Pollen gene flow and molecular identification of full-sib families in small and isolated population fragments of Gleditsia triacanthos L.

Author:

Owusu Sandra A.1,Schlarbaum Scott E.2,Carlson John E.3,Gailing Oliver1

Affiliation:

1. Michigan Technological University, School of Forest Resources and Environmental Science, 1400 Townsend Drive, Houghton, MI 49931, USA.

2. Department of Forestry, Wildlife and Fisheries, The University of Tennessee, Knoxville, TN 37996-4563, USA.

3. The Department of Ecosystem Science and Management, and Department of Plant Science, Pennsylvania State University, University Park, PA 16802, USA.

Abstract

To analyze the utility of isolated remnant populations for full-sibling (full-sib) identification among open-pollinated single-tree progeny in the outcrossing and insect-pollinated tree Gleditsia triacanthos L. (honey locust), we performed paternity analyses in forest fragments from two geographic regions using nuclear microsatellites. The first plot (Butternut Valley population) comprised only 7 trees, and 552 seedlings from a single seed parent were characterized at nuclear microsatellites. A large number of putative pollen donors (59) were identified in kinship analyses, but their individual contributions to the progeny were highly variable. Kinship and paternity analyses identified 149 putative full-sibs for genetic mapping sired by an external (unsampled) pollen parent. To better assess the frequency of long-distance pollen dispersal, a total of 180 seeds were collected from 6 seed parents in another fragmented population. In both plots, contemporary pollen dispersal occurred generally from outside the plots (99.38% and 87.50%–100% at the Butternut Valley and Ames Plantation sites, respectively) and thus over very long distances (>12 000 m in the Ames Plantation) suggesting that in highly fragmented landscapes, insect pollinators of honey locust are likely very effective long-distance dispersers.

Publisher

Canadian Science Publishing

Subject

Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics

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