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Gospodaryov DV. Alternative NADH dehydrogenase: A complex I backup, a drug target, and a tool for mitochondrial gene therapy. BIOCHIMICA ET BIOPHYSICA ACTA. BIOENERGETICS 2025; 1866:149529. [PMID: 39615731 DOI: 10.1016/j.bbabio.2024.149529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 11/24/2024] [Accepted: 11/26/2024] [Indexed: 12/06/2024]
Abstract
Alternative NADH dehydrogenase, also known as type II NADH dehydrogenase (NDH-2), catalyzes the same redox reaction as mitochondrial respiratory chain complex I. Specifically, it oxidizes reduced nicotinamide adenine dinucleotide (NADH) while simultaneously reducing ubiquinone to ubiquinol. However, unlike complex I, this enzyme is non-proton pumping, comprises of a single subunit, and is resistant to rotenone. Initially identified in bacteria, fungi and plants, NDH-2 was subsequently discovered in protists and certain animal taxa including sea squirts. The gene coding for NDH-2 is also present in the genomes of some annelids, tardigrades, and crustaceans. For over two decades, NDH-2 has been investigated as a potential substitute for defective complex I. In model organisms, NDH-2 has been shown to ameliorate a broad spectrum of conditions associated with complex I malfunction, including symptoms of Parkinson's disease. Recently, lifespan extension has been observed in animals expressing NDH-2 in a heterologous manner. A variety of mechanisms have been put forward by which NDH-2 may extend lifespan. Such mechanisms include the activation of pro-longevity pathways through modulation of the NAD+/NADH ratio, decreasing production of reactive oxygen species (ROS) in mitochondria, or then through moderate increases in ROS production followed by activation of defense pathways (mitohormesis). This review gives an overview of the latest research on NDH-2, including the structural peculiarities of NDH-2, its inhibitors, its role in the pathogenicity of mycobacteria and apicomplexan parasites, and its function in bacteria, fungi, and animals.
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Affiliation(s)
- Dmytro V Gospodaryov
- Department of Biochemistry and Biotechnology, Vasyl Stefanyk Precarpathian National University, 57 Shevchenka, 76018, Ivano-Frankivsk, Ukraine.
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Martínez A, Bonaglia S, Di Domenico M, Fonseca G, Ingels J, Jörger KM, Laumer C, Leasi F, Zeppilli D, Baldrighi E, Bik H, Cepeda D, Curini-Galletti M, Cutter AD, Dos Santos G, Fattorini S, Frisch D, Gollner S, Jondelius U, Kerbl A, Kocot KM, Majdi N, Mammola S, Martín-Durán JM, Menegotto A, Montagna PA, Nascimento FJA, Puillandre N, Rognant A, Sánchez N, Santos IR, Schmidt-Rhaesa A, Schratzberger M, Semprucci F, Shimabukuro M, Sommerfield PJ, Struck TH, Sørensen MV, Wallberg A, Worsaae K, Yamasaki H, Fontaneto D. Fundamental questions in meiofauna research highlight how small but ubiquitous animals can improve our understanding of Nature. Commun Biol 2025; 8:449. [PMID: 40097602 PMCID: PMC11914145 DOI: 10.1038/s42003-025-07888-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Accepted: 03/05/2025] [Indexed: 03/19/2025] Open
Affiliation(s)
- Alejandro Martínez
- Molecular Ecology Group (MEG), Water Research Institute (CNR-IRSA), National Research Council, 28922, Verbania Pallanza, Italy.
