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Project Citation: 

US Department of Agriculture, and US Forest Service. Microsatellite genetic variation data for endangered Florida torreya (Torreya taxifolia Arn.). Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-05-31. https://doi.org/10.3886/E248799V1

Project Description

Project Title:  View help for Project Title Microsatellite genetic variation data for endangered Florida torreya (Torreya taxifolia Arn.)
Summary:  View help for Summary This data publication includes allele calls for microsatellite markers for Torreya taxifolia Arn. (Florida torreya) a critically endangered (IUCN 3.1) conifer with a very limited native range in the USA, occurring in two counties in Florida and one in Georgia where it persists in ravines along the Apalachicola River. The objectives of this work are to develop genetic markers to uniquely identify individuals, examine the structure of the in situ population, and use an ex situ germplasm resource to determine if reproduction without fertilization (apomixis) occurs. We developed a panel of microsatellite markers, sampled individuals in 2008-2010 from three natural in situ populations in the Florida Gulf Coast and found population structure at all levels tested. The markers were next applied to ex situ mothers, potential fathers, and progeny to investigate the occurrence of apomixis. Data include both in situ and ex situ amplicon lengths for the 12 microsatellite loci (base pair).
Original Distribution URL:  View help for Original Distribution URL https://www.fs.usda.gov/rds/archive/catalog/RDS-2025-0007

Scope of Project

Subject Terms:  View help for Subject Terms biota; Ecology; Ecosystems; Environment; Plant ecology; conifers; disease; forests; pathogen; reproductive strategies; simple sequential repeats (SSR); Florida torreya; Torreya taxifolia; Florida; Georgia
Geographic Coverage:  View help for Geographic Coverage Georgia, Alabama, Florida
Time Period(s):  View help for Time Period(s) 2008 – 2024
Data Type(s):  View help for Data Type(s) observational data
Collection Notes:  View help for Collection Notes DOI: https://doi.org/10.2737/RDS-2025-0007 Authors: Dreaden, Tyler J. ; Smith, Katherine E. ; Nelson, C. Dana ; Coffey, Emily E. D. ; Eserman, Lauren ; Smith, Jason A. Publication year: 2025 (Downloaded 2026-05-30)


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