1
|
He P, Wang H, Shi J, Xin M, Wang W, Xie L, Wei Q, Huang M, Shi X, Fan Y, Chen H. Prokaryote Distribution Patterns along a Dissolved Oxygen Gradient Section in the Tropical Pacific Ocean. Microorganisms 2023; 11:2172. [PMID: 37764016 PMCID: PMC10534896 DOI: 10.3390/microorganisms11092172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/09/2023] [Accepted: 08/13/2023] [Indexed: 09/29/2023] Open
Abstract
Oceanic oxygen levels are decreasing significantly in response to global climate change; however, the microbial diversity and ecological functional responses to dissolved oxygen (DO) in the open ocean are largely unknown. Here, we present prokaryotic distribution coupled with physical and biogeochemical variables and DO gradients from the surface to near the bottom of a water column along an approximately 12,000-km transect from 13° N to 18° S in the Tropical Pacific Ocean. Nitrate (11.42%), temperature (10.90%), pH (10.91%), silicate (9.34%), phosphate (4.25%), chlorophyll a (3.66%), DO (3.50%), and salinity (3.48%) significantly explained the microbial community variations in the studied area. A distinct microbial community composition broadly corresponding to the water masses formed vertically. Additionally, distinct ecotypes of Thaumarchaeota and Nitrospinae belonging to diverse phylogenetic clades that coincided with specific vertical niches were observed. Moreover, the correlation analysis revealed large-scale natural feedback in which chlorophyll a (organic matter) promoted Thaumarchaeotal biomass at depths that subsequently coupled with Nitrospina, produced and replenished nitrate for phytoplankton productivity at the surface. Low DO also favored Thaumarchaeota growth and fueled nitrate production.
Collapse
Affiliation(s)
- Peiqing He
- Key Laboratory of Science and Technology for Marine Ecology and Environment, First Institute of Oceanography, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China; (P.H.); (H.W.); (J.S.); (M.X.); (L.X.); (Q.W.); (Y.F.)
- Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology, 168 Wenhai Middle Road, Aoshanwei, Jimo District, Qingdao 266071, China
| | - Huan Wang
- Key Laboratory of Science and Technology for Marine Ecology and Environment, First Institute of Oceanography, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China; (P.H.); (H.W.); (J.S.); (M.X.); (L.X.); (Q.W.); (Y.F.)
- Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology, 168 Wenhai Middle Road, Aoshanwei, Jimo District, Qingdao 266071, China
| | - Jie Shi
- Key Laboratory of Science and Technology for Marine Ecology and Environment, First Institute of Oceanography, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China; (P.H.); (H.W.); (J.S.); (M.X.); (L.X.); (Q.W.); (Y.F.)
- Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology, 168 Wenhai Middle Road, Aoshanwei, Jimo District, Qingdao 266071, China
| | - Ming Xin
- Key Laboratory of Science and Technology for Marine Ecology and Environment, First Institute of Oceanography, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China; (P.H.); (H.W.); (J.S.); (M.X.); (L.X.); (Q.W.); (Y.F.)
| | - Weimin Wang
- Center for Ocean and Climate Research, First Institute of Oceanography, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China;
| | - Linping Xie
- Key Laboratory of Science and Technology for Marine Ecology and Environment, First Institute of Oceanography, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China; (P.H.); (H.W.); (J.S.); (M.X.); (L.X.); (Q.W.); (Y.F.)
| | - Qinsheng Wei
- Key Laboratory of Science and Technology for Marine Ecology and Environment, First Institute of Oceanography, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China; (P.H.); (H.W.); (J.S.); (M.X.); (L.X.); (Q.W.); (Y.F.)
| | - Mu Huang
- Key Laboratory of State Oceanic Administration for Marine Sedimentology & Environmental Geology, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China; (M.H.); (X.S.)
| | - Xuefa Shi
- Key Laboratory of State Oceanic Administration for Marine Sedimentology & Environmental Geology, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China; (M.H.); (X.S.)
| | - Yaqin Fan
- Key Laboratory of Science and Technology for Marine Ecology and Environment, First Institute of Oceanography, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China; (P.H.); (H.W.); (J.S.); (M.X.); (L.X.); (Q.W.); (Y.F.)
| | - Hao Chen
- Key Laboratory of Science and Technology for Marine Ecology and Environment, First Institute of Oceanography, Ministry of Natural Resources, 6 Xianxialing Road, Qingdao 266061, China; (P.H.); (H.W.); (J.S.); (M.X.); (L.X.); (Q.W.); (Y.F.)
- Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology, 168 Wenhai Middle Road, Aoshanwei, Jimo District, Qingdao 266071, China
| |
Collapse
|
2
|
Lu W, Wang L, Liang J, Lu Y, Wang J, Fu YV. Dynamically Quantifying Intracellular Elemental Sulfur and Predicting Pertinent Gene Transcription by Raman Spectroscopy in Living Cells. Anal Chem 2023. [PMID: 37330921 DOI: 10.1021/acs.analchem.3c00047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
The ability to monitor changes in metabolites and corresponding gene transcription within living cells is highly desirable. However, most current assays for quantification of metabolites or for gene transcription are destructive, precluding tracking the real-time dynamics of living cells. Here, we used the intracellular elemental sulfur in a Thiophaeococcus mangrovi cell as a proof-of-concept to link the quantity of metabolites and relevant gene transcription in living cells by a nondestructive Raman approach. Raman spectroscopy was utilized to quantify intracellular elemental sulfur noninvasively, and a computational mRR (mRNA and Raman) model was developed to infer the transcription of genes relevant to elemental sulfur. The results showed a significant linear correlation between the exponentially transformed Raman spectral intensity of intracellular elemental sulfur and the mRNA levels of genes encoding sulfur globule proteins in T. mangrovi. The mRR model was verified independently in two genera of Thiocapsa and Thiorhodococcus, and the mRNA levels predicted by mRR showed high consistency with actual gene expression detected by real-time polymerase chain reaction (PCR). This approach could enable noninvasive assessment of the quantity of metabolites and link the pertinent gene expression profiles in living cells, providing useful baseline data to spectroscopically map various omics in real time.
Collapse
Affiliation(s)
- Weilai Lu
- State Key Laboratory of Microbial Resources, Institute of Microbiology Chinese Academy of Sciences, Beijing 100101, China
| | - Lu Wang
- State Key Laboratory of Microbial Resources, Institute of Microbiology Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jing Liang
- State Key Laboratory of Microbial Resources, Institute of Microbiology Chinese Academy of Sciences, Beijing 100101, China
| | - Yi Lu
- State Key Laboratory of Microbial Resources, Institute of Microbiology Chinese Academy of Sciences, Beijing 100101, China
| | - Jing Wang
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Yu Vincent Fu
- State Key Laboratory of Microbial Resources, Institute of Microbiology Chinese Academy of Sciences, Beijing 100101, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
3
|
Zhou Z, Tran PQ, Adams AM, Kieft K, Breier JA, Fortunato CS, Sheik CS, Huber JA, Li M, Dick GJ, Anantharaman K. Sulfur cycling connects microbiomes and biogeochemistry in deep-sea hydrothermal plumes. THE ISME JOURNAL 2023:10.1038/s41396-023-01421-0. [PMID: 37179442 DOI: 10.1038/s41396-023-01421-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 04/17/2023] [Accepted: 04/20/2023] [Indexed: 05/15/2023]
Abstract
In globally distributed deep-sea hydrothermal vent plumes, microbiomes are shaped by the redox energy landscapes created by reduced hydrothermal vent fluids mixing with oxidized seawater. Plumes can disperse over thousands of kilometers and their characteristics are determined by geochemical sources from vents, e.g., hydrothermal inputs, nutrients, and trace metals. However, the impacts of plume biogeochemistry on the oceans are poorly constrained due to a lack of integrated understanding of microbiomes, population genetics, and geochemistry. Here, we use microbial genomes to understand links between biogeography, evolution, and metabolic connectivity, and elucidate their impacts on biogeochemical cycling in the deep sea. Using data from 36 diverse plume samples from seven ocean basins, we show that sulfur metabolism defines the core microbiome of plumes and drives metabolic connectivity in the microbial community. Sulfur-dominated geochemistry influences energy landscapes and promotes microbial growth, while other energy sources influence local energy landscapes. We further demonstrated the consistency of links among geochemistry, function, and taxonomy. Amongst all microbial metabolisms, sulfur transformations had the highest MW-score, a measure of metabolic connectivity in microbial communities. Additionally, plume microbial populations have low diversity, short migration history, and gene-specific sweep patterns after migrating from background seawater. Selected functions include nutrient uptake, aerobic oxidation, sulfur oxidation for higher energy yields, and stress responses for adaptation. Our findings provide the ecological and evolutionary bases of change in sulfur-driven microbial communities and their population genetics in adaptation to changing geochemical gradients in the oceans.
