COMPARATIVE METAGENOMIC PROFILING OF MICROBIAL COMMUNITIES IN HUMAN-IMPACTED AND PRISTINE STREAM WATER IN OLUGBADE VILLAGE, ISEYIN, OYO STATE DOI Open Access
Busayo Olowe,

Olaniyi Raheem

Bacterial Empire, Год журнала: 2022, Номер unknown, С. e473 - e473

Опубликована: Май 25, 2022

Stream water, a major water source in rural communities, being impacted by human activities results to disturbance of the microbial ecosystem balance, pollution and impacts community health depending on such water. The study aimed compare metagenomic profiling communities human-impacted pristine stream Olugbade village, Oyo State, Nigeria. Human-impacted (sample A) B) areas were sampled following standard collection method. DNA extraction from samples was performed using CTAB method estimated through Qubit ds high sensitivity kit. Samples sequenced Sequel system PacBio (www.pacb.com). Raw subreads processed SMRTlink (v9.0) Circular Consensus Sequences (CCS) algorithm produce highly accurate reads (>QV40). These then vsearch (https://github.com/torognes/vsearch) taxonomic information determined based Qualitative Insights Into Microbial Ecology (QIMME2) version 2018.6.0. Results showed that organisms identified 100% bacteria where sample A had 8,198 B 9, 827 reads. distribution revealed 23 43 phyla, 52 109 classes, 91 170 orders, 108 212 families, 211 336 genus 277 455 species for respectively. there is statistical difference between (p-value < 0.05). Sample more bacterial than thereby, showing many naturally occurring are extinct or displaced due different anthropogenic there.

Язык: Английский

Mechanisms Driving Seasonal Succession and Community Assembly in Sediment Microbial Communities Across the Dali River Basin, the Loess Plateau, China DOI Creative Commons
Xin Chen, Jing Li,

Guoce Xu

и другие.

Microorganisms, Год журнала: 2025, Номер 13(2), С. 319 - 319

Опубликована: Фев. 1, 2025

Microorganisms are instrumental in river ecosystems and participate biogeochemical cycles. It is thought that dynamic hydrological processes rivers influence microbial community assembly, but the seasonal succession assembly of sediments on Loess Plateau remain unclear. This study used high-throughput sequencing technology (16S ITS) neutral model to analyze associated with communities Dali River, a tributary Yellow River Plateau. The results showed sediment bacterial fungal diversity indexes non-flood season were 1.03–3.15 times greater than those flood season. There obvious variations between seasons microorganisms. similarities among all, abundant, rare decreased as geographical distance increased. Proteobacteria (52.5–99.6%) Ascomycota (22.0–34.2%) primary phyla communities. Sediment ammonia nitrogen, water temperature, organic carbon significantly affected (p < 0.05) structure microorganism ecological networks for had complex topological parameters. was driven by deterministic processes, while dominated stochastic processes. These expanded understanding about characteristics provided insights into factors driving networks.

Язык: Английский

Процитировано

0

Microbial community dynamics in shallow-water grass-type lakes: Habitat succession of microbial ecological assembly and coexistence mechanisms DOI Creative Commons
Feng Chen, Junping Lu, Tingxi Liu

и другие.

Ecotoxicology and Environmental Safety, Год журнала: 2025, Номер 291, С. 117819 - 117819

Опубликована: Фев. 1, 2025

Aggregation and co-occurrence patterns of microbial communities are the key scientific issues in lake ecology. To explore mechanisms ecological assembly community succession this unique habitat, 16 samples were collected from eight sites Wuliangsuhai Lake. Second-generation DNA sequencing was applied to reveal spatial dynamics bacterial structure distribution across two environmental media nutrient-rich shallow grassland elucidate characteristics network. This study also examined effects filtering biological interactions on formation maintenance composition diversity. The results highlight habitat heterogeneity composition, with no discernible latitudinal diversity patterns. causal analysis identified electrical conductivity, pH, total nitrogen, phosphorus as primary factors driving changes water sediment grass-type lakes, TN being driver. CL500-3 a pollution-tolerant species aquatic environments. g__norank_f_Verrucomicrobiaceae exhibited significant distance decay pattern, higher turnover rate than sediment. Co-occurrence network revealed greater complexity stability communities, three potential keystone species, water. neutral null model indicated that more susceptible dispersal limitation, whereas complex increased role deterministic processes construction. proposed division plant regions freshwater lakes demonstrated different types, contributing comprehensive understanding shallow-water structure.

