The large-scale spatial patterns of ecological networks between phytoplankton and zooplankton in coastal marine ecosystems

Zhang, Zheng; Li, Hongjun; Shen, Wei; Du, Xiongfeng; Li, Shuzhen; Wei, Ziyan; Zhang, Zhaojing; Feng, Kai; Deng, Ye

doi:10.1016/j.scitotenv.2022.154285

Cited by 11 publications

(10 citation statements)

References 86 publications

(46 reference statements)

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“…Meanwhile, clustering coefficient, connectance, links per species, and modularity showed more complex and compact bacterial-fungal associations in MTD indigenous microbiota. 29,43 By contrast, the biotic factors reduced the average path length and vulnerability, which was consistent with the invulnerability test (Fig. 5B), indicating that the biotic factors enhanced the community competition and the robustness of the ecological network.…”

Section: Wileyonlinelibrarycom/jsfasupporting

confidence: 82%

Synergistic effect of biotic and abiotic factors drives microbiota succession and assembly in medium‐temperature Daqu

Pan

Huang

Zhang³

et al. 2023

J Sci Food Agric

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BACKGROUND The feasibility of fortification techniques to improve the quality of medium‐temperature Daqu (MTD) by inoculation functional isolates has been demonstrated. However, it is unclear what is the effect of inoculation on the controllability during the MTD fermentation process. Here, inoculated a single strain of Bacillus licheniformis, and the microbiota composed of Bacillus velezensis and Bacillus subtilis, were used to investigate the synergistic effect of biotic and abiotic factors on the succession and assembly of the MTD microbiota during the process. RESULTS The biotic factors promoted the proliferation of microorganisms that arrived early at the MTD. Subsequently, this alteration might inhibit microorganisms that colonized later in the MTD microecosystem, thereby assembling a different but more stable microbial community. Moreover, the biotic factors making bacterial community assembly were dominated by variable selection earlier, whereas the fungal community assembly was dominated mainly by extreme abiotic factors rather than biotic factors. Interestingly, fermentation temperature and moisture were significantly associated with the succession and assembly of the fortified MTD community. Meanwhile, the effect of the environmental variables on endogenous variables was also significant. Thus, changes in endogenous variables could be mitigated by adjusting environmental variables to regulate the process of MTD fermentation. CONCLUSION Biotic factors cause rapid changes of the microbiota during the MTD fermentation process, which could be controlled indirectly by regulating environmental variables. Meanwhile, a more stable MTD ecological network might be beneficial for enhancing the stability of MTD quality. © 2023 Society of Chemical Industry.

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Section: Wileyonlinelibrarycom/jsfasupporting

confidence: 82%

Synergistic effect of biotic and abiotic factors drives microbiota succession and assembly in medium‐temperature Daqu

Pan

Huang

Zhang³

et al. 2023

J Sci Food Agric

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“…Until now, our understanding of the association between microbes and grasses had been largely limited to linear descriptive analysis, such that the relative importance of cooperation or competition between microbes and grasses has remained largely unresolved. Microorganisms develop interactions within certain ecological niches, such as commensalism, competition, and predation (Barberan et al, 2012 ; Faust and Raes, 2012 ), which can be revealed by microbial IDEN analysis (Feng et al, 2019 , 2022 ; Zhou et al, 2021 ; Zhang et al, 2022 ). Synergistic interactions between microbes and plants are helpful to promote the sustainable development of grassland plant productivity and stability of grassland ecosystems.…”

Section: Discussionmentioning

confidence: 99%

“…To elucidate the associations between grasses and soil microorganisms, bipartite ecological networks were constructed using the iNAP workflow ( http://mem.rcees.ac.cn:8081 ) with a SparCC approach specifically designed to process the constituent data (Feng et al, 2017 , 2022 ; Zhang et al, 2022 ). Uncorrelated associations in the matrix were filtered at a threshold of 0.3 and significance of 0.05 to generate a bipartite network.…”

