Evidence map›Paper›PMID 42720732›Full record

ArticleArchives of microbiology2026

Liana species and fertilization shape rhizosphere bacterial communities in abandoned iron mines.

Jianting Ouyang, Mingyu Xu, Beiling Sun, Mianyi Huang, Acong Chen

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Article in Archives of 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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0citing papers in PubMed
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1 · What the graph read from it

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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

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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.

Jianting OuyangCollege of Horticulture and Landscape Architecture, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, Guangdong, P. R. China.
Mingyu XuGuangzhou Vocational University of Science and Technology, Guangzhou, 510550, Guangdong, P. R. China. xumingyu@gkd.edu.cn.
Beiling SunKey Laboratory of Water Resources Utilization and Protection, Key Laboratory of Environmental Biotechnology, School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen, 361024, Fujian, P. R. China.
Mianyi HuangKey Laboratory of Water Resources Utilization and Protection, Key Laboratory of Environmental Biotechnology, School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen, 361024, Fujian, P. R. China.
Acong ChenKey Laboratory of Water Resources Utilization and Protection, Key Laboratory of Environmental Biotechnology, School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen, 361024, Fujian, P. R. China. chenacong@xmut.edu.cn.

Funding

Fujian Provincial Young and Middle-aged Teachers' Education and Research Project JAT251138Guangdong Philosophy and Social Science Planning Project GD26YYJ60High-Level Talent Program of Xiamen University of Technology YKJ24029R
6 · The paper itself

Abstract

Climbing plants, with their vigorous root systems, strong adaptability, large biomass, and wide range of uses, hold great potential in mine soil restoration. To explore the ecological restoration effects of different liana species, the Longtie mining area in Longmen County, Huizhou City, Guangdong Province, China, was selected as the study site. Six liana species-Canavalia gladiata, Benincasa hispida, Pueraria montana, Mucuna pruriens, Ipomoea quamoclit, and Ormosia semicastrata were subjected to two treatments: fertilization and non-fertilization. The soil microbial diversity and community structure of the two treatments were analyzed using 16 S rRNA gene sequencing. The results showed that fertilization altered the diversity, composition, and structure of the microbial community. In terms of microbial diversity, the fertilized treatment had 1179 more bacterial ASVs (Amplicon Sequence Variants) than the non-fertilized treatment. After fertilization, Pueraria montana showed higher microbial abundance and diversity, with both Chao1 and ACE values exceeding 1200. In terms of microbial composition at the family level, the fertilized treatment had the highest relative abundance of Gemmatimonadaceae (18.01%), while the non-fertilized treatment had the highest relative abundance of Nitrosomonadaceae (15.93%). At the genus level, Anaeromyxobacter was the dominant genus, and Ramlibacter was the secondary dominant genus. Regarding the microbial community structure, distinct microbial communities were observed across different liana species, revealing pronounced heterogeneity and community differentiation.

Indexed as

BacteriaFertilizersMicrobiotaRhizosphereSoil MicrobiologyBiodiversityChinaIronMiningPhylogenyRNA, Ribosomal, 16SFertilizersIronRNA, Ribosomal, 16SEcological restorationIron mineLianasSoil microorganism

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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.