Submission Type

Poster

Abstract

Brett Lambert- 1st Year Master’s Student at The Ohio State University

Department of Evolution, Ecology, and Organismal Biology (Freudenstein Lab)

Title: A phylogenetic evaluation of proposed segregates of Asarum canadense

Abstract: The wild gingers (Asarum: Aristolochiaceae) are rhizomatous forbs native to Europe, Asia, and North America. A member of subgenus Asarum (A. canadense) is currently circumscribed as containing two varieties, A. canadense var. reflexum and A. canadense var. acuminatum. These varieties have previously been recognized as distinct species based on morphological variation. This project will evaluate variation across A. canadense using molecular (maximum likelihood and coalescent trees from SNPs) and morphological (Principal Component Analysis; PCA) data to determine if there is a basis for recognition of more than one species. If the morphological and molecular data are congruent, there will be evidence across different data types that support recognition of separate species.

Keywords: species delimitation, Asarum canadense, morphometrics, PCA, maximum likelihood, coalescent, phylogenetics

Comments

Dr. John Freudenstein - The Ohio State University

Included in

Botany Commons

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A phylogenetic evaluation of proposed segregates of A. canadense

Brett Lambert- 1st Year Master’s Student at The Ohio State University

Department of Evolution, Ecology, and Organismal Biology (Freudenstein Lab)

Title: A phylogenetic evaluation of proposed segregates of Asarum canadense

Abstract: The wild gingers (Asarum: Aristolochiaceae) are rhizomatous forbs native to Europe, Asia, and North America. A member of subgenus Asarum (A. canadense) is currently circumscribed as containing two varieties, A. canadense var. reflexum and A. canadense var. acuminatum. These varieties have previously been recognized as distinct species based on morphological variation. This project will evaluate variation across A. canadense using molecular (maximum likelihood and coalescent trees from SNPs) and morphological (Principal Component Analysis; PCA) data to determine if there is a basis for recognition of more than one species. If the morphological and molecular data are congruent, there will be evidence across different data types that support recognition of separate species.

Keywords: species delimitation, Asarum canadense, morphometrics, PCA, maximum likelihood, coalescent, phylogenetics