Allozymes were used to study the spatial attributes of clones (genets) comprising a population of Pteridium aquilinum (L.) Kuhn var. latiusculum (Desv.) Underw. ex Heller (bracken fern) in the Appalachian Mountains of Virginia. Ramets (individual leaves) were sampled at intervals of 165 m (or less in some cases) and genotyped for six polymorphic isozyme loci to produce a map depicting the spatial patterning of genets. Forty-five distinct genotypes were detected, 14 of which were sampled more than once, five of these more than four times. Genotype proportions at all loci except Pgm-1 conformed to Hardy-Weinberg expectations. Estimation of allele frequencies in the population used a "round-robin" approach that removed any upward bias for rare alleles that distinguish genets. Based on these allele frequencies, the probability that each genotype could arise independently and be sampled was calculated. Some genotypes represented by widely separated ramets had very low probabilities of re-encounter, documenting fragmentation of widespread genets. Coarse-scale mapping indicated a population consisting of many small genets and a few very large ones (up to 1,015 m across). The larger genets tended to be irregular in shape, fragmented, and overlapping. Fine scale mapping of individual fronds in spatially discrete patches of ramets revealed extensive intergrowth of genets, indicating that P. aquilinum exhibits a "guerrilla-type" clonal morphology.

Download full-text PDF

Source
http://dx.doi.org/10.1002/j.1537-2197.1993.tb13837.xDOI Listing

Publication Analysis

Top Keywords

study spatial
8
bracken fern
8
pteridium aquilinum
8
allele frequencies
8
genets
7
spatial features
4
features clones
4
population
4
clones population
4
population bracken
4

Similar Publications

Background: Mitochondrial dysfunction and neuronal damage are major sign of cytopathology in Huntington's disease (HD), a neurodegenerative disease. Ubiquitin specific peptidase 11 (USP11) is a deubiquitinating enzyme involved in various physiological processes through regulating protein degradation. However, its specific role in HD is unclear.

View Article and Find Full Text PDF

Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.

BMC Med Imaging

January 2025

Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.

Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.

View Article and Find Full Text PDF

Background: Modern reconstruction algorithms for computed tomography (CT) can exhibit nonlinear properties, including non-stationarity of noise and contrast dependence of both noise and spatial resolution. Model observers have been recommended as a tool for the task-based assessment of image quality (Samei E et al., Med Phys.

View Article and Find Full Text PDF

The Indian scad, Decapterus russelli is one of the most exploited pelagic resources of India. Population genetic analyses using mitochondrial and nuclear markers indicated a lack of genetic structuring among populations from Indian waters. As this species is highly migratory, it is also important to establish the environmental influence on its population structure.

View Article and Find Full Text PDF

Glycosylated RNAs (glycoRNAs) have recently emerged as a new class of molecules of substantial interest owing to their potential roles in cellular processes and diseases. However, studying glycoRNAs is challenging owing to the lack of effective research tools including, but not limited to, imaging techniques to study the spatial distribution of glycoRNAs. Recently, we reported the development of a glycoRNA imaging technique, called sialic acid aptamer and RNA in situ hybridization-mediated proximity ligation assay (ARPLA), to visualize sialic acid-containing glycoRNAs with high sensitivity and specificity.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!