| Map showing the location of Mount Wutai and the sampling sites. High elevational gradient (HEG) (2900-3055 m) including five different elevation sampling sites (HEG1, HEG2, HEG3, HEG4, and HEG5), both medium elevational gradient (MEG) (2500-2800 m) (MEG1, MEG2, MEG3, and MEG4) and low elevational gradients (LEG) (2000-2300 m) (LEG1, LEG2, LEG3, and LEG4) including four different elevation sampling sites.

| Map showing the location of Mount Wutai and the sampling sites. High elevational gradient (HEG) (2900-3055 m) including five different elevation sampling sites (HEG1, HEG2, HEG3, HEG4, and HEG5), both medium elevational gradient (MEG) (2500-2800 m) (MEG1, MEG2, MEG3, and MEG4) and low elevational gradients (LEG) (2000-2300 m) (LEG1, LEG2, LEG3, and LEG4) including four different elevation sampling sites.

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A core issue in microbial ecology is the need to elucidate the ecological processes and underlying mechanisms involved in microbial community assembly. However, the extent to which these mechanisms differ in importance based on traits of taxa with different niche breadth is poorly understood. Here, we used high-throughput sequencing to examine the...

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... this study was conducted to : (1) describe the diversity, structure and biogeographical patterns of soil bacterial communities and subcommunities (specialists, generalists and other taxa) across elevational gradients along the slope of Mount Wutai; (2) explore the variations and drivers related to the community assembly of soil bacterial subcommunities among elevational gradients; (3) quantify the relative roles of environmental selection and space distance in the community assembly of soil bacterial taxa and differentiate the community assembly mechanisms of bacterial subcommunities with different niche breadth across elevational gradients. (Figure 1). The climate is warm temperate semi-humid. ...
Context 2
... with a B-value >8.7 were considered as habitat generalists that were present and more evenly distributed along a wider range of habitats, while OTUs with a B-value <1.5 were defined as habitat specialists ( Logares et al., 2013). B-values >8.7 and B-value <1.5 were chosen because both values were within the outlier area of the B distribution ( Figure S1). ...

