Regulatory Influence Networks) in Rice That Function in the Response to Water Deficit, High Temperature, and Agricultural Environments.

Olivia Wilkins, Christoph Hafemeister, Anne Plessis, Meisha-Marika Holloway-Phillips, Gina M Pham, Adrienne B Nicotra, Glenn B Gregorio, S V Krishna Jagadish, Endang M Septiningsih, Richard Bonneau and 1 more

Abstract read
In one paragraph

Article in The Plant cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 2 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

96 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Systems genomics of salinity stress response in rice.bioRxiv : the preprint server for biology · 2024
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36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Olivia WilkinsDepartment of Biology and Center for Genomics and Systems Biology, New York University, New York, New York 11225.ORCID 0000-0001-9762-7069
Christoph HafemeisterDepartment of Biology and Center for Genomics and Systems Biology, New York University, New York, New York 11225.
Anne PlessisDepartment of Biology and Center for Genomics and Systems Biology, New York University, New York, New York 11225.ORCID 0000-0002-1083-7459
Meisha-Marika Holloway-PhillipsResearch School of Biology, Australian National University, Canberra, Australian Capital Territory 0200, Australia.ORCID 0000-0002-8353-3536
Gina M PhamDepartment of Biology and Center for Genomics and Systems Biology, New York University, New York, New York 11225.ORCID 0000-0002-8058-7862
Adrienne B NicotraResearch School of Biology, Australian National University, Canberra, Australian Capital Territory 0200, Australia.
Glenn B GregorioInternational Rice Research Institute, Metro Manila 1301, Philippines.ORCID 0000-0002-7512-9058
S V Krishna JagadishInternational Rice Research Institute, Metro Manila 1301, Philippines.
Endang M SeptiningsihInternational Rice Research Institute, Metro Manila 1301, Philippines.ORCID 0000-0002-9481-304X
Richard BonneauDepartment of Biology and Center for Genomics and Systems Biology, New York University, New York, New York 11225 rb133@nyu.edu mp132@nyu.edu.
Michael PuruggananDepartment of Biology and Center for Genomics and Systems Biology, New York University, New York, New York 11225 rb133@nyu.edu mp132@nyu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental gene regulatory influence networks (EGRINs) coordinate the timing and rate of gene expression in response to environmental signals. EGRINs encompass many layers of regulation, which culminate in changes in accumulated transcript levels. Here, we inferred EGRINs for the response of five tropical Asian rice (Oryza sativa) cultivars to high temperatures, water deficit, and agricultural field conditions by systematically integrating time-series transcriptome data, patterns of nucleosome-free chromatin, and the occurrence of known cis-regulatory elements. First, we identified 5447 putative target genes for 445 transcription factors (TFs) by connecting TFs with genes harboring known cis-regulatory motifs in nucleosome-free regions proximal to their transcriptional start sites. We then used network component analysis to estimate the regulatory activity for each TF based on the expression of its putative target genes. Finally, we inferred an EGRIN using the estimated transcription factor activity (TFA) as the regulator. The EGRINs include regulatory interactions between 4052 target genes regulated by 113 TFs. We resolved distinct regulatory roles for members of the heat shock factor family, including a putative regulatory connection between abiotic stress and the circadian clock. TFA estimation using network component analysis is an effective way of incorporating multiple genome-scale measurements into network inference.

Indexed as

Gene Expression Regulation, PlantOryzaPlant ProteinsTemperatureTranscription FactorsWaterPlant ProteinsTranscription FactorsWater

Identifiers

PMID27655842
PMCPMC5134975

What OpenQuestion holds

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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.