Collapse
Affiliation(s)
- Zhichao Zhou
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Patricia Q Tran
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Freshwater and Marine Sciences Graduate Program, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Alyssa M Adams
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Kristopher Kieft
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Microbiology Doctoral Training Program, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - John A Breier
- School of Earth, Environmental, and Marine Sciences, The University of Texas Rio Grande Valley, Edinburg, TX, 78539, USA
| | | | - Cody S Sheik
- Department of Biology and Large Lakes Observatory, University of Minnesota Duluth, Duluth, MN, 55812, USA
| | - Julie A Huber
- Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA, 02543, USA
| | - Meng Li
- Archaeal Biology Center, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China
- Shenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China
| | - Gregory J Dick
- Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, MI, 48109, USA
- Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Karthik Anantharaman
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, 53706, USA.
| |
Collapse
|
4
|
Raes EJ, Tolman J, Desai D, Ratten JM, Zorz J, Robicheau BM, Haider D, LaRoche J. Seasonal bacterial niche structures and chemolithoautotrophic ecotypes in a North Atlantic fjord. Sci Rep 2022; 12:15335. [PMID: 36097189 PMCID: PMC9468339 DOI: 10.1038/s41598-022-19165-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 08/25/2022] [Indexed: 11/27/2022] Open
Abstract
Quantifying the temporal change of bacterial communities is essential to understanding how both natural and anthropogenic pressures impact the functions of coastal marine ecosystems. Here we use weekly microbial DNA sampling across four years to show that bacterial phyla have distinct seasonal niches, with a richness peak in winter (i.e., an inverse relationship with daylength). Our results suggest that seasonal fluctuations, rather than the kinetic energy or resource hypotheses, dominated the pattern of bacterial diversity. These findings supplement those from global analyses which lack temporal replication and present few data from winter months in polar and temperate regions. Centered log-ratio transformed data provided new insights into the seasonal niche partitioning of conditionally rare phyla, such as Modulibacteria, Verrucomicrobiota, Synergistota, Deinococcota, and Fermentibacterota. These patterns could not be identified using the standard practice of ASV generation followed by rarefaction. Our study provides evidence that five globally relevant ecotypes of chemolithoautotrophic bacteria from the SUP05 lineage comprise a significant functional group with varying seasonal dominance patterns in the Bedford Basin.
Collapse
Affiliation(s)
- Eric J Raes
- Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada. .,Flourishing Oceans, Minderoo Foundation, Broadway, WA, 6009, Australia.
| | - Jennifer Tolman
- Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada
| | - Dhwani Desai
- Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada.,Department of Pharmacology, Dalhousie University, Halifax, NS, B3H 4R2, Canada
| | - Jenni-Marie Ratten
- Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada
| | - Jackie Zorz
- Department of Geoscience, University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Brent M Robicheau
- Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada
| | - Diana Haider
- Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada.,Faculty of Computer Science, Dalhousie University, Halifax, NS, B3H 4R2, Canada
| | - Julie LaRoche
- Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada
| |
Collapse
|
5
|
Abstract
The SUP05 clade of gammaproteobacteria (Thioglobaceae) comprises both primary producers and primary consumers of organic carbon in the oceans. Host-associated autotrophs are a principal source of carbon and other nutrients for deep-sea eukaryotes at hydrothermal vents, and their free-living relatives are a primary source of organic matter in seawater at vents and in marine oxygen minimum zones. Similar to other abundant marine heterotrophs, such as SAR11 and Roseobacter, heterotrophic Thioglobaceae use the dilute pool of osmolytes produced by phytoplankton for growth, including methylated amines and sulfonates. Heterotrophic members are common throughout the ocean, and autotrophic members are abundant at hydrothermal vents and in anoxic waters; combined, they can account for more than 50% of the total bacterial community. Studies of both cultured and uncultured representatives from this diverse family are providing novel insights into the shifting biogeochemical roles of autotrophic and heterotrophic bacteria that cross oxic-anoxic boundary layers in the ocean.