| | - Stefano Bonaglia
- Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Maikon Di Domenico
- Center for Marine Studies (CEM), Federal University of Paraná (UFPR), Pontal do Paraná, Paraná, Brazil
| | - Gustavo Fonseca
- Marine Science Institute, Federal University of São Paulo, Santos, Brazil
| | - Jeroen Ingels
- National Institute of Water and Atmospheric Research, 301 Evans Bay Parade, Hataitai, 6021, Wellington, New Zealand
| | | | | | - Francesca Leasi
- Department of Biology, Geology, and Environmental Science, University of Tennessee at Chattanooga, Chattanooga, TN, USA
| | - Daniela Zeppilli
- UMR6197 Biologie et Écologie des Ecosystèmes Marins Profonds, University Brest, CNRS, Ifremer, 29280, Plouzané, France
| | - Elisa Baldrighi
- Department of Biology, The University of Nevada, Reno, NV, USA
| | - Holly Bik
- Department of Marine Science & Institute of Bioinformatics, University of Georgia, Athens, GA, USA
| | - Diego Cepeda
- Department of Life Sciences, University of Alcalá (UAH), Ctra. Madrid-Barcelona Km.33, 600. 28805 Alcalá de Henares, Madrid, Spain
| | - Marco Curini-Galletti
- Department of Veterinary Medicine, University of Sassari, Sassari, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
| | - Asher D Cutter
- Department of Ecology & Evolutionary Biology. University of Toronto, Toronto, ON, M5S3B2, Canada
| | - Giovanni Dos Santos
- Zoology Department, Federal University of Pernambuco, 50670-901, Recife-PE, Brazil
| | - Simone Fattorini
- Department of Life, Health & Environmental Sciences, University of L'Aquila, Via Vetoio - Coppito, 67100, L'Aquila, Italy
| | - Dagmar Frisch
- Department of Evolutionary and Integrative Ecology, IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Sabine Gollner
- Department of Ocean Systems (OCS), Royal Netherlands Institute for Sea Research (NIOZ), Landsdiep 4, 1797 SZ 't Horntje, Texel, The Netherlands
| | - Ulf Jondelius
- Swedish Museum of Natural History, Department of Zoology, POB 50007, SE-104 05, Stockholm, Sweden
| | - Alexandra Kerbl
- Department for Evolutionary Neurobiology, Centre for Organismal Studies, University Heidelberg. Im Neuenheimer Feld 230, 69120, Heidelberg, Germany
| | - Kevin M Kocot
- Department of Biological Sciences, University of Alabama, Tuscaloosa, AL, USA
| | - Nabil Majdi
- Réserve Naturelle Nationale de la Forêt de la Massane, Sorbonne Université, UPMC Université Paris 06, Observatoire Océanologique de Banyuls, 66650, Banyuls-sur-Mer, France
| | - Stefano Mammola
- Molecular Ecology Group (MEG), Water Research Institute (CNR-IRSA), National Research Council, 28922, Verbania Pallanza, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
- Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of Helsinki, Helsinki, Finland
| | - José M Martín-Durán
- School of Biological and Behavioural Sciences. Queen Mary University of London. Mile End Road, E1 4NS, London, UK
| | - André Menegotto
- Department of Ecology, Research Centre for Biodiversity and Global Change, Autonomous University of Madrid (CIBC-UAM), C/ Darwin 2, 28049, Madrid, Spain
- Terrestrial Ecology Group (TEG-UAM), Department of Ecology, Autonomous University of Madrid, 28049, Madrid, Spain
- Department of Ecology, ICB, Federal University of Goiás, Goiânia, 74690-900, Brazil
| | - Paul A Montagna
- Harte Research Institute, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA
| | | | - Nicolas Puillandre
- Institut Systématique Evolution Biodiversité (ISYEB), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, 57 rue Cuvier, CP51, Paris, France
| | - Anne Rognant
- Océanopolis. Port de Plaisance du Moulin blanc. B.P. 91039. Brest Cedex 1, Brest, 29210, France
| | - Nuria Sánchez
- Facultad de Ciencias Biológicas, Departamento de Biodiversidad, Ecología y Evolución José Antonio Novais, 12. Planta 10. 28040 Madrid, Spain. Universidad Complutense de Madrid, Madrid, Spain
| | - Isaac R Santos
- Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| | | | | | - Federica Semprucci
- Dipartimento di Scienze Biomolecolari., Università degli Studi di Urbino Carlo Bo, Marche, Italy
| | - Mauricio Shimabukuro
- Universidade Federal do Rio Grande (FURG) - Instituto de Oceanografia, Rio Grande, Brazil
| | | | - Torsten H Struck
- Natural History Museum, University of Oslo, 1172, Blindern, 0318, Oslo, Norway
| | - Martin V Sørensen
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Andreas Wallberg
- Department of Medical Biochemistry and Microbiology, Uppsala University; Husargatan 3, 751 23, Uppsala, Sweden
| | - Katrine Worsaae
- Marine Biological Section, Department of Biology, University of Copenhagen, Universitetsparken 4, 2100, Copenhagen, Denmark
| | | | - Diego Fontaneto
- Molecular Ecology Group (MEG), Water Research Institute (CNR-IRSA), National Research Council, 28922, Verbania Pallanza, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
