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Evaluation of three prokaryote primers for identification of prokaryote community structure and their abode preferences in three distinct wetland ecosystems

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Title Evaluation of three prokaryote primers for identification of prokaryote community structure and their abode preferences in three distinct wetland ecosystems
Not Available
 
Creator Kavita Kumari
Malay Naskar
Md. Aftabuddin
Soma Das Sarkar
Bandana Das Ghosh
Uttam Kumar Sarkar
Subir Kumar Nag
Chayna Jana
Basanta Kumar Das
 
Subject Indicator taxa
floodplain wetlandF
brackishwater wetland,B
high-throughput sequencingH
Sediment microbes,
Sewage-fed ecosystem
 
Description Not Available
The ultimate role of prokaryote (bacteria and archaea), the decomposer of the
wetland ecosystem, depends on its community structure and its interaction with
the environment. The present study has used three universal prokaryote primers to
compare prokaryote community structure and diversity of three distinctly different
wetlands. The study results revealed that α-diversity indices and phylogenetic differential
abundance patterns did not differ significantly among primers, but they did differ
significantly across wetlands. Microbial community composition revealed a distinct
pattern for each primer in each wetland. Overall comparison of prokaryote communities
in sediments of three wetlands revealed the highest prokaryote richness and diversity
in Bhomra (freshwater wetland) followed by Malencho (brackish-water wetland) and
East Kolkata wetland (EKW) (sewage-fed wetland). Indicator genus analysis identified
21, 4, and 29 unique indicator genera, having preferential abode for Bhomra, EKW,
and Malencho, respectively. Prediction of potential roles of these microbes revealed a
preference for sulfate-reducing microbes in Malencho and methanogens in Bhomra. The
distinct phylogenetic differential abundance pattern, microbial abode preference, and
their potential functional role predict ecosystem variables shaping microbial diversity.
The variation in community composition of prokaryotes in response to ecosystem
variables can serve as the most sensitive bioindicator of wetland ecosystem assessment
and management.
Not Available
 
Date 2021-07-24T09:24:34Z
2021-07-24T09:24:34Z
2021-07-14
 
Type Article
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/49853
 
Language English
 
Relation Not Available;
 
Publisher Frontiers