Development of biological soil crust prompts convergent succession of prokaryotic communities

Lin, Xu; Zhu, Bingjian; Li, Chaonan; Yao, Minjie; Zhang, Bingchang; Li, Xiangzhen

doi:10.1016/j.catena.2019.104360

Cited by 34 publications

(26 citation statements)

References 76 publications

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“…In contrast, at the phylogenetic facet, five SPs were the turning point where the slope of spatial factors began to decrease ( Figure 3 ), and it also indicated the tipping point where the influences of community homogeneity began to emerge, which was mostly contributed by the widely distributed Nitrososphaeraceae ( Figure 4A ). Meanwhile, increasing homogeneity suppressed the successional driving force ( Xu et al, 2020 ), explaining our results that weaker biogeographic patterns driven by successional factors were exhibited with an increasing number of SPs considered. Overall, the spatial driving force for taxonomic and phylogenetic variation was not synchronized with the increasing SP, but the environmental and succession driving forces were synchronized.…”

Section: Discussionsupporting

confidence: 59%

“…Our results revealed that macroclimates explained more variation in archaeal communities than microenvironments ( Supplementary Figure 2 ). In recent studies, succession as a factor that converged community differences has been revealed in bacterial and eukaryotic communities in biocrusts ( Xu et al, 2020 ; Li and Hu, 2021 ), and comparable but lesser effects of succession have been observed in archaeal communities ( Figure 3 ). Therefore, the ability of various microorganisms to self-organize coincided with temporal trends in the biocrust ecosystem.…”

Section: Discussionmentioning

confidence: 83%

“…Our results showed that there were more macroclimate factors than microenvironments in factors that had greater explanation compared to succession factor ( Supplementary Figure 1 ). This may result in a consequence of that the archaeal community variations in the same successional stage exceed the variations between successional stages ( Figure 2B ), which was quite distinct from the successional convergence of prokaryotic community in biocrusts ( Xu et al, 2020 ). In other words, the criterion of classification for different successional stages of biocrusts based on the dominant cryptogamous plants was not applicable to the archaeal communities’ development.…”

Section: Discussionmentioning

confidence: 94%

“…Furthermore, there should be more isolated species pools (SPs) due to the susceptible community heterogeneity of archaea, which has also altered biogeographic patterns ( Wang et al, 2013b ; Fukami, 2015 ). In addition, community heterogeneity converging along with succession ( Ortiz-Alvarez et al, 2018 ; Xu et al, 2020 ; Gao et al, 2021 ) was another influencing factor while remaining unclear in archaea. Therefore, a comprehensive study incorporating these factors needs to be conducted urgently.…”

Section: Introductionmentioning

confidence: 99%

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Biogeographic, Driving Factors, Assembly, and Co-occurrence Patterns of Archaeal Community in Biocrusts

Wei

Yang

et al. 2022

Front. Microbiol.

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Archaea exhibit strong community heterogeneity with microhabitat gradients and are a non-negligible part of biocrust’s microorganisms. The study on archaeal biogeography in biocrusts could provide new insights for its application in environmental restoration. However, only a few studies on assembly processes and co-occurrence patterns of the archaeal community in patchy biocrusts have been reported, especially considering the number of species pools (SPs). Here, we comprehensively collected biocrusts across 3,500 km of northern China. Different successional biocrusts from various regions contain information of local climate and microenvironments, which can shape multiple unique archaeal SPs. The archaeal community differences in the same successional stage exceeded the variations between successional stages, which was due to the fact that the heterogeneous taxa tended to exchange between unknown patches driven by drift. We also comparatively studied the driving forces of community heterogeneity across three to ten SPs, and assembly and co-occurrence patterns were systematically analyzed. The results revealed that the impact of spatial factors on biogeographic patterns was greater than that of environmental and successional factors and that impact decreased with the number of SPs considered. Meanwhile, community heterogeneity at the phylogenetic facet was more sensitive to these driving factors than the taxonomic facet. Subgroups 1 (SG1) and 2 (SG2) of the archaeal communities in biocrusts were dominated by Nitrososphaeraceae and Haloarchaea, respectively. The former distribution pattern was associated with non-salinity-related variables and primarily assembled by drift, whereas the latter was associated with salinity-related variables and primarily assembled by homogeneous selection. Finally, network analysis indicated that the SG1 network had a higher proportion of competition and key taxa than the SG2 network, but the network of SG2 was more complex. Our study suggested that the development of the archaeal community was not consistent with biocrusts succession. The dominant taxa may determine the patterns of community biogeography, assembly, and co-occurrence.

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Section: Discussionsupporting

confidence: 59%

Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Biogeographic, Driving Factors, Assembly, and Co-occurrence Patterns of Archaeal Community in Biocrusts

Wei

Yang

et al. 2022

Front. Microbiol.

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“…The PCR conditions for 16S rRNA gene (hypervariable regions: V3–V4) and following MiSeq sequencing were performed in a commercial company (Biobit Biotech Inc., Chengdu, China). The detailed procedures were described previously ( Xu et al, 2020 ). The V3–V4 regions of bacterial 16S rRNA genes were amplified using the universal primer pair 341F—CCTACGGGNGGCWGCAG and 805R—GACTACHVGGGTATCTAATCC ( Klindworth et al, 2012 ).…”

Section: Methodsmentioning

confidence: 99%

Decisive Effects of Life Stage on the Gut Microbiota Discrepancy Between Two Wild Populations of Hibernating Asiatic Toads (Bufo gargarizans)

et al. 2021

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Until now, the effects of driving factors on the gut microbiota of amphibians are still mostly confounded. Due to a long-term fasting, hibernating amphibians are ideal experimental materials to explore this question. In this study, we characterized the small intestine microbiota of adult hibernating Asiatic toads (Bufo gargarizans) collected from two geographical populations using 16S rRNA amplicon sequencing technique and evaluated the effects of non-dietary factors (e.g., sex and host genetic background). Proteobacteria (0.9196 ± 0.0892) was characterized as the most dominant phylum in the small gut microbiota of hibernating Asiatic toads, among which five core OTUs were identified and three were classified into Pseudomonas. In view of the coincidence between the dominant KEGG pathways (such as the two-component system) and Pseudomonas, Pseudomonas appeared to be a key adaptor for small gut microbiota during hibernation. Furthermore, we detected a greater discrepancy of gut microbiota between geographical populations than between sexes. Both sex and host genetic background showed a minor effect on the gut microbiota variation. Finally, life stage was determined to be the decisive factor driving the gut microbiota discrepancy between populations. However, a large proportion of the gut microbiota variation (∼70%) could not be explained by the measured deterministic factors (i.e., sex, location, body length, and routine blood indices). Therefore, other factors and/or stochastic processes may play key roles in shaping gut bacterial community of hibernating amphibians.

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Host selection tendency of key microbiota in arid desert lichen crusts

Zhang,

Grube,

Wei

2023

iMeta

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Development of biological soil crust prompts convergent succession of prokaryotic communities

Cited by 34 publications

References 76 publications

Biogeographic, Driving Factors, Assembly, and Co-occurrence Patterns of Archaeal Community in Biocrusts

Biogeographic, Driving Factors, Assembly, and Co-occurrence Patterns of Archaeal Community in Biocrusts

Decisive Effects of Life Stage on the Gut Microbiota Discrepancy Between Two Wild Populations of Hibernating Asiatic Toads (Bufo gargarizans)

Host selection tendency of key microbiota in arid desert lichen crusts

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