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Xiao X, Zhao W, Song Z, Qi Q, Wang B, Zhu J, Lin J, Wang J, Hu A, Huang S, Wang Y, Chen J, Fang C, Ji Q, Zhang N, Meng L, Wei X, Chen C, Cai S, Chen S, Ding K, Li D, Liu S, Song T, Tian L, Zhang H, Zhang Y, Xu S, Chen J, Chen H, Cen Q, Jiang F, Hu G, Tang C, Guo W, Wang X, Zhan L, Fan J, Wang J, Zhou C, Li L, Lv Z, Hu Y, Lin X, Mai G, Luo L, Yang T, Wang W, Kristiansen K, Chen L, Yang H, Ni M, Gu Y, Mu F, Yang Y, Zhou J, Wang J, Zhang WJ, Han M, Xu X, Liu S. Microbial ecosystems and ecological driving forces in the deepest ocean sediments. Cell 2025; 188:1363-1377.e9. [PMID: 40054447 DOI: 10.1016/j.cell.2024.12.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 08/18/2024] [Accepted: 12/25/2024] [Indexed: 05/13/2025]
Abstract
Systematic exploration of the hadal zone, Earth's deepest oceanic realm, has historically faced technical limitations. Here, we collected 1,648 sediment samples at 6-11 km in the Mariana Trench, Yap Trench, and Philippine Basin for the Mariana Trench Environment and Ecology Research (MEER) project. Metagenomic and 16S rRNA gene amplicon sequencing generated the 92-Tbp MEER dataset, comprising 7,564 species (89.4% unreported), indicating high taxonomic novelty. Unlike in reported environments, neutral drift played a minimal role, while homogeneous selection (HoS, 50.5%) and dispersal limitation (DL, 43.8%) emerged as dominant ecological drivers. HoS favored streamlined genomes with key functions for hadal adaptation, e.g., aromatic compound utilization (oligotrophic adaptation) and antioxidation (high-pressure adaptation). Conversely, DL promoted versatile metabolism with larger genomes. These findings indicated that environmental factors drive the high taxonomic novelty in the hadal zone, advancing our understanding of the ecological mechanisms governing microbial ecosystems in such an extreme oceanic environment.
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Affiliation(s)
- Xiang Xiao
- State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Weishu Zhao
- State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Zewei Song
- BGI Research, Sanya 572025, China; BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Environmental Microbial Genomics and Application, BGI Research, Shenzhen 518083, China
| | - Qi Qi
- State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Bo Wang
- China National GeneBank, BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Environmental Microbial Genomics and Application, BGI Research, Shenzhen 518083, China
| | - Jiahui Zhu
- BGI Research, Sanya 572025, China; BGI Research, Shenzhen 518083, China
| | - James Lin
- Center for High Performance Computing, Shanghai Jiao Tong University, Shanghai, China
| | - Jing Wang
- State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China; School of Oceanography, Shanghai Jiao Tong University, Shanghai, China; Shanghai Jiao Tong University Hainan Research Institute, Sanya 572025, China
| | - Aoran Hu
- State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Shanshan Huang
- State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China; Shanghai Jiao Tong University Hainan Research Institute, Sanya 572025, China
| | - Yinzhao Wang
- State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jianwei Chen
- BGI Research, Qingdao 266555, China; Institute of Metagenomics, Qingdao-Europe Advance Institute for Life Sciences, BGI Research, Qingdao 266555, China; Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Chao Fang
- BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Environmental Microbial Genomics and Application, BGI Research, Shenzhen 518083, China
| | | | | | | | - Xiaofeng Wei
- China National GeneBank, BGI Research, Shenzhen 518083, China; Genomics Data Center of Guangdong Province, BGI Research, Shenzhen 518083, China
| | - Chuanxu Chen
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Shanya Cai
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Shun Chen
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Kang Ding
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Dong Li
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Shuangquan Liu
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Taoran Song
- College of Marine Science and Technology, Hainan Tropical Ocean University, Sanya 572000, China
| | - Liyang Tian
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
| | - Haibin Zhang
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China; Institution of Deep-Sea Life Sciences, IDSSE-BGI, Hainan Deep-sea Technology Laboratory, Sanya, Hainan, China
| | - Yu Zhang
- School of Oceanography, Shanghai Jiao Tong University, Shanghai, China
| | - Shiyu Xu
- MGI Tech, Shenzhen 518083, China
| | - Jiayu Chen
- China National GeneBank, BGI Research, Shenzhen 518083, China
| | | | - Qian Cen
- China National GeneBank, BGI Research, Shenzhen 518083, China
| | - Fangfang Jiang
- China National GeneBank, BGI Research, Shenzhen 518083, China
| | - Guohai Hu
