Salinity Effect on Soil Bacterial and Archaeal Diversity and Assembly in Phragmites australis Salt Marshes in the Qaidam Basin, China Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.3390/microorganisms13061253
Extreme environments foster phylogenetically diverse microorganisms and unique community assembly patterns. Plateau saline marsh lakes represent understudied extreme habitats characterized by dual stressors of high salinity and low temperature. Here, we analyzed the soil bacterial and archaeal diversity in three salt marshes of the Qaidam Basin on the Qinghai-Tibetan Plateau, China. While the bacterial and archaeal alpha diversity showed no significant differences among the three salt marshes, the community composition varied significantly. Notably, soil salinity (indicated by electric conductivity, EC) exerted opposing effects on microbial diversity—suppressing bacterial while promoting archaeal communities. Stochastic processes were the predominant mechanism for both bacterial and archaeal community assembly, where the weights were, in descending order, drift, homogeneous selection, and dispersal limitation. Network analysis revealed predominantly positive co-occurrence patterns within both bacterial and archaeal communities. We did not find a direct relationship between any bacterial or archaeal co-occurrence network properties and soil EC, but there was a significant correlation of network complexity to microbial diversity, which was influenced by EC. Our findings indicate distinct responses of bacterial and archaeal diversity to varying salinity levels, while the underlying assembly processes appear to be conserved in driving shifts in community diversity in plateau salt marsh wetlands.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/microorganisms13061253
- https://www.mdpi.com/2076-2607/13/6/1253/pdf?version=1748503425
- OA Status
- gold
- References
- 58
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410869506
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410869506Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/microorganisms13061253Digital Object Identifier
- Title
-
Salinity Effect on Soil Bacterial and Archaeal Diversity and Assembly in Phragmites australis Salt Marshes in the Qaidam Basin, ChinaWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-29Full publication date if available
- Authors
-
Pengcheng Zhu, Yuhui Wang, Wenyi Sheng, M. Y. Yu, Wei Wei, Wenlong Sun, Jian Gao, Zhenwei Xu, Ming Cao, Yuzhi Wang, Lele Liu, Weihua GuoList of authors in order
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https://doi.org/10.3390/microorganisms13061253Publisher landing page
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https://www.mdpi.com/2076-2607/13/6/1253/pdf?version=1748503425Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-2607/13/6/1253/pdf?version=1748503425Direct OA link when available
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Phragmites, Salt marsh, Salinity, Structural basin, China, Marsh, Soil salinity, Wetland, Diversity (politics), Ecology, Environmental science, Geography, Geology, Biology, Archaeology, Geomorphology, Sociology, AnthropologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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58Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.salt | 40, 65, 196 |
| abstract_inverted_index.soil | 33, 73, 146 |
| abstract_inverted_index.were | 93 |
| abstract_inverted_index.Basin | 45 |
| abstract_inverted_index.Here, | 29 |
| abstract_inverted_index.While | 51 |
| abstract_inverted_index.alpha | 56 |
| abstract_inverted_index.among | 62 |
| abstract_inverted_index.lakes | 14 |
| abstract_inverted_index.marsh | 13, 197 |
| abstract_inverted_index.there | 149 |
| abstract_inverted_index.three | 39, 64 |
| abstract_inverted_index.were, | 107 |
| abstract_inverted_index.where | 104 |
| abstract_inverted_index.which | 160 |
| abstract_inverted_index.while | 87, 179 |
| abstract_inverted_index.China. | 50 |
| abstract_inverted_index.Qaidam | 44 |
| abstract_inverted_index.appear | 184 |
