Single-sample methods of bottleneck detection are now routine analyses in studies of wild populations and conservation genetics. Three common approaches to bottleneck detection are the heterozygosity excess, mode-shift, and M-ratio tests. Empirical groundtruthing of these methods is difficult, but their performances are critical for the accurate reconstruction of population demography. We use two banner-tailed kangaroo rat (Dipodomys spectabilis) populations from southeastern Arizona (USA) that are known to have experienced recent demographic reductions to search for genetic bottleneck signals with eight microsatellite loci. Over eight total sample-years, neither population showed a genetic bottleneck signature. M-ratios in both populations were large, stable, and never fell below a critical significance value (Mc). The mode shift test did not detect any distortion of allele frequencies, and tests of heterozygosity excess were not significant in postbottleneck samples when we used standard microsatellite mutation models. The genetic effects of bottlenecks like those experienced by our study populations should be strongly influenced by rates of mutation and migration. We used genetic parentage data to estimate a relatively high mutation rate in D. spectabilis (0.0081 mutants/generation/locus), but mutation alone is unlikely to explain the temporal distribution of rare alleles that we observed. Migration (gene flow) is a more likely explanation, despite prior mark-recapture analysis that estimated very low rates of interpopulation dispersal. We interpret our kangaroo rat data in light of the broader literature and conclude that in natural populations connected by dispersal, demographic bottlenecks may prove difficult to detect using molecular genetic data.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1365-294X.2007.03283.xDOI Listing

Publication Analysis

Top Keywords

demographic bottlenecks
8
banner-tailed kangaroo
8
dipodomys spectabilis
8
bottleneck detection
8
heterozygosity excess
8
kangaroo rat
8
genetic bottleneck
8
genetic
6
populations
5
bottlenecks accompanied
4

Similar Publications

Unveiling the Genetic Diversity and Demographic History of in Sierra Leone Using Genotyping-By-Sequencing.

Plants (Basel)

December 2024

Sustainable Perennial Crops Laboratory, United States Department of Agriculture, Agriculture Research Service, Beltsville, MD 2005, USA.

is a rare Coffea species boasting a flavor profile comparable to Arabica coffee () and has a good adaptability to lowland tropical climates. This species faces increasing threats from climate change, deforestation, and habitat fragmentation in its West African homeland. Using 1037 novel SNP markers derived from Genotyping-by-Sequencing (GBS), we revealed the presence of three distinct natural populations (mean Fst = 0.

View Article and Find Full Text PDF

Population Genomics of Japanese Macaques (Macaca fuscata): Insights into Deep Population Divergence and Multiple Merging Histories.

Genome Biol Evol

January 2025

Faculty of Information Science and Technology, Hokkaido University, Kita-14, Nishi-9, Kita-ku, Sapporo, Hokkaido, Japan 060-0814.

The influence of long-term climatic changes such as glacial cycles on the history of living organisms has been a subject of research for decades, but the detailed population dynamics during the environmental fluctuations and their effects on genetic diversity and genetic load are not well understood on a genome-wide scale. The Japanese macaque (Macaca fuscata) is a unique primate adapted to the cold environments of the Japanese archipelago. Despite of the past intensive research for the Japanese macaque population genetics, the genetic background of Japanese macaques at the whole-genome level has been limited to a few individuals, and the comprehensive demographic history and genetic differentiation of Japanese macaques have been underexplored.

View Article and Find Full Text PDF

Stages and causes of the evolution of language and consciousness: A theoretical reconstruction.

Biosystems

December 2024

Institute of Philosophy and Law, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; Department of International Relations and Regional Studies, Novosibirsk State Technical University, Novosibirsk, Russia. Electronic address:

This article presents a refinement of theoretical explanations of the main stages of linguistic and cognitive evolution in anthropogenesis. The concepts of language, consciousness, self-consciousness, the self, the unconscious, the subconscious, and the relation between free will and determinism remain at the center of active and complex debates in philosophy and neuroscience. A basic theoretical apparatus comprising the central concepts of "concern" and "providing structure" (an extension of the biological concept of "adaptation") develops the paradigm of the extended evolutionary synthesis.

View Article and Find Full Text PDF

Abies guatemalensis Rehder, an endangered conifer endemic to Central American highlands, is ecologically vital in upper montane forests. It faces threats from habitat fragmentation, unsustainable logging, and illegal Christmas tree harvesting. While previous genetic studies on mature trees from eighteen populations showed high within-population diversity and limited among-population differentiation, the genetic impact of recent anthropogenic pressures on younger generations has yet to be discovered.

View Article and Find Full Text PDF

Robust multi-modal fusion architecture for medical data with knowledge distillation.

Comput Methods Programs Biomed

December 2024

School of Biomedical Engineering, Capital Medical University, No.10, Xitoutiao, You An Men, Fengtai District, Beijing 100069, China; Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, No.10, Xitoutiao, You An Men, Fengtai District, Beijing 100069, China. Electronic address:

Background: The fusion of multi-modal data has been shown to significantly enhance the performance of deep learning models, particularly on medical data. However, missing modalities are common in medical data due to patient specificity, which poses a substantial challenge to the application of these models.

Objective: This study aimed to develop a novel and efficient multi-modal fusion framework for medical datasets that maintains consistent performance, even in the absence of one or more modalities.

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!