Composición bacteriana en suelos de cultivo de maca (Lepidium meyenii Walp) analizada mediante metagenómica: un estudio en los Andes centrales del Perú

Autores

  • María Custodio Universidad Nacional del Centro del Perú, Centro de Investigación en Medicina de Altura y Medio Ambiente, Av. Mariscal Castilla N° 3909-4089, Huancayo
  • Fisher Huaraca-Meza Universidad Nacional del Centro del Perú, Centro de Investigación en Medicina de Altura y Medio Ambiente, Av. Mariscal Castilla N° 3909-4089, Huancayo
  • Richard Peñaloza Universidad Nacional del Centro del Perú, Centro de Investigación en Medicina de Altura y Medio Ambiente, Av. Mariscal Castilla N° 3909-4089, Huancayo
  • Juan C. Alvarado-Ibañez Universidad Nacional Intercultural “Fabiola Salazar Leguía” de Bagua, Jr. Comercio N° 128, Bagua
  • Heidi De la Cruz-Solano Universidad Nacional del Centro del Perú, Centro de Investigación en Medicina de Altura y Medio Ambiente, Av. Mariscal Castilla N° 3909-4089, Huancayo

DOI:

https://doi.org/10.17268/sci.agropecu.2021.020

Palavras-chave:

composición bacteriana, suelo, secuenciación illumina, Lepidium meyenii, maca

Resumo

El cambio e intensificación de uso del suelo ha dado lugar al empobrecimiento de los suelos con efectos negativos en las comunidades biológicas. Se analizó la composición bacteriana de suelos de cultivo de maca (Lepidium meyenii Walp) mediante secuenciación Illumina en la meseta de Bombón, durante el año 2019. Se definieron tres sectores de muestreo, un sector control (suelo natural) y dos sectores con presión de uso (suelos “primer uso” y “segundo uso”, respecto al cultivo de maca). Se determinaron los indicadores fisicoquímicos del suelo mediante métodos analíticos y la composición de las comunidades bacterianas mediante secuenciación Illumina de los amplicones del gen de ARNr 16S. Los resultados de pH y CE, en suelos control y con presión de uso, variaron de 7,51 a 4,53 y de 0,06 a 0,47 dS/m, respectivamente. Los contenidos más altos MO, N, P, K y Ca se registraron en los suelos control disminuyendo significativamente en suelos con presión de uso. El análisis de componentes principales (ACP) presentó un porcentaje de variación total del 97,1 %. La secuenciación Illumina reveló 3776 familias bacterianas. El análisis SIMPER mostró que los mayores porcentajes de contribución lo realizaron las familias Acidobacteriaceae (2,95%), Verrucomicrobiaceae (2,68%), Thermoactinomycetaceae (2,11%) y Akkermansiaceae (2,10%). El análisis de redundancia (AR) mostró una buena asociación entre las variables fisicoquímicas y las familias bacterianas. El análisis metagenómico ha permitido identificar familias bacterianas que pueden ser usadas como indicadores de buena y mala calidad fisicoquímica del suelo según presión de uso por cultivos de maca; así como, a los mejores indicadores fisicoquímicos predictores de los cambios de la composición de las comunidades bacterianas.

Referências

Amundson, R., Berhe, A. A., Hopmans, J. W., Olson, C., Sztein, A. E., & Sparks, D. L. (2015). Soil and human security in the 21st century. Science, 348(6235), 647–653.

Beharry, S., & Heinrich, M. (2018). Is the hype around the reproductive health claims of maca (Lepidium meyenii Walp.) justified? Journal of Ethnopharmacology, 211, 126–170.

Bernhard, A. E., Colbert, D., McManus, J., & Field, K. G. (2005). Microbial community dynamics based on 16S rRNA gene profiles in a Pacific Northwest estuary and its tributaries. FEMS Microbiology Ecology, 52(1), 115–128.

Berthrong, S. T., Jobbágy, E. G., & Jackson, R. B. (2009). A global meta-analysis of soil exchangeable cations, pH, carbon, and nitrogen with afforestation. Ecological Applications, 19(8), 2228–2241.

Bremner, J. M. (1960). Determination of nitrogen in soil by the Kjeldahl method. The Journal of Agricultural Science, 55(1), 11–33.

Caro, C., Sánchez, E., Quinteros, Z., & Castañeda, L. (2014). Respuesta de los pastizales altoandinos a la perturbación generada por extracción mediante la actividad de “champeo” en los terrenos de la Comunidad Campesina Villa de Junín, Perú. Ecología Aplicada, 13(2), 85-95.

Clarke, K. R., & Warwick, R. M. (1994). Change in marine communities. An approach to statistical analysis and interpretation. Natural Environment Research Council.

Daniel, R. (2005). The metagenomics of soil. Nature Reviews Microbiology, 3(6), 470–478.

Doyle, J. (1987). A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin, 12, 11–15.

Dungait, J. A. J., Kemmitt, S. J., Michallon, L., Guo, S., Wen, Q., Brookes, P. C., & Evershed, R. P. (2013). The variable response of soil microorganisms to trace concentrations of low molecular weight organic substrates of increasing complexity. Soil Biology and Biochemistry, 64, 57–64.

