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Frontiers of Environmental Science & Engineering

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Front. Environ. Sci. Eng.    2022, Vol. 16 Issue (6) : 79    https://doi.org/10.1007/s11783-021-1513-4
RESEARCH ARTICLE
Distinct community assembly processes underlie significant spatiotemporal dynamics of abundant and rare bacterioplankton in the Yangtze River
Malan Yi1, Yao Fang1, Guoping Hu2, Shufeng Liu1, Jinren Ni1, Tang Liu3,4()
1. College of Environmental Sciences and Engineering, Peking University, Key Laboratory of Water and Sediment Sciences (Ministry of Education), Beijing 100871, China
2. Fluid Science and Resources Division, Department of Chemical Engineering, The University of Western Australia, Crawley, WA 6009, Australia
3. College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
4. State Environmental Protection Key Laboratory of All Material Fluxes in River Ecosystems, Peking University, Beijing 100871, China
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Abstract

• Season and landform influenced spatiotemporal patterns of abundant and rare taxa.

• Different stochastic processes dominated abundant and rare subcommunity assembly.

• River flow and suspended solids regulated assembly processes of rare taxa.

The rare microbial biosphere provides broad ecological services and resilience to various ecosystems. Nevertheless, the biogeographical patterns and assembly processes of rare bacterioplankton communities in large rivers remain uncertain. In this study, we investigated the biogeography and community assembly processes of abundant and rare bacterioplankton taxa in the Yangtze River (China) covering a distance of 4300 km. The results revealed similar spatiotemporal patterns of abundant taxa (AT) and rare taxa (RT) at both taxonomic and phylogenetic levels, and analysis of similarities revealed that RT was significantly influenced by season and landform than AT. Furthermore, RT correlated with more environmental factors than AT, whereas environmental and spatial factors explained a lower proportion of community shifts in RT than in AT. The steeper distance–decay slopes in AT indicated higher spatial turnover rates of abundant subcommunities than rare subcommunities. The null model revealed that both AT and RT were mainly governed by stochastic processes. However, dispersal limitation primarily governed the AT, whereas the undominated process accounted for a higher fraction of stochastic processes in RT. River flow and suspended solids mediated the balance between the stochastic and deterministic processes in RT. The spatiotemporal dynamics and assembly processes of total taxa were more similar as AT than RT. This study provides new insights into both significant spatiotemporal dynamics and inconsistent assembly processes of AT and RT in large rivers.
Keywords Rare taxa      Biogeography      Community assembly      Bacterioplankton      The Yangtze River     
Corresponding Author(s): Tang Liu   
Just Accepted Date: 16 September 2021   Issue Date: 25 November 2021
 Cite this article:   
Malan Yi,Yao Fang,Guoping Hu, et al. Distinct community assembly processes underlie significant spatiotemporal dynamics of abundant and rare bacterioplankton in the Yangtze River[J]. Front. Environ. Sci. Eng., 2022, 16(6): 79.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-021-1513-4
https://academic.hep.com.cn/fese/EN/Y2022/V16/I6/79
Fig.1  Environmental drivers of the total, abundant and rare bacterioplankton communities for spring (a) and autumn (b). Pairwise Pearson’s correlation coefficients among environmental factors with p?>?0.05 are showed with a color gradient. Mantel tests are performed for relating bacterial community composition (Bray-Curtis distance) with environmental factors. The edge width denotes Mantel’s r value, and edge color indicates the Mantel’s p value based on 999 permutations. These abbreviations of environmental factors are the same as those in Methods and Fig. S1.
Fig.2  Principal coordinates analysis of all samples for total (a), abundant (b) and rare (c) bacterial (sub)communities. The Bray-Curtis distance is used for quantifying the community compositional variation. Red indicates autumn, and blue indicates spring.
Fig.3  Principal coordinates analysis showing the bacterioplankton community composition among different landforms in the total-spring (a), abundant-spring (b), rare-spring (c), total-autumn (d), abundant-autumn (e), and rare-autumn (f) samples. The Bray-Curtis distance is used for quantifying the community compositional variation.
Fig.4  Distance-decay patterns based on the Bray-Curtis distance of bacterioplankton community composition and river kilometer (rkm) in spring (a) and autumn (b), respectively. The permutational test (999 times) was used for examining the statistical significance of the distance-decay slope.
Fig.5  The percent of turnover in community composition governed primarily by variable selection, homogeneous selection, dispersal limitation, homogenizing dispersal and undominated process for total community using the entire-community null model (a) and phylogenetic bin-based null model (b). Deterministic processes= homogeneous selection+ variable selection; Stochastic processes= homogenizing dispersal+ dispersal limitation+ undominated process.
Environmental factors Abundant (Mantel’s r) Rare (Mantel’s r)
Spring Autumn Spring Autumn
SO42– −0.186 −0.028 −0.066 0.252*
WH −0.101 −0.039 0.056 0.101
F– −0.090 −0.037 0.014 0.026
SS −0.141 0.097 0.209* 0.200*
Q −0.041 0.004 0.234** 0.433**
T −0.069 −0.011 0.300** 0.171
pH −0.130 0.155* 0.016 0.106
EC 0.129 −0.014 −0.009 0.363**
Cl– −0.052 0.112 −0.113 0.096
NH4+ 0.034 −0.109 0.156 0.310**
NO3– −0.039 0.065 0.132 0.049
COD −0.077 0.052 −0.151 0.162
DO 0.077 0.103 0.018 0.045
BOD 0.022 0.054 0.075 0.299**
TP −0.083 0.004 −0.068 0.034
TN 0.028 0.078 0.134 0.042
DOC 0.063 0.067 −0.042 0.102
Tab.1  Mantel analysis of the βNTI of abundant and rare taxa against environmental factors for spring and autumn. Asterisks denote significance (*, p<0.05; **, p<0.01)
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