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Functional bioindicators for soil quality monitoring for sustainable management of sugarcane biomass production (BIOSQ)

Grant number: 11/51749-6
Support type:Program for Research on Bioenergy (BIOEN) - Regular Program Grants
Duration: July 01, 2012 - June 30, 2014
Field of knowledge:Agronomical Sciences - Agronomy
Cooperation agreement: BE-BASIC Consortium
Principal Investigator:Tsai Siu Mui
Grantee:Tsai Siu Mui
Principal investigator abroad: Eiko Eurya Kuramae
Institution abroad: Royal Netherlands Academy of Arts and Sciences, Netherlands
Home Institution: Centro de Energia Nuclear na Agricultura (CENA). Universidade de São Paulo (USP). Piracicaba , SP, Brazil

Abstract

Previous and ongoing studies of the proposed Be-basic partner have recently defined the Normal Operating Range (NOR) of microbial community structure and functional potential across a range of Dutch soils (EcoGenomics and EcoLinc projects), based upon microarray- and quantitative PCR-based technologies, utilizing an integrated approach of soil analyses, community profiling, qPCR, pyrosequencing, phylogenetic microarrays (PhyloChips) and functional microarrays (GeoChips). Of particular interest, these studies have suggested that distinct microbial groups may be indicative of specific soil conditions, e.g. pH or nutrient status, strongly suggesting that microbial bio-indicators exist in soil that might be exploited to provide rapid information on soil status. We seek in this proposal to systematically assess microbial taxonomical and functional communities more responsive to sugarcane production at different sustainable managements (no-tillage, cover trash and diazotrophic bacteria inoculation); determine the genes categories and key functions (nitrification, nitrogen fixation, denitrification) most indicative of specific soil status; determine functional bio-indicators involved in the emission/sequestration of greenhouse gas emission (C02, CH4, N20) processes; develop high throughput platform to assess and monitor taxonomical and functional bio-indicators that will be obtained in this project for sugarcane biomass production and management; apply bioinformatics tools and multivariate statistical analyses to integrate 'omics' data and soil physico-chemical data for monitoring microbes and gene functions; test and validate the Be-Basic platform in experimental stations of APTA in the São Paulo State. The aim is the identification of numerous taxonomical groups and genes that hold potential for use as bio-indicators of specific attributes of soil status, such as nutrient availability, level of disturbance and soil fertility, and provide proof-of-principle platform for soil quality assessment based on these bio-indicators. The resulting tools will be embedded in a standard approach that starts with the sampling and ends with the diagnostics. This analysis pipeline will be standardized in such a way that limited amount of expert knowledge is required. Our project will be pivotal to BIOEN/FAPESP program, which aims at assessing impacts of a bio-based economy on the environment and human safety. (AU)

Articles published in Agência FAPESP Newsletter about the research grant
Biofuels could be facilitators of food security, say researchers 

Scientific publications (10)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DE CHAVES, MIRIAM GONCALVES; SILVA, GENIVALDO GUEIROS Z.; ROSSETTO, RAFFAELLA; EDWARDS, ROBERT ALAN; TSAI, SIU MUI; NAVARRETE, ACACIO APARECIDO. Acidobacteria Subgroups and Their Metabolic Potential for Carbon Degradation in Sugarcane Soil Amended With Vinasse and Nitrogen Fertilizers. FRONTIERS IN MICROBIOLOGY, v. 10, JUL 30 2019. Web of Science Citations: 0.
NAVARRETE, ACACIO A.; MELLIS, ESTEVAO V.; ESCALAS, ARTHUR; LEMOS, LEANDRO N.; LAVRES JUNIOR, JOSE; QUAGGIO, JOSE ANTONIO; ZHOU, JIZHONG; TSAI, SIU M. Zinc concentration affects the functional groups of microbial communities in sugarcane-cultivated soil. AGRICULTURE ECOSYSTEMS & ENVIRONMENT, v. 236, p. 187-197, JAN 2 2017. Web of Science Citations: 4.
MENDES, LUCAS W.; PEREZ BRAGA, LUCAS PALMA; NAVARRETE, ACACIO A.; DE SOUZA, DENNIS GOSS; SILVA, GENIVALDO G. Z.; TSAI, SIU M. Using. Metagenomics to Connect Microbial Community Biodiversity and Functions. CURRENT ISSUES IN MOLECULAR BIOLOGY, v. 24, p. 103-118, 2017. Web of Science Citations: 0.
BRAGA, LUCAS P. P.; YOSHIURA, CAIO A.; BORGES, CLOVIS D.; HORN, MARCUS A.; BROWN, GEORGE G.; DRAKE, HAROLD L.; TSAI, SIU M. Disentangling the influence of earthworms in sugarcane rhizosphere. SCIENTIFIC REPORTS, v. 6, DEC 15 2016. Web of Science Citations: 4.
MENDES, LUCAS WILLIAM; DE LIMA BROSSI, MARIA JULIA; KURAMAE, EIKO EURYA; TSAI, SIU MUI. Land-use system shapes soil bacterial communities in Southeastern Amazon region. APPLIED SOIL ECOLOGY, v. 95, p. 151-160, NOV 2015. Web of Science Citations: 38.
NAVARRETE, ACACIO APARECIDO; SOARES, TIELLE; ROSSETTO, RAFFAELLA; VAN VEEN, JOHANNES ANTONIE; TSAI, SIU MUI; KURAMAE, EIKO EURYA. Verrucomicrobial community structure and abundance as indicators for changes in chemical factors linked to soil fertility. ANTONIE VAN LEEUWENHOEK INTERNATIONAL JOURNAL OF GENERAL AND MOLECULAR MICROBIOLOGY, v. 108, n. 3, p. 741-752, SEP 2015. Web of Science Citations: 15.
MENDES, LUCAS W.; TSAI, SIU M.; NAVARRETE, ACACIO A.; DE HOLLANDER, MATTIAS; VAN VEEN, JOHANNES A.; KURAMAE, EIKO E. Soil-Borne Microbiome: Linking Diversity to Function. MICROBIAL ECOLOGY, v. 70, n. 1, p. 255-265, JUL 2015. Web of Science Citations: 68.
NAVARRETE, ACACIO APARECIDO; DINIZ, TATIANA ROSA; PEREZ BRAGA, LUCAS PALMA; SILVA, GENIVALDO GUEIROS ZACARIAS; FRANCHINI, JULIO CEZAR; ROSSETTO, RAFFAELLA; EDWARDS, ROBERT ALAN; TSAI, SIU MUI. Multi-Analytical Approach Reveals Potential Microbial Indicators in Soil for Sugarcane Model Systems. PLoS One, v. 10, n. 6 JUN 9 2015. Web of Science Citations: 21.
LIMA, AMANDA BARBOSA; CANNAVAN, FABIANA SOUZA; NAVARRETE, ACACIO APARECIDO; TEIXEIRA, WENCESLAU GERALDES; KURAMAE, EIKO EURYA; TSAI, SIU MUI. Amazonian Dark Earth and Plant Species from the Amazon Region Contribute to Shape Rhizosphere Bacterial Communities. MICROBIAL ECOLOGY, v. 69, n. 4, SI, p. 855-866, MAY 2015. Web of Science Citations: 23.
MENDES, LUCAS W.; KURAMAE, EIKO E.; NAVARRETE, ACACIO A.; VAN VEEN, JOHANNES A.; TSAI, SIU M. Taxonomical and functional microbial community selection in soybean rhizosphere. ISME Journal, v. 8, n. 8, p. 1577-1587, AUG 2014. Web of Science Citations: 180.

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