Evidence map›Paper›PMID 26699716›Full record

ArticleBMC genomics2015

Global expression differences and tissue specific expression differences in rice evolution result in two contrasting types of differentially expressed genes.

Youko Horiuchi, Yoshiaki Harushima, Hironori Fujisawa, Takako Mochizuki, Masahiro Fujita, Hajime Ohyanagi, Nori Kurata

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 6 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

7 authors at 3 institutions in 1 country.

Youko HoriuchiPlant Genetics Laboratory, Genetic Strains Research Center, National Institute of Genetics, Yata 1111, Mishima, Shizuoka, 411-8540, Japan. yhoriuch@nig.ac.jp.
Yoshiaki HarushimaPlant Genetics Laboratory, Genetic Strains Research Center, National Institute of Genetics, Yata 1111, Mishima, Shizuoka, 411-8540, Japan. yharushi@nig.ac.jp.
Hironori FujisawaDepartment of Mathematical Analysis and Statistical Inference, The Institute of Statistical Mathematics, 10-3 Midori-cho, Tachikawa, Tokyo, 190-8562, Japan. fujisawa@ism.ac.jp.
Takako MochizukiPlant Genetics Laboratory, Genetic Strains Research Center, National Institute of Genetics, Yata 1111, Mishima, Shizuoka, 411-8540, Japan. tm@nig.ac.jp.
Masahiro FujitaPlant Genetics Laboratory, Genetic Strains Research Center, National Institute of Genetics, Yata 1111, Mishima, Shizuoka, 411-8540, Japan. masfujit@nig.ac.jp.
Hajime OhyanagiPlant Genetics Laboratory, Genetic Strains Research Center, National Institute of Genetics, Yata 1111, Mishima, Shizuoka, 411-8540, Japan. hajime.ohyanagi@kaust.edu.sa.
Nori KurataPlant Genetics Laboratory, Genetic Strains Research Center, National Institute of Genetics, Yata 1111, Mishima, Shizuoka, 411-8540, Japan. nkurata@nig.ac.jp.
National Institute of Genetics · JPThe Graduate University for Advanced Studies, SOKENDAI · JPThe Institute of Statistical Mathematics · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the development of transcriptome analysis systems, many expression evolution studies characterized evolutionary forces acting on gene expression, without explicit discrimination between global expression differences and tissue specific expression differences. However, different types of gene expression alteration should have different effects on an organism, the evolutionary forces that act on them might be different, and different types of genes might show different types of differential expression between species. To confirm this, we studied differentially expressed (DE) genes among closely related groups that have extensive gene expression atlases, and clarified characteristics of different types of DE genes including the identification of regulating loci for differential expression using expression quantitative loci (eQTL) analysis data.

resultsWe detected differentially expressed (DE) genes between rice subspecies in five homologous tissues that were verified using japonica and indica transcriptome atlases in public databases. Using the transcriptome atlases, we classified DE genes into two types, global DE genes and changed-tissues DE genes. Global type DE genes were not expressed in any tissues in the atlas of one subspecies, however changed-tissues type DE genes were expressed in both subspecies with different tissue specificity. For the five tissues in the two japonica-indica combinations, 4.6 ± 0.8 and 5.9 ± 1.5 % of highly expressed genes were global and changed-tissues DE genes, respectively. Changed-tissues DE genes varied in number between tissues, increasing linearly with the abundance of tissue specifically expressed genes in the tissue. Molecular evolution of global DE genes was rapid, unlike that of changed-tissues DE genes. Based on gene ontology, global and changed-tissues DE genes were different, having no common GO terms. Expression differences of most global DE genes were regulated by cis-eQTLs. Expression evolution of changed-tissues DE genes was rapid in tissue specifically expressed genes and those rapidly evolved changed-tissues DE genes were regulated not by cis-eQTLs, but by complicated trans-eQTLs.

conclusionsGlobal DE genes and changed-tissues DE genes had contrasting characteristics. The two contrasting types of DE genes provide possible explanations for the previous controversial conclusions about the relationships between molecular evolution and expression evolution of genes in different species, and the relationship between expression breadth and expression conservation in evolution.

Indexed as

Genes, PlantQuantitative Trait LociDatabases, GeneticEvolution, MolecularGene Expression ProfilingGene Expression Regulation, PlantGene OntologyOrgan SpecificityOryza

Identifiers

PMID26699716
PMCPMC4690246
OpenAlexW2212528362

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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.