Tolulope G. Mafa-Attoye , Dasiel Obregon , Micaela Tosi , Maren Oelbermann , Naresh V. Thevathasan , Kari E. Dunfield
{"title":"经过30年的农业河岸系统修复,细菌群落结构和恢复力部分恢复","authors":"Tolulope G. Mafa-Attoye , Dasiel Obregon , Micaela Tosi , Maren Oelbermann , Naresh V. Thevathasan , Kari E. Dunfield","doi":"10.1016/j.agee.2025.109813","DOIUrl":null,"url":null,"abstract":"<div><div>Soil microbiomes play critical roles in maintaining soil ecosystem functions, and therefore, they can be indicators of ecosystem recovery during the rehabilitation of degraded land. This study compared microbial community structure and co-occurrence patterns of potentially active bacterial communities in soils from a disturbance gradient: disturbed agricultural land (AGR), previously disturbed rehabilitated agroforest (RHF), and undisturbed natural forest (UNF). We quantified DNA and cDNA using qPCR and performed high-throughput amplicon sequencing to target potentially active bacterial communities. Bacterial transcript abundance was significantly higher in UNF compared to AGR, and the composition of potentially active bacterial communities varied significantly along the disturbance gradient. Soil temperature, nitrate, pH, carbon-to-nitrogen ratio, and total carbon were key soil properties driving differences in bacterial community composition. Key taxa such as <em>Burkholderiales, Haliangium,</em> and <em>Pseudomonas,</em> were differentially abundant along the disturbance gradient. Network robustness was used to evaluate network resilience and was highest in UNF, lowest in AGR, and RHF was intermediate, suggesting partial recovery of RHF following disturbance. Hub taxa from AGR were oligotrophs mainly from the phylum Actinomyceota, while forest soils hubs were from the phylum Pseudomonodata. UNF was the only site to have copiotrophic hub taxa such as <em>TRA3–20,</em> reflecting a functionally diverse network assembly in the nutrient-rich and less disturbed conditions. These findings show that after 30 years of rehabilitation the RHF has a similarity to UNF in terms of microbial abundance, composition, and soil characteristics, suggesting a recovery in ecosystem functionality at the site.</div></div>","PeriodicalId":7512,"journal":{"name":"Agriculture, Ecosystems & Environment","volume":"393 ","pages":"Article 109813"},"PeriodicalIF":6.4000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bacterial community structure and resilience are partially restored after 30 years of rehabilitation of an agricultural riparian system\",\"authors\":\"Tolulope G. Mafa-Attoye , Dasiel Obregon , Micaela Tosi , Maren Oelbermann , Naresh V. Thevathasan , Kari E. Dunfield\",\"doi\":\"10.1016/j.agee.2025.109813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Soil microbiomes play critical roles in maintaining soil ecosystem functions, and therefore, they can be indicators of ecosystem recovery during the rehabilitation of degraded land. This study compared microbial community structure and co-occurrence patterns of potentially active bacterial communities in soils from a disturbance gradient: disturbed agricultural land (AGR), previously disturbed rehabilitated agroforest (RHF), and undisturbed natural forest (UNF). We quantified DNA and cDNA using qPCR and performed high-throughput amplicon sequencing to target potentially active bacterial communities. Bacterial transcript abundance was significantly higher in UNF compared to AGR, and the composition of potentially active bacterial communities varied significantly along the disturbance gradient. Soil temperature, nitrate, pH, carbon-to-nitrogen ratio, and total carbon were key soil properties driving differences in bacterial community composition. Key taxa such as <em>Burkholderiales, Haliangium,</em> and <em>Pseudomonas,</em> were differentially abundant along the disturbance gradient. Network robustness was used to evaluate network resilience and was highest in UNF, lowest in AGR, and RHF was intermediate, suggesting partial recovery of RHF following disturbance. Hub taxa from AGR were oligotrophs mainly from the phylum Actinomyceota, while forest soils hubs were from the phylum Pseudomonodata. UNF was the only site to have copiotrophic hub taxa such as <em>TRA3–20,</em> reflecting a functionally diverse network assembly in the nutrient-rich and less disturbed conditions. These findings show that after 30 years of rehabilitation the RHF has a similarity to UNF in terms of microbial abundance, composition, and soil characteristics, suggesting a recovery in ecosystem functionality at the site.</div></div>\",\"PeriodicalId\":7512,\"journal\":{\"name\":\"Agriculture, Ecosystems & Environment\",\"volume\":\"393 \",\"pages\":\"Article 109813\"},\"PeriodicalIF\":6.4000,\"publicationDate\":\"2025-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agriculture, Ecosystems & Environment\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167880925003457\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agriculture, Ecosystems & Environment","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167880925003457","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Bacterial community structure and resilience are partially restored after 30 years of rehabilitation of an agricultural riparian system
Soil microbiomes play critical roles in maintaining soil ecosystem functions, and therefore, they can be indicators of ecosystem recovery during the rehabilitation of degraded land. This study compared microbial community structure and co-occurrence patterns of potentially active bacterial communities in soils from a disturbance gradient: disturbed agricultural land (AGR), previously disturbed rehabilitated agroforest (RHF), and undisturbed natural forest (UNF). We quantified DNA and cDNA using qPCR and performed high-throughput amplicon sequencing to target potentially active bacterial communities. Bacterial transcript abundance was significantly higher in UNF compared to AGR, and the composition of potentially active bacterial communities varied significantly along the disturbance gradient. Soil temperature, nitrate, pH, carbon-to-nitrogen ratio, and total carbon were key soil properties driving differences in bacterial community composition. Key taxa such as Burkholderiales, Haliangium, and Pseudomonas, were differentially abundant along the disturbance gradient. Network robustness was used to evaluate network resilience and was highest in UNF, lowest in AGR, and RHF was intermediate, suggesting partial recovery of RHF following disturbance. Hub taxa from AGR were oligotrophs mainly from the phylum Actinomyceota, while forest soils hubs were from the phylum Pseudomonodata. UNF was the only site to have copiotrophic hub taxa such as TRA3–20, reflecting a functionally diverse network assembly in the nutrient-rich and less disturbed conditions. These findings show that after 30 years of rehabilitation the RHF has a similarity to UNF in terms of microbial abundance, composition, and soil characteristics, suggesting a recovery in ecosystem functionality at the site.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.