Environment drives the co-occurrence of bacteria and microeukaryotes in a typical subtropical bay

Yifan MA; Lingfeng HUANG; Wenjing ZHANG

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Environment drives the co-occurrence of bacteria and microeukaryotes in a typical subtropical bay

Ecology | Updated：2024-10-12

- Environment drives the co-occurrence of bacteria and microeukaryotes in a typical subtropical bay
- Journal of Oceanology and Limnology Vol. 41, Issue 6, Pages: 2292-2308(2023)
- Affiliations：
  
  1. State Key Laboratory of Marine Environmental Science, Marine Biodiversity and Global Change Research Center, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
  2. Xiamen Key Laboratory of Urban Sea Ecological Conservation and Restoration, Xiamen University, Xiamen 361102, China
  3. Fujian Key Laboratory of Coastal Pollution Prevention and Control, Xiamen University, Xiamen 361102, China
  4. Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China
- Author bio：
  
  zhangwenjing@xmu.edu.cn
- Funds：
- DOI：
  CLC：
- Received：25 April 2022，
  
  Accepted：13 July 2022，
  
  Online First：02 November 2022，
  
  Published：01 November 2023
- Accepted：
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MA Yifan,HUANG Lingfeng,ZHANG Wenjing.Environment drives the co-occurrence of bacteria and microeukaryotes in a typical subtropical bay[J].Journal of Oceanology and Limnology,2023,41(06):2292-2308.
DOI：

MA Yifan,HUANG Lingfeng,ZHANG Wenjing.Environment drives the co-occurrence of bacteria and microeukaryotes in a typical subtropical bay[J].Journal of Oceanology and Limnology,2023,41(06):2292-2308. DOI：

摘要

Abstract

The co-occurrence of bacteria and microeukaryote species is a ubiquitous ecological phenomenon

but there is limited cross-domain research in aquatic environments. We conducted a network statistical analysis and visualization of microbial cross-domain co-occurrence patterns based on DNA sampling of a typical subtropical bay during four seasons

using high-throughput sequencing of both 18S rRNA and 16S rRNA genes. First

we found obvious relationships between network stability and network complexity indices. For example

increased cooperation and modularity were found to weaken the stability of cross-domain networks. Secondly

we found that bacterial operational taxonomic units (OTUs) were the most important contributors to network complexity and stability as they occupied more nodes

constituted more keystone OTUs

built more connections

more importantly

ignoring bacteria led to greater variation in network robustness. Gammaproteobacteria

Alphaproteobacteria

Bacteroidetes

and Actinobacteria were the most ecologically important groups. Finally

we found that the environmental drivers most associated with cross-domain networks varied across seasons (in detail

the network in January was primarily constrained by temperature and salinity

the network in April was primarily constrained by depth and temperature

the network in July was mainly affected by depth

temperature

and salinity

depth was the most important factor affecting the network in October) and that environmental influence was stronger on bacteria than on microeukaryotes.

关键词

Keywords

references

Amaral-Zettler L A , McCliment E A , Ducklow H W et al . 2009 . A method for studying protistan diversity using massively parallel sequencing of V9 hypervariable regions of small-subunit ribosomal RNA genes . PLoS One , 4 ( 7 ): e6372 , https://doi.org/10.1371/journal.pone.0006372 https://doi.org/10.1371/journal.pone.0006372 .

Anderson S R , Chisholm M , Harvey E L . 2021 . Investigating temperature effects on coastal microbial populations and trophic interactions with 16S and 18S rRNA metabarcoding . BioRxiv , https://doi.org/10.1101/2021.03.17.435717 https://doi.org/10.1101/2021.03.17.435717 .

Banerjee S , Schlaeppi K , van der Heijden M G A . 2018 . Keystone taxa as drivers of microbiome structure and functioning . Nature Reviews Microbiology , 16 ( 9 ): 567 - 576 , https://doi.org/10.1038/s41579-018-0024-1 https://doi.org/10.1038/s41579-018-0024-1 .

Bascompte J . 2009 . Disentangling the web of life . Science , 325 ( 5939 ): 416 - 419 , https://doi.org/10.1126/science.1170749 https://doi.org/10.1126/science.1170749 .

