Evidence map›Paper›PMID 30249187›Full record

ArticleBMC plant biology2018

The key genes and pathways related to male sterility of eggplant revealed by comparative transcriptome analysis.

Yan Yang, Shengyou Bao, Xiaohui Zhou, Jun Liu, Yong Zhuang

Abstract readComparative Study
In one paragraph

Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  6. Review
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  16. Article
  17. Article
  18. Heterosis Breeding in Eggplant (Plants (Basel, Switzerland) · 2020
    Review
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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

5 authors.

Yan YangInstitute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Shengyou BaoInstitute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Xiaohui ZhouInstitute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Jun LiuInstitute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Yong ZhuangCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China. jaaszy@163.com.ORCID http://orcid.org/0000-0002-4324-1571

Funding

National Natural Science Foundation of China 31672145National Natural Science Foundation of China 31701932
6 · The paper itself

Abstract

backgroundMale sterility (MS) is an effective tool for hybrid production. Although MS has been widely reported in other plants, such as Arabidopsis and rice, the molecular mechanism of MS in eggplant is largely unknown. To understand the mechanism, the comparative transcriptomic file of MS line and its maintainer line was analyzed with the RNA-seq technology.

resultsA total of 11,7695 unigenes were assembled and 19,652 differentially expressed genes (DEGs) were obtained. The results showed that 1,716 DEGs were shared in the three stages. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that these DEGs were mainly involved in oxidation-reduction, carbohydrate and amino acid metabolism. Moreover, transcriptional regulation was also the impact effector for MS and anther development. Weighted correlation network analysis (WGCNA) showed two modules might be responsible for MS, which was similar to hierarchical cluster analysis.

conclusionsA number of genes and pathways associated with MS were found in this study. This study threw light on the molecular mechanism of MS and identified several key genes related to MS in eggplant.

Indexed as

Gene Expression Regulation, PlantCluster AnalysisFlowersGene Expression ProfilingGene OntologyMetabolic Networks and PathwaysModels, GeneticPlant InfertilityPlant ProteinsReproducibility of ResultsSequence Analysis, RNASolanum melongenaTranscription FactorsPlant ProteinsTranscription FactorsDEGsEggplantMale sterilityRNA-seq

Identifiers

PMID30249187
PMCPMC6154905

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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.