Evidence map›Paper›PMID 28827710›Full record

ArticleScientific reports2017

Differential evolutionary patterns and expression levels between sex-specific and somatic tissue-specific genes in peanut.

Hui Song, Qingping Zhang, Pei Tian, Zhibiao Nan

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Comprehensive analysis of coding sequence architecture features and gene expression inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  4. Article
  5. Article
  6. 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

4 authors.

Hui SongState Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730000, China. biosonghui@outlook.com.
Qingping ZhangState Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730000, China.
Pei TianState Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730000, China.
Zhibiao NanState Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730000, China. zhibiao@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The patterns of evolution and expression of tissue-specific genes are poorly understood beyond sex-specific genes. Accordingly, we identified 3,191 tissue-specific genes and 38,745 common genes using 22 RNA-seq datasets from cultivated peanut. The expression levels of tissue-specific genes were significantly lower than those of common genes. Further, the expression levels of sex-specific genes were significantly higher than those of somatic tissue-specific genes. Among sex-specific genes, the expression levels of gynoecium-specific genes were significantly higher than those of androecium-specific genes. Function-specific genes were lacking among tissue-specific genes, and tissue-specific gene annotations overlapped among different tissues. Duplicate gene pairs were classified as homogeneous pairs expressed within the same tissue or heterogeneous pairs expressed in different tissues. Heterogeneous gene pairs evolved more rapidly than homogeneous gene pairs. In addition, somatic tissue-specific genes evolved faster than sex-specific genes. Molecular signatures of selection indicated that somatic tissue-specific genes have mainly experienced relaxed selection, while sex-specific genes have been under stronger selective constraint. Somatic tissue-specific genes had higher codon usage bias than sex-specific genes. These contrasting patterns between somatic tissue-specific and sex-specific genes provide new insights into the basic biology and evolution of peanut, an important crop.

Indexed as

Evolution, MolecularGene Expression Regulation, PlantArachisComputational BiologyGene Expression ProfilingGenes, Plant

Identifiers

PMID28827710
PMCPMC5566475

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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.