Bastian M , Heymann S , Jacomy M . 2009 . Gephi: an open source software for exploring and manipulating networks . In: Proceedings of the Third International Conference on Weblogs and Social Media . The AAAI Press , San Jose, California , https://doi.org/10.13140/2.1.1341.1520 https://doi.org/10.13140/2.1.1341.1520 .

Bastolla U , Fortuna M A , Pascual-García A et al . 2009 . The architecture of mutualistic networks minimizes competition and increases biodiversity . Nature , 458 ( 7241 ): 1018 - 1020 , https://doi.org/10.1038/nature07950 https://doi.org/10.1038/nature07950 .

Berry D , Widder S . 2014 . Deciphering microbial interactions and detecting keystone species with co-occurrence networks . Frontiers in Microbiology , 5 : 219 , https://doi.org/10.3389/fmicb.2014.00219 https://doi.org/10.3389/fmicb.2014.00219 .

Cerino F , Zingone A . 2006 . A survey of cryptomonad diversity and seasonality at a coastal Mediterranean site . European Journal of Phycology , 41 ( 4 ): 363 - 378 , https://doi.org/10.1080/09670260600839450 https://doi.org/10.1080/09670260600839450 .

Chambouvet A , Alves-de-Souza C , Cueff V et al . 2011 . Interplay between the parasite Amoebophrya sp. (Alveolata) and the cyst formation of the red tide dinoflagellate Scrippsiella trochoidea . Protist , 162 ( 4 ): 637 - 649 , https://doi.org/10.1016/j.protis.2010.12.001 https://doi.org/10.1016/j.protis.2010.12.001 .

Chen J , Li J J , Shen W J et al . 2019a . The structure and species co-occurrence networks of soil denitrifying bacterial communities differ between a coniferous and a broad leaved forests . Microorganisms , 7 ( 9 ): 361 , https://doi.org/10.3390/microorganisms7090361 https://doi.org/10.3390/microorganisms7090361 .

Chen Y Z , Wang Y S , Xie T T et al . 2019b . Analysis for the change of aquaculture area and water quality in Sansha Bay during 2010 - 2018 . In: Proceedings of 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, Yokohama, Japan . p. 8264 - 8267 , https://doi.org/10.1109/IGARSS.2019.8897917 https://doi.org/10.1109/IGARSS.2019.8897917 .

Clarke L J , Bestley S , Bissett A et al . 2019 . A globally distributed Syndiniales parasite dominates the Southern Ocean micro-eukaryote community near the sea-ice edge . The ISME Journal , 13 ( 3 ): 734 - 737 , https://doi.org/10.1038/s41396-018-0306-7 https://doi.org/10.1038/s41396-018-0306-7 .

Coyte K Z , Schluter J , Foster K R . 2015 . The ecology of the microbiome: Networks, competition, and stability . Science , 350 ( 6261 ): 663 - 666 , https://doi.org/10.1126/science.aad2602 https://doi.org/10.1126/science.aad2602 .

Crits-Christoph A , Gelsinger D R , Ma B et al . 2016 . Functional interactions of archaea, bacteria and viruses in a hypersaline endolithic community . Environmental Microbiology , 18 ( 6 ): 2064 - 2077 , https://doi.org/10.1111/1462-2920.13259 https://doi.org/10.1111/1462-2920.13259 .

Deng Y , Jiang Y H , Yang Y F et al . 2012 . Molecular ecological network analyses . BMC Bioinformatics , 13 : 113 , https://doi.org/10.1186/1471-2105-13-113 https://doi.org/10.1186/1471-2105-13-113 .

Deng Y , Zhang P , Qin Y J et al . 2016 . Network succession reveals the importance of competition in response to emulsified vegetable oil amendment for uranium bioremediation . Environmental Microbiology , 18 ( 1 ): 205 - 218 , https://doi.org/10.1111/1462-2920.12981 https://doi.org/10.1111/1462-2920.12981 .

Duan Q Y , Mai K S , Zhong H Y et al . 2001 . Studies on the nutrition of the large yellow croaker, Pseudosciaena crocea R. I: growth response to graded levels of dietary protein and lipid . Aquaculture Research , 32 ( S1 ): 46 - 52 , https://doi.org/10.1046/j.1355-557x.2001.00048.x https://doi.org/10.1046/j.1355-557x.2001.00048.x .

