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Dissertation Research: Detecting introgression in the presence of incomplete lineage sorting: phylogenomics and hybridization in Chylismia (Onagraceae)

Dissertation Research: Detecting introgression in the presence of incomplete lineage sorting: phylogenomics and hybridization in Chylismia (Onagraceae)
论文研究:在谱系排序不完整的情况下检测基因渗入:Chylismia(Onagraceae)的系统基因组学和杂交
批准号:
1601402
负责人:
Bruce Baldwin
金额:
$2.04万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-01 至 2018-06-30

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英文摘要
A major goal of evolutionary biology has been to use DNA sequences to reconstruct the evolutionary history of relationships among organisms - to reconstruct the tree of life. However, biologists are increasingly aware that many species hybridize, resulting in a 'network' of life. This research introduces a new mathematical model to infer hybridization over the tree of life, and tests the model with DNA data from a group of highly hybridizing evening primrose plants that grow in the harsh habitats of the Sonoran, Mojave and Great Basin deserts. This project also will provide bioinformatics and training and research experience to undergraduates, and produce computer software to detect hybridization events that will be disseminated freely via the Internet.Hybridization is an important evolutionary process in a substantial portion of the tree of life that may act as an evolutionary catalyst by increasing the adaptive variation within lineages. However, inferring hybridization in a phylogenetic context is difficult due to the lack of methods that model evolutionary scenarios involving both incomplete lineage sorting and introgression. This research incorporates both empirical and theoretical work to address the challenges of inferring hybridization and examining its evolutionary significance. The researchers will use next-generation sequencing and genomic datasets to study the evolutionary consequences of introgression and historical biogeography across a homoploid hybrid complex in the plant genus Chylismia (Onagraceae). They also will apply both empirical datasets and simulated datasets to develop and test a novel Bayesian approach for detecting introgression that combines aspects of both phylogenetic and coalescent theory. Finally, they will quantify the genomic structural changes that accompany reticulate evolution and their functional significance in Chylismia using whole chloroplast genomes and markers from across the nuclear genome.
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Digitization TCN: Collaborative Research: Digitizing "endless forms": Facilitating Research on Imperiled Plants with Extreme Morphologies
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    1802102
  • 项目类别:
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