Язык: Английский

Процитировано

0

Dispersal limitation determines the ecological processes that regulate the seasonal assembly of bacterial communities in a subtropical river DOI Creative Commons

Aiping Zhu,

Zuobing Liang, Lei Gao

и другие.

Frontiers in Microbiology, Год журнала: 2024, Номер 15

Опубликована: Авг. 26, 2024

Bacteria play a crucial role in pollutant degradation, biogeochemical cycling, and energy flow within river ecosystems. However, the underlying mechanisms governing bacterial community assembly their response to environmental factors at seasonal scales subtropical rivers remain poorly understood. In this study, we conducted 16S rRNA gene amplicon sequencing on water samples from Liuxi River investigate composition, processes, co-occurrence relationships of communities during wet season dry season. The results demonstrated that differences hydrochemistry significantly influenced composition communities. A more heterogeneous structure increased alpha diversity were observed Water temperature emerged as primary driver for changes Dispersal limitation predominantly governed assembly, however, season, its contribution due decreased immigration rates. Co-occurrence network analysis reveals mutualism played prevailing shaping structure. Compared exhibited higher modularity, competition, keystone species resulting stable Although displayed distinct variations, Proteobacteria Actinobacteria consistently abundant maintaining both seasons. Our findings provide insights into how respond changes, uncovering rivers, which are effective management conservation riverine

Язык: Английский

Процитировано

2

Bacterial Communities From Two Freshwater Aquaculture Systems in Northern Germany DOI Creative Commons
Júlia Clols‐Fuentes, Julien A. Nguinkal, Patrick Unger

и другие.

Environmental Microbiology Reports, Год журнала: 2024, Номер 16(6)

Опубликована: Дек. 1, 2024

ABSTRACT The microbial communities in aquaculture systems are primarily affected by changes water quality, fish metabolism, feeding strategies and disease prevention treatments. Monitoring aquatic microbiomes related to activities is necessary improve management reduce the environmental impact of discharge. This study assessed effects within two farms on microbiome composition analysing entering leaving both systems. Additionally, pathogenic bacterial species associated with common diseases were identified. abundance, diversity identity microorganisms evaluated using 16S rRNA hypervariable gene region amplicon sequencing. Proteobacteria (38.2%) Bacteroidetes (31.3%) most abundant phyla all samples. Changes after passage through tanks observed several taxa, such as Nitrospirae, Chloroflexi, Deferribacteres Cyanobacteria. Flavobacterium sp. Pseudomonas predominant potential pathogens heterotrophic bacteria detected farms. Several chemolithotrophic archaea found natural reservoir used for activities, while generally dominated organisms.

Язык: Английский

Процитировано

2

Comparative genomic analyses of pathogenic bacteria and viruses and antimicrobial resistance genes in an urban transportation canal DOI
Krittayapong Jantharadej, Akechai Kongprajug, Wuttichai Mhuantong

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 848, С. 157652 - 157652

Опубликована: Июль 27, 2022

Язык: Английский

Процитировано

5

The microbial community and functional indicators response to flow restoration in gradient in a simulated water flume DOI Creative Commons
Wei Huang, Zhuowei Wang, Xiaobo Liu

и другие.

Frontiers in Microbiology, Год журнала: 2022, Номер 13

Опубликована: Ноя. 17, 2022

Flow reduction has greatly affected the river ecological systems, and it attracted much attention. However, less attention been paid to response flow restoration, especially restoration in gradient. regime of rivers may affect functional indicators microbial community structure. This study simulated flow-reduced reach by gradiently controlling water explores environmental structure flow. The results showed that gross primary productivity (GPP), ecosystem respiration rate (ER) some quality indices such as chemical oxygen demand, total nitrogen, phosphorus (TP), exhibited positive responses GPP ER increased 600.1% 500.2%, respectively. alpha diversity significantly with a gradient restoration. Thereinto, Shannon, Simpson, Chao1, Ace indices, respectively, 16.4%, 5.6%, 8.6%, 6.2%. Canonical correspondence analysis indicated flow, Dissolved TP were main influencing factors for changes bacterial Microbial composition present reveals variable is discharge, provides feasible scheme its

Язык: Английский

Процитировано

3

Exploring environment-specific regulation: Characterizing bacterioplankton community dynamics in a typical lake of Inner Mongolia, China DOI

Yujiao Shi,

Wenbao Li, Xin Guo

и другие.

