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:: Volume 4, Issue 2 (10-2026) ::
injbir 2026, 4(2): 127-136 Back to browse issues page
Bacterial Diversity in the Hypersaline Lake Urmia Revealed by PCR-DGGE and Multivariate Ecological Analysis
R. Manaffar * , F. Geravandi , S. Karchin
Department of Fisheries, Faculty of Natural Resources, Urmia University, Iran
Abstract:   (6 Views)
Hypersaline lakes are extreme ecosystems that harbor specialized microbial communities adapted to high osmotic stress. Lake Urmia, one of the world’s largest hypersaline lakes, has undergone pronounced salinity fluctuations (>340 g L⁻¹), providing a natural system for studying microbial community structure under extreme conditions. In this study, bacterial diversity in Lake Urmia was assessed using PCR-DGGE targeting the V3 region of the 16S rRNA gene. Water samples were collected from six sites in northern and central regions during spring and summer 2013. Community patterns were analyzed using DGGE fingerprinting combined with ecological indices and multivariate statistics, including UPGMA clustering and Bray–Curtis similarity analysis.  Shannon diversity indices ranged from 1.21 to 2.08 and Simpson indices from 0.28 to 0.64, indicating moderate diversity with significant spatial heterogeneity (ANOVA, p < 0.05). Cluster analysis resolved two distinct community structures corresponding to northern and central lake regions, with >60% dissimilarity. Sequencing of representative DGGE bands revealed taxa affiliated with Proteobacteria, Bacteroidetes, and Actinobacteria. Several sequences showed <97% similarity to known organisms, suggesting the presence of potentially novel halophilic lineages. Notably, Deefgea rivuli and multiple uncultured bacterial groups were detected for the first time in Lake Urmia. These findings demonstrate strong spatial structuring of bacterial communities in response to environmental heterogeneity and highlight Lake Urmia as a reservoir of underexplored microbial diversity.
 
Keywords: Lake Urmia, hypersaline lake, bacterial diversity, 16S rRNA gene, PCR-DGGE, microbial community structure, multivariate analysis, halophilic bacteria
Full-Text [PDF 436 kb]   (1 Downloads)    
Type of Study: Research | Subject: Special
Received: 2026/06/21 | Accepted: 2026/10/2 | Published: 2026/10/2
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Manaffar R, Geravandi F, Karchin S. Bacterial Diversity in the Hypersaline Lake Urmia Revealed by PCR-DGGE and Multivariate Ecological Analysis. injbir 2026; 4 (2) :127-136
URL: http://injbir.com/article-1-92-en.html


Volume 4, Issue 2 (10-2026) Back to browse issues page
International Journal of Biological Reports International Journal of Biological Reports
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