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... A stochastic process refers to unpredictable events in an ecosystem governed by random factors, whereas a deterministic process is characterized by predictable and systematic influences from ecological factors. Most studies have shown that bacterial communities are influenced by deterministic (niche theory) and stochastic processes (neutral theory) [14]. In addition, studies have shown that environmental factors can regulate the balance between deterministic and stochastic processes [15]. ...
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... Therefore, the elevational patterns of biodiversity and adaptability could reflect the responses of ecosystem to future climatic scenarios (Frac et al., 2018). Yet, despite many practical studies have revealed elevational patterns of the diversity in vertebrates, macroinvertebrates, and plants (Currie & Paquin, 1987;McCain, 2005;Renaud et al., 2009), elevational patterns of soil microorganisms have limited empirical investigation, and they are inconsistent in previous studies, such as no obvious pattern (Fierer et al., 2011;Shen et al., 2013), a decline (Bahram et al., 2012;Bryant et al., 2008;Ji et al., 2022;Luo et al., 2019), hump-shaped (Miyamoto et al., 2014;Ren et al., 2021;Zhang et al., 2014), and U-shaped (Li et al., 2016). Those inconsistencies maybe related to the differences in trophic levels (fungi, bacteria, etc.), taxonomic groups (phylum level), and climatic zones (Wang et al., 2017). ...
... Based on these findings, we emphasize the importance of considering regional climatic conditions and taxonomic resolutions when studying elevation patterns of microbial diversity. and no obvious change showed in the cold-temperate forest (Ji et al., 2022;Luo et al., 2019;Nottingham et al., 2018;Ren et al., 2021;Shen et al., 2013). The different elevation patterns in bacterial species richness suggest that different environmental factors (climatic factors, spatial factors, historical factors, and disturbance factors) may be at play in each climatic region (Chalmandrier et al., 2019;Zhu et al., 2020). ...
... Bacterial richness and evenness increase with increasing pH and reach a maximum at neutral pH ( Figure 8), which is consistent with the findings of previous studies (Fierer & Jackson, 2006;Shen et al., 2019). Deviation from the neutral pH value may exert physiological constraints and the energy costs on microorganisms, which may limit the possibility of multiple species living in the same niche (Luo et al., 2019;Tripathi et al., 2012). Bacterial richness and evenness are mainly controlled by soil pH, which is consistent with the results of other microbial diversity studies (Luo et al., 2019;Shen et al., 2019;Wang et al., 2017), but the control factors for fungal richness and evenness are different. ...
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... In this study, we aimed to (i) investigate distribution patterns, evolutionary characteristics, environmental adaptability, and ecological community assembly processes of bacterioplankton generalists and specialists before and after dredging, and (ii) estimate community difference between generalists and specialists before dredging and afterwards. Considering generalists prevail in habitat niche (Luo et al., 2019;Xu et al., 2021), we hypothesized that bacterioplankton generalists rather than specialists would display stronger environmental adaptability and tend to be affected more by stochasticity. Given microbial communities show resistance to environmental change and resilience to original state (Griffiths and Philippot, 2013;Zhang et al., 2017), we also hypothesized that a short-term dredging implementing from August 2017 to March 2018 might not result in reversible community difference between bacterioplankton generalists and specialists. ...
... The generalists occupied higher habitat niche than specialists, but the specialists displayed higher abundance and richness. The results are similar to prior findings (Luo et al., 2019;Mo et al., 2021), and this might be the intrinsic properties of generalists and specialists. Generalists rather than specialists contributed more to Proteobacteria, which is in sympathy with prior findings (Liao et al., 2016;Luo et al., 2019). ...
... The results are similar to prior findings (Luo et al., 2019;Mo et al., 2021), and this might be the intrinsic properties of generalists and specialists. Generalists rather than specialists contributed more to Proteobacteria, which is in sympathy with prior findings (Liao et al., 2016;Luo et al., 2019). Specialists rather than generalists contributed more to Actinobacteria, which differs from prior findings (Liao et al., 2016;Luo et al., 2019). ...
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... Generalists are metabolically more flexible than specialists, resulting in selective advantage in frequently disturbed ecosystems ; these might thus be favored in the atmosphere. The relative abundance of Proteobacteria and Actinobacteria, which include higher proportions of generalists than other phyla, increases with altitude in soils (Luo et al., 2019); these are also frequent in viable airborne assemblages (Vaïtilingom et al., 2012). ...
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... 25 samples (approximately 10% of the total samples) were selected for network analysis and SEM. In this study, a B-value of > 78 was chosen as a cutoff criterion for generalists, as this value lies within the outlier area of the B-value distribution [44,45], whereas ASVs with B-values of < 22 were regarded as specialists (lower quartile) (Fig. S1), and the remaining ASVs were regarded as common taxa. The Shannon diversity index was calculated using functions in Vegan. ...
... These two groups, apart from being keystone microbes, were found to be the most dominant groups in both generalists (Rhizobiales) and specialists (Ktedonobacterales), highlighting their essential roles in the study sites. Previous studies have reported that Rhizobiales and Acidobacteriales are dominant bacterial groups in the Arctic region [45,46]. The average relative abundance of Rhizobiales in our study was 12.2% ± 2.3%, which is approximately five-fold higher than that in unplanted soil environments and similar to that in plant microbiota (5-17%) [25]. ...
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... Generalists are more adept at adapting to adverse conditions, while specialists are less tolerant to environmental disturbances (Sriswasdi et al., 2017). Studies have revealed that specialists are more heavily impacted by deterministic processes and are more susceptible to environmental filtering (Luo et al., 2019), while generalists are more prone to be governed by stochastic processes (Liao et al., 2016) due to their higher genetic potential for developing resistance mechanisms, such as dormancy . ...
... On the other hand, the proportion of generalists was found to be fewer, fitting to the lognormal distribution, and is expected to be driven by a niche-based model. Indeed, our Z-score variations showed that deterministic processes have a major influence on the assembly of generalists (Luo et al., 2019). ...
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... Based on this definition, Sriswasdi et al. 27 suggested an important evolutionary role for generalist species in maintaining taxonomic diversity, with generalists having higher speciation rates and persistence advantages over specialists. Others defined the niche breadth of an organism by the uniformity of its distribution across habitats 28 , suggesting that community assembly of specialists is driven by deterministic processes, whereas for generalists neutral processes are more important 29,30 . Notwithstanding these intriguing results, niche breadth studies based on occurrence in microbiomes have been sensitive to biases due to habitat definition and sample selection. ...
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Aerobic composting renders the sauerkraut fermentation waste water harmless while adding soluble nutrients. Unravelling the bacterial community assembly processes, changes in community robustness and community cohesion and the relationship between them under composting treatment of sauerkraut fermentation waste water is an interesting topic. Sauerkraut fermentation waste water was used for composting, which increased bacterial linkages, community robustness, competitive behaviour during warming periods and cooperative behaviour during cooling periods, and the control of community assembly processes shifts from deterministic processes (variable selection) to stochastic processes (decentralised limitation). At the same time, the influence of community robustness and community cohesion on community assembly processes was increased. Community cohesion and robustness were significantly correlated with community function. These results indicate that community robustness and community cohesion are critical for the biological handling of hazardous substances.