Section: Methodsmentioning

confidence: 99%

Grass-microbial inter-domain ecological networks associated with alpine grassland productivity

et al. 2023

Self Cite

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Associations between grasses and soil microorganisms can strongly influence plant community structures. However, the associations between grass productivity and diversity and soil microbes, as well as the patterns of co-occurrence between grass and microbes remain unclear. Here, we surveyed grass productivity and diversity, determined soil physicochemical, and sequenced soil archaea, bacteria and fungi by metabarcoding technology at 16 alpine grasslands. Using the Distance-decay relationship, Inter-Domain Ecological Network (IDEN), and Mantel tests, we investigated the relationship between grass productivity, diversity and microbial diversity, and the patterns of co-occurrence between grass and microbial inter-domain network in alpine grassland. We found the archaea richness, bacteria richness and Shannon, and fungi α-diversity were significantly negatively correlation with grass diversity, but archaea and bacteria diversity were positively correlation with grass productivity. Moreover, an increase in microbial β-diversity was observed along with increased discrepancy in grass diversity and productivity and soil variables. Variance partitioning analysis suggested that the contribution of grass productivity on microbial community was higher than that of soil variables and grass diversity, which implies that microbial community was more related to grass productivity. Inter-Domain Ecological Network showed that the grass species formed complex and stable ecological networks with some bacterial, archaeal, and fungal species, and the grass-fungal ecological networks showed the highest robustness, which indicated that soil fungi could better co-coexist with aboveground grass in alpine grasslands. Besides, the connectivity degrees of the grass-microbial network were significantly positively correlated with grass productivity, suggesting that the coexistence pattern of grasses and microbes had a positive feedback effect on the grass productivity. The results are important for establishing the regulatory mechanisms between plants and microorganisms in alpine grassland ecosystems.

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“…We previously compiled a data set that was analyzed for plankton composition and the spatial patterns of phytoplankton and zooplankton interactions. Water samples were collected from 251 locations along the Chinese coastline from August to October 2017 ( 41 ), and these were visualized using ArcMap 10.3 ( Fig. S1A ).…”

Section: Methodsmentioning

confidence: 99%

“…In this study, a total of 251 seawater samples from 12 different areas were collected, covering 13,000 km of Chinese coastline between 20°N and 40°N. Our previous study found a clear latitudinal pattern for phytoplanktonic and zooplanktonic diversity as well as the phyto-zooplankton interaction network, but the effect of zooplanktonic body size on PZNs stability has not been sufficiently explored, relative to the geographic patterns of diversity and interactions ( 41 ). Here, we constructed separate PZNs for 12 sampling sites to test the effects of zooplanktonic body size on the stability of PZNs.…”

Section: Introductionmentioning

confidence: 99%

The Stability of Phyto-Zooplanktonic Networks Varied with Zooplanktonic Sizes in Chinese Coastal Ecosystem

Zheng

Shen

et al. 2022

mSystems

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Body size is a key life trait of aquatic plankton that affects organisms’ metabolic rates and ecological functions; however, its specific effects on interactions between phytoplankton and zooplankton are poorly understood. We collected planktonic species and their body size data along more than 13,000 kilometers of coastline to explore the role of zooplanktonic body size in maintaining the stability of phyto-zooplanktonic networks (PZNs).

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The large-scale spatial patterns of ecological networks between phytoplankton and zooplankton in coastal marine ecosystems

Cited by 11 publications

References 86 publications

Synergistic effect of biotic and abiotic factors drives microbiota succession and assembly in medium‐temperature Daqu

Synergistic effect of biotic and abiotic factors drives microbiota succession and assembly in medium‐temperature Daqu

Grass-microbial inter-domain ecological networks associated with alpine grassland productivity

The Stability of Phyto-Zooplanktonic Networks Varied with Zooplanktonic Sizes in Chinese Coastal Ecosystem

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