Evidence map›Paper›PMID 37408775›Full record

ArticleFrontiers in genetics2023

Identification, characterization, and validation of NBS-encoding genes in grass pea.

Alsamman M Alsamman, Khaled H Mousa, Ahmed E Nassar, Mostafa M Faheem, Khaled H Radwan, Monica H Adly, Ahmed Hussein, Tawffiq Istanbuli, Morad M Mokhtar, Tamer Ahmed Elakkad and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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  5. Genome-wide identification, and gene expression analysis of NBS-LRR domain containing R genes inPhysiology and molecular biology of plants : an international journal of functional plant 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

14 authors at 4 institutions in 2 countries.

Alsamman M AlsammanAgricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt.
Khaled H MousaInternational Center for Agricultural Research in the Dry Areas (ICARDA), Giza, Egypt.
Ahmed E NassarInternational Center for Agricultural Research in the Dry Areas (ICARDA), Giza, Egypt.
Mostafa M FaheemAgricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt.
Khaled H RadwanAgricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt.
Monica H AdlyAgricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt.
Ahmed HusseinAgricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt.
Tawffiq IstanbuliInternational Center for Agricultural Research in the Dry Areas (ICARDA), Terbol, Lebanon.
Morad M MokhtarAgricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt.
Tamer Ahmed ElakkadDepartment of Genetics and Genetic Engineering, Faculty of Agriculture at Moshtohor, Benha University, Benha, Egypt.
Zakaria KehelBiodiversity and Crop Improvement Program, International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco.
Aladdin HamwiehInternational Center for Agricultural Research in the Dry Areas (ICARDA), Giza, Egypt.
Mohamed AbdelsattarAgricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt.
Achraf El AllaliAfrican Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco.
Agricultural Genetic Engineering Research Institute · EGAgricultural Research Center · EGBenha University · EGUniversité Mohammed VI Polytechnique · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grass pea is a promising crop with the potential to provide food and fodder, but its genomics has not been adequately explored. Identifying genes for desirable traits, such as drought tolerance and disease resistance, is critical for improving the plant. Grass pea currently lacks known R-genes, including the nucleotide-binding site-leucine-rich repeat (NBS-LRR) gene family, which plays a key role in protecting the plant from biotic and abiotic stresses. In our study, we used the recently published grass pea genome and available transcriptomic data to identify 274 NBS-LRR genes. The evolutionary relationships between the classified genes on the reported plants and LsNBS revealed that 124 genes have TNL domains, while 150 genes have CNL domains. All genes contained exons, ranging from 1 to 7. Ten conserved motifs with lengths ranging from 16 to 30 amino acids were identified. We found TIR-domain-containing genes in 132 LsNBSs, with 63 TIR-1 and 69 TIR-2, and RX-CCLike in 84 LsNBSs. We also identified several popular motifs, including P-loop, Uup, kinase-GTPase, ABC, ChvD, CDC6, Rnase_H, Smc, CDC48, and SpoVK. According to the gene enrichment analysis, the identified genes undergo several biological processes such as plant defense, innate immunity, hydrolase activity, and DNA binding. In the upstream regions, 103 transcription factors were identified that govern the transcription of nearby genes affecting the plant excretion of salicylic acid, methyl jasmonate, ethylene, and abscisic acid. According to RNA-Seq expression analysis, 85% of the encoded genes have high expression levels. Nine LsNBS genes were selected for qPCR under salt stress conditions. The majority of the genes showed upregulation at 50 and 200

Indexed as

abiotic stressbiotic stressgene expressiongenome wide analysisgrass pea (Lathyrus sativus L)legumeNBSreal time—PCR

Identifiers

PMID37408775
PMCPMC10318170
OpenAlexW4381433030

What OpenQuestion holds

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LicenceCC BY
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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.