Evidence map›Paper›PMID 37133618›Full record

ArticleFunctional & integrative genomics2023

Alternative splicing shapes the transcriptome complexity in blackgram [Vigna mungo (L.) Hepper].

Anjan Hazra, Amita Pal, Anirban Kundu

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In one paragraph

Article in Functional & integrative genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

3 authors at 3 institutions in 1 country.

Anjan HazraAgricultural and Ecological Research Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata, 700108, India.
Amita PalDivision of Plant Biology, Bose Institute, Kolkata, 700091, India. amita@jcbose.ac.in.
Anirban KunduPlant Genomics and Bioinformatics Laboratory, P.G. Department of Botany, Ramakrishna Mission Vivekananda Centenary College (Autonomous), Rahara, Kolkata, 700118, India. discoveranirban@yahoo.co.in.
Bose Institute · INIndian Statistical Institute · INRamakrishna Mission Vivekananda Educational and Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vigna mungo, a highly consumed crop in the pan-Asian countries, is vulnerable to several biotic and abiotic stresses. Understanding the post-transcriptional gene regulatory cascades, especially alternative splicing (AS), may underpin large-scale genetic improvements to develop stress-resilient varieties. Herein, a transcriptome based approach was undertaken to decipher the genome-wide AS landscape and splicing dynamics in order to establish the intricacies of their functional interactions in various tissues and stresses. RNA sequencing followed by high-throughput computational analyses identified 54,526 AS events involving 15,506 AS genes that generated 57,405 transcripts isoforms. Enrichment analysis revealed their involvement in diverse regulatory functions and demonstrated that transcription factors are splicing-intensive, splice variants of which are expressed differentially across tissues and environmental cues. Increased expression of a splicing regulator NHP2L1/SNU13 was found to co-occur with lower intron retention events. The host transcriptome is significantly impacted by differential isoform expression of 1172 and 765 AS genes that resulted in 1227 (46.8% up and 53.2% downregulated) and 831 (47.5% up and 52.5% downregulated) transcript isoforms under viral pathogenesis and Fe

Indexed as

TranscriptomeVignaAlternative SplicingGene Expression ProfilingProtein IsoformsRNA SplicingProtein IsoformsAlternative splicingPost-transcriptional regulationRNA-seqSplicing factorsStressTranscriptomeVigna mungo

Identifiers

PMID37133618
OpenAlexW4367834658

What OpenQuestion holds

Textmetadata
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.