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POPULATION DYNAMICS OF THE MICROBIOTA IN THE LITTER OF TWO TREE SPECIES OF THE ATLANTIC FOREST
Author(s) -
Fabiana Rodrigues Baldez,
Marcos Gervásio Pereira,
Tatiana Saldanha,
Wilbert Valkinir Cabreira,
Cristiane Figueira da Silva,
Marcelo Elias Fraga
Publication year - 2020
Publication title -
floresta
Language(s) - English
Resource type - Journals
eISSN - 1982-4688
pISSN - 0015-3826
DOI - 10.5380/rf.v50i3.61279
Subject(s) - nutrient , litter , plant litter , phosphorus , microorganism , population , biology , ecosystem , botany , ecology , bacteria , chemistry , genetics , demography , organic chemistry , sociology
This study analyzes microbiota population dynamics as a function of nutrient release rate during litter decomposition. For that, we observed two tree species native to the Atlantic Forest: brazilwood (Paubrasilia echinata) and inga (Inga laurina). To assess nitrogen (N), phosphorus (P), and potassium (K) release rates from the litter, we performed six collections over 365 days. In these collections, we placed polyvinyl bags called ‘litter bags’ below the treetops of the chosen species to collect dry leaves. To identify the groups of litter microorganisms (fungi, bacteria, and actinomycetes), we used the plate culture method to count the number of colony-forming units (CFU), and the fatty acid profile method, through biomarkers, associating nutrient release rate and abiotic factors (temperature and rainfall). Nutrient release rate correlates with litter decomposition at 140 days, and most microorganisms correlate with litter decomposition at 30 days. Nitrogen and phosphorus release rates correlate with rainfall. Fungi correlate with P release rate in inga litter decomposition. The bacteria biomarker 17:1 was the only one that correlated with N and P release rates. In conclusion, rainfall affects nutrient solubilization in the studied species, and microbiota differs between the species. When comparing the two methods to identify these microorganisms, information from one method complements information from the other, since both provide different but interdependent data.

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