Evidence map›Paper›PMID 36538175›Full record

ArticleFunctional & integrative genomics2022

Genome-wide identification, characterization, and evolutionary analysis of NBS genes and their association with disease resistance in Musa spp.

Anuradha Chelliah, Chandrasekar Arumugam, Backiyarani Suthanthiram, Thangavelu Raman, Uma Subbaraya

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In one paragraph

Article in Functional & integrative genomics, 2022. 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
1.3field-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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Genome-wide characterization of 2OGD superfamily for mining of susceptibility factors responding to various biotic stresses inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2023
    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

5 authors at 1 institution in 1 country.

Anuradha Chelliah *ICAR-National Research Centre for Banana, Thogamalai Road, Thayanur Post, Tiruchirappalli - 620 102, Tamil Nadu, India. anuradha.chelliah@gmail.com.ORCID http://orcid.org/0000-0002-8534-9345
Chandrasekar Arumugam *ICAR-National Research Centre for Banana, Thogamalai Road, Thayanur Post, Tiruchirappalli - 620 102, Tamil Nadu, India.
Backiyarani SuthanthiramICAR-National Research Centre for Banana, Thogamalai Road, Thayanur Post, Tiruchirappalli - 620 102, Tamil Nadu, India.
Thangavelu RamanICAR-National Research Centre for Banana, Thogamalai Road, Thayanur Post, Tiruchirappalli - 620 102, Tamil Nadu, India.
Uma SubbarayaICAR-National Research Centre for Banana, Thogamalai Road, Thayanur Post, Tiruchirappalli - 620 102, Tamil Nadu, India.
National Research Centre for Banana · IN

Funding

Indian Council of Agricultural Research IXX14668
6 · The paper itself

Abstract

Banana is an important food crop that is susceptible to a wide range of pests and diseases that can reduce yield and quality. The primary objective of banana breeding programs is to increase disease resistance, which requires the identification of resistance (R) genes. Despite the fact that resistant sources have been identified in bananas, the genes, particularly the nucleotide-binding site (NBS) family, which play an important role in protecting plants against pathogens, have received little attention. As a result, this study included a thorough examination of the NBS disease resistance gene family's classification, phylogenetic analysis, genome organization, evolution, cis-elements, differential expression, regulation by microRNAs, and protein-protein interaction. A total of 116 and 43 putative NBS genes from M. acuminata and M. balbisiana, respectively, were identified and characterized, and were classified into seven sub-families. Structural analysis of NBS genes revealed the presence of signal peptides, their sub-cellular localization, molecular weight and pI. Eight commonly conserved motifs were found, and NBS genes were unevenly distributed across multiple chromosomes, with the majority of NBS genes being located in chr3 and chr1 of the A and B genomes, respectively. Tandem duplication occurrences have helped bananas' NBS genes spread throughout evolution. Transcriptome analysis of NBS genes revealed significant differences in expression between resistant and susceptible cultivars of fusarium wilt, eumusae leaf spot, root lesion nematode, and drought, implying that they can be used as candidate resistant genes. Ninety miRNAs were discovered to have targets in 104 NBS genes from the A genome, providing important insights into NBS gene expression regulation. Overall, this study offers a valuable genomic resource and understanding of the function and evolution of NBS genes in relation to rapidly evolving pathogens, as well as providing breeders with selection targets for fast-tracking breeding of banana varieties with more durable resistance to pathogens.

Indexed as

MusaNucleotidesBinding SitesDisease ResistancePhylogenyPlant BreedingNucleotidesA and B genomesBananaGenome-wide analysisNBSResistant gene

Identifiers

PMID36538175
OpenAlexW4312095251

What OpenQuestion holds

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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.