Evidence map›Paper›PMID 27724867›Full record

ArticleBMC evolutionary biology2016

Chloroplast genomes as a tool to resolve red algal phylogenies: a case study in the Nemaliales.

Joana F Costa, Showe-Mei Lin, Erasmo C Macaya, Cindy Fernández-García, Heroen Verbruggen

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Article in BMC evolutionary biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 51 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 4 countries.

Joana F CostaSchool of BioSciences, University of Melbourne, Parkville, VIC, 3010, Australia. costaj@student.unimelb.edu.au.
Showe-Mei LinInstitute of Marine Biology, National Taiwan Ocean University, Keelung, 20224, Taiwan.
Erasmo C MacayaDepartamento de Oceanografıa, Universidad de Concepción, Casilla, 160-C, Chile.
Cindy Fernández-GarcíaEscuela de Biología, Centro de Investigación en Ciencias del Mar y Limnología (CIMAR), Universidad de Costa Rica, San Pedro, San José, 11501-2060, Costa Rica.
Heroen VerbruggenSchool of BioSciences, University of Melbourne, Parkville, VIC, 3010, Australia.
University of Melbourne · AUNational Taiwan Ocean University · TWUniversidad de Costa Rica · CRUniversity of Concepción · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObtaining strongly supported phylogenies that permit confident taxonomic and evolutionary interpretations has been a challenge in algal biology. High-throughput sequencing has improved the capacity to generate data and yields more informative datasets. We sequenced and analysed the chloroplast genomes of 22 species of the order Nemaliales as a case study in the use of phylogenomics as an approach to achieve well-supported phylogenies of red algae.

resultsChloroplast genomes of the order Nemaliales are highly conserved, gene-dense and completely syntenic with very few cases of gene loss. Our ML estimation based on 195 genes recovered a completely supported phylogeny, permitting re-classification of the order at various taxonomic levels. Six families are recognised and the placement of several previously contradictory clades is resolved. Two new sub-orders are described, Galaxaurineae and Nemaliineae, based on the early-branching nature and monophyly of the groups, and presence or absence of a pericarp. Analyses of subsets of the data showed that >90 % bootstrap support can be achieved with datasets as small as 2500 nt and that fast and medium evolving genes perform much better when it comes to resolving phylogenetic relationships.

conclusionsIn this study we show that phylogenomics is an efficient and effective approach to investigate phylogenetic relationships. The six currently circumscribed Nemaliales families are clustered into two evolutionary lineages with strong statistical support based on chloroplast phylogenomic analyses. The conserved nature of red algal chloroplast genomes is a convenient and accessible source of data to resolve their ancient relationships.

Indexed as

Genome, ChloroplastChloroplastsDNA, AlgalEvolution, MolecularHigh-Throughput Nucleotide SequencingPhylogenyRhodophytaSequence Analysis, DNADNA, AlgalChloroplast phylogenomicsConserved genomesNemalialesPlastid genomesRed algae

Identifiers

PMID27724867
PMCPMC5057469
OpenAlexW2531054890

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.