Diversidade fúngica em diferentes áreas de utilização do solo do Bioma Pampa

Douglas Henrique Giovanella Rodrigues; Thais Müller; Claudete Rempel; Guilherme Liberato da Silva; Daiane Heidrich; Mônica Jachetti Maciel

doi:10.18378/rvads.v18i1.9470

Authors

Douglas Henrique Giovanella Rodrigues Universidade do Vale do Taquari, Lajeado
Thais Müller Universidade do Vale do Taquari, Lajeado
Claudete Rempel Universidade do Vale do Taquari, Lajeado
Guilherme Liberato da Silva Universidade do Vale do Taquari, Lajeado
Daiane Heidrich Universidade do Vale do Taquari, Lajeado
Mônica Jachetti Maciel Universidade do Vale do Taquari, Lajeado

DOI:

https://doi.org/10.18378/rvads.v18i1.9470

Keywords:

Soil microbiota, Forestry, Pasture, Native area

Abstract

In southern Brazil, together with Argentina and Uruguay, is located the Pampa Biome. The fungal diversity present in this place can be affected by soil exploitation, which end up, consequently, influencing other biological communities. The objective of this study was to compare the fungal diversity in different land use areas in the Pampa Biome. For that, soil collections were carried out in the city of Pantano Grande, located in Rio Grande do Sul. Three different land use areas were sampled: native, pasture and forestry areas. Soil fungi were isolated using the decimal dilution technique. Identification occurred through observations of macro and microscopic characteristics. Through statistics methods, the diversity of fungi was analyzed and the fungal community was compared between the sampled areas. A total of 265 individuals distributed in nine taxonomic types were isolated. The three areas had four taxa in common (Aspergillus niger, Aspergillus sp., Trichoderma sp. and Fusarium sp.), while the areas used for pasture were the only ones to present exclusivity in the presence of a taxon (Verticillium sp.). With this, it was possible to conclude that the areas used for pasture have the highest fungal biodiversity among the studied areas; however, statistically, the fungal richness between the different types of land use did not present differences.

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References

ARAÚJO, V. C.; ROSSATI, K. F.; XAVIER, L. V.; OLIVEIRA, V. A. de; CARMO, G. J. dos S.; ASSIS, G. A. de; MENDES, G. de O. Enhanced growth in nursery of coffe seedlings inoculated with the rhizosphere fungus Aspergillus niger for field transplantation. Rhizosphere, 15(1): 1-4, 2020. https://doi.org/10.1016/j.rhisph.2020.100236.

ATALLA, S. M. M.; EL GAMAL, N. G.; AWAD, H. M.; ALI, N. F. Production of pectin lyase from agricultural wastes by isolated marine Penicillium expansum RSW_SEP1 as dye wool fiber. Heliyon, 5(8): 1-6, 2019. https://doi.org/10.1016/j.heliyon.2019.e02302.

BBOSA, G. S.; KITYA, D.; LUBEGA, A. OGWAL-OKENG, J.; ANOKBONGGO, W. W.; KYEGOMBE, D. B.. Review of the Biological and Health Effects of Aflatoxins on Body Organs and Body Systems. In: RAZZAGHI-ABYANEH, M. Aflatoxins - Recent Advances and Future Prospects. Londres: InTechOpen, 2013. 408p.

BOLDRINI, I. L. Bioma Pampa: Diversidade florística e fisionômica. Porto Alegre: Pallotti, 2010. 61p.

BOUCHARA, J.; PAPON, N. Scedosporium apiospermum: Microbe of the month. Trends in microbiology, 27(12):1045-1046, 2019. 10.1016/j.tim.2019.07.003.

CERQUEIRA, A. E. S.; SILVA, T. H.; NUNES, A. C. S.; NUNES, D. D.; LOBATO, L. C.; VELOSO, T. G. R.; PAULA, S. O. de.; KASUYA, M. C. M.; SILVA, C. C. Amazon basin pasture soils reveal susceptibility to phytopathogens and lower fungal community dissimilarity than forest. Applied soil ecology, 131(1):1-11, 2018. https://doi.org/10.1016/j.apsoil.2018.07.004.

CHAO, A.; GOTELLI, N. J.; HSIEH, T. C.; SANDER, E. L.; MA, K. H.; COLWELL, R. K.; ELLISON, A. M. Rarefaction and extrapolation with Hill numbers: a framework for sampling and estimation in species diversity studies. Ecological monographs, 84(1): 45-67, 2014. https://doi.org/10.1890/13-0133.1.

CHEN, H. Venndiagram: generate high-resolution Venn and Euler plots. 2018.