Eiler A , Heinrich F , Bertilsson S . 2012 . Coherent dynamics and association networks among Lake Bacterioplankton Taxa . The ISME Journal , 6 ( 2 ): 330 - 342 , https://doi.org/10.1038/ismej.2011.113 https://doi.org/10.1038/ismej.2011.113 .

Elifantz H , Malmstrom R R , Cottrell M T et al . 2005 . Assimilation of polysaccharides and glucose by major bacterial groups in the Delaware Estuary . Applied and Environmental Microbiology , 71 ( 12 ): 7799 - 7805 , https://doi.org/10.1128/AEM.71.12.7799-7805.2005 https://doi.org/10.1128/AEM.71.12.7799-7805.2005 .

Faust K . 2021 . Open challenges for microbial network construction and analysis . The ISME Journal , 15 ( 11 ): 3111 - 3118 , https://doi.org/10.1038/s41396-021-01027-4 https://doi.org/10.1038/s41396-021-01027-4 .

Faust K , Lima-Mendez G , Lerat J S et al . 2015 . Cross-biome comparison of microbial association networks . Frontiers in Microbiology , 6 : 1200 , https://doi.org/10.3389/fmicb.2015.01200 https://doi.org/10.3389/fmicb.2015.01200 .

Faust K , Raes J . 2012 . Microbial interactions: from networks to models . Nature Reviews Microbiology , 10 ( 8 ): 538 - 550 , https://doi.org/10.1038/nrmicro2832 https://doi.org/10.1038/nrmicro2832 .

Feng W , Zhang Y Q , Lai Z R et al . 2021 . Soil bacterial and eukaryotic co-occurrence networks across a desert climate gradient in northern China . Land Degradation & Development , 32 ( 5 ): 1938 - 1950 , https://doi.org/10.1002/ldr.3844 https://doi.org/10.1002/ldr.3844 .

Fuhrman J A . 2009 . Microbial community structure and its functional implications . Nature , 459 ( 7244 ): 193 - 199 , https://doi.org/10.1038/nature08058 https://doi.org/10.1038/nature08058 .

Gainsbury A , Meiri S . 2017 . The latitudinal diversity gradient and interspecific competition: no global relationship between lizard dietary niche breadth and species richness . Global Ecology and Biogeography , 26 ( 5 ): 563 - 572 , https://doi.org/10.1111/geb.12560 https://doi.org/10.1111/geb.12560 .

Ghai R , Mizuno C M , Picazo A et al . 2013 . Metagenomics uncovers a new group of low GC and ultra-small marine Actinobacteria . Scientific Reports , 3 : 2471 , https://doi.org/10.1038/srep02471 https://doi.org/10.1038/srep02471 .

Gilbert J A , Steele J A , Caporaso J G et al . 2012 . Defining seasonal marine microbial community dynamics . The ISME Journal , 6 ( 2 ): 298 - 308 , https://doi.org/10.1038/ismej.2011.107 https://doi.org/10.1038/ismej.2011.107 .

Grote J , Thrash J C , Huggett M J et al . 2012 . Streamlining and core genome conservation among highly divergent members of the SAR11 clade . mBio , 3 ( 5 ): e00252 - 12 , https://doi.org/10.1128/mBio.00252-12 https://doi.org/10.1128/mBio.00252-12 .

Guillou L , Bachar D , Audic S et al . 2013 . The protist ribosomal reference database (PR 2 ): a catalog of unicellular eukaryote small sub-unit rRNA sequences with curated taxonomy. Nucleic Acids Research , 41 ( D1 ): D597 - D604 , https://doi.org/10.1093/nar/gks1160 https://doi.org/10.1093/nar/gks1160 .

Hinger I , Pelikan C , Mußmann M . 2019 . Role of the ubiquitous bacterial family Woeseiaceae for N 2 O production in marine sediments. 21 st EGU General Assembly, EGU2019, Proceedings from the conference held 7 - 12 April, 2019 in Vienna, Austria. id .1744.

Horner-Devine M C , Carney K M , Bohannan B J M . 2004 . An ecological perspective on bacterial biodiversity . Proceedings of the Royal Society B : Biological Sciences , 271 ( 1535 ): 113 - 122 , https://doi.org/10.1098/rspb.2003.2549 https://doi.org/10.1098/rspb.2003.2549 .

