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Primer design for an accurate view of picocyanobacterial community structure by using high-throughput sequencing
- Source :
- CONICET Digital (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, instacron:CONICET, Digital.CSIC. Repositorio Institucional del CSIC, instname, e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía
- Publication Year :
- 2019
- Publisher :
- American Society for Microbiology, 2019.
-
Abstract
- 17 pages, 5 figures, 3 tables, supplemental material https://doi.org/10.1128/AEM.02659-18.-- Data availability.All sequences generated in this study can be accessed through European Nucleotide Archive (ENA) under the study accession number PRJEB27291 and accession numbers ERR2639355 to ERR2639364<br />High-throughput sequencing (HTS) of the 16S rRNA gene has been used successfully to describe the structure and dynamics of microbial communities. Picocyanobacteria are important members of bacterioplankton communities, and, so far, they have predominantly been targeted using universal bacterial primers, providing a limited resolution of the picocyanobacterial community structure and dynamics. To increase such resolution, the study of a particular target group is best approached with the use of specific primers. Here, we aimed to design and evaluate specific primers for aquatic picocyanobacterial genera to be used with high-throughput sequencing. Since the various regions of the 16S rRNA gene have different degrees of conservation in different bacterial groups, we therefore first determined which hypervariable region of the 16S rRNA gene provides the highest taxonomic and phylogenetic resolution for the genera Synechococcus, Prochlorococcus, and Cyanobium. An in silico analysis showed that the V5, V6, and V7 hypervariable regions appear to be the most informative for this group. We then designed primers flanking these hypervariable regions and tested them in natural marine and freshwater communities. We successfully detected that most (97%) of the obtained reads could be assigned to picocyanobacterial genera. We defined operational taxonomic units as exact sequence variants (zero-radius operational taxonomic units [zOTUs]), which allowed us to detect higher genetic diversity and infer ecologically relevant information about picocyanobacterial community composition and dynamics in different aquatic systems. Our results open the door to future studies investigating picocyanobacterial diversity in aquatic systems<br />This study was supported by the Argentinean Network for the Assessment and Monitoring of Pampean Shallow Lakes (PAMPA2–CONICET), the ANPCyT (PICT-2014-1290 and PICT-2016-1079), and by MAGGY (grant CTM2017-87736-R) to S. G. Acinas and REMEI (grant CTM2015-70340-R) to J. M. Gasol from the Spanish Ministry of Economy and Competitiveness (MINECO)
- Subjects :
- Cyanobium
In silico
Argentina
Fresh Water
Cyanobacteria
Applied Microbiology and Biotechnology
DNA sequencing
Microbial Ecology
Ciencias Biológicas
purl.org/becyt/ford/1 [https]
03 medical and health sciences
RNA, Ribosomal, 16S
Computer Simulation
Seawater
purl.org/becyt/ford/1.6 [https]
Phylogeny
030304 developmental biology
DNA Primers
Prochlorococcus
Synechococcus
0303 health sciences
Genetic diversity
biology
Phylogenetic tree
Ecology
030306 microbiology
Microbiota
Community structure
Genetic Variation
High-Throughput Nucleotide Sequencing
Sequence Analysis, DNA
Biología Marina, Limnología
16S ribosomal RNA
biology.organism_classification
Hypervariable region
Centro Oceanográfico de Málaga
Evolutionary biology
primer design
16S rRNA gene
HTS
CIENCIAS NATURALES Y EXACTAS
Food Science
Biotechnology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- CONICET Digital (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, instacron:CONICET, Digital.CSIC. Repositorio Institucional del CSIC, instname, e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía
- Accession number :
- edsair.doi.dedup.....8d6a33805b2a31349d4b72fad4617245