Sedimentary DNA reveals the link between microbial community dynamics and climate during the late last glaciation in the offshore region of the Zambezi River, Southwest Indian Ocean.
Sedimentary DNA reveals the link between microbial community dynamics and climate during the late last glaciation in the offshore region of the Zambezi River, Southwest Indian Ocean.
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沉积 DNA 揭示了西南印度洋赞比西河近海地区末次冰期末期微生物群落动态与气候之间的联系。
DOI：
10.1016/j.scitotenv.2023.167787
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发表时间：
2024
期刊：
影响因子：
--
通讯作者：
Li H
中科院分区：
文献类型：
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作者：
Li H
重建微生物群落与过去气候突变之间的关系对于理解当前生物多样性格局和预测未来气候情景下的变化具有重要意义。然而，由于缺乏这方面的研究，目前对微生物群落如何响应关键环境阶段的变化知之甚少。在这里，我们研究了细菌，古菌，真菌群落的变化，从沉积在赞比西河近海地区之间的21.7和9.6万年前（ka）（覆盖末次冰期最大，或LGM，和全新世早期）使用DNA元巴编码方法通过高通量测序。结果表明：（1）微生物群落在3个关键时间段上存在差异，末次冰消期的原核生物群落最为均一，而末次冰期的真菌群落与全新世早期的差异最大：（2）温暖的全新世早期的多样性最高，而末次冰期的多样性最低;所选指示种较好地反映了不同环境阶段的气候特征。这些结果突出了古代沉积DNA的力量，以完善我们的理解在大型河流附近的海洋沉积系统中的微生物动力学，从而为更好地模拟生态过程在进一步的研究提供了基础。
Reconstructing the relationship between microbial communities and past abrupt climate change is of great importance for understanding current biodiversity patterns and predicting changes under future climate scenarios. However, little is currently known about how microbial communities respond to changes in key environmental stages due to a lack of research in this area. Here, we examine the variability in the communities of bacteria, archaea, and fungi from sediments deposited offshore region of the Zambezi River between 21.7 and 9.6 thousand years ago (ka) (covering the last glacial maximum, or LGM, and the early Holocene) using DNA metabarcoding approach via high-throughput sequencing. The results showed that (1) microbial assemblages differed across three key time intervals, with the last deglaciation having the most homogeneous prokaryotic assemblages, while for fungal communities in the LGM, and the early Holocene and LGM differing the most; (2) the warm early Holocene showed the highest diversity, whereas the lowest diversity was found in the LGM; and (3) the selected indicator species better reflected the climatic characteristics of different environmental stages. These results highlight the power of ancient sedimentary DNA to refine our understanding of microbial dynamics in marine sedimentary systems near large rivers, thus providing a basis for better modeling ecological processes in further research.