Evidence map›Paper›PMID 42021149›Full record

ArticleBMC plant biology2026

Compartment-specific assembly and genotype-associated differentiation of root microbiomes in saline-alkali-sensitive and -tolerant maize inbred lines.

Run-Ze Sun, Xiao-Qiang Liu, Zhao-Lin Yang, Xiao-Gang Liu, Hong-Wu Wang, Xin Deng

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Run-Ze SunState Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China. sunrunze@ibcas.ac.cn.ORCID http://orcid.org/0000-0003-2654-3954
Xiao-Qiang LiuState Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Zhao-Lin YangState Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Xiao-Gang LiuNational Engineering Research Center of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Hong-Wu WangNational Engineering Research Center of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xin DengState Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China. deng@ibcas.ac.cn.ORCID http://orcid.org/0000-0002-6075-2429

Funding

International Partnership Program of the Chinese Academy of Sciences for Grand Challenges 063GJHZ2025027GCStrategic Priority Research Program of the Chinese Academy of Sciences XDA 26030201
6 · The paper itself

Abstract

backgroundPlant-associated microorganisms can enhance crop growth and resilience to environmental stressors. Maize (Zea mays L.) selectively recruits beneficial microbes under saline–alkali stress; however, the interplay between maize genotypic variation and microbial community dynamics remains poorly understood. Here, we compared the structure, diversity, and functional potential of root-associated microbial communities across eight maize inbred lines differing in saline–alkali tolerance.

resultsCompared with the saline–alkali-sensitive lines, the saline–alkali-tolerant lines exhibited significantly higher plant biomass and less leaf and root damage. Microbial communities in tolerant lines exhibited greater diversity and more complex co-occurrence networks, showing inferred functional enrichment in energy metabolism and antioxidant pathways. Genotype-specific recruitment of the beneficial bacteria (Luteolibacter, Agromyces, and Luteimonas) and selective enrichment of Ascomycota and putative endomycorrhizal fungi across the rhizosphere–root interface could collectively enhance host tolerance through improving nutrient mobilization, pathogen resistance, and stress mitigation. Moreover, we uncovered significant cross-compartmental co-occurrence patterns within and between bacterial and fungal communities, and revealed that saline–alkali-tolerant maize genotypes recruit functionally complementary microbiomes along the soil–root continuum. Aboveground traits appeared to shape community structure, whereas root endophytic bacteria were predicted to be linked to soil salinity, and fungi were associated with host plant stress tolerance.

conclusionsThese findings advance our understanding of genotype-dependent plant–microbe interactions under saline–alkali stress and provide actionable targets for the development of microbial inoculants for sustainable agriculture.

Indexed as

MicrobiotaPlant RootsZea maysBacteriaGenotypeInbred lineRoot-associated microbiomeSaline–alkali stressSalt toleranceZea mays L.

Identifiers

PMID42021149
PMCPMC13235018

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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.