uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A well-resolved phylogeny of the trees of Puerto Rico based on DNA barcode sequence data
Show others and affiliations
2014 (English)In: PLoS ONE, Vol. 9, no 11Article in journal (Refereed) Published
Abstract [en]

<sec> <title>Background</title> <p>The use of phylogenetic information in community ecology and conservation has grown in recent years. Two key issues for community phylogenetics studies, however, are (i) low terminal phylogenetic resolution and (ii) arbitrarily defined species pools.</p> </sec><sec> <title>Methodology/principal findings</title> <p>We used three DNA barcodes (plastid DNA regions <italic>rbcL</italic>, <italic>matK</italic>, and <italic>trnH-psbA</italic>) to infer a phylogeny for 527 native and naturalized trees of Puerto Rico, representing the vast majority of the entire tree flora of the island (89%). We used a maximum likelihood (ML) approach with and without a constraint tree that enforced monophyly of recognized plant orders. Based on 50% consensus trees, the ML analyses improved phylogenetic resolution relative to a comparable phylogeny generated with P<sc>hylomatic</sc> (proportion of internal nodes resolved: constrained ML = 74%, unconstrained ML = 68%, P<sc>hylomatic</sc> = 52%). We quantified the phylogenetic composition of 15 protected forests in Puerto Rico using the constrained ML and P<sc>hylomatic</sc> phylogenies. We found some evidence that tree communities in areas of high water stress were relatively phylogenetically clustered. Reducing the scale at which the species pool was defined (from island to soil types) changed some of our results depending on which phylogeny (ML vs. P<sc>hylomatic</sc>) was used. Overall, the increased terminal resolution provided by the ML phylogeny revealed additional patterns that were not observed with a less-resolved phylogeny.</p> </sec><sec> <title>Conclusions/significance</title> <p>With the DNA barcode phylogeny presented here (based on an island-wide species pool), we show that a more fully resolved phylogeny increases power to detect nonrandom patterns of community composition in several Puerto Rican tree communities. Especially if combined with additional information on species functional traits and geographic distributions, this phylogeny will (i) facilitate stronger inferences about the role of historical processes in governing the assembly and composition of Puerto Rican forests, (ii) provide insight into Caribbean biogeography, and (iii) aid in incorporating evolutionary history into conservation planning.</p> </sec>

Place, publisher, year, edition, pages
2014. Vol. 9, no 11
National Category
Biological Systematics Evolutionary Biology Ecology
Identifiers
URN: urn:nbn:se:uu:diva-381454DOI: 10.1371/journal.pone.0112843OAI: oai:DiVA.org:uu-381454DiVA, id: diva2:1303555
Available from: 2019-04-09 Created: 2019-04-09 Last updated: 2019-04-09

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full texthttp://dx.doi.org/10.1371%2Fjournal.pone.0112843
Biological SystematicsEvolutionary BiologyEcology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf