期刊
FEMS MICROBIOLOGY ECOLOGY
卷 97, 期 9, 页码 -出版社
OXFORD UNIV PRESS
DOI: 10.1093/femsec/fiab114
关键词
protists; metabarcoding; diversity; novelty; Great Lakes; Africa
类别
资金
- Spanish Ministry of Science and Technology (AGLOM project) [CGL2010-11556-E]
- Belgian Federal Science Policy Office-BELSPO (Project EAGLES)
- Fonds de la Recherche Scientifique-FNRS (Project MICKI-Microbial diversity and processes in Lake Kivu)
- FNRS
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2014/14139-3]
- Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET-Argentina)
- Conselho Nacional de Desenvolvimento e Pesquisa Tecnologica (CNPq) [309514/2017-7]
- 'Damas' mission
The study revealed a high diversity of protists in the East African Great Lakes, with a large proportion of unknown species suggesting novel diversity. Environmental factors such as geography, depth, and water properties play significant roles in shaping the protistan community composition and distribution in these lakes.
East African Great Lakes are old and unique natural resources heavily utilized by their bordering countries. In those lakes, ecosystem functioning is dominated by pelagic processes, where microorganisms are key components; however, protistan diversity is barely known. We investigated the community composition of small eukaryotes (<10 mu m) in surface waters of four African Lakes (Kivu, Edward, Albert and Victoria) by sequencing the 18S rRNA gene. Moreover, in the meromictic Lake Kivu, two stations were vertically studied. We found high protistan diversity distributed in 779 operational taxonomic units (OTUs), spanning in 11 high-rank lineages, being Alveolata (31%), Opisthokonta (20%) and Stramenopiles (17%) the most represented supergroups. Surface protistan assemblages were associated with conductivity and productivity gradients, whereas depth had a strong effect on protistan community in Kivu, with higher contribution of heterotrophic organisms. Approximately 40% of OTUs had low similarity (<90%) with reported sequences in public databases; these were mostly coming from deep anoxic waters of Kivu, suggesting a high extent of novel diversity. We also detected several taxa so far considered exclusive of marine ecosystems. Our results unveiled a complex and largely undescribed protistan community, in which several lineages have adapted to different niches after crossing the salinity boundary.
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