Search Results (79)

Philosophical genealogy constitutes a mode of inquiry that investigates either (a) the historical emergence of contemporary ideas, institutions, religions, moral norms, and even affective dispositions by tracing them to the intersection of diverse and often heterogeneous historical practices, beliefs, customs, and technologies or (b) demonstrates how a phenomenon could have emerged by providing a pragmatic reconstruction of the object under investigation. The following entry endeavors to explore various formulations of the genealogical method. Full article

The Shagya Arabian horse breed was created to address the need of Imperial Hussars (Hungarian light horsemen) for a horse with the intelligence, essential characteristics, and endurance of the Arabian breed, but also of a bigger size and having a better weight-carrying capacity and jumping ability. The present study aimed to explore the genetic variability and population structure of the uninvestigated Shagya Arabian horse population in Bulgaria based on genotyping at 15 equine microsatellite markers. A total of 140 horses belonging to six genealogical lines (Dahoman, Gazal, Ibrahim, Kuhailan Zaid, O’Bajan, and Shagya) were included in the survey. Genetic distances, analysis of molecular variance, principal coordinates analysis, and a Bayesian method were applied. The mean number of alleles in the individual subpopulations ranged from 3.67 in the Shagya to 5.13 in the Ibrahim sire line. The F_IS index was negative or close to 0 for the entire population and was −0.202. The overall F_ST was 0.014, indicating a low level of genetic differentiation between the subpopulations. The results of the principal components and the STRUCTURE analysis showed some level of admixture among the subpopulations in almost all genealogical lines. However, structural analysis also indicated a genetic similarity between the Ibrahim, Kuhailan Zaid, and Shagya lineages, while it showed a completely different genetic profile regarding the other three sire lines. Due to the higher admixture and the discovery of more distinct genetic clusters, it can be assumed that there is a higher gene flow from one lineage to another in the Shagya Arabian horse population in Bulgaria and that there is sufficient genetic variability and diversity to suggest adequate measures for preserving this rare breed. In addition, this study may highlight the risk of the loss of gene diversity in this population and help to implement suitable breeding programs to preserve genetic diversity. Full article

This article addresses the epistemic and political problem of self-referentiality in theology within the context of post-secular societies as a demand for public relevance of faculties of theology within the 21st-century university. It focuses on the epistemological emergence of public theology as a distinct knowledge, such as human rights, and ecological thinking, contributing to the public mission of knowledge production and interdisciplinary engagement. This study applies Michel Foucault’s archaeological and genealogical methods in dialogue with Michel de Certeau’s insights into the archaeology of religious practices through a multi-layered analytical approach, including archaeology of knowledge, apparatuses of power, pastoral government, and spirituality as a genealogy of ethics. As a result of the analysis, it examines the historical conditions of possibility for the emergence of a public theology and how it needs to be thought synchronously with other formations of knowledge, allowing theology to move beyond its self-referential model of approaching dogma and the social practices derived from it. This article concludes programmatically that the development of public theology requires an epistemological reconfiguration to displace its self-referentiality through critical engagement with a public rationality framework as an essential task for the public relevance and contribution of theology within contemporary universities and plural societies. Full article

Considering that effective selection strategies are essential for the development of new ornamental pepper cultivars, the objective of this work was to select superior partially endogamic lines (PEL) of pepper in a F_2:3 generation, using the combination of the genealogical method with mixed linear models. The experiment consisted of four cycles: parents and generations F₁, F₂ and F_2:3. Qualitative (QLD) and quantitative (QTD) descriptors were evaluated. QLD were analyzed through descriptive statistics, and QTD were analyzed through estimates of genetic parameters and prediction of genetic values by REML/BLUP. Multivariate analysis was performed to group and select individuals based on QLD and QTD simultaneously. The descriptors number of flowers per axil, flower position, mature fruit color, fruit position, fruit brightness, and capsaicin in the placenta presented no variation within the F_2:3 population. The selection accuracy varied from high to very high, denoting a high experimental precision. Higher additive genetic action was detected for descriptors, considering the individual heritability in the strict sense and the additive heritability within the progeny. Forty-eight PELs were selected quantitatively and, considering QLD and QTD descriptors simultaneously, the number of individuals was reduced from 48 to 30 PELs. The combined strategies used enabled to establish the best strategy for an efficient selection of superior PEL of ornamental pepper. Full article

