Evidence map›Paper›PMID 32513103›Full record

ArticleBMC genomics2020

Characterization of the transcriptional divergence between the subspecies of cultivated rice (Oryza sativa).

Malachy T Campbell, Qian Du, Kan Liu, Sandeep Sharma, Chi Zhang, Harkamal Walia

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. ASR gene family: a case of tandem-drive evolution.Frontiers in molecular biosciences · 2025
    Article
  5. Article
  6. Article
  7. Haploid Induction inPlants (Basel, Switzerland) · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Cell Type-Specific Differentiation BetweenFrontiers in genetics · 2021
    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

6 authors.

Malachy T CampbellDepartment of Agronomy and Horticulture, University of Nebraska Lincoln, 1825 N 38th St., Lincoln, 68583, NE, USA. campbell.malachy@gmail.com.ORCID http://orcid.org/0000-0002-8257-3595
Qian DuSchool of Biological Sciences, University of Nebraska Lincoln, 1901 Vine St., Lincoln, 68503, NE, USA.
Kan LiuSchool of Biological Sciences, University of Nebraska Lincoln, 1901 Vine St., Lincoln, 68503, NE, USA.
Sandeep SharmaDepartment of Agronomy and Horticulture, University of Nebraska Lincoln, 1825 N 38th St., Lincoln, 68583, NE, USA.
Chi ZhangSchool of Biological Sciences, University of Nebraska Lincoln, 1901 Vine St., Lincoln, 68503, NE, USA.
Harkamal WaliaDepartment of Agronomy and Horticulture, University of Nebraska Lincoln, 1825 N 38th St., Lincoln, 68583, NE, USA. campbell.malachy@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCultivated rice consists of two subspecies, Indica and Japonica, that exhibit well-characterized differences at the morphological and genetic levels. However, the differences between these subspecies at the transcriptome level remains largely unexamined. Here, we provide a comprehensive characterization of transcriptome divergence and cis-regulatory variation within rice using transcriptome data from 91 accessions from a rice diversity panel (RDP1).

resultsThe transcriptomes of the two subspecies of rice are highly divergent. Japonica have significantly lower expression and genetic diversity relative to Indica, which is likely a consequence of a population bottleneck during Japonica domestication. We leveraged high-density genotypic data and transcript levels to identify cis-regulatory variants that may explain the genetic divergence between the subspecies. We identified significantly more eQTL that were specific to the Indica subspecies compared to Japonica, suggesting that the observed differences in expression and genetic variability also extends to cis-regulatory variation.

conclusionsUsing RNA sequencing data for 91diverse rice accessions and high-density genotypic data, we show that the two species are highly divergent with respect to gene expression levels, as well as the genetic regulation of expression. The data generated by this study provide, to date, the largest collection of genome-wide transcriptional levels for rice, and provides a community resource to accelerate functional genomic studies in rice.

Indexed as

Quantitative Trait LociCrops, AgriculturalGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGenetic VariationOryzaPlant ProteinsSequence Analysis, RNASpecies SpecificityWhole Genome SequencingPlant ProteinsExpression quantitative trait lociGene expressionNatural variationOryza sativaPopulation geneticsRegulatory variationRNA sequencing

Identifiers

PMID32513103
PMCPMC7278148

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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.