A. Nechayeva, V. Iatsenko, K. Boyarshin, V. Klyueva, O. Bespalova, Yuliya Kurkina, I. Batlutskaya
{"title":"Taxonomical Structure of Black Soil Bacterial Community on the Level of Phyla","authors":"A. Nechayeva, V. Iatsenko, K. Boyarshin, V. Klyueva, O. Bespalova, Yuliya Kurkina, I. Batlutskaya","doi":"10.2991/isils-19.2019.53","DOIUrl":null,"url":null,"abstract":"—Soil microbial communities perform a number of important functions ensuring fertility. They depend on physical and chemical composition of soil and applied agricultural technology. To control the state of the soil, it is necessary to use methods that allow to quickly assess the dynamics of the structure of microbial communities. To develop convenient method for analysis of microbiota the set of taxon-specific primers for RT PCR, recognizing 16S rRNA genes of domain Bacteria , six bacterial phyla and one class was chosen. Calculation of the percentages of lower-order taxa in the upper-order taxon was carried out based on the number of amplification cycles required to achieve the threshold value of fluorescence intensity taking into account the values of amplification factors. Taxonomic structure of the bacterial component of the soil microbial community was analyzed using as an example a sample of the surface layer of arable black soil enriched with regular application of organic fertilizers. The compiled analysis protocol made it possible to obtain data on the percentages of phyla Firmicutes, Bacteroidetes, Actinobacteria, Verrucomicrobia , and of class Gammaproteobacteria belonging to phylum Proteobacteria","PeriodicalId":20489,"journal":{"name":"Proceedings of the 1st International Symposium Innovations in Life Sciences (ISILS 2019)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International Symposium Innovations in Life Sciences (ISILS 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/isils-19.2019.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
—Soil microbial communities perform a number of important functions ensuring fertility. They depend on physical and chemical composition of soil and applied agricultural technology. To control the state of the soil, it is necessary to use methods that allow to quickly assess the dynamics of the structure of microbial communities. To develop convenient method for analysis of microbiota the set of taxon-specific primers for RT PCR, recognizing 16S rRNA genes of domain Bacteria , six bacterial phyla and one class was chosen. Calculation of the percentages of lower-order taxa in the upper-order taxon was carried out based on the number of amplification cycles required to achieve the threshold value of fluorescence intensity taking into account the values of amplification factors. Taxonomic structure of the bacterial component of the soil microbial community was analyzed using as an example a sample of the surface layer of arable black soil enriched with regular application of organic fertilizers. The compiled analysis protocol made it possible to obtain data on the percentages of phyla Firmicutes, Bacteroidetes, Actinobacteria, Verrucomicrobia , and of class Gammaproteobacteria belonging to phylum Proteobacteria