Jackson M A , Bonder M J , Kuncheva Z et al . 2018 . Detection of stable community structures within gut microbiota co-occurrence networks from different human populations . PeerJ , 6 : e4303 , https://doi.org/10.7717/peerj.4303 https://doi.org/10.7717/peerj.4303 .

Jones S E , Chiu C Y , Kratz T K et al . 2008 . Typhoons initiate predictable change in aquatic bacterial communities . Limnology and Oceanography , 53 ( 4 ): 1319 - 1326 , https://doi.org/10.4319/lo.2008.53.4.1319 https://doi.org/10.4319/lo.2008.53.4.1319 .

Kylafis G , Loreau M . 2011 . Niche construction in the light of niche theory . Ecology Letters , 14 ( 2 ): 82 - 90 , https://doi.org/10.1111/j.1461-0248.2010.01551.x https://doi.org/10.1111/j.1461-0248.2010.01551.x .

Landi P , Minoarivelo H O , Brännström Å et al . 2018 . Complexity and stability of ecological networks: a review of the theory . Population Ecology , 60 ( 4 ): 319 - 345 , https://doi.org/10.1007/s10144-018-0628-3 https://doi.org/10.1007/s10144-018-0628-3 .

Liu H L , Liu Z Y , Zhang M H et al . 2021 . Geographic variation in the robustness of pollination networks is mediated by modularity . Global Ecology and Biogeography , 30 ( 7 ): 1447 - 1460 , https://doi.org/10.1111/geb.13310 https://doi.org/10.1111/geb.13310 .

Liu M , Liu L M , Chen H H et al . 2019 . Community dynamics of free-living and particle-attached bacteria following a reservoir Microcystis bloom . Science of the Total Environment , 660 : 501 - 511 , https://doi.org/10.1016/j.scitotenv.2018.12.414 https://doi.org/10.1016/j.scitotenv.2018.12.414 .

López-Pérez M , Haro-Moreno J M , Iranzo J et al . 2020 . Genomes of the " Candidatus Actinomarinales" order: highly streamlined marine epipelagic actinobacteria . mSystems , 5 ( 6 ): e01041 - 20 , https://doi.org/10.1128/mSystems.01041-20 https://doi.org/10.1128/mSystems.01041-20 .

Luo F , Yang Y F , Zhong J X et al . 2007 . Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory . BMC Bioinformatics , 8 : 299 , https://doi.org/10.1186/1471-2105-8-299 https://doi.org/10.1186/1471-2105-8-299 .

Luo F , Zhong J X , Yang Y F et al . 2006 . Application of random matrix theory to microarray data for discovering functional gene modules . Physical Review E , 73 ( 3 ): 031924 , https://doi.org/10.1103/PhysRevE.73.031924 https://doi.org/10.1103/PhysRevE.73.031924 .

Ma B , Wang H Z , Dsouza M et al . 2016 . Geographic patterns of co-occurrence network topological features for soil microbiota at continental scale in eastern China . The ISME Journal , 10 ( 8 ): 1891 - 1901 , https://doi.org/10.1038/ismej.2015.261 https://doi.org/10.1038/ismej.2015.261 .

Ma B , Wang Y L , Ye S D et al . 2020 . Earth microbial co-occurrence network reveals interconnection pattern across microbiomes . Microbiome , 8 ( 1 ): 82 , https://doi.org/10.1186/s40168-020-00857-2 https://doi.org/10.1186/s40168-020-00857-2 .

Maslov S , Sneppen K . 2002 . Specificity and stability in topology of protein networks . Science , 296 ( 5569 ): 910 - 913 , https://doi.org/10.1126/science.1065103 https://doi.org/10.1126/science.1065103 .

May R M . 1972 . Will a large complex system be stable? Nature , 238 ( 5364 ): 413 - 414 , https://doi.org/10.1038/238413a0 https://doi.org/10.1038/238413a0 .

Mikhailov I S , Zakharova Y R , Bukin Y S et al . 2019 . Correction to: Co-occurrence networks among bacteria and microbial eukaryotes of Lake Baikal during a spring phytoplankton bloom . Microbial Ecology , 77 ( 2 ): 558 - 558 , https://doi.org/10.1007/s00248-018-1307-9 https://doi.org/10.1007/s00248-018-1307-9 .

