Changes in diazotrophic community structure associated with Kuroshio succession in the northern South China Sea
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Published:2024-05-27
Issue:10
Volume:21
Page:2529-2546
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ISSN:1726-4189
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Container-title:Biogeosciences
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language:en
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Short-container-title:Biogeosciences
Author:
Zhang HanORCID, Mai Guangming, Luo Weicheng, Chen MengORCID, Duan Ran, Shi TuoORCID
Abstract
Abstract. Kuroshio intrusion (KI) is a key process that transports water from the western Pacific Ocean to the northern South China Sea (nSCS), where KI-induced surface water mixing often causes variations in microbial assemblages. Yet, how interannual KIs affect the biogeography of diazotrophs and associated environmental factors remains poorly characterized. Here, by quantifying the degree of KIs in 2 consecutive years, coupled with monitoring the diversity and distribution of nitrogenase-encoding nifH phylotypes with quantitative PCR and high-throughput sequencing, we show that changes in the diazotrophic community structure in the nSCS are highly correlated with KI-induced variations in a range of physicochemical parameters. Specifically, the filamentous cyanobacteria in the genus Trichodesmium were more abundant at stations strongly affected by KI and thereby with a deeper mixed layer and higher surface salinity and temperature; the unicellular N2-fixing cyanobacteria in group B (UCYN-B) were more abundant at stations least affected by KI and correlated with nutrient availability, whereas UCYN-C and the γ-proteobacteria were prevalent at stations moderately affected by KI. The neutral community model further demonstrated that dominant diazotrophic subcommunities were significantly affected by environmental factors in 2017 when KI was stronger compared to 2018 when KI retreated. Our analyses provide insightful evidence for the role of KI in shaping the diazotrophic community structure primarily as a stochastic process, implying a potential region-scale redistribution of diazotrophs and nitrogen budget, given that KIs are projected to intensify in a future warming ocean.
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Reference105 articles.
1. Acinas, S. G., Sánchez, P., Salazar, G., Cornejo-Castillo, F. M., Sebastián, M., Logares, R., Royo-Llonch, M., Paoli, L., Sunagawa, S., Hingamp, P., Ogata, H., Lima-Mendez, G., Roux, S., González, J. M., Arrieta, J. M., Alam, I. S., Kamau, A., Bowler, C., Raes, J., Pesant, S., Bork, P., Agustí, S., Gojobori, T., Vaqué, D., Sullivan, M. B., Pedrós-Alió, C., Massana, R., Duarte, C. M., and Gasol, J. M.: Deep ocean metagenomes provide insight into the metabolic architecture of bathypelagic microbial communities, Commun. Biol., 4, 604, https://doi.org/10.1038/s42003-021-02112-2, 2021. 2. Benavides, M., Bonnet, S., Le Moigne, F. A. C., Armin, G., Inomura, K., Hallstrøm, S., Riemann, L., Berman-Frank, I., Poletti, E., Garel, M., Grosso, O., Leblanc, K., Guigue, C., Tedetti, M., and Dupouy, C.: Sinking Trichodesmium fixes nitrogen in the dark ocean, ISME J., 16, 2398–2405, https://doi.org/10.1038/s41396-022-01289-6, 2022. 3. Blanchet, F. G., Legendre, P., and Borcard, D.: Forward selection of explanatory variables, Ecology, 89, 2623–2632, https://doi.org/10.1890/07-0986.1, 2008. 4. Borcard, D. and Legendre, P.: All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices, Ecol. Model., 153, 51–68, https://doi.org/10.1016/S0304-3800(01)00501-4, 2002. 5. Bombar, D., Paerl, R. W., and Riemann, L.: Marine non-cyanobacterial diazotrophs: Moving beyond molecular detection, Trends Microbiol., 24, 916–927, https://doi.org/10.1016/j.tim.2016.07.002, 2016.
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