Evidence map›Paper›PMID 33453070›Full record

ArticleThe New phytologist2021

Genome-wide discovery of natural variation in pre-mRNA splicing and prioritising causal alternative splicing to salt stress response in rice.

Huihui Yu, Qian Du, Malachy Campbell, Bin Yu, Harkamal Walia, Chi Zhang

Open access · bronzeAbstract read
In one paragraph

Article in The New phytologist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.1field-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

30 citing papers in PubMed, 61 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

6 authors at 1 institution in 1 country.

Huihui YuSchool of Biological Sciences, University of Nebraska, Lincoln, NE, 68588, USA.ORCID 0000-0003-2725-1937
Qian DuSchool of Biological Sciences, University of Nebraska, Lincoln, NE, 68588, USA.ORCID 0000-0003-3864-8745
Malachy CampbellDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, 68583, USA.ORCID 0000-0002-8257-3595
Bin YuSchool of Biological Sciences, University of Nebraska, Lincoln, NE, 68588, USA.ORCID 0000-0002-4763-177X
Harkamal WaliaDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, 68583, USA.ORCID 0000-0002-9712-5824
Chi ZhangSchool of Biological Sciences, University of Nebraska, Lincoln, NE, 68588, USA.ORCID 0000-0002-1827-8137
University of Nebraska–Lincoln · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre-mRNA splicing is an essential step for the regulation of gene expression. In order to specifically capture splicing variants in plants for genome-wide association studies (GWAS), we developed a software tool to quantify and visualise Variations of Splicing in Population (VaSP). VaSP can quantify splicing variants from short-read RNA-seq datasets and discover genotype-specific splicing (GSS) events, which can be used to prioritise causal pre-mRNA splicing events in GWAS. We applied our method to an RNA-seq dataset with 328 samples from 82 genotypes from a rice diversity panel exposed to optimal and saline growing conditions. In total, 764 significant GSS events were identified in salt stress conditions. GSS events were used as markers for a GWAS with the shoot Na

Indexed as

Alternative SplicingOryzaGenome-Wide Association StudyRNA PrecursorsSalt StressRNA Precursorsalternative splicing (AS)genotype-specific RNA splicing (GSS)prioritisationrice (Oryza sativa)salt stresssplice site mutationsplicing quantitative trait locus (sQTL)

Identifiers

PMID33453070
PMCPMC8048671
OpenAlexW3122411075

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.