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Project Information: This position is focused on nonnative and native Lonicera (honeysuckles), their genetic structure, identification, fecundity and interactions with Drosophila suzukii (spotted wing Drosophila, SWD). Many of the nonnative Lonicera species invading Minnesota are not identified and are hybridizing, making management and regulation challenging.
We genotyped 2,485 native and nonnative Lonicera individuals from 16 taxa using genome-wide markers generated via reduced-representation sequencing (DArTseq). This position will analyze genetic structure, assess species identification, and detect hybrids. Morphological data for identification, SWD infestation rates, and seed viability for the genotyped individuals were also collected. These data have direct applications to the management and regulation of nonnatives and the conservation of native Lonicera.
Duties/Responsibilities:
Conduct population genetic analyses of genome-wide SNP data, integrating results with geographic origin, key morphological traits, SWD infestation levels, and seed viability (see an example from our team’s research at https://doi.org/10.1002/ajb2.70124; or copy/paste the link in your search browser
Conduct statistical analyses to examine differences in morphology, SWD infestation, and fecundity among taxa
Prepare peer-reviewed publications, reports, and stakeholder guides on native and nonnative honeysuckles and SWD
Supervise undergraduate researchers
Attend and present at professional, group and individual meetings
Minimum highest degree of Ph.D. with proficiency in statistical analysis and programing in R Studio
Demonstrated experience in population genetics using genome-wide SNP datasets (e.g., DArTseq, GBS, RADseq, or similar sequencing and analysis using STRUCTURE, dartR, PCA, SplitsTree)
Proficiency in statistical analysis and interpretation of complex biological datasets
Working knowledge of software for the analysis of genome-wide SNP data (STRUCTURE, dartR, PCA, SplitsTree)
Excellent organizational skills and experience with large data sets
Valid driver’s license, or acquisition within one month of hiring date.
Preferred Skills and Training:
Ph.D. in Genetics, Computational Biology, Bioinformatics, Agronomy, Horticulture, or related field in genome analyses
Publications or thesis on the genetic structure of organisms and diversity from genome-wide SNP markers generated via reduced representation sequencing (e.g. DArTseq) using tools such as dartR, STRUCTURE, PCA, and SplitsTree
Knowledge of plant taxonomy, anatomy, and invasive plants
Grant management experience, including project timelines, personnel, and budgets
Demonstrated writing skills, such as peer-reviewed publications, grant proposals, and materials for lay audiences
Record of presentations, to researchers, stakeholders, funding agencies, and the public summarizing research findings
Excellent communication skills, with ability to translate complex computational findings to diverse stakeholders
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.