Dataset Information

Using multi-locus allelic sequence data to estimate genetic divergence among four Lilium (Liliaceae) cultivars.

ABSTRACT: Next Generation Sequencing (NGS) may enable estimating relationships among genotypes using allelic variation of multiple nuclear genes simultaneously. We explored the potential and caveats of this strategy in four genetically distant Lilium cultivars to estimate their genetic divergence from transcriptome sequences using three approaches: POFAD (Phylogeny of Organisms from Allelic Data, uses allelic information of sequence data), RAxML (Randomized Accelerated Maximum Likelihood, tree building based on concatenated consensus sequences) and Consensus Network (constructing a network summarizing among gene tree conflicts). Twenty six gene contigs were chosen based on the presence of orthologous sequences in all cultivars, seven of which also had an orthologous sequence in Tulipa, used as out-group. The three approaches generated the same topology. Although the resolution offered by these approaches is high, in this case there was no extra benefit in using allelic information. We conclude that these 26 genes can be widely applied to construct a species tree for the genus Lilium.

SUBMITTER: Shahin A

PROVIDER: S-EPMC4202788 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Using multi-locus allelic sequence data to estimate genetic divergence among four Lilium (Liliaceae) cultivars.

Shahin Arwa A Smulders Marinus J M MJ van Tuyl Jaap M JM Arens Paul P Bakker Freek T FT

Frontiers in plant science 20141020

Next Generation Sequencing (NGS) may enable estimating relationships among genotypes using allelic variation of multiple nuclear genes simultaneously. We explored the potential and caveats of this strategy in four genetically distant Lilium cultivars to estimate their genetic divergence from transcriptome sequences using three approaches: POFAD (Phylogeny of Organisms from Allelic Data, uses allelic information of sequence data), RAxML (Randomized Accelerated Maximum Likelihood, tree building ba ...[more]

PMID: 25368628

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Project description:The former genus Nomocharis, which has been merged as a clade within the genus Lilium (Liliaceae), represents one of the most complicated and unclear groups included in the latter. Research on members of the Nomocharis clade has been quite limited due to the sampling difficulties caused by its selective environmental preferences. In this study, we propose a new species within this clade, Lilium liangiae, as a further bridge connecting the former genus Nomocharis with other members of the genus Lilium. We conducted morphological clustering, phylogenetic, and comparative genomics analyses of nuclear internal spacers and the newly generated complete chloroplast genome, in conjunction with previously published sequences, and performed ancestral state reconstruction to clarify the evolutionary pattern of important traits in Lilium. The clustering results of 38 morphological traits indicated that the new species is allied to Nomocharis, further increasing the morphological polymorphism in the latter. The phylogenetic results and morphological clustering both supported L. liangiae belonging to the subclade Ecristata in Nomocharis, its closest affinity being Lilium gongshanense. Inconsistencies in phylogenetic relationships were detected between nuclear and plastid datasets, possibly due to ancient hybridization and ongoing introgression. Comparative genomics revealed the conservation and similarity of their chloroplast genomes, with variations observed in the expansion and contraction of the IR regions. A/T and palindromic repeat sequences were the most abundant. Seven highly variable regions (Pi≥0.015) were identified as potential molecular markers based on the chloroplast genomes of 47 species within Lilium. Both nuclear and plastid genes exhibited very low variability within the Nomocharis clade, contrasting with their highly variable morphological appearance. The ancestral state reconstruction analysis suggests that the campanulate flower form, as in L. liangiae, arose at least three times within the genus Lilium, revealing parallel evolution in the latter. Overall, this study adds important genetic and morphological evidence for understanding the phylogenetic relationships and parallel evolution patterns of species within the genus Lilium.

Dataset Information

Using multi-locus allelic sequence data to estimate genetic divergence among four Lilium (Liliaceae) cultivars.

Publications

Using multi-locus allelic sequence data to estimate genetic divergence among four Lilium (Liliaceae) cultivars.

Similar Datasets

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