Literature DB >> 21613135

Biodiversity assessment: state-of-the-art techniques in phylogenomics and species identification.

P Roxanne Steele1, J Chris Pires.   

Abstract

PREMISE OF THE STUDY: Biodiversity assessment is the first step in protecting the complete range of morphological and genetic diversity of species on Earth, and in reaching the goals of conservation biology. Assessment begins with identifying organisms that make up biological communities and understanding evolutionary histories. Scientific advancements in molecular sequencing can help clarify and provide support for identifications. Massively parallel DNA sequencing technologies are being used to sequence complete genomes of model organisms; however, this resource has not been fully used for species identifications. Animal researchers commonly use one mitochondrial region, and groups of plant scientists have proposed numerous combinations of two or three chloroplast markers as genomic identifiers. Yet, nearly as many studies have reported that the proposed regions are uninformative in some plant groups and at various taxonomic levels.
METHODS: We propose a combination of whole (or nearly whole) chloroplast genomes, mitochondrial genes, and nuclear repeat regions for both species identifications and phylogenetic analyses, obtained from a simple total DNA extraction and one run on massively parallel DNA sequencing machines. KEY
RESULTS: We have recovered both coding and noncoding sequences from multiple genetic sources, providing genomic information for comparisons within and between multiple taxonomic levels.
CONCLUSIONS: In combination with morphological and other data, this abundance of genomic information will have a broad range of applications, including not only helping conservation biologists understand ecosystem biodiversity, but also understanding the evolutionary histories of organisms, mending damaged landscapes, and investigating interactions of plants with pollinators and pests.

Mesh:

Year:  2011        PMID: 21613135     DOI: 10.3732/ajb.1000296

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  8 in total

1.  Refining the DNA barcode for land plants.

Authors:  Peter M Hollingsworth
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-22       Impact factor: 11.205

2.  A DNA barcoding method to discriminate between the model plant Brachypodium distachyon and its close relatives B. stacei and B. hybridum (Poaceae).

Authors:  Diana López-Alvarez; Maria Luisa López-Herranz; Alexander Betekhtin; Pilar Catalán
Journal:  PLoS One       Date:  2012-12-11       Impact factor: 3.240

Review 3.  Choosing and using a plant DNA barcode.

Authors:  Peter M Hollingsworth; Sean W Graham; Damon P Little
Journal:  PLoS One       Date:  2011-05-26       Impact factor: 3.240

4.  DNA barcoding Bromeliaceae: achievements and pitfalls.

Authors:  Vitor Hugo Maia; Camila Souza da Mata; Luciana Ozório Franco; Mônica Aires Cardoso; Sérgio Ricardo Sodré Cardoso; Adriana Silva Hemerly; Paulo Cavalcanti Gomes Ferreira
Journal:  PLoS One       Date:  2012-01-05       Impact factor: 3.240

5.  Biodiversity assessment among two Nebraska prairies: a comparison between traditional and phylogenetic diversity indices.

Authors:  Shelly K Aust; Dakota L Ahrendsen; P Roxanne Kellar
Journal:  Biodivers Data J       Date:  2015-07-17

6.  Biodiversity comparison among phylogenetic diversity metrics and between three North American prairies.

Authors:  P Roxanne Steele Kellar; Dakota L Ahrendsen; Shelly K Aust; Amanda R Jones; J Chris Pires
Journal:  Appl Plant Sci       Date:  2015-07-07       Impact factor: 1.936

7.  Examining the utility of DNA barcodes for the identification of tallgrass prairie flora.

Authors:  Sarah A Herzog; Maribeth Latvis
Journal:  Appl Plant Sci       Date:  2021-01-24       Impact factor: 1.936

8.  Comparative and Phylogenetic Analysis of the Complete Chloroplast Genomes of Three Paeonia Section Moutan Species (Paeoniaceae).

Authors:  Liwei Wu; Liping Nie; Zhichao Xu; Pei Li; Yu Wang; Chunnian He; Jingyuan Song; Hui Yao
Journal:  Front Genet       Date:  2020-09-18       Impact factor: 4.599

  8 in total

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