stochastic assembly
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2022 ◽  
Vol 806 ◽  
pp. 150569
Author(s):  
Zhenghu Zhou ◽  
Mianhai Zheng ◽  
Jianyang Xia ◽  
Chuankuan Wang

2021 ◽  
Author(s):  
Stephen Archer ◽  
Kevin Lee ◽  
Tancredi Caruso ◽  
Marcus Leung ◽  
Xinzhao Tong ◽  
...  

Abstract Atmospheric transport is critical to dispersal of microorganisms between habitats and this underpins resilience in terrestrial and marine ecosystems globally. A key unresolved question is whether microorganisms assemble to form a taxonomically distinct, geographically variable, and functionally adapted atmospheric microbiota. Here we characterised inter-continental patterns of microbial taxonomic and functional diversity in air within and above the atmospheric boundary layer and in underlying soils for 596 globally sourced samples. Bacterial and fungal assemblages in air were taxonomically structured and deviated significantly from purely stochastic assembly. Patterns differed with location and reflected underlying surface cover and environmental filtering. Source-tracking indicated a complex recruitment process involving local soils plus globally distributed inputs from drylands and the phyllosphere. Assemblages displayed stress-response and metabolic traits relevant to survival in air, and taxonomic and functional diversity were correlated with macroclimate and atmospheric variables. Our findings highlight complexity in the atmospheric microbiota that is key to understanding regional and global ecosystem connectivity.


2021 ◽  
Vol 12 ◽  
Author(s):  
Liuyang Li ◽  
Chao Wu ◽  
Danyue Huang ◽  
Changling Ding ◽  
Yuqiu Wei ◽  
...  

UCYN-A is one of the most widespread and important marine diazotrophs. Its unusual distribution in both cold/warm and coastal/oceanic waters challenges current understanding about what drives the biogeography of diazotrophs. This study assessed the community assembly processes of the nitrogen-fixing cyanobacterium UCYN-A, developing a framework of assembly processes underpinning the microbial biogeography and diversity. High-throughput sequencing and a qPCR approach targeting the nifH gene were used to investigate three tropical seas: the Bay of Bengal, the Western Pacific Ocean, and the South China Sea. Based on the neutral community model and two types of null models calculating the β-nearest taxon index and the normalized stochasticity ratio, we found that stochastic assembly processes could explain 66–92% of the community assembly; thus, they exert overwhelming influence on UCYN-A biogeography and diversity. Among the deterministic processes, temperature and coastal/oceanic position appeared to be the principal environmental factors driving UCYN-A diversity. In addition, a close linkage between assembly processes and UCYN-A abundance/diversity/drivers can provide clues for the unusual global distribution of UCYN-A.


Rice ◽  
2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Jian Xie ◽  
Xiaoqing Wang ◽  
Jiawang Xu ◽  
Hongwei Xie ◽  
Yaohui Cai ◽  
...  

Abstract Background Drought is global environmental stress that limits crop yields. Plant-associated microbiomes play a crucial role in determining plant fitness in response to drought, yet the fundamental mechanisms for maintaining microbial community stability under drought disturbances in wild rice are poorly understood. We make explicit comparisons of leaf, stem, root and rhizosphere microbiomes from the drought-tolerant wild rice (Oryza longistaminata) in response to drought stress. Results We find that the response of the wild rice microbiome to drought was divided into aboveground–underground patterns. Drought reduced the leaf and stem microbial community diversity and networks stability, but not that of the roots and rhizospheres. Contrary to the aboveground microbial networks, the drought-negative response taxa exhibited much closer interconnections than the drought-positive response taxa and were the dominant network hubs of belowground co-occurrence networks, which may contribute to the stability of the belowground network. Notably, drought induces enrichment of Actinobacteria in belowground compartments, but not the aboveground compartment. Additionally, the rhizosphere microbiome exhibited a higher proportion of generalists and broader habitat niche breadth than the microbiome at other compartments, and drought enhanced the proportion of specialists in all compartments. Null model analysis revealed that both the aboveground and belowground-community were governed primarily by the stochastic assembly process, moreover, drought decreased ‘dispersal limitation’, and enhanced ‘drift’. Conclusions Our results provide new insight into the different strategies and assembly mechanisms of the above and belowground microbial community in response to drought, including enrichment of taxonomic groups, and highlight the important role of the stochastic assembly process in shaping microbial community under drought stress.


2021 ◽  
Author(s):  
Stephen Archer ◽  
Kevin Lee ◽  
Tancredi Caruso ◽  
Marcus Leung ◽  
Xinzhao Tong ◽  
...  

Abstract Atmospheric transport is critical to dispersal of microorganisms between habitats and this underpins resilience in terrestrial and marine ecosystems globally. A key unresolved question is whether microorganisms assemble to form a taxonomically distinct, geographically variable, and functionally adapted atmospheric microbiome. Here we characterised globalscale patterns of microbial taxonomic and functional diversity in air within and above the atmospheric boundary layer and in underlying soils. Bacterial and fungal assemblages in air were taxonomically structured and deviated significantly from purely stochastic assembly. Patterns differed with location and reflected underlying surface cover and environmental filtering. Source-tracking indicated a complex recruitment process involving local soils plus globally distributed inputs from drylands and the phyllosphere. Assemblages displayed stressresponse and metabolic traits relevant to survival in air, and taxonomic and functional diversity were correlated with macroclimate and atmospheric variables. Our findings highlight complexity in the atmospheric microbiome that is key to understanding regional and global ecosystem connectivity.


2021 ◽  
Author(s):  
Jun Zhu ◽  
Hao Li ◽  
Ze-Zhou Jing ◽  
Wei Zheng ◽  
Yuan-Rong Luo ◽  
...  

Abstract BackgroundRevealing the potential divergence of gut microbiome between farmed and wild fishes, and its underlying mechanism are informative to improve its mariculture, as well as establish the molecular marker of host source tracking, which is an alternative to the yet-to-be-established host genetic marker. A candidate for testing the feasibility is the large yellow croaker, Larimichthys crocea , which is carnivorous and ranking the top maricultural fish in China with depleted wild resource and frequently farmed individuals escaping and fry releasing for wild stock enhancement. ResultsThe rectums of wild (n=212) and farmed (n=79) individuals from multiple batches were collected for the profiling of gut bacterial communities. The farmed individuals had a higher alpha diversity and lower bacterial loading than the wild individuals. The gut microbiota of the two sources exhibited divergence and high inter-batch variation, featured by the dominance of Psychrobacter spp. in the wild group. Predicted function of gut microbiome and representative isolates suggested that diet could be a key factor for the divergence, which was linked to the high ratio and diverse source of carbohydrate in formulated feed and low pH of rectum contents in farmed fishes. The non-stochastic distribution patterns of the core gut microbiota of the wild and farmed individuals indicated the feasibility of microbiota-based host source tracking through machine learning algorithm. Random forest classifier building on the divergence and non-stochastic assembly of gut microbiome was robust in host source tracking for individuals from all batches including a newly introduced batch. ConclusionsOur study revealed the divergence of the gut microbiota between wild and farmed croakers and suggested that diet change is an underlying key factor for the divergence. As the first time, we verified that with less biased datasets and non-stochastic pattern, gut microbiota can be robustly applied to the tracking of host source even in carnivorous fish.


2021 ◽  
pp. 126083
Author(s):  
Liyuan Hou ◽  
Hongjie Wang ◽  
Qingfu Chen ◽  
Jian-Qiang Su ◽  
Mahmoud Gad ◽  
...  

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