Spatio-temporal changes of small protist and free-living bacterial communities in a temperate dimictic lake: insights from metabarcoding and machine learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F24%3A00597518" target="_blank" >RIV/60077344:_____/24:00597518 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1093/femsec/fiae104" target="_blank" >https://doi.org/10.1093/femsec/fiae104</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/femsec/fiae104" target="_blank" >10.1093/femsec/fiae104</a>
Alternative languages
Result language
angličtina
Original language name
Spatio-temporal changes of small protist and free-living bacterial communities in a temperate dimictic lake: insights from metabarcoding and machine learning
Original language description
Microbial communities, which include prokaryotes and protists, play an important role in aquatic ecosystems and influence ecological processes. To understand these communities, metabarcoding provides a powerful tool to assess their taxonomic composition and track spatio-temporal dynamics in both marine and freshwater environments. While marine ecosystems have been extensively studied, there is a notable research gap in understanding eukaryotic microbial communities in temperate lakes. Our study addresses this gap by investigating the free-living bacteria and small protist communities in Lake Ro & sacute, (Poland), a dimictic temperate lake. Metabarcoding analysis revealed that both the bacterial and protist communities exhibit distinct seasonal patterns that are not necessarily shaped by dominant taxa. Furthermore, machine learning and statistical methods identified crucial amplicon sequence variants (ASVs) specific to each season. In addition, we identified a distinct community in the anoxic hypolimnion. We have also shown that the key factors shaping the composition of analysed community are temperature, oxygen, and silicon concentration. Understanding these community structures and the underlying factors is important in the context of climate change potentially impacting mixing patterns and leading to prolonged stratification.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10606 - Microbiology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
FEMS Microbiology Ecology
ISSN
0168-6496
e-ISSN
1574-6941
Volume of the periodical
100
Issue of the periodical within the volume
8
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
fiae104
UT code for WoS article
001284966400001
EID of the result in the Scopus database
2-s2.0-85200744082