Fierer, N., Leff, J. W., Adams, B. J., Nielsen, U. N., Bates, S. T., Lauber, C. L., Owens, S., Gilbert, J. A., Wall, D. H., Caporaso, J. G. (2012). Cross-biome metagenomic analyses of soil microbial communities and their functional attributes. Proceedings of the National Academy of Sciences of the United States of America, 109(52), 21390–21395.

Giardine, B., Riemer, C., Hardison, R. C., Burhans, R., Elnitski, L., Shah, P., Zhang, Y., Blankenberg, D., Albert, I., Taylor, J., Miller, W., Kent, W. J., & Nekrutenko, A. (2005). Galaxy: A platform for interactive large-scale genome analysis. Genome Research, 15(10), 1451–1455.

Gioria, M., & Osborne, B. (2010). Similarities in the impact of three large invasive plant species on soil seed bank communities. Biological Invasions, 12(6), 1671–1683.

Gottfried, J. L., Harmon, R. S., De Lucia, F. C., & Miziolek, A. W. (2009). Multivariate analysis of laser-induced breakdown spectroscopy chemical signatures for geomaterial classification. Spectrochimica Acta - Part B Atomic Spectroscopy, 64(10), 1009–1019.

Govaerts, B., Sayre, K. D., Lichter, K., Dendooven, L., & Deckers, J. (2007). Influence of permanent raised bed planting and residue management on physical and chemical soil quality in rain fed maize/wheat systems. Plant and Soil, 291(1–2), 39–54.

Hernández-León, R., Velázquez-Sepúlveda, I., Orozco-mosqueda, M. C., & Santoyo, G. (2010). Soil Metagenomics : new challenges and biotechnological opportunities. Phyton, 79(December), 133–139.

Hong, S., Piao, S., Chen, A., Liu, Y., Liu, L., Peng, S., Sardans, J., Sun, Y., Peñuelas, & Zeng, H. (2018). Afforestation neutralizes soil pH. Nature Communications, 9(1), 1–7.

Janssen, P. H. (2006). Identifying the Dominant Soil Bacterial Taxa in Libraries of 16S rRNA and 16S rRNA Genes. Applied and Environmental Microbiology, 72(3), 1719–1728.

Jia, Y., & Walhen, J. K. (2020). A new perspective on functional redundancy and phylogenetic niche conservatism in soil microbial communities. Pedosphere, 30(1), 18–24.

Khodadad, C. L. M., Zimmerman, A. R., Green, S. J., Uthandi, S., & Foster, J. S. (2011). Taxa-specific changes in soil microbial community composition induced by pyrogenic carbon amendments. Soil Biology and Biochemistry, 43(2), 385–392.

Koyama, A., Wallenstein, M. D., Simpson, R. T., & Moore, J. C. (2014). Soil bacterial community composition altered by increased nutrient availability in Arctic tundra soils. Frontiers in Microbiology, 5(SEP), 1–16.

Kruskal, W., & Wallis, W. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47, 583–621.

Landesman, W. J., Nelson, D. M., & Fitzpatrick, M. C. (2014). Soil properties and tree species drive ß-diversity of soil bacterial communities. Soil Biology and Biochemistry, 76(August), 201–209.

Lanzen, A., Epelde, L., Blanco, F., Martin, I., Artetxe, U., & Garbisu, C. (2016). Multi-targeted metagenetic analysis of the influence of climate and environmental parameters on soil microbial communities along an elevational gradient. Scientific Reports, 6(February), 1–13.

Lauber, C. L., Hamady, M., Knight, R., & Fierer, N. (2009). Pyrosequencing-based assessment of soil pH as a predictor of soil bacterial community structure at the continental scale. Applied and Environmental Microbiology, 75(15), 5111–5120.

Leff, J. W., Jones, S. E., Prober, S. M., Barberán, A., Borer, E. T., Firn, J. L., Harpole, W. S., Hobbie, S. E., Hofmockel, K. S., Knops, J., McCulley, R. L., La Pierre, K., Risch, A. C., Seabloom, E. W., Schütz, M:, Steenbock, C., Stevens, C. J., & Fierer, N. (2015). Consistent responses of soil microbial communities to elevated nutrient inputs in grasslands across the globe. Proceedings of the National Academy of Sciences of the United States of America, 112(35), 10967–10972.

Liu, S., Meng, J., Jiang, L., Yang, X., Lan, Y., Cheng, X., & Chen, W. (2017). Rice husk biochar impacts soil phosphorous availability, phosphatase activities and bacterial community characteristics in three different soil types. Applied Soil Ecology, 116, 12–22.

Nacke, H., Thürmer, A., Wollherr, A., Will, C., Hodac, L., Herold, N., Schöning, I., Schrumpf, M., & Daniel, R. (2011). Pyrosequencing-based assessment of bacterial community structure along different management types in German forest and grassland soils. PLoS ONE, 6(2).