Milici M , Deng Z L , Tomasch J et al . 2016 . Co-occurrence analysis of microbial taxa in the Atlantic Ocean reveals high connectivity in the free-Living bacterioplankton . Frontiers in Microbiology , 7 : 649 , https://doi.org/10.3389/fmicb.2016.00649 https://doi.org/10.3389/fmicb.2016.00649 .

Mo Y Y , Zhang W J , Yang J et al . 2018 . Biogeographic patterns of abundant and rare bacterioplankton in three subtropical bays resulting from selective and neutral processes . The ISME Journal , 12 ( 9 ): 2198 - 2210 , https://doi.org/10.1038/s41396-018-0153-6 https://doi.org/10.1038/s41396-018-0153-6 .

Montoya J M , Pimm S L , Solé R V . 2006 . Ecological networks and their fragility . Nature , 442 ( 7100 ): 259 - 264 , https://doi.org/10.1038/nature04927 https://doi.org/10.1038/nature04927 .

Mougi A , Kondoh M . 2012 . Diversity of interaction types and ecological community stability . Science , 337 ( 6092 ): 349 - 351 , https://doi.org/10.1126/science.1220529 https://doi.org/10.1126/science.1220529 .

Needham D M , Sachdeva R , Fuhrman J A . 2017 . Ecological dynamics and co-occurrence among marine phytoplankton, bacteria and myoviruses shows microdiversity matters . The ISME Journal , 11 ( 7 ): 1614 - 1629 , https://doi.org/10.1038/ismej.2017.29 https://doi.org/10.1038/ismej.2017.29 .

Neutel A M , Heesterbeek J A P , de Ruiter P C . 2002 . Stability in real food webs: weak links in long loops . Science , 296 ( 5570 ): 1120 - 1123 , https://doi.org/10.1126/science.1068326 https://doi.org/10.1126/science.1068326 .

Okuyama T , Holland J N . 2008 . Network structural properties mediate the stability of mutualistic communities . Ecology Letters , 11 ( 3 ): 208 - 216 , https://doi.org/10.1111/j.1461-0248.2007.01137.x https://doi.org/10.1111/j.1461-0248.2007.01137.x .

Olesen J M , Bascompte J , Dupont Y L et al . 2007 . The modularity of pollination networks . Proceedings of the National Academy of Sciences of the United States of America , 104 ( 50 ): 19891 - 19896 , https://doi.org/10.1073/pnas.0706375104 https://doi.org/10.1073/pnas.0706375104 .

Pan Y B , Yang J , McManus G B et al . 2020 . Insights into protist diversity and biogeography in intertidal sediments sampled across a range of spatial scales . Limnology and Oceanography , 65 ( 5 ): 1103 - 1115 , https://doi.org/10.1002/lno.11375 https://doi.org/10.1002/lno.11375 .

Pande S , Kost C . 2017 . Bacterial unculturability and the formation of intercellular metabolic networks . Trends in Microbiology , 25 ( 5 ): 349 - 361 , https://doi.org/10.1016/j.tim.2017.02.015 https://doi.org/10.1016/j.tim.2017.02.015 .

Peng G S , Wu J . 2016 . Optimal network topology for structural robustness based on natural connectivity . Physica A : Statistical Mechanics and Its Applications , 443 : 212 - 220 , https://doi.org/10.1016/j.physa.2015.09.023 https://doi.org/10.1016/j.physa.2015.09.023 .

Persson O P , Pinhassi J , Riemann L et al . 2009 . High abundance of virulence gene homologues in marine bacteria . Environmental Microbiology , 11 ( 6 ): 1348 - 1357 , https://doi.org/10.1111/j.1462-2920.2008.01861.x https://doi.org/10.1111/j.1462-2920.2008.01861.x .

Pimm S L . 1979 . The structure of food webs . Theoretical Population Biology , 16 ( 2 ): 144 - 158 , https://doi.org/10.1016/0040-5809(79)90010-8 https://doi.org/10.1016/0040-5809(79)90010-8 .

Quast C , Pruesse E , Yilmaz P et al . 2013 . The SILVA ribosomal RNA gene database project: improved data processing and web-based tools . Nucleic Acids Research , 41 ( D1 ): D590 - D596 , https://doi.org/10.1093/nar/gks1219 https://doi.org/10.1093/nar/gks1219 .

