ArticleBMC genomics2015
Evolutionary insights from de novo transcriptome assembly and SNP discovery in California white oaks.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 35 citations in OpenAlex.
- Reidentification of hybridization events with transcriptomic data and phylogenomic study in Seabuckthorn.Scientific reports · 2025Article
- The roles of divergent and parallel molecular evolution contributing to thermal adaptive strategies in trees.Plant, cell & environment · 2022Article
- Multiomics Molecular Research into the Recalcitrant and OrphanInternational journal of molecular sciences · 2022Review
- High-quality genome and methylomes illustrate features underlying evolutionary success of oaks.Nature communications · 2022Article
- How Quercus ilex L. saplings face combined salt and ozone stress: a transcriptome analysis.BMC genomics · 2018Article
- Landscape genomics provides evidence of climate-associated genetic variation in Mexican populations ofEvolutionary applications · 2018Article
- Assessment of shared alleles in drought-associated candidate genes among southern California white oak species (Quercus sect. Quercus).BMC genetics · 2018Article
- Evolutionary insights from comparative transcriptome and transcriptome-wide coalescence analyses in Tetrastigma hemsleyanum.BMC plant biology · 2018Article
- Article
- Hardwood Tree Genomics: Unlocking Woody Plant Biology.Frontiers in plant science · 2018Article
- Transcriptome Signatures of Selection, Drift, Introgression, and Gene Duplication in the Evolution of an Extremophile Endemic Plant.Genome biology and evolution · 2017Article
- First Draft Assembly and Annotation of the Genome of a California Endemic OakG3 (Bethesda, Md.) · 2016Article
- Gene flow and natural selection shape spatial patterns of genes in tree populations: implications for evolutionary processes and applications.Evolutionary applications · 2016Article
- Assembly, Assessment, and Availability of De novo Generated Eukaryotic Transcriptomes.Frontiers in genetics · 2015Review
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Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReference transcriptomes provide valuable resources for understanding evolution within and among species. We de novo assembled and annotated a reference transcriptome for Quercus lobata and Q. garryana and identified single-nucleotide polymorphisms (SNPs) to provide resources for forest genomicists studying this ecologically and economically important genus. We further performed preliminary analyses of genes important in interspecific divergent (positive) selection that might explain ecological differences among species, estimating rates of nonsynonymous to synonymous substitutions (d N/d S) and Fay and Wu's H. Functional classes of genes were tested for unusually high d N/d S or low H consistent with divergent positive selection.
resultsOur draft transcriptome is among the most complete for oaks, including 83,644 contigs (23,329 ≥ 1 kbp), 14,898 complete and 13,778 partial gene models, and functional annotations for 9,431 Arabidopsis orthologs and 19,365 contigs with Pfam hits. We identified 1.7 million possible sequence variants including 1.1 million high-quality diallelic SNPs - among the largest sets identified in any tree. 11 of 18 functional categories with significantly elevated d N/d S are involved in disease response, including 50+ genes with d N/d S > 1. Other high-d N/d S genes are involved in biotic response, flowering and growth, or regulatory processes. In contrast, median d N/d S was low (0.22), suggesting that purifying selection influences most genes. No functional categories have unusually low H.
conclusionsThese results offer preliminary support for the hypothesis that divergent selection at pathogen resistance are important factors in species divergence in these hybridizing California oaks. Our transcriptome provides a solid foundation for future studies of gene expression, natural selection, and speciation in Quercus.
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