{"title":"Molecular dialogue in legume-rhizobium symbiosis: Signaling mechanisms and genetic insights","authors":"Xiaopeng Li , Ruixue Xiao","doi":"10.1016/j.rhisph.2025.101034","DOIUrl":null,"url":null,"abstract":"<div><div>The symbiotic relationship between legumes and rhizobium has important potential for sustainable agricultural development, increasing crop yields and reducing nitrogen fertilizer dependence. Recent advancements in molecular biology have unraveled key signaling pathways and genetic elements that govern this symbiosis. Legume roots secrete flavonoids that trigger rhizobia to produce nodulation factors (NFs), initiating a complex signaling cascade leading to nodule formation. These nodules house bacteria that convert atmospheric nitrogen into ammonia, crucial for plant growth. Understanding and engineering these signaling pathways could enhance nitrogen fixation efficiency, reduce fertilizer dependence, and promote eco-friendly farming. This review synthesizes the past 25 years of research, highlighting breakthroughs in symbiotic signaling, transcriptional regulation, and plant immunity modulation during legume-rhizobium symbiosis. It also explores the potential for engineering nitrogen-fixing capabilities in both legume and non-legume plants, offering insights into future agricultural strategies that harness this symbiosis for enhanced sustainability and productivity.</div></div>","PeriodicalId":48589,"journal":{"name":"Rhizosphere","volume":"33 ","pages":"Article 101034"},"PeriodicalIF":3.4000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rhizosphere","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452219825000199","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The symbiotic relationship between legumes and rhizobium has important potential for sustainable agricultural development, increasing crop yields and reducing nitrogen fertilizer dependence. Recent advancements in molecular biology have unraveled key signaling pathways and genetic elements that govern this symbiosis. Legume roots secrete flavonoids that trigger rhizobia to produce nodulation factors (NFs), initiating a complex signaling cascade leading to nodule formation. These nodules house bacteria that convert atmospheric nitrogen into ammonia, crucial for plant growth. Understanding and engineering these signaling pathways could enhance nitrogen fixation efficiency, reduce fertilizer dependence, and promote eco-friendly farming. This review synthesizes the past 25 years of research, highlighting breakthroughs in symbiotic signaling, transcriptional regulation, and plant immunity modulation during legume-rhizobium symbiosis. It also explores the potential for engineering nitrogen-fixing capabilities in both legume and non-legume plants, offering insights into future agricultural strategies that harness this symbiosis for enhanced sustainability and productivity.
RhizosphereAgricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
5.70
自引率
8.10%
发文量
155
审稿时长
29 days
期刊介绍:
Rhizosphere aims to advance the frontier of our understanding of plant-soil interactions. Rhizosphere is a multidisciplinary journal that publishes research on the interactions between plant roots, soil organisms, nutrients, and water. Except carbon fixation by photosynthesis, plants obtain all other elements primarily from soil through roots.
We are beginning to understand how communications at the rhizosphere, with soil organisms and other plant species, affect root exudates and nutrient uptake. This rapidly evolving subject utilizes molecular biology and genomic tools, food web or community structure manipulations, high performance liquid chromatography, isotopic analysis, diverse spectroscopic analytics, tomography and other microscopy, complex statistical and modeling tools.