Environmental Research, Год журнала: 2024, Номер 253, С. 119154 - 119154

Опубликована: Май 15, 2024

Язык: Английский

Процитировано

0

Integrating microbial profiling and machine learning for inference of drowning sites: a forensic investigation in the Northwest River DOI Creative Commons
Qin Su, Xiaofeng Zhang, Xiaohui Chen

и другие.

Microbiology Spectrum, Год журнала: 2024, Номер unknown

Опубликована: Дек. 9, 2024

ABSTRACT Drowning incidents present significant challenges for forensic investigators in determining the exact site of occurrence. Traditional methods often rely on physical evidence and circumstantial clues, but emerging field microbiology offers a promising avenue enhancing precision reliability inference. Our study investigates application microbiome analysis inferring drowning sites, focusing microbial diversity water samples lung tissues drowned animals from different sites Northwest River. We utilized 16S rDNA sequencing to analyze tissues, revealing distinct signatures associated with sites. findings highlight variations species richness across sampling points, indicating influence environmental factors community structure. Machine learning models trained data demonstrated high accuracy predicting cross-validation ranging 83.53% ± 3.99% 95.07% 3.17%. Notably, Gradient Boosting (GBM) method achieved classification 3.17% points at submersion time 1 day. Moreover, our cross-species inference results revealed that utilizing mice predict rabbits location W5 an 72.22%. In conclusion, underscores potential investigations incidents. By integrating traditional techniques, there is enhance scene inferences, thereby making substantial contributions case judicial trials. IMPORTANCE employing advanced techniques like profiling machine learning, aims which crucial both legal proceedings. analyzing animal sheds light how victim-related variables communities. The not only advance understanding also offer practical implications improving investigative cases drowning.

Язык: Английский

Процитировано

0

Growth substrates change the decomposition process of eelgrass in water bodies DOI Creative Commons

Wen Wang,

Enqi Liu, Chunzhen Fan

и другие.

Environmental Sciences Europe, Год журнала: 2024, Номер 36(1)

Опубликована: Дек. 21, 2024

Decomposition of submerged plants releases organic matter, nitrogen, and phosphorus into water bodies, generating an important impact on the aquatic ecosystem. This study explored influence growth substrate with different compositions decomposition process eelgrass (Vallisneria spinulosa Yan, V. Yan). The sediment + iron–carbon fillers system exhibited significantly lower concentrations total nitrogen (TN) (TP) in overlying than other systems, maximum values 5.68 7.05 mg/L, respectively. addition ceramic calcium nitrate promoted formation HCl-extracted (HCl–P) sediment, while increased content NaOH-extracted (NaOH–P). Three-dimensional fluorescence spectroscopy dissolved matter (DOM) showed that did not affect released during Yan. microbial community abundance each experimental group changed before after higher enrichment functional bacteria related to denitrification sulfate reduction. In contrast, a smaller change abundance, aerobic denitrifying bacteria. this paper, it was found had good adsorption effect purification as plants.

Язык: Английский

Процитировано

0

COMPARATIVE METAGENOMIC PROFILING OF MICROBIAL COMMUNITIES IN HUMAN-IMPACTED AND PRISTINE STREAM WATER IN OLUGBADE VILLAGE, ISEYIN, OYO STATE DOI Open Access
Busayo Olowe,

Olaniyi Raheem

Bacterial Empire, Год журнала: 2022, Номер unknown, С. e473 - e473

Опубликована: Май 25, 2022

Stream water, a major water source in rural communities, being impacted by human activities results to disturbance of the microbial ecosystem balance, pollution and impacts community health depending on such water. The study aimed compare metagenomic profiling communities human-impacted pristine stream Olugbade village, Oyo State, Nigeria. Human-impacted (sample A) B) areas were sampled following standard collection method. DNA extraction from samples was performed using CTAB method estimated through Qubit ds high sensitivity kit. Samples sequenced Sequel system PacBio (www.pacb.com). Raw subreads processed SMRTlink (v9.0) Circular Consensus Sequences (CCS) algorithm produce highly accurate reads (>QV40). These then vsearch (https://github.com/torognes/vsearch) taxonomic information determined based Qualitative Insights Into Microbial Ecology (QIMME2) version 2018.6.0. Results showed that organisms identified 100% bacteria where sample A had 8,198 B 9, 827 reads. distribution revealed 23 43 phyla, 52 109 classes, 91 170 orders, 108 212 families, 211 336 genus 277 455 species for respectively. there is statistical difference between (p-value < 0.05). Sample more bacterial than thereby, showing many naturally occurring are extinct or displaced due different anthropogenic there.

Язык: Английский

Процитировано

0