| Abstract Detail
Seed-free Plants at the Genomic Scale Liu, Yang [1], Johnson, Matthew [2], Rafael, Medina [1], Nicolas, Devos [3], Wickett, Norm [4], Shaw, A Jonathan [3], Goffinet, Bernard [1]. Resolving the backbone phylogeny of mosses, using targeted NGS data from plastid, mitochondrial and nuclear genomes. Although major lineages of mosses have been well recognized, the relationships among them are still incompletely unresolved. The approach based on analyzing morphological traits or sequences from selected DNA loci seem to have reached a bottle neck. In this study, we have sampled via a liquid phase enrichment strategy the protein coding exons of 82 plastid, 40 mitochondrial, and 150 single-copy nuclear genes for 140 moss taxa that span all major lineages of mosses, and sequenced these on an Illumina MiSeq platform. We will present details of the methodology for generating the enriched libraries (e.g., enrichment efficiency relative to phylogenetic distance), for sequence assembly and quality assessment, and also present features of the data. Inferences from combined organellar exons, using three liverworts to root the tree, yield a well resolved and highly supported topology. The targeting of all genomic compartments for an identical and broad phylogenetic sample of mosses allows for the estimation of variation in relative substitution rates among genes and among taxa.
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1 - University of Connecticut, 75 N Eagleville Rd, Storrs, CT, 06269, United States
2 - Chicago Botanic Garden, Plant Sciences, 1000 Lake Cook Road, Glencoe, IL, 60626, United States
3 - 130 Science Drive, Box 90338, Durham, NC, 27708, USA
4 - Chicago Botanic Garden, Plant Conservation Science, 1000 Lake Cook Road, Glencoe, IL, 60022, USA
Keywords:
phylogenomics
moss
plastid
Mitochondrial
Nuclear
Targeted NGS.
Presentation Type: Colloquium Presentations
Session: C4, Seed Free Plants at the Genomic Scale
Location: Chatham Ballroom - C/Savannah International Trade and Convention Center
Date: Wednesday, August 3rd, 2016
Time: 2:30 PM
Number: C4005
Abstract ID:503
Candidate for Awards:None |
