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A dedicated target capture approach reveals variable genetic markers across micro- and macro-evolutionary time scales in palms. | LitMetric

AI Article Synopsis

  • This research focuses on understanding genetic diversification in palms, an important plant family, using advanced whole genome sequencing to create molecular markers for better studies at various evolutionary levels.
  • The study developed a comprehensive set of genomic markers covering 4,184 regions, including genes and neutral areas, designed to avoid issues like copy number variation, enabling analysis of evolutionary rates.
  • The newly created markers were tested across different palm sub-families, achieving high specificity and efficiency, which will enhance the analysis of genomic diversity and facilitate future research combining new and existing datasets.

Article Abstract

Understanding the genetics of biological diversification across micro- and macro-evolutionary time scales is a vibrant field of research for molecular ecologists as rapid advances in sequencing technologies promise to overcome former limitations. In palms, an emblematic, economically and ecologically important plant family with high diversity in the tropics, studies of diversification at the population and species levels are still hampered by a lack of genomic markers suitable for the genotyping of large numbers of recently diverged taxa. To fill this gap, we used a whole genome sequencing approach to develop target sequencing for molecular markers in 4,184 genome regions, including 4,051 genes and 133 non-genic putatively neutral regions. These markers were chosen to cover a wide range of evolutionary rates allowing future studies at the family, genus, species and population levels. Special emphasis was given to the avoidance of copy number variation during marker selection. In addition, a set of 149 well-known sequence regions previously used as phylogenetic markers by the palm biological research community were included in the target regions, to open the possibility to combine and jointly analyse already available data sets with genomic data to be produced with this new toolkit. The bait set was effective for species belonging to all three palm sub-families tested (Arecoideae, Ceroxyloideae and Coryphoideae), with high mapping rates, specificity and efficiency. The number of high-quality single nucleotide polymorphisms (SNPs) detected at both the sub-family and population levels facilitates efficient analyses of genomic diversity across micro- and macro-evolutionary time scales.

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Source
http://dx.doi.org/10.1111/1755-0998.12945DOI Listing

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