Evidence map›Paper›PMID 27774999›Full record

ArticleScientific reports2016

Nucleotide diversity analysis highlights functionally important genomic regions.

Tatiana V Tatarinova, Evgeny Chekalin, Yuri Nikolsky, Sergey Bruskin, Dmitry Chebotarov, Kenneth L McNally, Nickolai Alexandrov

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
15.8field-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

31 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. BLSSpeller to discover novel regulatory motifs in maize.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022
    Article
  10. Genome-Wide Prediction of Transcription Start Sites in Conifers.International journal of molecular sciences · 2022
    Article
  11. Article
  12. Genomic partitioning of inbreeding depression in humans.American journal of human genetics · 2021
    Article
  13. Article
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  15. Review
  16. Article
  17. Article
  18. Article
  19. Genes · 2020
    Article
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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

7 authors at 3 institutions in 3 countries.

Tatiana V TatarinovaCenter for Personalized Medicine and Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA.
Evgeny ChekalinVavilov Institute of General Genetics, Moscow, Russia.
Yuri NikolskyVavilov Institute of General Genetics, Moscow, Russia.
Sergey BruskinVavilov Institute of General Genetics, Moscow, Russia.
Dmitry ChebotarovInternational Rice Research Institute, Los Baños, Laguna 4031, Philippines.
Kenneth L McNallyInternational Rice Research Institute, Los Baños, Laguna 4031, Philippines.
Nickolai AlexandrovInternational Rice Research Institute, Los Baños, Laguna 4031, Philippines.
International Rice Research Institute · PHVavilov Institute of General Genetics · RUUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed functionality and relative distribution of genetic variants across the complete Oryza sativa genome, using the 40 million single nucleotide polymorphisms (SNPs) dataset from the 3,000 Rice Genomes Project (http://snp-seek.irri.org), the largest and highest density SNP collection for any higher plant. We have shown that the DNA-binding transcription factors (TFs) are the most conserved group of genes, whereas kinases and membrane-localized transporters are the most variable ones. TFs may be conserved because they belong to some of the most connected regulatory hubs that modulate transcription of vast downstream gene networks, whereas signaling kinases and transporters need to adapt rapidly to changing environmental conditions. In general, the observed profound patterns of nucleotide variability reveal functionally important genomic regions. As expected, nucleotide diversity is much higher in intergenic regions than within gene bodies (regions spanning gene models), and protein-coding sequences are more conserved than untranslated gene regions. We have observed a sharp decline in nucleotide diversity that begins at about 250 nucleotides upstream of the transcription start and reaches minimal diversity exactly at the transcription start. We found the transcription termination sites to have remarkably symmetrical patterns of SNP density, implying presence of functional sites near transcription termination. Also, nucleotide diversity was significantly lower near 3' UTRs, the area rich with regulatory regions.

Indexed as

3' Untranslated RegionsCodon, TerminatorDNA, IntergenicGene Regulatory NetworksGenome, PlantGenomicsNucleotidesOryzaPolymorphism, Single NucleotideTranscription, Genetic3' Untranslated RegionsCodon, TerminatorDNA, IntergenicNucleotides

Identifiers

PMID27774999
PMCPMC5075931
OpenAlexW2536280892

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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.