- China National GeneBank, BGI Research, Shenzhen 518083, China; Shenzhen Key Laboratory of Environmental Microbial Genomics and Application, BGI Research, Shenzhen 518083, China
| | | | - Wu Guo
- Center for High Performance Computing, Shanghai Jiao Tong University, Shanghai, China
| | | | | | - Jie Fan
- BGI Research, Qingdao 266555, China
| | - Jun Wang
- BGI Research, Sanya 572025, China
| | | | - Liuyang Li
- State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhenbo Lv
- State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yaoxun Hu
- State Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | | | - Guoqiang Mai
- China National GeneBank, BGI Research, Shenzhen 518083, China
| | - Linlin Luo
- China National GeneBank, BGI Research, Shenzhen 518083, China
| | - Tao Yang
- China National GeneBank, BGI Research, Shenzhen 518083, China; BGI, Shenzhen 518083, China
| | - Weiwen Wang
- China National GeneBank, BGI Research, Shenzhen 518083, China; BGI, Shenzhen 518083, China
| | - Karsten Kristiansen
- BGI Research, Shenzhen 518083, China; Institute of Metagenomics, Qingdao-Europe Advance Institute for Life Sciences, BGI Research, Qingdao 266555, China; Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Liqun Chen
- China National GeneBank, BGI Research, Shenzhen 518083, China
| | | | - Ming Ni
- MGI Tech, Shenzhen 518083, China
| | - Ying Gu
- BGI Research, Shenzhen 518083, China
| | - Feng Mu
- MGI Tech, Shenzhen 518083, China
| | - Yunfeng Yang
- Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Jizhong Zhou
- Institute for Environmental Genomics, University of Oklahoma, Norman, OK 73019, USA; School of Biological Sciences, University of Oklahoma, Norman, OK 73019, USA; School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK 73019, USA; School of Computer Sciences, University of Oklahoma, Norman, OK 73019, USA; Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | | | - Wei-Jia Zhang
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China; Institution of Deep-Sea Life Sciences, IDSSE-BGI, Hainan Deep-sea Technology Laboratory, Sanya, Hainan, China.
| | - Mo Han
- BGI Research, Sanya 572025, China; BGI Research, Shenzhen 518083, China; Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark; Shenzhen Key Laboratory of Environmental Microbial Genomics and Application, BGI Research, Shenzhen 518083, China.
| | - Xun Xu
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen 518083, China.
| | - Shanshan Liu
- BGI Research, Qingdao 266555, China; MGI Tech, Shenzhen 518083, China; Shenzhen Key Laboratory of Marine Genomics, BGI Research, Shenzhen 518083, China; Institution of Deep-Sea Life Sciences, IDSSE-BGI, Hainan Deep-sea Technology Laboratory, Sanya, Hainan, China.
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Romanelli-Cedrez L, Vairoletti F, Salinas G. Rhodoquinone-dependent electron transport chain is essential for Caenorhabditis elegans survival in hydrogen sulfide environments. J Biol Chem 2024; 300:107708. [PMID: 39178951 PMCID: PMC11422605 DOI: 10.1016/j.jbc.2024.107708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 07/29/2024] [Accepted: 08/14/2024] [Indexed: 08/26/2024] Open
Abstract
Hydrogen sulfide (H2S) has traditionally been considered an environmental toxin for animal lineages; yet, it plays a signaling role in various processes at low concentrations. Mechanisms controlling H2S in animals, especially in sulfide-rich environments, are not fully understood. The main detoxification pathway involves the conversion of H2S into less harmful forms, through a mitochondrial oxidation pathway. The first step of this pathway oxidizes sulfide and reduces ubiquinone (UQ) through sulfide-quinone oxidoreductase (SQRD/SQOR). Because H2S inhibits cytochrome oxidase and hence UQ regeneration, this pathway becomes compromised at high H2S concentrations. The free-living nematode Caenorhabditis elegans feeds on bacteria and can face high sulfide concentrations in its natural environment. This organism has an alternative ETC that uses rhodoquinone (RQ) as the lipidic electron transporter and fumarate as the final electron acceptor. In this study, we demonstrate that RQ is essential for survival in sulfide. RQ-less animals (kynu-1 and coq-2e KO) cannot survive high H2S concentrations, while UQ-less animals (clk-1 and coq-2a KO) exhibit recovery, even when provided with a UQ-deficient diet. Our findings highlight that sqrd-1 uses both benzoquinones and that RQ-dependent ETC confers a key advantage (RQ regeneration) over UQ in sulfide-rich conditions. C. elegans also faces cyanide, another cytochrome oxidase inhibitor, whose detoxification leads to H2S production, via cysl-2. Our study reveals that RQ delays killing by the HCN-producing bacteria Pseudomonas aeruginosa PAO1. These results underscore the fundamental role that RQ-dependent ETC serves as a biochemical adaptation to H2S environments, and to pathogenic bacteria producing cyanide and H2S toxins.
