Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life

<p>Abstract</p> <p>Background</p> <p>The assembly of the tree of life has seen significant progress in recent years but algae and protists have been largely overlooked in this effort. Many groups of algae and protists have ancient roots and it is unclear how much data w...

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Main Authors: Yoon Hwan, Le Gall Line, Saunders Gary W, Maggs Christine A, Verbruggen Heroen, De Clerck Olivier
Format: Article
Language:English
Published: BMC 2010-01-01
Series:BMC Evolutionary Biology
Online Access:http://www.biomedcentral.com/1471-2148/10/16
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spelling doaj-c79c0b9c6abb443a8b2ffa5ecfea60d82021-09-02T03:49:30ZengBMCBMC Evolutionary Biology1471-21482010-01-011011610.1186/1471-2148-10-16Data mining approach identifies research priorities and data requirements for resolving the red algal tree of lifeYoon HwanLe Gall LineSaunders Gary WMaggs Christine AVerbruggen HeroenDe Clerck Olivier<p>Abstract</p> <p>Background</p> <p>The assembly of the tree of life has seen significant progress in recent years but algae and protists have been largely overlooked in this effort. Many groups of algae and protists have ancient roots and it is unclear how much data will be required to resolve their phylogenetic relationships for incorporation in the tree of life. The red algae, a group of primary photosynthetic eukaryotes of more than a billion years old, provide the earliest fossil evidence for eukaryotic multicellularity and sexual reproduction. Despite this evolutionary significance, their phylogenetic relationships are understudied. This study aims to infer a comprehensive red algal tree of life at the family level from a supermatrix containing data mined from GenBank. We aim to locate remaining regions of low support in the topology, evaluate their causes and estimate the amount of data required to resolve them.</p> <p>Results</p> <p>Phylogenetic analysis of a supermatrix of 14 loci and 98 red algal families yielded the most complete red algal tree of life to date. Visualization of statistical support showed the presence of five poorly supported regions. Causes for low support were identified with statistics about the age of the region, data availability and node density, showing that poor support has different origins in different parts of the tree. Parametric simulation experiments yielded optimistic estimates of how much data will be needed to resolve the poorly supported regions (ca. 10<sup>3 </sup>to ca. 10<sup>4 </sup>nucleotides for the different regions). Nonparametric simulations gave a markedly more pessimistic image, some regions requiring more than 2.8 10<sup>5 </sup>nucleotides or not achieving the desired level of support at all. The discrepancies between parametric and nonparametric simulations are discussed in light of our dataset and known attributes of both approaches.</p> <p>Conclusions</p> <p>Our study takes the red algae one step closer to meaningful inclusion in the tree of life. In addition to the recovery of stable relationships, the recognition of five regions in need of further study is a significant outcome of this work. Based on our analyses of current availability and future requirements of data, we make clear recommendations for forthcoming research.</p> http://www.biomedcentral.com/1471-2148/10/16
collection DOAJ
language English
format Article
sources DOAJ
author Yoon Hwan
Le Gall Line
Saunders Gary W
Maggs Christine A
Verbruggen Heroen
De Clerck Olivier
spellingShingle Yoon Hwan
Le Gall Line
Saunders Gary W
Maggs Christine A
Verbruggen Heroen
De Clerck Olivier
Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life
BMC Evolutionary Biology
author_facet Yoon Hwan
Le Gall Line
Saunders Gary W
Maggs Christine A
Verbruggen Heroen
De Clerck Olivier
author_sort Yoon Hwan
title Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life
title_short Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life
title_full Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life
title_fullStr Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life
title_full_unstemmed Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life
title_sort data mining approach identifies research priorities and data requirements for resolving the red algal tree of life
publisher BMC
series BMC Evolutionary Biology
issn 1471-2148
publishDate 2010-01-01
description <p>Abstract</p> <p>Background</p> <p>The assembly of the tree of life has seen significant progress in recent years but algae and protists have been largely overlooked in this effort. Many groups of algae and protists have ancient roots and it is unclear how much data will be required to resolve their phylogenetic relationships for incorporation in the tree of life. The red algae, a group of primary photosynthetic eukaryotes of more than a billion years old, provide the earliest fossil evidence for eukaryotic multicellularity and sexual reproduction. Despite this evolutionary significance, their phylogenetic relationships are understudied. This study aims to infer a comprehensive red algal tree of life at the family level from a supermatrix containing data mined from GenBank. We aim to locate remaining regions of low support in the topology, evaluate their causes and estimate the amount of data required to resolve them.</p> <p>Results</p> <p>Phylogenetic analysis of a supermatrix of 14 loci and 98 red algal families yielded the most complete red algal tree of life to date. Visualization of statistical support showed the presence of five poorly supported regions. Causes for low support were identified with statistics about the age of the region, data availability and node density, showing that poor support has different origins in different parts of the tree. Parametric simulation experiments yielded optimistic estimates of how much data will be needed to resolve the poorly supported regions (ca. 10<sup>3 </sup>to ca. 10<sup>4 </sup>nucleotides for the different regions). Nonparametric simulations gave a markedly more pessimistic image, some regions requiring more than 2.8 10<sup>5 </sup>nucleotides or not achieving the desired level of support at all. The discrepancies between parametric and nonparametric simulations are discussed in light of our dataset and known attributes of both approaches.</p> <p>Conclusions</p> <p>Our study takes the red algae one step closer to meaningful inclusion in the tree of life. In addition to the recovery of stable relationships, the recognition of five regions in need of further study is a significant outcome of this work. Based on our analyses of current availability and future requirements of data, we make clear recommendations for forthcoming research.</p>
url http://www.biomedcentral.com/1471-2148/10/16
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