Ren L J , Song X Y , He D et al . 2019 . Bacterioplankton metacommunity processes across thermal gradients: weaker species sorting but stronger niche segregation in summer than in winter in a subtropical bay . Applied and Environmental Microbiology , 85 ( 2 ): e02088 - 18 , https://doi.org/10.1128/AEM.02088-18 https://doi.org/10.1128/AEM.02088-18 .

Rognes T , Flouri T , Nichols B et al . 2016 . VSEARCH: a versatile open source tool for metagenomics . PeerJ , 4 : e2584 , https://doi.org/10.7717/peerj.2584 https://doi.org/10.7717/peerj.2584 .

Santoferrara L F , Rubin E , Mcmanus G B . 2018 . Global and local DNA (meta)barcoding reveal new biogeography patterns in tintinnid ciliates . Journal of Plankton Research , 40 ( 3 ): 209 - 221 , https://doi.org/10.1093/plankt/fby011 https://doi.org/10.1093/plankt/fby011 .

Shi Y , Fan K K , Li Y T et al . 2019 . Archaea enhance the robustness of microbial Co-occurrence networks in Tibetan Plateau soils . Soil Science Society of America Journal , 83 ( 4 ): 1093 - 1099 , https://doi.org/10.2136/sssaj2018.11.0426 https://doi.org/10.2136/sssaj2018.11.0426 .

Simon M , Scheuner C , Meier-Kolthoff J P et al . 2017 . Phylogenomics of Rhodobacteraceae reveals evolutionary adaptation to marine and non-marine habitats . The ISME Journal , 11 ( 6 ): 1483 - 1499 , https://doi.org/10.1038/ismej.2016.198 https://doi.org/10.1038/ismej.2016.198 .

Skovgaard A . 2014 . Dirty tricks in the plankton: diversity and role of marine parasitic protists . Acta Protozoologica , 53 ( 1 ): 51 - 62 , https://doi.org/10.4467/16890027ap.14.006.1443 https://doi.org/10.4467/16890027ap.14.006.1443 .

Solow A R , Costello C , Beet A . 1999 . On an early result on stability and complexity . The American Naturalist , 154 ( 5 ): 587 - 588 , https://doi.org/10.1086/303265 https://doi.org/10.1086/303265 .

Tan S J , Zhou J , Zhu X S et al . 2015 . An association network analysis among microeukaryotes and bacterioplankton reveals algal bloom dynamics . Journal of Phycology , 51 ( 1 ): 120 - 132 , https://doi.org/10.1111/jpy.12259 https://doi.org/10.1111/jpy.12259 .

Thébault E , Fontaine C . 2010 . Stability of ecological communities and the architecture of mutualistic and trophic networks . Science , 329 ( 5993 ): 853 - 856 , https://doi.org/10.1126/science.1188321 https://doi.org/10.1126/science.1188321 .

Toju H , Peay K G , Yamamichi M et al . 2018 . Core microbiomes for sustainable agroecosystems . Nature Plants , 4 ( 5 ): 247 - 257 , https://doi.org/10.1038/s41477-018-0139-4 https://doi.org/10.1038/s41477-018-0139-4 .

Tsoy O V , Ravcheev D A , Čuklina J et al . 2016 . Nitrogen fixation and molecular oxygen: comparative genomic reconstruction of transcription regulation in Alphaproteobacteria . Frontiers in Microbiology , 7 : 1343 , https://doi.org/10.3389/fmicb.2016.01343 https://doi.org/10.3389/fmicb.2016.01343 .

Vacher C , Tamaddoni-Nezhad A , Kamenova S et al . 2016 . Learning ecological networks from next-generation sequencing data . Advances in Ecological Research , 54 : 1 - 39 , https://doi.org/10.1016/bs.aecr.2015.10.004 https://doi.org/10.1016/bs.aecr.2015.10.004 .

Wan X L , Gao Q , Zhao J S et al . 2020 . Biogeographic patterns of microbial association networks in paddy soil within Eastern China . Soil Biology and Biochemistry , 142 : 107696 , https://doi.org/10.1016/j.soilbio.2019.107696 https://doi.org/10.1016/j.soilbio.2019.107696 .

Wang Z , Juarez D L , Pan J F et al . 2019 . Microbial communities across nearshore to offshore coastal transects are primarily shaped by distance and temperature . Environmental Microbiology , 21 ( 10 ): 3862 - 3872 , https://doi.org/10.1111/1462-2920.14734 https://doi.org/10.1111/1462-2920.14734 .