CHERNOV, T. I.; ZHELEZOVA, A. D.; TKHAKAKHOVA, A. K.; KSENOFONTOVA, N. A.; ZVEREV, A. O.; TIUNOV, A. V.. Soil microbiome, organic matter content and microbial abundance in forest and forest-derived land cover in Cat Tien National Park (Vietnam). Applied soil ecology, 165(1):1-8, 2021. https://doi.org/10.1016/j.apsoil.2021.103957.

GONGALSKY, K. B.; ZAITSEV, A. S.; KOROBUSHKIN, D. I.; SAIFUTDINOV, R. A.; YAZRIKOVA, T. E.; BENEDIKTOVA, A. I.; GORBUNOVA, A. Yu. Diversity of the soil biota in burned areas of southern taiga forests (Tver oblast). Eurasian soil science, Pochvovendenie, 49(3):358-366, 2016.

GRANADA, C. E.; VARGAS, L. K.; LISBOA, B. B.; GIONGO, A.; MARTINHO, C. T.; PEREIRA, L. de M.; OLIVEIRA, R. R. de.; BRUXEL, F.; FREITAS, E. M. de.; PASSAGLIA, L. M. P. Bacterial and Archaeal Communities Change With Intensity of Vegetation Coverage in Arenized Soils From the Pampa Biome. Frontiers in microbiology, 10(1): 1-10, 22 mar. 2019. https://doi.org/10.3389/fmicb.2019.00497.

HERVÉ, M. RVAideMemoire: Diverse basic statistical and graphical functions. 2015. Disponível em: https://cran.r-project.org/web/packages/RVAideMemoire/index.html.

HILL, M. O. Diversity and Evenness: A Unifying Notation and Its Consequences. Wiley, 54(2):427-432, 1973.https://doi.org/10.2307/1934352.

HSIEH, T. C.; MA, K. H.; CHAO, A.. INEXT: An R package for rarefaction and extrapolation of species diversity (Hill numbers). In: Methods in ecology and evolution. 7(12):1451-1456, 2016.

IHAKA, R.; GENTLEMAN, R. R: A Language for Data Analysis and Graphics. Journal of computational and graphical statistics, 5(3):299-314, 1996.

IBGE, Instituto brasileiro de geografia e estatística. Biomas e sistema costeiro-marinho do brasil: compatível com a escala 1:250 000. Rio de Janeiro: IBGE, 45, 2019. 164p.

LAND, C. J.; LAWRENCE, K. S.; BURMESTER, C. H.; MEYER, B.. Cultivar, irrigation, and soil contribution to the enhancement of Verticillium wilt disease in cotton. Crop Protection, 96(1):1-6, 2017. https://doi.org/10.1016/j.cropro.2017.01.002.

MCGEE, K. M.; EATON, W. D.; PORTER, T. M.; SHOKRALLA, S.; HAJIBABAEI, M. Soil microbiomes associated with two dominant Costa Rican tree species, and implications for remediation: A case study from a Costa Rican conservation area. Applied Soil Ecology,137,139-153, 2019. https://doi.org/10.1016/j.apsoil.2019.02.007.

MENG, L. LI, Z.; LIU, L.; CHEN, X.; WU, J.; LI, W.; ZHANG, X.; DONG, M.. Lead removal from water by a newly isolated Geotrichum candidum LG-8 from Tibet kefir milk and its mechanism. Chemosphere, 259(1):283-290, 2020. https://doi.org/10.1016/j.chemosphere.2020.127507.

MOUHAJIR, A.; POIRIER, W.; ANGEBAULT, C.; RAHAL, E.; BOUABID, R.; BOUGNOUX, M.-E.; KOBI, A.; ZOUHAIR, R.; BOUCHARA, J.; GIRAUD, S. Scedosporium species in soils from various biomes in Northwestern Morocco. Plos One, 15(2), 2020. https://doi.org/10.1371/journal.pone.0228897.

MORAIS, J. R. de.; CASTILHOS, R. M. V.; LACERDA, C. L.; PINTO, F. S.; CARLOS, F. S. Carbon and nitrogen stocks and microbiological attributes of soil under eucalyptus cultivation in the Pampa biome of southern Brazil. Geoderma regional, 25(1):1-11 2021. https://doi.org/10.1016/j.geodrs.2021.e00392.

