Evidence map›Paper›PMID 31655539›Full record

ArticleBMC genomics2019

Physiological and transcriptome analysis reveal molecular mechanism in Salvia miltiorrhiza leaves of near-isogenic male fertile lines and male sterile lines.

Ruihong Wang, Han Jiang, Ziyun Zhou, Hongbo Guo, Juane Dong

Abstract read
In one paragraph

Article in BMC genomics, 2019. 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
–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

3 citing papers in PubMed.

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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

5 authors.

Ruihong WangCollege of Life Sciences, Northwest A&F University, Yangling, 712100, China.
Han JiangCollege of Life Sciences, Northwest A&F University, Yangling, 712100, China.
Ziyun ZhouCollege of Life Sciences, Northwest A&F University, Yangling, 712100, China.
Hongbo GuoCollege of Chemistry and Pharmacy, Northwest A&F University, Yangling, 712100, China. hbguo@nwsuaf.edu.cn.ORCID http://orcid.org/0000-0003-0026-0964
Juane DongCollege of Life Sciences, Northwest A&F University, Yangling, 712100, China. dje009@126.com.

Funding

National Natural Science Foundation of China 31670301National Natural Science Foundation of Shaanxi 2016JM8108
6 · The paper itself

Abstract

backgroundOur previous study finds that male sterility in Salvia miltiorrhiza could result in stunted growth and reduced biomass, but their molecular mechanisms have not yet been revealed. In this article, we investigate the underlying mechanism of male sterility and its impact on plant growth and metabolic yield by using physiological analysis and mRNA sequencing (RNA-Seq).

resultsIn this study, transcriptomic and physiological analysis were performed to identify the mechanism of male sterility in mutants and its impact on plant growth and metabolic yield. Through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, it is found that the pathways are mainly enriched in processes including organ development, primary metabolic process and secondary metabolic process. Physiological analysis show that the chloroplast structure of male sterile mutants of S. miltiorrhiza is abnormally developed, which could result in decrease in leaf gas exchange (A, E and g

conclusionsOur results from the physiological and transcriptome analysis reveal underlying mechanism of plant growth and metabolic yield in male sterile mutants, and provide insight into the crop yield of S. miltiorrhiza.

Indexed as

Gene Expression ProfilingChlorophyllChloroplastsGene OntologyPhotosynthesisPlant LeavesPyridinesSalvia miltiorrhizaChlorophyllphenyramidolPyridinesActive ingredientsChloroplast structureMale sterile mutantsPhenylpropanoid pathwayPhotosynthetic characteristicsSalvia miltiorrhizaTranscriptome

Identifiers

PMID31655539
PMCPMC6815445

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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.