Investigating deep phylogenetic relationships among cyanobacteria and plastids by small subunit rRNA sequence analysis.

dc.contributor.author

Turner, S

dc.contributor.author

Pryer, KM

dc.contributor.author

Miao, VP

dc.contributor.author

Palmer, JD

dc.date.accessioned

2020-12-05T16:44:58Z

dc.date.available

2020-12-05T16:44:58Z

dc.date.issued

1999-07

dc.date.updated

2020-12-05T16:44:55Z

dc.description.abstract

Small subunit rRNA sequence data were generated for 27 strains of cyanobacteria and incorporated into a phylogenetic analysis of 1,377 aligned sequence positions from a diverse sampling of 53 cyanobacteria and 10 photosynthetic plastids. Tree inference was carried out using a maximum likelihood method with correction for site-to-site variation in evolutionary rate. Confidence in the inferred phylogenetic relationships was determined by construction of a majority-rule consensus tree based on alternative topologies not considered to be statistically significantly different from the optimal tree. The results are in agreement with earlier studies in the assignment of individual taxa to specific sequence groups. Several relationships not previously noted among sequence groups are indicated, whereas other relationships previously supported are contradicted. All plastids cluster as a strongly supported monophyletic group arising near the root of the cyanobacterial line of descent.

dc.identifier.issn

1066-5234

dc.identifier.issn

1550-7408

dc.identifier.uri

https://hdl.handle.net/10161/21845

dc.language

eng

dc.publisher

Wiley

dc.relation.ispartof

The Journal of eukaryotic microbiology

dc.relation.isversionof

10.1111/j.1550-7408.1999.tb04612.x

dc.subject

Plastids

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Cyanobacteria

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DNA, Bacterial

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DNA, Plant

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DNA, Ribosomal

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RNA, Ribosomal

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Likelihood Functions

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Sequence Alignment

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Sequence Analysis, DNA

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Phylogeny

dc.subject

Genes, rRNA

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Molecular Sequence Data

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Eukaryota

dc.title

Investigating deep phylogenetic relationships among cyanobacteria and plastids by small subunit rRNA sequence analysis.

dc.type

Journal article

duke.contributor.orcid

Pryer, KM|0000-0002-9776-6736

pubs.begin-page

327

pubs.end-page

338

pubs.issue

4

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.organisational-group

Biology

pubs.organisational-group

Duke Science & Society

pubs.organisational-group

Duke

pubs.organisational-group

Initiatives

pubs.organisational-group

Institutes and Provost's Academic Units

pubs.publication-status

Published

pubs.volume

46

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