Winter/Spring Population Characteristics of White-Tailed Deer in an Agricultural/Wetland Complex in Northeastern South Dakota

Habitat preference, cover characteristics of corn, movements, and sexual segregation patterns of white-tailed deer (Odocoileus virginianus) were evaluated at Sand Lake National Wildlife Refuge (SLNWR) in winter (January - March) and spring (April - June), 1993 and 1994. An average of 20 radio-collared deer were monitored per season, which resulted in 4, 058 relocations. Habitat preference was assessed using 95 and 50% home range contours that were estimated using an adaptive kernel method. Agricultural crops (i.e., corn [Zea mays], row crops other than corn [e.g., soybeans [Glycine max]], small grains [e. g., wheat [Triticum aestivum]], and alfalfa [Medicago sativa]) were generally preferred in winter within the 95% home range; whereas, treebelts and dense-cover grasslands were preferred within the 50% core area. Corn, row crops other than corn, treebelts, and brome-dominated grasslands were preferred within the 95% home range in spring. Within the 50% core area, alfalfa and treebelts were preferred. Although agricultural crops were generally preferred on SLNWR, emergent vegetation and brome-dominated grasslands were important to white-tailed deer, regardless of habitat availability. Use of corn by white-tailed deer on SLNWR increased quadratically with corn height and density. Corn serves as food to white-tailed deer from early development until maturity. Corn also acts as quality cover starting when plants reach 35 - 66 cm in height until harvest. Activity (e.g., feeding, loafing) in corn varies with digestibility, density, and height of corn. Localized movements by deer on SLNWR were determined from mean 95 and 50% home ranges. Mean white-tailed deer 95% home range size was 437 ha during winter and spring. Core area movements varied depending on sex and age of deer. Males had larger core areas (i.e., 48 - 59 ha) than either yearling (i.e., 1.5-year-old) females (i.e., 22 ha) or adult (i.e., ≥ 2.5- year-old) females (i.e., 39 ha). Yearling females had the most restricted core area movement (i.e., 22 ha). Site fidelity was evaluated using multi-response permutation procedures (MRPP) and range-overlap estimates. Site fidelity between years (i.e., intraseasonal site fidelity) and between seasons (i.e., interseasonal site fidelity) on SLNWR was moderate. Sexual segregation was evaluated with respect to differential use of space and habitats using MRPP and range-overlap techniques. Deer on SLNWR exhibited moderate sexual segregation in winter and high sexual segregation in spring. However, sexual segregation with respect to d ifferential use of habitats did not exist. Habitat preference, movements, and sexual segregation patterns on SLNWR were all affected by landscape structure (i.e., wetland/agricultural complex} and density of deer. Changing agricultural practices promote optimal interspersion of habitats while maintaining necessary juxtaposition of habitats, which drives preference, importance, and movement patterns. Management strategies to control white-tailed deer on or near SLNWR must consider all aspects of these population characteristics in order to decrease depredation complaints on private lands

Alternative genomic diagnoses for individuals with a clinical diagnosis of Dubowitz syndrome

Abstract Dubowitz syndrome (DubS) is considered a recognizable syndrome characterized by a distinctive facial appearance and deficits in growth and development. There have been over 200 individuals reported with Dubowitz or a “Dubowitz-like” condition, although no single gene has been implicated as responsible for its cause. We have performed exome (ES) or genome sequencing (GS) for 31 individuals clinically diagnosed with DubS. After genome-wide sequencing, rare variant filtering and computational and Mendelian genomic analyses, a presumptive molecular diagnosis was made in 13/27 (48%) families. The molecular diagnoses included biallelic variants in SKIV2L, SLC35C1, BRCA1, NSUN2; de novo variants in ARID1B, ARID1A, CREBBP, POGZ, TAF1, HDAC8, and copy-number variation at1p36.11(ARID1A), 8q22.2(VPS13B), Xp22, and Xq13(HDAC8). Variants of unknown significance in known disease genes, and also in genes of uncertain significance, were observed in 7/27 (26%) additional families. Only one gene, HDAC8, could explain the phenotype in more than one family (N = 2). All but two of the genomic diagnoses were for genes discovered, or for conditions recognized, since the introduction of next-generation sequencing. Overall, the DubS-like clinical phenotype is associated with extensive locus heterogeneity and the molecular diagnoses made are for emerging clinical conditions sharing characteristic features that overlap the DubS phenotype

Alternative genomic diagnoses for individuals with a clinical diagnosis of Dubowitz syndrome.

Dubowitz syndrome (DubS) is considered a recognizable syndrome characterized by a distinctive facial appearance and deficits in growth and development. There have been over 200 individuals reported with Dubowitz or a "Dubowitz-like" condition, although no single gene has been implicated as responsible for its cause. We have performed exome (ES) or genome sequencing (GS) for 31 individuals clinically diagnosed with DubS. After genome-wide sequencing, rare variant filtering and computational and Mendelian genomic analyses, a presumptive molecular diagnosis was made in 13/27 (48%) families. The molecular diagnoses included biallelic variants in SKIV2L, SLC35C1, BRCA1, NSUN2; de novo variants in ARID1B, ARID1A, CREBBP, POGZ, TAF1, HDAC8, and copy-number variation at1p36.11(ARID1A), 8q22.2(VPS13B), Xp22, and Xq13(HDAC8). Variants of unknown significance in known disease genes, and also in genes of uncertain significance, were observed in 7/27 (26%) additional families. Only one gene, HDAC8, could explain the phenotype in more than one family (N = 2). All but two of the genomic diagnoses were for genes discovered, or for conditions recognized, since the introduction of next-generation sequencing. Overall, the DubS-like clinical phenotype is associated with extensive locus heterogeneity and the molecular diagnoses made are for emerging clinical conditions sharing characteristic features that overlap the DubS phenotype