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Affiliation(s)
| | - Franco Vairoletti
- Worm Biology Lab, Institut Pasteur de Montevideo, Montevideo, Uruguay; Laboratorio de Química Farmacéutica, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Montevideo, Uruguay
| | - Gustavo Salinas
- Worm Biology Lab, Institut Pasteur de Montevideo, Montevideo, Uruguay; Departamento de Biociencias, Facultad de Química, Universidad de la República, Montevideo, Uruguay.
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Mohammad DA, Al-Farga A, Sami M. Experimental study of organic enrichment on meiofaunal diversity. Sci Rep 2024; 14:10681. [PMID: 38724542 PMCID: PMC11082245 DOI: 10.1038/s41598-024-60690-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/26/2024] [Indexed: 05/12/2024] Open
Abstract
The organic enrichment effects on the meiofauna and nematofauna were assessed for field sediment and other experimental ones enriched with organic matters conducted in the laboratory for 4 weeks. Also, dissolved oxygen (DO) and pH were monitored for each one. The abundance and diversity of meiofaunal groups and nematofauna varied. Strong significant correlations were found between DO and the studied items. Nematoda was the most abundant group in the field sediment and other experimental ones; their counts increased with the increase in organic enrichments and were dominated by deposit feeders. Amphipoda, Ostracoda and predator/omnivore nematodes disappeared in highly organic-enriched sediments. Changes in DO and organic enrichments might be the more attributable reasons for the alteration of the meiobenthic assemblages. The generic compositions of Nematoda provide a good indicator for environmental alterations.
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Affiliation(s)
- Deyaaedin A Mohammad
- Department of Marine Science, Faculty of Science, Suez Canal University, Ismailia, Egypt
| | - Ammar Al-Farga
- Department of Biochemistry, Faculty of Science, University of Jeddah, Jeddah, Saudi Arabia
| | - Mahmoud Sami
- Department of Marine Science, Faculty of Science, Suez Canal University, Ismailia, Egypt.
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Li S, Nilsson E, Seidel L, Ketzer M, Forsman A, Dopson M, Hylander S. Baltic Sea coastal sediment-bound eukaryotes have increased year-round activities under predicted climate change related warming. Front Microbiol 2024; 15:1369102. [PMID: 38596378 PMCID: PMC11002985 DOI: 10.3389/fmicb.2024.1369102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 03/05/2024] [Indexed: 04/11/2024] Open
Abstract
Climate change related warming is a serious environmental problem attributed to anthropogenic activities, causing ocean water temperatures to rise in the coastal marine ecosystem since the last century. This particularly affects benthic microbial communities, which are crucial for biogeochemical cycles. While bacterial communities have received considerable scientific attention, the benthic eukaryotic community response to climate change remains relatively overlooked. In this study, sediments were sampled from a heated (average 5°C increase over the whole year for over 50 years) and a control (contemporary conditions) Baltic Sea bay during four different seasons across a year. RNA transcript counts were then used to investigate eukaryotic community changes under long-term warming. The composition of active species in the heated and control bay sediment eukaryotic communities differed, which was mainly attributed to salinity and temperature. The family level RNA transcript alpha diversity in the heated bay was higher during May but lower in November, compared with the control bay, suggesting altered seasonal activity patterns and dynamics. In addition, structures of the active eukaryotic communities varied between the two bays during the same season. Hence, this study revealed that long-term warming can change seasonality in eukaryotic diversity patterns. Relative abundances and transcript expression comparisons between bays suggested that some taxa that now have lower mRNA transcripts numbers could be favored by future warming. Furthermore, long-term warming can lead to a more active metabolism in these communities throughout the year, such as higher transcript numbers associated with diatom energy production and protein synthesis in the heated bay during winter. In all, these data can help predict how future global warming will affect the ecology and metabolism of eukaryotic community in coastal sediments.
