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dc.contributor.author | Sverdrup A. | |
dc.contributor.author | Frolova L. | |
dc.date.accessioned | 2020-01-15T22:09:33Z | |
dc.date.available | 2020-01-15T22:09:33Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/156790 | |
dc.description.abstract | © 2019, Dorma Journals. All rights reserved. The paper presents the freshwater Sredniy Kaban Lake species diversity study results, (Kazan, Russia) by the 18S rRNA gene based on the next-generation sequencing method. Lakes Sredniy Kaban, Verhniy Kaban, and Nizhniy Kaban are included in the system of urban lakes Kaban and are polluted lakes according to ecological studies. Sequences of 18S rRNA gene fragment of freshwater Sredniy Kaban lake hydrobionts in FASTQ format were submitted to international SRA database on the NCBI website SRR7510987, SRR7465570, SRR7516496 A total of 44292 (2016) and 36631 (2017) high-quality reads were obtained; 13.1% (2016) and 58% (2017) of the hydrobionts was classified to the kingdom, while 12.75% (2016) and 57.6% (2017) was classified to the phylum level, 12.7% (2016) and 56.6% (2017) was classified to the class level, 7.9% (2016) and 56.2% (2017) was classified to the order level, 56.1% (2017) was classified to the family level, 56% (2017) was classified to the genus level, and 54.7% (2017) was classified to the species level. The analysis of the metagenomic data for Sredniy Kaban Lake shows that indicator organisms identified by the 18S rRNA gene are grouped between o-saprobity and b-mesosaprobity. Sredniy Kaban Lake can be characterized by water quality as a transition from a polluted to a clean state. | |
dc.subject | Ecology | |
dc.subject | Freshwater lake | |
dc.subject | Gene 18S rRNA | |
dc.subject | Next-generation sequencing | |
dc.subject | Saprobity | |
dc.title | The species of diversity of sredniy kaban lake by 18s Rrna of hydrobionts on next-generation sequecing method | |
dc.type | Article | |
dc.relation.ispartofseries-issue | Special Issue | |
dc.relation.ispartofseries-volume | 7 | |
dc.collection | Публикации сотрудников КФУ | |
dc.relation.startpage | 1030 | |
dc.source.id | SCOPUS-2019-7--SID85076902683 |