Evidence map›Paper›PMID 31239292›Full record

ArticleG3 (Bethesda, Md.)2019

Genome-Wide Profiling of Polyadenylation Events in Maize Using High-Throughput Transcriptomic Sequences.

Zehra Jafar, Salma Tariq, Irfan Sadiq, Tayyab Nawaz, Malik Nadeem Akhtar

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. bioRxiv : the preprint server for biology · 2024
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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

5 authors at 1 institution in 1 country.

Zehra JafarComputational Biology and Bioinformatics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad 45550, Pakistan.
Salma TariqComputational Biology and Bioinformatics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad 45550, Pakistan.
Irfan SadiqComputational Biology and Bioinformatics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad 45550, Pakistan.
Tayyab NawazDepartment of Mathematics, COMSATS University Islamabad, Islamabad 45550, Pakistan.
Malik Nadeem AkhtarComputational Biology and Bioinformatics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad 45550, Pakistan nadeemakhtar@comsats.edu.pk.
COMSATS University Islamabad · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyadenylation is an essential post-transcriptional modification of eukaryotic transcripts that plays critical role in transcript stability, localization, transport, and translational efficiency. About 70% genes in plants contain alternative polyadenylation (APA) sites. Despite availability of vast amount of sequencing data, to date, a comprehensive map of the polyadenylation events in maize is not available. Here, 9.48 billion RNA-Seq reads were analyzed to characterize 95,345 Poly(A) Clusters (PAC) in 23,705 (51%) maize genes. Of these, 76% were APA genes. However, most APA genes (55%) expressed a dominant PAC rather than favoring multiple PACs equally. The lincRNA genes with PACs were significantly longer in length than the genes without any PAC and about 48% genes had APA sites. Heterogeneity was observed in 52% of the PACs supporting the imprecise nature of the polyadenylation process. Genomic distribution revealed that the majority of the PACs (78%) were located in the genic regions. Unlike previous studies, large number of PACs were observed in the intergenic (n = 21,264), 5'-UTR (735), CDS (2,542), and the intronic regions (12,841). The CDS and introns with PACs were longer in length than without PACs, whereas intergenic PACs were more often associated with transcripts that lacked annotated 3'-UTRs. Nucleotide composition around PACs demonstrated AT-richness and the common upstream motif was AAUAAA, which is consistent with other plants. According to this study, only 2,830 genes still maintained the use of AAUAAA motif. This large-scale data provides useful insights about the gene expression regulation and could be utilized as evidence to validate the annotation of transcript ends.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingPolyadenylationTranscriptome3' Untranslated RegionsComputational BiologyGene OntologyGenome, PlantGenomicsRNA, Long NoncodingZea mays3' Untranslated RegionsRNA, Long Noncoding3′-UTR annotationsAlternative polyadenylation (APA)lncRNAnon-coding RNAZea mays

Identifiers

PMID31239292
PMCPMC6686930
OpenAlexW2955422819

What Socratic 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 Socratic graph.