Literature DB >> 33752740

Revealing taxon-specific heavy metal-resistance mechanisms in denitrifying phosphorus removal sludge using genome-centric metaproteomics.

Yuan Lin1, Liye Wang1, Ke Xu1, Kan Li1, Hongqiang Ren2.   

Abstract

BACKGROUND: Denitrifying phosphorus removal sludge (DPRS) is widely adopted for nitrogen and phosphorus removal in wastewater treatment but faces threats from heavy metals. However, a lack of understanding of the taxon-specific heavy metal-resistance mechanisms hinders the targeted optimization of DPRS's robustness in nutrient removal.
RESULTS: We obtained 403 high- or medium-quality metagenome-assembled genomes from DPRS treated by elevating cadmium, nickel, and chromium pressure. Then, the proteomic responses of individual taxa under heavy metal pressures were characterized, with an emphasis on functions involving heavy metal resistance and maintenance of nutrient metabolism. When oxygen availability was constrained by high-concentration heavy metals, comammox Nitrospira overproduced highly oxygen-affinitive hemoglobin and electron-transporting cytochrome c-like proteins, underpinning its ability to enhance oxygen acquisition and utilization. In contrast, Nitrosomonas overexpressed ammonia monooxygenase and nitrite reductase to facilitate the partial nitrification and denitrification process for maintaining nitrogen removal. Comparisons between phosphorus-accumulating organisms (PAOs) demonstrated different heavy metal-resistance mechanisms adopted by Dechloromonas and Candidatus Accumulibacter, despite their high genomic similarities. In particular, Dechloromonas outcompeted the canonical PAO Candidatus Accumulibacter in synthesizing polyphosphate, a potential public good for heavy metal detoxification. The superiority of Dechloromonas in energy utilization, radical elimination, and damaged cell component repair also contributed to its dominance under heavy metal pressures. Moreover, the enrichment analysis revealed that functions involved in extracellular polymeric substance formation, siderophore activity, and heavy metal efflux were significantly overexpressed due to the related activities of specific taxa.
CONCLUSIONS: Our study demonstrates that heavy metal-resistance mechanisms within a multipartite community are highly heterogeneous between different taxa. These findings provide a fundamental understanding of how the heterogeneity of individual microorganisms contributes to the metabolic versatility and robustness of microbiomes inhabiting dynamic environments, which is vital for manipulating the adaptation of microbial assemblages under adverse environmental stimuli. Video abstract.

Entities:  

Keywords:  Heavy metal resistance; Metagenomics; Metaproteomics; Sludge

Mesh:

Substances:

Year:  2021        PMID: 33752740      PMCID: PMC7986553          DOI: 10.1186/s40168-021-01016-x

Source DB:  PubMed          Journal:  Microbiome        ISSN: 2049-2618            Impact factor:   14.650


  78 in total

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Journal:  Bioinformatics       Date:  2015-01-20       Impact factor: 6.937

2.  The long-term adaptation of bacterial communities in metal-contaminated sediments: a metaproteogenomic study.

Authors:  David C Gillan; Stéphanie Roosa; Benoit Kunath; Gabriel Billon; Ruddy Wattiez
Journal:  Environ Microbiol       Date:  2014-10-22       Impact factor: 5.491

3.  The Composition and Implications of Polyphosphate-Metal in Enhanced Biological Phosphorus Removal Systems.

Authors:  Yueyun Li; Sheikh Mokhlesur Rahman; Gungyu Li; William Fowle; Per Halkjær Nielsen; April Z Gu
Journal:  Environ Sci Technol       Date:  2019-01-25       Impact factor: 9.028

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Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
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5.  Truncated Hemoglobin O Carries an Autokinase Activity and Facilitates Adaptation of Mycobacterium tuberculosis Under Hypoxia.

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Journal:  Antioxid Redox Signal       Date:  2019-07-24       Impact factor: 8.401

6.  Thousands of microbial genomes shed light on interconnected biogeochemical processes in an aquifer system.

Authors:  Karthik Anantharaman; Christopher T Brown; Laura A Hug; Itai Sharon; Cindy J Castelle; Alexander J Probst; Brian C Thomas; Andrea Singh; Michael J Wilkins; Ulas Karaoz; Eoin L Brodie; Kenneth H Williams; Susan S Hubbard; Jillian F Banfield
Journal:  Nat Commun       Date:  2016-10-24       Impact factor: 14.919

7.  Culture-Dependent and -Independent Identification of Polyphosphate-Accumulating Dechloromonas spp. Predominating in a Full-Scale Oxidation Ditch Wastewater Treatment Plant.

Authors:  Mia Terashima; Ayano Yama; Megumi Sato; Isao Yumoto; Yoichi Kamagata; Souichiro Kato
Journal:  Microbes Environ       Date:  2016-11-19       Impact factor: 2.912

8.  MetaWRAP-a flexible pipeline for genome-resolved metagenomic data analysis.

Authors:  Gherman V Uritskiy; Jocelyne DiRuggiero; James Taylor
Journal:  Microbiome       Date:  2018-09-15       Impact factor: 14.650

9.  Exploring the effects of operational mode and microbial interactions on bacterial community assembly in a one-stage partial-nitritation anammox reactor using integrated multi-omics.

Authors:  Yulin Wang; Qigui Niu; Xu Zhang; Lei Liu; Yubo Wang; Yiqiang Chen; Mishty Negi; Daniel Figeys; Yu-You Li; Tong Zhang
Journal:  Microbiome       Date:  2019-08-28       Impact factor: 14.650

10.  High functional diversity among Nitrospira populations that dominate rotating biological contactor microbial communities in a municipal wastewater treatment plant.

Authors:  Emilie Spasov; Jackson M Tsuji; Laura A Hug; Andrew C Doxey; Laura A Sauder; Wayne J Parker; Josh D Neufeld
Journal:  ISME J       Date:  2020-04-24       Impact factor: 10.302

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  1 in total

1.  Ecological Insights Into Community Interactions, Assembly Processes and Function in the Denitrifying Phosphorus Removal Activated Sludge Driven by Phosphorus Sources.

Authors:  Lei Zheng; Xue Wang; Aizhong Ding; Dongdan Yuan; Qiuyang Tan; Yuzi Xing; En Xie
Journal:  Front Microbiol       Date:  2021-11-10       Impact factor: 5.640

  1 in total

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