Reinforcing plant evolutionary genomics using ancient DNA
•DNA from plant historic samples can be sequenced using next-generation sequencing.•Library-based methods are superior to PCR for sequencing of ancient DNA.•Ancient genomics improves our understanding of mechanisms and rates of evolution.•Genomics of ancient crops permits investigating selection dur...
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Published in | Current opinion in plant biology Vol. 36; pp. 38 - 45 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.04.2017
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Subjects | |
Online Access | Get full text |
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Summary: | •DNA from plant historic samples can be sequenced using next-generation sequencing.•Library-based methods are superior to PCR for sequencing of ancient DNA.•Ancient genomics improves our understanding of mechanisms and rates of evolution.•Genomics of ancient crops permits investigating selection during domestication.•Genomes of herbarium samples shed light on the dynamics of invasive flora.
Improved understanding of ancient DNA (aDNA) biochemical properties coupled with application of next generation sequencing (NGS) methods enabled sequencing and authenticating genomes of historical samples. This advancement ignited a revolution in plant evolutionary genomics by allowing direct observations of past molecular diversity. Analyses of genomes sequenced from temporally distributed samples of Gossypium sp., Phytophthora infestans and Arabidopsis thaliana improved our understanding of the evolutionary rates and time scales at which genome remodeling takes place. Comparison of historical samples of barley (Hordeum vulgare) and maize (Zea mays ssp. mays) with their present-day counterparts enabled assessment of selection during different stages of domestication. These examples show how aDNA already improved our evolutionary inferences. Increasing quality and amount of sequencing data retrieved from historical plants will further advance our understanding of plant evolution. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 |
ISSN: | 1369-5266 1879-0356 |
DOI: | 10.1016/j.pbi.2017.01.002 |