Pan, Y., Cassman, N., de Hollander, M., Mendes, L. W., Korevaar, H., Geerts, R. H. E. M., … Kuramae, E. E. (2014). Impact of long-term N, P, K, and NPK fertilization on the composition and potential functions of the bacterial community in grassland soil. FEMS Microbiology Ecology, 90(1), 195–205.

Ramírez, P. B., Fuentes-Alburquenque, S., Díez, B., Vargas, I., & Bonilla, C. A. (2020). Soil microbial community responses to labile organic carbon fractions in relation to soil type and land use along a climate gradient. Soil Biology and Biochemistry, 141.

Rivest, D., Lorente, M., Olivier, A., & Messier, C. (2013). Soil biochemical properties and microbial resilience in agroforestry systems: Effects on wheat growth under controlled drought and flooding conditions. Science of the Total Environment, 463–464, 51–60.

Rousk, J., Bååth, E., Brookes, P. C., Lauber, C. L., Lozupone, C., Caporaso, J. G., Knight, R., & Fierer, N. (2010). Soil bacterial and fungal communities across a pH gradient in an arable soil. ISME Journal, 4(10), 1340–1351.

Sánchez-Marañón, M., Miralles, I., Aguirre-Garrido, J. F., Anguita-Maeso, M., Millán, V., Ortega, R., García-Salcedo, J. A., Martínez-Abarca, F., & Soriano, M. (2017). Changes in the soil bacterial community along a pedogenic gradient. Scientific Reports, 7(1), 1–11.

Schober, P., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768.

Shade, A., Peter, H., Allison, S. D., Baho, D. L., Berga, M., Bürgmann, H., Huber, D. H., Langenheder, S., Lennon, J. T., Martiny, J. B., Matulich, K. L., Schmidt, T. M., & Handelsman, J. (2012). Fundamentals of microbial community resistance and resilience. Frontiers in Microbiology, 3(DEC), 1–19.

Shen, C., Ni, Y., Liang, W., Wang, J., & Chu, H. (2015). Distinct soil bacterial communities along a small-scale elevational gradient in alpine tundra. Frontiers in Microbiology, 6, 1–12.

Suleiman, A. K. A., Manoeli, L., Boldo, J. T., Pereira, M. G., & Roesch, L. F. W. (2013). Shifts in soil bacterial community after eight years of land-use change. Systematic and Applied Microbiology, 36(2), 137–144.

Sun, R., Zhang, X. X., Guo, X., Wang, D., & Chu, H. (2015). Bacterial diversity in soils subjected to long-term chemical fertilization can be more stably maintained with the addition of livestock manure than wheat straw. Soil Biology and Biochemistry, 88(September), 9–18.

Trivedi, P., Delgado-Baquerizo, M., Anderson, I. C., & Singh, B. K. (2016). Response of soil properties and microbial communities to agriculture: Implications for primary productivity and soil health indicators. Frontiers in Plant Science, 7, 1–13.

Varma, A., & Gaur, A. (2007). Research Methods in Arbuscular Mycorrhizal Fungi. Advanced Techniques in Soil Microbiology. Springer-Verlag Berlin Heidelberg.

Wang, R., Zhang, H., Sun, L., Qi, G., Chen, S., & Zhao, X. (2017). Microbial community composition is related to soil biological and chemical properties and bacterial wilt outbreak. Scientific Reports, 7(1), 1–10.

Wang, S., Dong, L., Luo, Y., Jia, W., & Qu, Y. (2020). Characterization of rhizosphere microbial communities in continuous cropping maca (Lepidium meyenii) red soil, Yunnan, China. Archives of Agronomy and Soil Science, 66(6), 805–818.

Wang, X., Huang, X., Hu, J., & Zhang, Z. (2020). The spatial distribution characteristics of soil organic carbon and its effects on topsoil under different Karst landforms. International Journal of Environmental Research and Public Health, 17(8).

Wang, Y., Wang, Y., McNeil, B., & Harvey, L. M. (2007). Maca: An Andean crop with multi-pharmacological functions. Food Research International, 40(7), 783–792.

Wu, L., Ge, G., Zhu, G., Gong, S., Li, S., & Wan, J. (2012). Diversity and composition of the bacterial community of Poyang Lake (China) as determined by 16S rRNA gene sequence analysis. World Journal of Microbiology and Biotechnology, 28(1), 233–244.

Yaranga-Cano, R., & Custodio, M. (2013). Carbon storage in high Andean natural pastures. Scientia Agropecuaria, 4(4), 313–319.

Yitbarek, T. (2013). Impacts of Land Use on Selected Physicochemical Properties of Soils of Abobo Area, Western Ethiopia. Agriculture, Forestry and Fisheries, 2(5), 177.

Publicado

2021-04-28

Como Citar

Custodio, M. ., Huaraca-Meza, F. ., Peñaloza, R. ., Alvarado-Ibañez, J. C. ., & De la Cruz-Solano, H. . (2021). Composición bacteriana en suelos de cultivo de maca (Lepidium meyenii Walp) analizada mediante metagenómica: un estudio en los Andes centrales del Perú. Scientia Agropecuaria, 12(2), 175-183. https://doi.org/10.17268/sci.agropecu.2021.020

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