Collapse
Affiliation(s)
- Robert M Morris
- School of Oceanography, University of Washington, Seattle, Washington 98195, USA;
| | - Rachel L Spietz
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, Montana 59717, USA;
| |
Collapse
|
6
|
Guo R, Ma X, Zhang J, Liu C, Thu CA, Win TN, Aung NL, Win HS, Naing S, Li H, Zhou F, Wang P. Microbial community structures and important taxa across oxygen gradients in the Andaman Sea and eastern Bay of Bengal epipelagic waters. Front Microbiol 2022; 13:1041521. [PMID: 36406446 PMCID: PMC9667114 DOI: 10.3389/fmicb.2022.1041521] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 09/29/2022] [Indexed: 05/01/2023] Open
Abstract
In oceanic oxygen minimum zones (OMZs), the abundances of aerobic organisms significantly decrease and energy shifts from higher trophic levels to microorganisms, while the microbial communities become critical drivers of marine biogeochemical cycling activities. However, little is known of the microbial ecology of the Andaman Sea and eastern Bay of Bengal (BoB) OMZs. In the present study, a total of 131 samples which from the Andaman Sea and eastern BoB epipelagic waters were analyzed. The microbial community distribution patterns across oxygen gradients, including oxygenic zones (OZs, dissolved oxygen [DO] ≥ 2 mg/L), oxygen limited zones (OLZs, 0.7 mg/L < DO < 2 mg/L), and OMZs (DO ≤ 0.7 mg/L), were investigated. Mantel tests and Spearman's correlation analysis revealed that DO was the most important driver of microbial community structures among several environmental factors. Microbial diversity, richness, and evenness were highest in the OLZs and lowest in the OZs. The microbial community compositions of OZ and OMZ waters were significantly different. Random forest analysis revealed 24 bioindicator taxa that differentiated OZ, OLZ, and OMZ water communities. These bioindicator taxa included Burkholderiaceae, HOC36, SAR11 Clade IV, Thioglobaceae, Nitrospinaceae, SAR86, and UBA10353. Further, co-occurrence network analysis revealed that SAR202, AEGEAN-169, UBA10353, SAR406, and Rhodobacteraceae were keystone taxa among the entire interaction network of the microbial communities. Functional prediction further indicated that the relative abundances of microbial populations involved in nitrogen and sulfur cycling were higher in OMZs. Several microbial taxa, including the Thioglobaceae, Nitrospinaceae, SAR202, SAR406, WPS-2, UBA10353, and Woeseiaceae, may be involved in nitrogen and/or sulfur cycling, while also contributing to oxygen consumption in these waters. This study consequently provides new insights into the microbial community structures and potentially important taxa that contribute to oxygen consumption in the Andaman Sea and eastern BoB OMZ.
Collapse
Affiliation(s)
- Ruoyu Guo
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
- Observation and Research Station of Yangtze River Delta Marine Ecosystems, Ministry of Natural Resources, Zhoushan, China
| | - Xiao Ma
- Observation and Research Station of Yangtze River Delta Marine Ecosystems, Ministry of Natural Resources, Zhoushan, China
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
| | - Jingjing Zhang
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
| | - Chenggang Liu
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
| | - Chit Aung Thu
- Research and Development Section, Department of Fisheries, Naypyidaw, Myanmar
| | - Tun Naing Win
- Department of Meteorology and Hydrology, Ministry of Transport and Communication, Naypyidaw, Myanmar
| | - Nyan Lin Aung
- Environmental Conservation Department, Ministry of Natural Resources and Environmental Conservation, Naypyidaw, Myanmar
| | - Hlaing Swe Win
- National Analytical Laboratory, Department of Research in Innovation, Ministry of Education, Naypyidaw, Myanmar
| | - Sanda Naing
- Port and Harbour Engineering Department, Myanmar Maritime University, Thanlyin, Myanmar
| | - Hongliang Li
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
| | - Feng Zhou
- Observation and Research Station of Yangtze River Delta Marine Ecosystems, Ministry of Natural Resources, Zhoushan, China
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
- *Correspondence: Feng Zhou,
| | - Pengbin Wang
- Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
- Observation and Research Station of Yangtze River Delta Marine Ecosystems, Ministry of Natural Resources, Zhoushan, China
- Pengbin Wang,
| |
Collapse
|