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Dynamics of methane and sulfur microbial communities in Amazonian soils

Grant number: 18/14974-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): January 01, 2019
Effective date (End): February 28, 2021
Field of knowledge:Agronomical Sciences - Agronomy
Principal Investigator:Tsai Siu Mui
Grantee:Júlia Brandão Gontijo
Home Institution: Centro de Energia Nuclear na Agricultura (CENA). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
Associated research grant:14/50320-4 - Dimensions US-BIOTA - São Paulo: collaborative research: integrating dimensions of microbial biodiversity across land use change in tropical forests, AP.BTA.TEM


The Amazon Rainforest plays an essential role in global ecological processes, maintaining the world's largest rivers, controlling temperature, precipitation, and balancing atmospheric gases. Based on three complementary studies, this work will use a new approach to understand the biological cycle of CH4 and S in soils of the Eastern Amazon, investigating the importance of environmental factors (temperature and moisture). For this, we aim to understand the ecological interactions between microorganisms responsible to the CH4 and those related to the S cycle, from taxonomic and functional approaches. Using microcosm experiment, will be studied the effect of changes in temperature and moisture on the microbial communities of primary forest, secondary forest, wetland and pasture soils of the Eastern Amazon, and the impacts on CH4 and S cycles as well. Then, the data generated from the microcosm experiment will be validated on the field in the dry and rainy seasons, allowing to understand the predictive power of experiments in a controlled conditions. Finally, metagenomic data from microcosm experiment and the field will be used to recovery of partial and/or complete microbial genomes, with the possibility of discovering new taxa involved in the CH4 and S cycles, that will be added in analyzes of taxonomic and functional diversity of the studied soils. The use of different types of soils, which characterize the different landscapes of this amazonian region, will enable the generation of data for future modeling, both to understand the microbial community responses to natural temperature and moisture oscillations throughout the year, and to generate predictions regarding scenarios of changes in land use and future climate change for the Amazon Forest. (AU)

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