Evidence map›Paper›PMID 38773372›Full record

ArticleBMC genomics2024

In silico analysis identified bZIP transcription factors genes responsive to abiotic stress in Alfalfa (Medicago sativa L.).

Atit Parajuli, Bhabesh Borphukan, Karen A Sanguinet, Zhiwu Zhang

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Article in BMC genomics, 2024. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Evolutionary Characteristics and Expression Patterns of theCurrent issues in molecular biology · 2026
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4 · The record

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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

4 authors.

Atit ParajuliDepartment of Crop and Soil Science, Washington State University, 99164, Pullman, WA, USA.
Bhabesh BorphukanDepartment of Crop and Soil Science, Washington State University, 99164, Pullman, WA, USA.
Karen A SanguinetDepartment of Crop and Soil Science, Washington State University, 99164, Pullman, WA, USA. karen.sanguinet@wsu.edu.
Zhiwu ZhangDepartment of Crop and Soil Science, Washington State University, 99164, Pullman, WA, USA. zhiwu.zhang@wsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlfalfa (Medicago sativa L.) is the most cultivated forage legume around the world. Under a variety of growing conditions, forage yield in alfalfa is stymied by biotic and abiotic stresses including heat, salt, drought, and disease. Given the sessile nature of plants, they use strategies including, but not limited to, differential gene expression to respond to environmental cues. Transcription factors control the expression of genes that contribute to or enable tolerance and survival during periods of stress. Basic-leucine zipper (bZIP) transcription factors have been demonstrated to play a critical role in regulating plant growth and development as well as mediate the responses to abiotic stress in several species, including Arabidopsis thaliana, Oryza sativa, Lotus japonicus and Medicago truncatula. However, there is little information about bZIP transcription factors in cultivated alfalfa.

resultIn the present study, 237 bZIP genes were identified in alfalfa from publicly available sequencing data. Multiple sequence alignments showed the presence of intact bZIP motifs in the identified sequences. Based on previous phylogenetic analyses in A. thaliana, alfalfa bZIPs were similarly divided and fell into 10 groups. The physico-chemical properties, motif analysis and phylogenetic study of the alfalfa bZIPs revealed high specificity within groups. The differential expression of alfalfa bZIPs in a suite of tissues indicates that bZIP genes are specifically expressed at different developmental stages in alfalfa. Similarly, expression analysis in response to ABA, cold, drought and salt stresses, indicates that a subset of bZIP genes are also differentially expressed and likely play a role in abiotic stress signaling and/or tolerance. RT-qPCR analysis on selected genes further verified these differential expression patterns.

conclusionsTaken together, this work provides a framework for the future study of bZIPs in alfalfa and presents candidate bZIPs involved in stress-response signaling.

Indexed as

Basic-Leucine Zipper Transcription FactorsGene Expression Regulation, PlantMedicago sativaPhylogenyStress, PhysiologicalComputational BiologyComputer SimulationGene Expression ProfilingPlant ProteinsBasic-Leucine Zipper Transcription FactorsPlant ProteinsAbiotic stressAlfalfabZIP transcription factorExpression patternPhylogenetic analysis

Identifiers

PMID38773372
PMCPMC11106943

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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.