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Affiliation(s)
- Songjun Li
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
| | - Emelie Nilsson
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
| | - Laura Seidel
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden
| | - Marcelo Ketzer
- Department of Biology and Environmental Sciences, Linnaeus University, Kalmar, Sweden
| | - Anders Forsman
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
| | - Mark Dopson
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
| | - Samuel Hylander
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
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Zhan Y, Ning B, Sun J, Chang Y. Living in a hypoxic world: A review of the impacts of hypoxia on aquaculture. MARINE POLLUTION BULLETIN 2023; 194:115207. [PMID: 37453286 DOI: 10.1016/j.marpolbul.2023.115207] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 06/12/2023] [Accepted: 06/18/2023] [Indexed: 07/18/2023]
Abstract
Hypoxia is a harmful result of anthropogenic climate change. With the expansion of global low-oxygen zones (LOZs), many organisms have faced unprecedented challenges affecting their survival and reproduction. Extensive research has indicated that oxygen limitation has drastic effects on aquatic animals, including on their development, morphology, behavior, reproduction, and physiological metabolism. In this review, the global distribution and formation of LOZs were analyzed, and the impacts of hypoxia on aquatic animals and the molecular responses of aquatic animals to hypoxia were then summarized. The commonalities and specificities of the response to hypoxia in aquatic animals in different LOZs were discussed lastly. In general, this review will deepen the knowledge of the impacts of hypoxia on aquaculture and provide more information and research directions for the development of fishery resource protection strategies.
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Affiliation(s)
- Yaoyao Zhan
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, Liaoning, PR China
| | - Bingyu Ning
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, Liaoning, PR China
| | - Jingxian Sun
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, Liaoning, PR China; College of Life Science, Liaoning Normal University, Dalian 116029, Liaoning, PR China
| | - Yaqing Chang
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, Liaoning, PR China; College of Life Science, Liaoning Normal University, Dalian 116029, Liaoning, PR China.
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Tsugeki N, Nakane K, Doi H, Ochi N, Kuwae M. Reconstruction of 100-year dynamics in Daphnia spawning activity revealed by sedimentary DNA. Sci Rep 2022; 12:1741. [PMID: 35110566 PMCID: PMC8810866 DOI: 10.1038/s41598-021-03899-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 12/10/2021] [Indexed: 11/09/2022] Open
Abstract
Environmental DNA (eDNA) is currently developing as a powerful tool for assessing aquatic species dynamics. However, its utility as an assessment tool for quantification remain under debate as the sources of eDNA for different species is not always known. Therefore, accumulating information about eDNA sources from different species is urgently required. The objective of our study was to evaluate whether sedimentary DNA targeting two Daphnia species, D. galeata and D. pulicaria, could track Daphnia population dynamics and resting egg production. Applying a quantitative PCR targeting the mitochondrial 12S rRNA gene on sediment cores collected in Lake Biwa, Japan, we compared sedimentary DNA concentration of Daphnia with the abundance of remains and ephippia, reflecting their abundance and resting egg production, respectively. We found that the sedimentary DNA concentrations of Daphnia for the past century were inconsistent with their population abundance. However, the concentration was highly correlated with the resting egg production. Our results provide evidence that ephippia with resting eggs, released during spawning activities, was a significant source of Daphnia DNA archived in sediments. Our work provides critical insights for using sedimentary DNA as a monitoring tool for egg production dating back 100 years.
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Affiliation(s)
- Narumi Tsugeki
- Faculty of Law, Matsuyama University, Matsuyama, 790-8578, Ehime, Japan.
| | - Kai Nakane
- Center for Marine Environmental Studies, Ehime University, Matsuyama, 790-8577, Ehime, Japan
| | - Hideyuki Doi
- Graduate School of Simulation Studies, University of Hyogo, Kobe, 650-0047, Hyogo, Japan
| | - Natsuki Ochi
- Center for Marine Environmental Studies, Ehime University, Matsuyama, 790-8577, Ehime, Japan
| | - Michinobu Kuwae
- Center for Marine Environmental Studies, Ehime University, Matsuyama, 790-8577, Ehime, Japan
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9
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The effect of estuarine system on the meiofauna and nematodes in the East Siberian Sea. Sci Rep 2021; 11:19306. [PMID: 34588510 PMCID: PMC8481313 DOI: 10.1038/s41598-021-98641-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 09/13/2021] [Indexed: 11/17/2022] Open
Abstract
Arctic meiofauna and nematodes were examined at 12 stations in the East Siberian Sea, covering a depth range of 13–59 m and an estuarine-shelf system from the Indigirka and Kolyma rivers to the adjacent shelf. Our data reveal the low diversity of the meiofauna at the East Siberian Sea shelf. The meiobenthos abundance was influenced by river run-off and the sea bottom landscape. The samples comprised a total of 28 families and 72 genera, and the number of genera per station ranged from 15 to 32. The Comesomatidae was the dominant family with genus Sabatieria. Among all factors, depth, water temperature and the total organic carbon appeared to be important variables explaining spatial variations in meiofauna and nematodes abundance. Depth and river run-off were defining in controlling the density of nematodes in the study area.