| abstract_inverted_index.direct | 135 |
| abstract_inverted_index.drift, | 111 |
| abstract_inverted_index.foster | 2 |
| abstract_inverted_index.order, | 110 |
| abstract_inverted_index.saline | 12 |
| abstract_inverted_index.shifts | 190 |
| abstract_inverted_index.showed | 58 |
| abstract_inverted_index.unique | 7 |
| abstract_inverted_index.varied | 70 |
| abstract_inverted_index.within | 124 |
| abstract_inverted_index.Extreme | 0 |
| abstract_inverted_index.Network | 117 |
| abstract_inverted_index.Plateau | 11 |
| abstract_inverted_index.between | 137 |
| abstract_inverted_index.diverse | 4 |
| abstract_inverted_index.driving | 189 |
| abstract_inverted_index.effects | 82 |
| abstract_inverted_index.exerted | 80 |
| abstract_inverted_index.extreme | 17 |
| abstract_inverted_index.levels, | 178 |
| abstract_inverted_index.marshes | 41 |
| abstract_inverted_index.network | 143, 155 |
| abstract_inverted_index.plateau | 195 |
| abstract_inverted_index.varying | 176 |
| abstract_inverted_index.weights | 106 |
| abstract_inverted_index.Notably, | 72 |
| abstract_inverted_index.Plateau, | 49 |
| abstract_inverted_index.analysis | 118 |
| abstract_inverted_index.analyzed | 31 |
| abstract_inverted_index.archaeal | 36, 55, 89, 101, 128, 141, 173 |
| abstract_inverted_index.assembly | 9, 182 |
| abstract_inverted_index.distinct | 168 |
| abstract_inverted_index.electric | 77 |
| abstract_inverted_index.findings | 166 |
| abstract_inverted_index.habitats | 18 |
| abstract_inverted_index.indicate | 167 |
| abstract_inverted_index.marshes, | 66 |
| abstract_inverted_index.opposing | 81 |
| abstract_inverted_index.patterns | 123 |
| abstract_inverted_index.positive | 121 |
| abstract_inverted_index.revealed | 119 |
| abstract_inverted_index.salinity | 25, 74, 177 |
| abstract_inverted_index.assembly, | 103 |
| abstract_inverted_index.bacterial | 34, 53, 86, 99, 126, 139, 171 |
| abstract_inverted_index.community | 8, 68, 102, 192 |
| abstract_inverted_index.conserved | 187 |
| abstract_inverted_index.dispersal | 115 |
| abstract_inverted_index.diversity | 37, 57, 174, 193 |
| abstract_inverted_index.mechanism | 96 |
| abstract_inverted_index.microbial | 84, 158 |
| abstract_inverted_index.patterns. | 10 |
| abstract_inverted_index.processes | 92, 183 |
| abstract_inverted_index.promoting | 88 |
| abstract_inverted_index.represent | 15 |
| abstract_inverted_index.responses | 169 |
| abstract_inverted_index.stressors | 22 |
| abstract_inverted_index.wetlands. | 198 |
| abstract_inverted_index.(indicated | 75 |
| abstract_inverted_index.Stochastic | 91 |
| abstract_inverted_index.complexity | 156 |
| abstract_inverted_index.descending | 109 |
| abstract_inverted_index.diversity, | 159 |
| abstract_inverted_index.influenced | 162 |
| abstract_inverted_index.properties | 144 |
| abstract_inverted_index.selection, | 113 |
| abstract_inverted_index.underlying | 181 |
| abstract_inverted_index.composition | 69 |
| abstract_inverted_index.correlation | 153 |
| abstract_inverted_index.differences | 61 |
| abstract_inverted_index.homogeneous | 112 |
| abstract_inverted_index.limitation. | 116 |
| abstract_inverted_index.predominant | 95 |
| abstract_inverted_index.significant | 60, 152 |
| abstract_inverted_index.communities. | 90, 129 |
| abstract_inverted_index.environments | 1 |
| abstract_inverted_index.relationship | 136 |
| abstract_inverted_index.temperature. | 28 |
| abstract_inverted_index.understudied | 16 |
| abstract_inverted_index.characterized | 19 |
| abstract_inverted_index.co-occurrence | 122, 142 |
| abstract_inverted_index.conductivity, | 78 |
| abstract_inverted_index.predominantly | 120 |
| abstract_inverted_index.microorganisms | 5 |
| abstract_inverted_index.significantly. | 71 |
| abstract_inverted_index.Qinghai-Tibetan | 48 |
| abstract_inverted_index.phylogenetically | 3 |
| abstract_inverted_index.diversity—suppressing | 85 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 12 |
| citation_normalized_percentile.value | 0.20907657 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |