Toward Extracting All Phylogenetic Information from Matrices of Evolutionary Distances.
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| Title: | Toward Extracting All Phylogenetic Information from Matrices of Evolutionary Distances. |
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| Authors: | Roch, Sebastien |
| Source: | Science (pre-March 2025). 3/12/2010, Vol. 327 Issue 5971, p1376-1379. 4p. |
| Subjects: | Phylogeny, Mathematical models, Plant molecular systematics, Statistical maps, Biological evolution, Probability measures, Analysis of covariance |
| Abstract: | The matrix of evolutionary distances is a model-based statistic, derived from molecular sequences, summarizing the pairwise phylogenetic relations between a collection of species. Phylogenetic tree reconstruction methods relying on this matrix are relatively fast and thus widely used in molecular systematics. However, because of their intrinsic reliance on summary statistics, distance-matrix methods are assumed to be less accurate than likelihood-based approaches. In this paper, pairwise sequence comparisons are shown to be more powerful than previously hypothesized. A statistical analysis of certain distance-based techniques indicates that their data requirement for large evolutionary trees essentially matches the conjectured performance of maximum likelihood methods--challenging the idea that summary statistics lead to suboptimal analyses. On the basis of a connection between ancestral state reconstruction and distance averaging, the critical role played by the covariances of the distance matrix is identified. [ABSTRACT FROM AUTHOR] |
| Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 48949223 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Toward Extracting All Phylogenetic Information from Matrices of Evolutionary Distances. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Roch%2C+Sebastien%22">Roch, Sebastien</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 3/12/2010, Vol. 327 Issue 5971, p1376-1379. 4p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Phylogeny%22">Phylogeny</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+molecular+systematics%22">Plant molecular systematics</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+maps%22">Statistical maps</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+evolution%22">Biological evolution</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+measures%22">Probability measures</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+covariance%22">Analysis of covariance</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The matrix of evolutionary distances is a model-based statistic, derived from molecular sequences, summarizing the pairwise phylogenetic relations between a collection of species. Phylogenetic tree reconstruction methods relying on this matrix are relatively fast and thus widely used in molecular systematics. However, because of their intrinsic reliance on summary statistics, distance-matrix methods are assumed to be less accurate than likelihood-based approaches. In this paper, pairwise sequence comparisons are shown to be more powerful than previously hypothesized. A statistical analysis of certain distance-based techniques indicates that their data requirement for large evolutionary trees essentially matches the conjectured performance of maximum likelihood methods--challenging the idea that summary statistics lead to suboptimal analyses. On the basis of a connection between ancestral state reconstruction and distance averaging, the critical role played by the covariances of the distance matrix is identified. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1126/science.1182300 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 1376 Subjects: – SubjectFull: Phylogeny Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Plant molecular systematics Type: general – SubjectFull: Statistical maps Type: general – SubjectFull: Biological evolution Type: general – SubjectFull: Probability measures Type: general – SubjectFull: Analysis of covariance Type: general Titles: – TitleFull: Toward Extracting All Phylogenetic Information from Matrices of Evolutionary Distances. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Roch, Sebastien IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 03 Text: 3/12/2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 00368075 Numbering: – Type: volume Value: 327 – Type: issue Value: 5971 Titles: – TitleFull: Science (pre-March 2025) Type: main |
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