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10
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Hermans M, Astudillo Pascual M, Behrends T, Lenstra WK, Conley DJ, Slomp CP. Coupled dynamics of iron, manganese, and phosphorus in brackish coastal sediments populated by cable bacteria. LIMNOLOGY AND OCEANOGRAPHY 2021; 66:2611-2631. [PMID: 34413543 PMCID: PMC8360020 DOI: 10.1002/lno.11776] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 09/22/2020] [Accepted: 04/06/2021] [Indexed: 06/13/2023]
Abstract
Coastal waters worldwide suffer from increased eutrophication and seasonal bottom water hypoxia. Here, we assess the dynamics of iron (Fe), manganese (Mn), and phosphorus (P) in sediments of the eutrophic, brackish Gulf of Finland populated by cable bacteria. At sites where bottom waters are oxic in spring, surface enrichments of Fe and Mn oxides and high abundances of cable bacteria were observed in sediments upon sampling in early summer. At one site, Fe and P were enriched in a thin layer (~ 3 mm) just below the sediment-water interface. X-ray absorption near edge structure and micro X-ray fluorescence analyses indicate that two-thirds of the P in this layer was associated with poorly crystalline Fe oxides, with an additional contribution of Mn(II) phosphates. The Fe enriched layer was directly overlain by a Mn oxide-rich surface layer (~ 2 mm). The Fe oxide layer was likely of diagenetic origin, formed through dissolution of Fe monosulfides and carbonates, potentially induced by cable bacteria in the preceding months when bottom waters were oxic. Most of the Mn oxides were likely deposited from the water column as part of a cycle of repeated deposition and remobilization. Further research is required to confirm whether cable bacteria activity in spring indeed promotes the formation of distinct layers enriched in Fe, Mn, and P minerals in Gulf of Finland sediments. The temporal variations in biogeochemical cycling in this seasonally hypoxic coastal system, potentially controlled by cable bacteria activity, have little impact on permanent sedimentary Fe, Mn, and P burial.
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Affiliation(s)
- Martijn Hermans
- Department of Earth Sciences (Geochemistry), Faculty of GeosciencesUtrecht UniversityUtrechtThe Netherlands
| | - Marina Astudillo Pascual
- Department of Earth Sciences (Geochemistry), Faculty of GeosciencesUtrecht UniversityUtrechtThe Netherlands
- Department of Biology and GeologyUniversity of AlmeríaAlmeríaSpain
| | - Thilo Behrends
- Department of Earth Sciences (Geochemistry), Faculty of GeosciencesUtrecht UniversityUtrechtThe Netherlands
| | - Wytze K. Lenstra
- Department of Earth Sciences (Geochemistry), Faculty of GeosciencesUtrecht UniversityUtrechtThe Netherlands
| | - Daniel J. Conley
- Department of Geology, Faculty of ScienceLund UniversityLundSweden
| | - Caroline P. Slomp
- Department of Earth Sciences (Geochemistry), Faculty of GeosciencesUtrecht UniversityUtrechtThe Netherlands
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11
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Abstract
Cyanophages are viruses that target cyanobacteria and directly control their abundance via viral lysis. Cyanobacteria are known to cause large blooms in water bodies, substantially contributing to oxygen depletion in bottom waters resulting in areas called dead zones. Up to 20% of prokaryotic organisms in the oceans are estimated to die every day due to viral infection and lysis. Viruses can therefore alter microbial diversity, community structure, and biogeochemical processes driven by these organisms. Cyanophages are viruses that infect and lyse cyanobacterial cells, adding bioavailable carbon and nutrients into the environment. Cyanobacteria are photosynthesizing bacteria, with some species capable of N2 fixation, which are known to form large blooms as well as resistant resting cells known as akinetes. Here, we investigated cyanophage diversity and community structure plus cyanobacteria in dead zone sediments. We sampled surface sediments and sequenced DNA and RNA, along an oxygen gradient—representing oxic, hypoxic, and anoxic conditions—in one of the world’s largest dead zones located in the Baltic Sea. Cyanophages were detected at all stations and, based on partial genome contigs, had a higher alpha diversity and different beta diversity in the hypoxic-anoxic sediments, suggesting that cyanobacteria in dead zone sediments and/or environmental conditions select for specific cyanophages. Some of these cyanophages can infect cyanobacteria with potential consequences for gene expression