Evidence map›Paper›PMID 33023467›Full record

ArticleBMC genomics2020

Identification of miRNA-eQTLs in maize mature leaf by GWAS.

Shu-Yun Chen, Mei-Hsiu Su, Karl A Kremling, Nicholas K Lepak, M Cinta Romay, Qi Sun, Peter J Bradbury, Edward S Buckler, Hsin-Mei Ku

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. 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
1.2field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Shu-Yun ChenDepartment of Life Science, National Cheng Kung University, Tainan, 701, Taiwan.
Mei-Hsiu SuAgricultural Biotechnology Research Center, Academia Sinica, Taipei, 115, Taiwan.
Karl A KremlingDepartment of Plant Breeding and Genetics, Cornell University, Ithaca, 14850, NY, USA.
Nicholas K LepakUnited States Department of Agriculture-Agricultural Research Service, Ithaca, NY, USA.
M Cinta RomayInstitute for Genomic Diversity, Cornell University, Ithaca, NY, USA.
Qi SunInstitute for Genomic Diversity, Cornell University, Ithaca, NY, USA.
Peter J BradburyUnited States Department of Agriculture-Agricultural Research Service, Ithaca, NY, USA.
Edward S BucklerDepartment of Plant Breeding and Genetics, Cornell University, Ithaca, 14850, NY, USA.
Hsin-Mei KuAdvanced Plant Biotechnology Center, National Chung Hsing University, No 145 Xingda Rd, South Dist, Taichung, 402, Taiwan. hmku@email.nchu.edu.tw.ORCID http://orcid.org/0000-0002-8952-1923
Agricultural Research Service · USCornell University · USAgricultural Biotechnology Research Center, Academia Sinica · TWNational Cheng Kung University · TWNational Chung Hsing University · TW

Funding

National Science Foundation Graduate Research Fellowship Programs DGE-1650441National Science Foundation Grants IOS-0922493National Science Foundation Grants IOS-1238014
6 · The paper itself

Abstract

backgroundMiRNAs play essential roles in plant development and response to biotic and abiotic stresses through interaction with their target genes. The expression level of miRNAs shows great variations among different plant accessions, developmental stages, and tissues. Little is known about the content within the plant genome contributing to the variations in plants. This study aims to identify miRNA expression-related quantitative trait loci (miR-QTLs) in the maize genome.

resultsThe miRNA expression level from next generation sequencing (NGS) small RNA libraries derived from mature leaf samples of the maize panel (200 maize lines) was estimated as phenotypes, and maize Hapmap v3.2.1 was chosen as the genotype for the genome-wide association study (GWAS). A total of four significant miR-eQTLs were identified contributing to miR156k-5p, miR159a-3p, miR390a-5p and miR396e-5p, and all of them are trans-eQTLs. In addition, a strong positive coexpression of miRNA was found among five miRNA families. Investigation of the effects of these miRNAs on the expression levels and target genes provided evidence that miRNAs control the expression of their targets by suppression and enhancement.

conclusionsThese identified significant miR-eQTLs contribute to the diversity of miRNA expression in the maize penal at the developmental stages of mature leaves in maize, and the positive and negative regulation between miRNA and its target genes has also been uncovered.

Indexed as

Quantitative Trait LociGene Expression Regulation, PlantGenome-Wide Association StudyMicroRNAsPlant LeavesZea maysMicroRNAsGWASHapmapMaizemiR-eQTLsmiRNAmiRNA target gene regulation

Identifiers

PMID33023467
PMCPMC7541240
OpenAlexW3092140322

What OpenQuestion holds

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LicenceCC BY
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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.