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dc.contributor.author | Frolova L. | |
dc.contributor.author | Sverdrup A. | |
dc.date.accessioned | 2020-01-15T22:09:31Z | |
dc.date.available | 2020-01-15T22:09:31Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/156785 | |
dc.description.abstract | © 2019, Dorma Journals. All rights reserved. The paper presents the results of research of bacterial diversity of Nizhniy Kaban Lake (Kazan, Russia) for 2016-2017, using the marker gene 16S rRNA of hydrobionts, based on the method of next-generation sequencing. Nizhniy Kaban, Verhniy Kaban and Sredniy Kaban are included in the system of Kaban Lakes. They are located in the center of a large industrial city, and suffer anthropogenic load. According to ecological studies, Kaban Lakes are polluted. The sequences of 16S rRNA Bacteria gene fragment of the freshwater lake Nizhniy Kaban were submitted to the international database in fastq format on the website NCBI with the numbers SRR7510984 and SRR7516469. The comparative analysis of metagenomic data showed a significant change in bacterial diversity over the years. A total of 103030 (2016) and 90402 (2017) high-quality reads were obtained; 76% (2016) and 70% (2017) of the bacterial population was classified to the genus level, while 0.25% (2017) was classified to the species level. In total, 18 species of Bacteria were identified. Among them, bacteria occurring in the human gastrointestinal tract, were found the most often. These types of bacteria can be a threat to human health. Therefore, the species composition of Bacteria community should be taken into account when assessing the ecological state of water reservoirs. | |
dc.subject | Bacteria | |
dc.subject | Freshwater lake | |
dc.subject | Gene 16S rRNA | |
dc.subject | Next-generation sequencing | |
dc.title | The monitoring of nizhniy kaban lake by 16s Rrna gene amplicon data set-based bacterial diversity | |
dc.type | Article | |
dc.relation.ispartofseries-issue | Special Issue | |
dc.relation.ispartofseries-volume | 7 | |
dc.collection | Публикации сотрудников КФУ | |
dc.relation.startpage | 1006 | |
dc.source.id | SCOPUS-2019-7--SID85076890316 |