related to their photosystem and phosphate regulation. Top cyanobacterial genera detected in the anoxic sediment included Dolichospermum/Anabaena, Synechococcus, and Cyanobium. RNA transcripts classified to cyanobacteria were associated with numerous pathways, including anaerobic carbon metabolism and N2 fixation. Cyanobacterial blooms are known to fuel oxygen-depleted ecosystems with phosphorus (so-called internal loading), and our cyanophage data indicate the potential for viral lysis of cyanobacteria which might explain the high nutrient turnover in these environments. IMPORTANCE Cyanophages are viruses that target cyanobacteria and directly control their abundance via viral lysis. Cyanobacteria are known to cause large blooms in water bodies, substantially contributing to oxygen depletion in bottom waters resulting in areas called dead zones. Our knowledge of cyanophages in dead zones is very scarce, and so far, no studies have assembled partial cyanophage genomes and investigated their associated cyanobacteria in these dark and anoxic sediments. Here, we present the first study using DNA and RNA sequencing to investigate in situ diversity of cyanophages and cyanobacteria in dead zones. Our study shows that dead zone sediments contain different cyanophages compared to oxic sediments and suggest that these viruses are able to affect cyanobacterial photosystem and phosphate regulation. Furthermore, cyanophage-controlled lysis of cyanobacteria might also increase the turnover of carbon, phosphorus, and nitrogen in these oxygen-free environments at the bottom of the sea.
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Broman E, Bonaglia S, Norkko A, Creer S, Nascimento FJA. High throughput shotgun sequencing of eRNA reveals taxonomic and derived functional shifts across a benthic productivity gradient. Mol Ecol 2020; 30:3023-3039. [PMID: 32706485 DOI: 10.1111/mec.15561] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 06/29/2020] [Accepted: 07/18/2020] [Indexed: 01/04/2023]
Abstract
Benthic macrofauna is regularly used in monitoring programmes, however the vast majority of benthic eukaryotic biodiversity lies mostly in microscopic organisms, such as meiofauna (invertebrates < 1 mm) and protists, that rapidly responds to environmental change. These communities have traditionally been hard to sample and handle in the laboratory, but DNA sequencing has made such work less time consuming. While DNA sequencing captures both alive and dead organisms, environmental RNA (eRNA) better targets living organisms or organisms of recent origin in the environment. Here, we assessed the biodiversity of three known bioindicator microeukaryote groups (nematodes, foraminifera, and ciliates) in sediment samples collected at seven coastal sites along an organic carbon (OC) gradient. We aimed to investigate if eRNA shotgun sequencing can be used to simultaneously detect differences in (i) biodiversity of multiple microeukaryotic communities; and (ii) functional feeding traits of nematodes. Results showed that biodiversity was lower for nematodes and foraminifera in high OC (6.2%-6.9%), when compared to low OC sediments (1.2%-2.8%). Dissimilarity in community composition increased for all three groups between Low OC and High OC, as well as the classified feeding type of nematode genera (with more nonselective deposit feeders in high OC sediment). High relative abundant genera included nematode Sabatieria and foraminifera Elphidium in high OC, and Cryptocaryon-like ciliates in low OC sediments. Considering that future sequencing technologies are likely to decrease in cost, the use of eRNA shotgun sequencing to assess biodiversity of benthic microeukaryotes could be a powerful tool in recurring monitoring programmes.
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Affiliation(s)
- Elias Broman
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.,Baltic Sea Centre, Stockholm University, Stockholm, Sweden
| | - Stefano Bonaglia
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.,Nordcee, Department of Biology, University of Southern Denmark, Odense, Denmark.,Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Alf Norkko
- Baltic Sea Centre, Stockholm University, Stockholm, Sweden.,Tvärminne Zoological Station, University of Helsinki, Hanko, Finland
| | - Simon Creer
- Molecular Ecology and Fisheries Genetics Laboratory, School of Natural Sciences, Bangor University, Bangor, UK
| | - Francisco J A Nascimento
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.,Baltic Sea Centre, Stockholm University, Stockholm, Sweden
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