Evidence map›Paper›PMID 42213269›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2026

Effects of different cultivation methods on microbial community structure of lettuce based on metagenomic analysis.

Xuemin Song, Dandan Cai, Xixi Yu, Xuan Zhang, Weiguang Zhu

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 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

What it found

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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

5 authors.

Xuemin SongSuqian Center for Disease Control and Prevention, Suqian, 223800, China.
Dandan CaiSuqian Center for Disease Control and Prevention, Suqian, 223800, China.
Xixi YuSuqian Center for Disease Control and Prevention, Suqian, 223800, China.
Xuan ZhangSuqian Center for Disease Control and Prevention, Suqian, 223800, China.
Weiguang ZhuSuqian Center for Disease Control and Prevention, Suqian, 223800, China. sqzwg@sina.com.ORCID http://orcid.org/0009-0006-0669-6864

Funding

Tasks of the Key Laboratory for Microbiological Food Safety Risk Monitoring in Jiangsu Province (2023-2025) Tasks of the Key Laboratory for Microbiological Food Safety Risk Monitoring in Jiangsu Province (2023-2025)Tianjin Municipal Transportation Commission Science and Technology Development Plan Project Z2021067
6 · The paper itself

Abstract

backgroundLettuce cultivation primarily involves two methods: traditional soil-based cultivation and modern hydroponic systems. However, research on the microbial community structure of lettuce under these distinct cultivation approache is still limited.

methodThis study employed whole-genome shotgun metagenomic sequencing (metagenomic sequencing) to analyze the impact of soil-based and hydroponic cultivation systems on the microbial community structure and functional profiles of lettuce.

resultsThe microbial diversity index of soil samples was significantly higher than that of hydroponic samples, indicating a more diverse and complex microbial community in the soil environment. Key functional phylum, including Acidobacteriota and Actinomycetota, were more abundant in soil samples, supporting nutrient cycling and plant-microbe interactions through pathways involved in carbon metabolism, organic matter decomposition, and antibiotic biosynthesis. In contrast, hydroponic samples were dominated by Cyanobacteriota and Verrucomicrobiota, with enrichment of pathways associated with stress response, including quorum sensing, ABC transporters, and oxidative phosphorylation. Although α-diversity did not differ significantly between cultivation systems, their microbial community composition and functional profiles were markedly distinct: soil-grown lettuce exhibited enrichment in sugar catabolism and synergistic prokaryotic metabolic functions, whereas hydroponic lettuce showed a predominance of energy metabolism and enrichment of viral-related pathways. Furthermore, differential distribution of antibiotic resistance genes underscores the role of environmental selective pressures in shaping microbial functional adaptations.

conclusionThis study demonstrates that different cultivation methods significantly influence the microbial community structure and function in lettuce. These findings provide a theoretical foundation for optimizing cultivation systems and offer scientific guidance for precisely modulating microbial functions to promote lettuce growth and health.

Indexed as

BacteriaLactucaMicrobiotaBiodiversityHydroponicsMetagenomeMetagenomicsSoil MicrobiologyHydroponicsLettuceMetagenomic sequencingSoil cultivationSoil microbial community

Identifiers

PMID42213269
PMCPMC13221559

What OpenQuestion holds

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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.