Wu H Y , Chen K L , Chen Z H et al . 2012 . Evaluation for the ecological quality status of coastal waters in East China Sea using fuzzy integrated assessment method . Marine Pollution Bulletin , 64 ( 3 ): 546 - 555 , https://doi.org/10.1016/j.marpolbul.2011.12.022 https://doi.org/10.1016/j.marpolbul.2011.12.022 .

Xie B , Huang J J , Huang C et al . 2020 . Stable isotopic signatures (δ 13 C and δ 15 N) of suspended particulate organic matter as indicators for fish cage culture pollution in Sansha Bay, China . Aquaculture , 522 : 735081 , https://doi.org/10.1016/j.aquaculture.2020.735081 https://doi.org/10.1016/j.aquaculture.2020.735081 .

Xing X L , Lin X Y , Chen C P et al . 2008 . Observations of several cryptomonad flagellates from China Sea by scanning electron microscopy . Journal of Systematics and Evolution , 46 ( 2 ): 205 - 212 , https://doi.org/10.3724/Sp.J.1002.2008.07073 https://doi.org/10.3724/Sp.J.1002.2008.07073 .

Xue Y G , Liu F , Sun M et al . 2018a . Community structure and influencing factors of bacterioplankton in spring in Zhushan Bay, Lake Taihu . Environmental Science , 39 ( 3 ): 1151 - 1158 , https://doi.org/10.13227/j.hjkx.201707164. https://doi.org/10.13227/j.hjkx.201707164. (in Chinese with English abstract)

Xue Y Y , Chen H H , Yang J R et al . 2018b . Distinct patterns and processes of abundant and rare eukaryotic plankton communities following a reservoir cyanobacterial bloom . The ISME Journal , 12 ( 9 ): 2263 - 2277 , https://doi.org/10.1038/s41396-018-0159-0 https://doi.org/10.1038/s41396-018-0159-0 .

Yuan M M , Guo X , Wu L W et al . 2021 . Climate warming enhances microbial network complexity and stability . Nature Climate Change , 11 ( 4 ): 343 - 348 , https://doi.org/10.1038/s41558-021-00989-9 https://doi.org/10.1038/s41558-021-00989-9 .

Zamora-Terol S , Novotny A , Winder M . 2021 . Molecular evidence of host-parasite interactions between zooplankton and Syndiniales . Aquatic Ecology , 55 ( 1 ): 125 - 134 , https://doi.org/10.1007/s10452-020-09816-3 https://doi.org/10.1007/s10452-020-09816-3 .

Zancarini A , Echenique-Subiabre I , Debroas D et al . 2017 . Deciphering biodiversity and interactions between bacteria and microeukaryotes within epilithic biofilms from the Loue River, France . Scientific Reports , 7 ( 1 ): 4377 , https://doi.org/10.1038/s41598-017-04016-w https://doi.org/10.1038/s41598-017-04016-w .

Zhang W J , Pan Y B , Yu L Y et al . 2017 . Genetic diversity patterns of microeukaryotic plankton communities in Shenhu Bay, southeast China . Continental Shelf Research , 141 : 68 - 75 , https://doi.org/10.1016/j.csr.2017.05.005 https://doi.org/10.1016/j.csr.2017.05.005 .

Zhou J Z , Deng Y , Luo F et al . 2010 . Functional molecular ecological networks . mBio , 1 ( 4 ): e00169 - 10 , https://doi.org/10.1128/mBio.00169-10 https://doi.org/10.1128/mBio.00169-10 .

Zhou J Z , Deng Y , Luo F et al . 2011 . Phylogenetic molecular ecological network of soil microbial communities in response to elevated CO 2 . mBio , 2 ( 4 ): e00122 - 11 , https://doi.org/10.1128/mBio.00122-11 https://doi.org/10.1128/mBio.00122-11 .

Zhu C M , Zhang J Y , Nawaz M Z et al . 2019 . Seasonal succession and spatial distribution of bacterial community structure in a eutrophic freshwater Lake, Lake Taihu . Science of the Total Environment , 669 : 29 - 40 , https://doi.org/10.1016/j.scitotenv.2019.03.087 https://doi.org/10.1016/j.scitotenv.2019.03.087 .

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