Evidence map›Paper›PMID 32042156›Full record

ArticleNature plants2020

An inferred fitness consequence map of the rice genome.

Zoé Joly-Lopez, Adrian E Platts, Brad Gulko, Jae Young Choi, Simon C Groen, Xuehua Zhong, Adam Siepel, Michael D Purugganan

Abstract read
In one paragraph

Article in Nature plants, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Systems genomics of salinity stress response in rice.bioRxiv : the preprint server for biology · 2024
    Article
  8. Review
  9. Annual review of plant biology · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
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  20. Article
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

8 authors.

Zoé Joly-LopezCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0002-7926-322X
Adrian E PlattsCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0001-9238-9647
Brad GulkoSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
Jae Young ChoiCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA.
Simon C GroenCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0003-4538-8865
Xuehua ZhongLaboratory of Genetics and Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA.
Adam SiepelSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
Michael D PuruggananCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA. mp132@nyu.edu.ORCID http://orcid.org/0000-0002-9197-4112

Funding

Evolutionary Human Genomics: Demography, Natural Selection, and Transcriptional RegulationR35GM127070 · NIGMS · COLD SPRING HARBOR LABORATORY · PI Adam Charles Siepel · 2018 to 2026
$4.7M
Uncovering the epigenetic codes for genome integrity, developmental and environmental interaction.R35GM124806 · NIGMS · WASHINGTON UNIVERSITY · PI XUEHUA ZHONG · 2017 to 2026
$4.2M
NIGMS NIH HHS R35 GM124806NIGMS NIH HHS R35 GM127070
6 · The paper itself

Abstract

The extent to which sequence variation impacts plant fitness is poorly understood. High-resolution maps detailing the constraint acting on the genome, especially in regulatory sites, would be beneficial as functional annotation of noncoding sequences remains sparse. Here, we present a fitness consequence (fitCons) map for rice (Oryza sativa). We inferred fitCons scores (ρ) for 246 inferred genome classes derived from nine functional genomic and epigenomic datasets, including chromatin accessibility, messenger RNA/small RNA transcription, DNA methylation, histone modifications and engaged RNA polymerase activity. These were integrated with genome-wide polymorphism and divergence data from 1,477 rice accessions and 11 reference genome sequences in the Oryzeae. We found ρ to be multimodal, with ~9% of the rice genome falling into classes where more than half of the bases would probably have a fitness consequence if mutated. Around 2% of the rice genome showed evidence of weak negative selection, frequently at candidate regulatory sites, including a novel set of 1,000 potentially active enhancer elements. This fitCons map provides perspective on the evolutionary forces associated with genome diversity, aids in genome annotation and can guide crop breeding programs.

Indexed as

Genetic FitnessGenetic VariationGenome, PlantSelection, GeneticChromosome MappingMutationOryza

Identifiers

PMID32042156
PMCPMC7446671

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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.