Prochlorococcus Ecotype Abundances in the North Atlantic Ocean As Revealed by an Improved Quantitative PCR Method
DNA, Bacterial
atlantic ocean
sequence analysis
polymerase chain reaction
Molecular Sequence Data
cloning
molecular sequence data
prochlorococcus
dna
Polymerase Chain Reaction
03 medical and health sciences
ribosomal
RNA, Ribosomal, 16S
DNA, Ribosomal Spacer
bacterial
rna
Seawater
molecular
14. Life underwater
ribosomal spacer
Cloning, Molecular
Atlantic Ocean
Ecosystem
seawater
Prochlorococcus
ecosystem
16s
0303 health sciences
flow cytometry
Sequence Analysis, DNA
Flow Cytometry
dna probes
DNA Probes
DOI:
10.1128/aem.72.1.723-732.2006
Publication Date:
2006-01-03T20:33:36Z
AUTHORS (7)
ABSTRACT
ABSTRACT
The cyanobacterium
Prochlorococcus
numerically dominates the photosynthetic community in the tropical and subtropical regions of the world's oceans. Six evolutionary lineages of
Prochlorococcus
have been described, and their distinctive physiologies and genomes indicate that these lineages are “ecotypes” and should have different oceanic distributions. Two methods recently developed to quantify these ecotypes in the field, probe hybridization and quantitative PCR (QPCR), have shown that this is indeed the case. To facilitate a global investigation of these ecotypes, we modified our QPCR protocol to significantly increase its speed, sensitivity, and accessibility and validated the method in the western and eastern North Atlantic Ocean. We showed that all six ecotypes had distinct distributions that varied with depth and location, and, with the exception of the deeper waters at the western North Atlantic site, the total
Prochlorococcus
counts determined by QPCR matched the total counts measured by flow cytometry. Clone library analyses of the deeper western North Atlantic waters revealed ecotypes that are not represented in the culture collections with which the QPCR primers were designed, explaining this discrepancy. Finally, similar patterns of relative ecotype abundance were obtained in QPCR and probe hybridization analyses of the same field samples, which could allow comparisons between studies.
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CITATIONS (122)
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