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Microbial community structure in disease-suppressive soils as revealed by metabarcoding

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Title Microbial community structure in disease-suppressive soils as revealed by metabarcoding
 
Creator López Alvarez, Diana
Pardo, Juan M.
Leiva, Ana Maria
Alvarez, Elizabeth
Ceballos, German
Cuéllar, Wilmer Jose
 
Subject soil management
disease control
infectious diseases
manejo del suelo
control de enfermedades
enfermedades infecciosas
 
Description Plant diseases caused by soil-borne bacterial pathogens result in significant yield losses and these pathogens are the most difficult to control due to their persistence in debris and soil. Enhancement of soil-natural disease suppression could be an effective option to control these diseases through soil management practices. The suppression of soil-borne diseases of soil microbial bacteria and fungi communities was analyzed in soils suppressive and non-suppressive for Moko disease caused by Ralstonia solanacearum in Quindío, Colombia, using bacterial tag-encoded FLX titanium amplicon pyrosequencing (bTEFAP) targeting 16Sr RNA and ITS genes.
 
Date 2021-12-09
2022-03-03T08:14:15Z
2022-03-03T08:14:15Z
 
Type Dataset
 
Identifier López-Alvarez, D.; Pardo, J.M.; Leiva, A.M.; Alvarez, E.; Ceballos, G.; Cuellar, W. (2021) "Microbial Community Structure in Disease-Suppressive Soils as Revealed by Metabarcoding", https://doi.org/10.7910/DVN/1JQXYE, Harvard Dataverse, V1, UNF:6:nMlSoOuDljSa5g2dZ2vL+A== [fileUNF]
https://hdl.handle.net/10568/118303
https://doi.org/10.7910/DVN/1JQXYE
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/1JQXYE
 
Language en
 
Rights CC-BY-4.0
Open Access