Evidence map›Paper›PMID 32939614›Full record

ArticleGenes & genomics2020

Genome-wide identification of microRNAs and phased siRNAs in soybean roots under long-term salt stress.

Qian Wang, Yingxia Yang, Guoqing Lu, Xianjun Sun, Youren Feng, Shuangyong Yan, Huiyuan Zhang, Qiyan Jiang, Hui Zhang, Zheng Hu and 1 more

Abstract read
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In one paragraph

Article in Genes & genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Epigenomics and Non-Coding RNAs in Soybean Adaptation to Abiotic Stresses.International journal of molecular sciences · 2025
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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

11 authors at 2 institutions in 1 country.

Qian WangBiotechnology Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin, 300381, China.
Yingxia YangBiotechnology Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin, 300381, China.
Guoqing LuBiotechnology Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin, 300381, China.
Xianjun SunThe National Key Facilities for Crop Genetic Resources and Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Youren FengTianjin Academy of Agricultural Sciences, Tianjin, 300192, China.
Shuangyong YanTianjin Key Laboratory of Crop Genetics and Breeding, Tianjin Crop Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin, 300384, China.
Huiyuan ZhangThe National Key Facilities for Crop Genetic Resources and Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Qiyan JiangThe National Key Facilities for Crop Genetic Resources and Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Hui ZhangThe National Key Facilities for Crop Genetic Resources and Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zheng HuThe National Key Facilities for Crop Genetic Resources and Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. huzheng@caas.cn.
Rui ChenBiotechnology Research Institute, Tianjin Academy of Agricultural Sciences, Tianjin, 300381, China. chenrui.taas@gmail.com.ORCID 0000-0002-9725-5856
Tianjin Academy of Agricultural Sciences · CNChinese Academy of Agricultural Sciences · CN

Funding

National Key Research and Development Program of China 2016YFD0101005National Natural Science Foundation of China 31671964
6 · The paper itself

Abstract

backgroundSalinity stress, as the key limiting factor for agricultural productivity, can activate a series of molecular responses and alter gene expression in plants. Endogenous regulatory small RNAs, such as microRNAs (miRNAs) and phased siRNAs (phasiRNAs), play crucial roles during stress adaptation and prevent the injury from environmental circumstances.

objectiveTo identify long-term salt stress responsive miRNAs and phasiRNAs as well as their associated genes and pathways in soybean roots.

methodsSmall RNA and degradome sequencing strategies were applied to genome widely investigate miRNAs and phasiRNAs in soybean roots under control and long-term salt stress conditions.

resultsIn this study, stringent bioinformatic analysis led to the identification of 253 conserved and 38 novel miRNA candidates. Results of expression profiling, target and endogenous target mimics predictions provided valuable clues to their functional roles. Furthermore, 156 genes were identified to be capable of generating 21 nt and 24 nt phasiRNAs, in which 37 candidates were confirmed by degradome data for miRNA-directed cleavage. Approximately 90% of these phasiRNA loci were protein coding genes. And GO enrichment analysis pointed to "signal transduction" and "ADP binding" entries and reflected the functional roles of identified phasiRNA genes.

conclusionTaken together, our findings extended the knowledge of salt responsive miRNAs and phasiRNAs in soybean roots, and provided valuable information for a better understanding of the regulatory events caused by small RNAs underlying plant adaptations to long-term salt stress.

Indexed as

Genome, PlantGlycine maxMicroRNAsPlant RootsRNA, Small InterferingSalt StressSalt-Tolerant PlantsMicroRNAsRNA, Small InterferingEndogenous target mimicryLong-term salt stressMicroRNAPhased siRNASoybean roots

Identifiers

PMID32939614
OpenAlexW3084656218

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Registered trials

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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.