Evidence map›Paper›PMID 34054917›Full record

ArticleFrontiers in genetics2021

MicroRNAs Involved in Regulatory Cytoplasmic Male Sterility by Analysis RNA-seq and Small RNA-seq in Soybean.

Chunbao Zhang, Fuyou Fu, Chunjing Lin, Xiaoyang Ding, Jingyong Zhang, Hao Yan, Pengnian Wang, Wei Zhang, Bao Peng, Limei Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Male sterility and hybrid breeding in soybean.Molecular breeding : new strategies in plant improvement · 2023
    Article
  3. Article
  4. Review
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

10 authors at 2 institutions in 2 countries.

Chunbao ZhangSoybean Research Institute, The National Engineering Research Center for Soybean, Jilin Academy of Agricultural Sciences, Changchun, China.
Fuyou FuSaskatoon Research Centre, Agriculture and Agri-Food Canada, Saskatoon, SK, Canada.
Chunjing LinSoybean Research Institute, The National Engineering Research Center for Soybean, Jilin Academy of Agricultural Sciences, Changchun, China.
Xiaoyang DingSoybean Research Institute, The National Engineering Research Center for Soybean, Jilin Academy of Agricultural Sciences, Changchun, China.
Jingyong ZhangSoybean Research Institute, The National Engineering Research Center for Soybean, Jilin Academy of Agricultural Sciences, Changchun, China.
Hao YanSoybean Research Institute, The National Engineering Research Center for Soybean, Jilin Academy of Agricultural Sciences, Changchun, China.
Pengnian WangSoybean Research Institute, The National Engineering Research Center for Soybean, Jilin Academy of Agricultural Sciences, Changchun, China.
Wei ZhangSoybean Research Institute, The National Engineering Research Center for Soybean, Jilin Academy of Agricultural Sciences, Changchun, China.
Bao PengSoybean Research Institute, The National Engineering Research Center for Soybean, Jilin Academy of Agricultural Sciences, Changchun, China.
Limei ZhaoSoybean Research Institute, The National Engineering Research Center for Soybean, Jilin Academy of Agricultural Sciences, Changchun, China.
Jilin Academy of Agricultural Sciences · CNAgriculture and Agri-Food Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytoplasmic male sterility (CMS) is an important plant characteristic for exploiting heterosis to enhance crop traits during breeding. However, the CMS regulatory network remains unclear in plants, even though researchers have attempted to isolate genes associated with CMS. In this study, we performed high-throughput sequencing and degradome analyses to identify microRNAs (miRNAs) and their targets in a soybean CMS line (JLCMS9A) and its maintainer line (JLCMS9B). Additionally, the differentially expressed genes during reproductive development were identified using RNA-seq data. A total of 280 miRNAs matched soybean miRNA sequences in miRBase, including mature miRNAs and pre-miRNAs. Of the 280 miRNAs, 30, 23, and 21 belonged to the miR166, miR156, and miR171 families, respectively. Moreover, 410 novel low-abundant miRNAs were identified in the JLCMS9A and JLCMS9B flower buds. Furthermore, 303 and 462 target genes unique to JLCMS9A and JLCMS9B, respectively, as well as 782 common targets were predicted based on the degradome analysis. Target genes differentially expressed between the CMS line and the maintainer line were revealed by an RNA-seq analysis. Moreover, all target genes were annotated with diverse functions related to biological processes, cellular components, and molecular functions, including transcriptional regulation, the nucleus, meristem maintenance, meristem initiation, cell differentiation, auxin-activated signaling, plant ovule development, and anther development. Finally, a network was built based on the interactions. Analyses of the miRNA, degradome, and transcriptome datasets generated in this study provided a comprehensive overview of the reproductive development of a CMS soybean line. The data presented herein represent useful information for soybean hybrid breeding. Furthermore, the study results indicate that miRNAs might contribute to the soybean CMS regulatory network by modulating the expression of CMS-related genes. These findings lay the foundation for future studies on the molecular mechanisms underlying soybean CMS.

Indexed as

cytoplasmic male sterilitydegradomemicroRNARNA-seqsoybean

Identifiers

PMID34054917
PMCPMC8153375
OpenAlexW3162735376

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.