Evidence map›Paper›PMID 32117460›Full record

ArticleFrontiers in genetics2020

Integrated Analysis of Large-Scale Omics Data Revealed Relationship Between Tissue Specificity and Evolutionary Dynamics of Small RNAs in Maize (

Yu Xu, Ting Zhang, Yuchen Li, Zhenyan Miao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 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
7.2field-weighted citation impact, top 3% 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, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Long non-coding RNA and microRNA landscape of two major domesticated cotton species.Computational and structural biotechnology journal · 2023
    Article
  6. Interactive Web-based Annotation of Plant MicroRNAs with iwa-miRNA.Genomics, proteomics & bioinformatics · 2022
    Article
  7. Article
  8. 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 at 1 institution in 1 country.

Yu XuState Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, China.
Ting ZhangState Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, China.
Yuchen LiState Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, China.
Zhenyan MiaoState Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A&F University, Yangling, China.
Northwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolutionary dynamics and tissue specificity of protein-coding genes are well documented in plants. However, the evolutionary consequences of small RNAs (sRNAs) on tissue-specific functions remain poorly understood. Here, we performed integrated analysis of 195 deeply sequenced sRNA libraries of maize B73, representing more than 10 tissues, and identified a comprehensive list of 419 maize microRNA (miRNA) genes, 271 of which were newly discovered in this study. We further characterized the evolutionary dynamics and tissue specificity of miRNA genes and corresponding miRNA isoforms (isomiRs). Our analysis revealed that tissue specificity of isomiR events tends to be associated with miRNA gene abundance and suggested that the frequencies of isomiR types are affected by the local genomic regions. Moreover, genome duplication (GD) events have dramatic effect on evolutionary dynamics of maize miRNA genes, and the abundance divergence for tissue-specific miRNA genes is associated with GD events. Further study indicated that duplicate miRNA genes with tissue-specific expression patterns, such as

Indexed as

genome duplicationmaizemicroRNAphasiRNAstissue specificity

Identifiers

PMID32117460
PMCPMC7026458
OpenAlexW3001920112

What OpenQuestion holds

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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.