MOTLAGH, M. R. S.; ABOLGHASEMI, M. The effect of Trichoderma spp. isolates on some morphological traits of canola inoculated with Sclerotinia sclerotiorum and evaluation of their efficacy in biological control of pathogen. Journal of the Saudi society of agricultural sciences, 21(4):217-231, 2021. https://doi.org/10.1016/j.jssas.2021.08.004

OKSANEN, J.; SIMPSON, G. L.; BLANCHET, F. G.; KINDT, R.; LEGENDRE, P.; MINCHIN, P. R.; O’HARA, R. B.; SOLYMOS, P.; STEVENS, M. H. H.; SZOECS, E.; WAGNER, H.; BARBOUR, M.; BEDWARD, M.; BOLKER, B.; BORCARD, D.; CARVALHO, G.; CHIRICO, M.; CACERES, M. de.; DURAND, S.; EVANGELISTA, H. B. A.; FITZJOHN, R.; FRIENDLY, M.; FURNEAUX, B.; HANNIGAN, G.; HILL, M. O.; LAHTI, L.; MCGLINN, D.; OUELLETTE, M-H.; CUNHA, E. R.; SMITH, T.; STIER, A.; BRAAK, C. J. F. T.; WEEDON, J. Vegan: community ecology package. 2(1):1-2, 2015.

OLIVEIRA, T. E. de.; FREITAS, D. S. de.; GIANEZINI, M.; RUVIARO, C. F.; ZAGO, D.; MÉRCIO, T. Z.; DIAS, E. A.; LAMPERT, V. do N.; BARCELLOS, J. O. J. Agricultural land use change in the Brazilian pampa biome: the reduction of natural grasslands. Land use policy, 63(1):394-400, 2017. https://doi.org/10.1016/j.landusepol.2017.02.010.

PANG, Y-Z.; WANG, Z-H.; GUO, S-S.; ZHANG, S-S.; ZHENG, L-W.; ZHANG, J-Z.; GUO, D-P. Verticillium dahliae reduces plant growth, constitutively induces antioxidant metabolism and gene expression in eggplant (Solanum melongena L.). Physiological and molecular plant pathology, 114(1):1-10, 2021.https://doi.org/10.1016/j.pmpp.2021.101641.

ROSA-GARZON, N. G. da.; LAURE, H. J.; ROSA, J. C.; CABRAL, H. Fusarium oxysporum cultured with complex nitrogen sources can degrade agricultural residues: Evidence from analysis of secreted enzymes and intracellular proteome. Renewable energy, 133(1):941-950, 2018. https://doi.org/10.1016/j.renene.2018.10.100.

SOUZA, A. R. C. de.; BALDONI, D. B.; LIMA, J.; PORTO, V.; MARCUZ, C.; MACHADO, C.; FERRAZ, R. C.; KUHN, R. C.; JACQUES, R. J. S.; GUEDES, J. V. C.; MAZUTTI, M. A. Selection, isolation, and identification of fungi for bioherbicide production. Brazilian journal of microbiology, 48(1):101-108, 2017. https://doi.org/10.1016/j.bjm.2016.09.004.

PITT, J. I.; HOCKING, A. D. Fungi and food spoilage. 3. ed. Boston: Springer, 2009. 520 p.

R CORE TEAM. R: A language and environment for statistical computing. The R foundation for statistical computing. 287, 2018. https://www.r-project.org/.

STRECK, E.V.; KÄMPF, N.; DALMOLIN, R.S.D.; KLAMT, E., NASCIMENTO, P.C.; SCHNEIDER, P.; GIASSON, E.; PINTO, L.F.S. Solos do Rio Grande do Sul. 2.ed. Porto Alegre: EMATER-RS ASCAR, 2008.

TÓTHMÉRÉSZ, B. Comparison of different methods for diversity ordering. Journal of vegetation science, 6(2):283-290, 1995. https://doi.org/10.2307/3236223.

WILHELM, R. C.; ES, H. M. van.; BUCKLEY, D. H. Predicting measures of soil health using the microbiome and supervised machine learning. Soil biology and biochemistry, 164(1):1-12, 2022. https://doi.org/10.1016/j.soilbio.2021.108472.

XUE, Y.; CHEN, J.; ZHAO, Y.; FENG, Q.; LI, C.; WEI, Y. Shift of soil fungal communities under afforestation in Nanliu River Basin, southwest China. Management, 302(1):1-11, 2022. https://doi.org/10.1016/j.jenvman.2021.114130.

YANG, X.; CHEN, L.; ZHAO, L.; YANG, Y.; WANK, J.; YAN, L.; TAI, G.; ZHANG, H. Cordyceps sinensis-derived fungus Isaria felina ameliorates experimental autoimmune thyroiditis in mice. Biomedicine & Pharmacotherapy, 140(1):1-7, 2021. https://doi.org/10.1016/j.biopha.2021.111733.