Evidence map›Paper›PMID 38922509›Full record

ArticlePlanta2024

Genome-wide screening and characterization of phospholipase A (PLA)-like genes in sorghum (Sorghum bicolor L.).

Vidhi J Sapara, Aishwarya R Shankhapal, Palakolanu Sudhakar Reddy

Abstract read
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In one paragraph

Article in Planta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. TheGenes · 2025
    Article
  4. Multi-Omics Analysis Reveals the Mechanism by WhichPlants (Basel, Switzerland) · 2024
    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.

Vidhi J Sapara *Cell Molecular Biology and Trait Engineering, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India.
Aishwarya R Shankhapal *Cell Molecular Biology and Trait Engineering, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India.
Palakolanu Sudhakar ReddyCell Molecular Biology and Trait Engineering, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502324, India. Sudhakarreddy.Palakolanu@icrisat.org.ORCID http://orcid.org/0000-0002-5341-187X

Funding

Department of Science and Technology, Government of India DST/INSPIRE Fellowship/IF190079
6 · The paper itself

Abstract

MAIN

conclusionThe characterisation of PLA genes in the sorghum genome using in-silico methods revealed their essential roles in cellular processes, providing a foundation for further detailed studies. Sorghum bicolor (L.) Moench is the fifth most cultivated crop worldwide, and it is used in many ways, but it has always gained less popularity due to the yield, pest, and environmental constraints. Improving genetic background and developing better varieties is crucial for better sorghum production in semi-arid tropical regions. This study focuses on the phospholipase A (PLA) family within sorghum, comprehensively characterising PLA genes and their expression across different tissues. The investigation identified 32 PLA genes in the sorghum genome, offering insights into their chromosomal localization, molecular weight, isoelectric point, and subcellular distribution through bioinformatics tools. PLA-like family genes are classified into three groups, namely patatin-related phospholipase A (pPLA), phospholipase A1 (PLA

Indexed as

Gene Expression Regulation, PlantGenome, PlantSorghumChromosomes, PlantPhospholipases APhylogenyPlant ProteinsPromoter Regions, GeneticPhospholipases APlant ProteinsBioinformatics toolsChromosomal localizationCis-motifGene expression studiesIn-silicoMetabolic processSorghum genome

Identifiers

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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.