This study offers a detailed comparative analysis of the reflexes of Proto-Bantu noun class prefixes within nine Gabonese languages belonging to the B50, B60, and B70 groups of Guthrie’s referential inventory of the Bantu languages. Genealogically speaking, all of them are part of the Kwilu-Ngounie subclade of the Bantu family’s West-Coastal Bantu branch. Starting out from a robust dataset comprising over 4000 lexical items collected through fieldwork and existing descriptions, the Comparative Method is used to distinguish changes in noun class morphology due to regular sound shifts from those emerging from analogical reanalysis and levelling. The comparative study shows a systematic reduction and reorganization of the inherited Proto-Bantu noun class system, notably the loss of classes 12/13 and 19 across all languages, variable retention and loss of classes 7/8 and 11, and complex patterns of reshuffling involving classes 5, 9/10, and 1/2. Key innovations, potentially reinforcing lexicon-based hypotheses of phylogenetic subgrouping within Kwilu-Ngounie, include the development of a class 7 allomorphy conditioned by stem-initial segments in the B50 languages and the emergence of vocalic prefixes restricted to the B60 and B70 languages. Full article

Objectives: To analyze Colombia’s current human population, we employed a population genetics approach enriched by genealogical, demographic, cultural, and historical data to learn about its evolutionary history and to elucidate ethnic belonging and relationship patterns between its various population groups. Materials and Methods: This study relied on ten autosomal microsatellite markers (STRs) from 1364 individuals surveyed throughout the country. Aside from employing descriptive population genetics, substructure, and distance analysis, this investigation evaluated genealogical, demographic, cultural, and historical data gathered from fieldwork surveys. Results: We present a genetic diversity and ethnic belonging map of Colombia that suggests a nine-population classification (under Afro-descendant, Native American, and Admixed ethnicity labels) that reveals traces of evolutionary processes discussed in the light of the recent literature based on modern molecular markers. Colombia’s genetic trace from Africa varies among territories, as shown here by two differentiated Afro ancestral components, Chocó and San Andrés, in addition to the Afro admixture category. Some Native American peoples like the Wayúu, Zenú, Ticuna, Huitoto, and Cocama have a genetic configuration that remains relatively preserved. Nevertheless, other self-determined indigenous peoples who remain in their ancestral territories exhibit genetic introgression that is also reflected by their acculturation levels such as the Pijaos, Kankuamos, and Mokaná. The population classified as European admixture also shows an ancestral component that seems to be more fixed throughout neighboring territories but whose fluctuation depends on its specific demographic histories. Conclusions: This study combines STRs, a targeted sampling strategy, and advanced analytical tools to explore Colombia’s genetic diversity and evolutionary history. Locally, these findings enhance the understanding of genetics in a post-conflict society, crucial for human identification. Globally, they contribute to human population genetics, helping address evolutionary questions using data from diverse human ancestries and geographies. Full article

Anthropogenic activities and rapidly increasing climate change have led to a significant loss of genetic diversity in domestic animals. Genealogical data have traditionally been used to monitor genetic diversity. However, due to dependency on pedigree completeness and significant errors that can occur in genealogical records, inaccurate estimation of population parameters, such as the inbreeding coefficient or effective population size, might occur. To reduce possible errors, it is necessary to combine genealogical data with molecular data. An integrated approach using genealogical and molecular data leads to the optimization of breeding programs while controlling the inbreeding that can occur within the population of domestic animals. Molecular techniques such as single nucleotide polymorphism (SNP) genotyping, whole-genome sequencing (WGS), or genome-wide association studies (GWASs) enable a detailed understanding of breed-specific genetic profiles and their use in conservation programs. In addition, molecular methods such as structural variation (SV) analysis and pangenome and epigenomic profiling provide a more comprehensive insight into genetic diversity. The conservation of genetic diversity is of particular importance for an autochthonous domestic breed due to its resilience to unfavorable climatic conditions, its specific productive traits, and its disease resistance. A combined approach of genealogical and molecular data helps to maintain genetic diversity and sustainable agricultural systems under evolving environmental challenges. Full article

Background/Objectives: Inferring genetic relationships based on genetic data has gained an increasing focus in the last years, in particular explained by the rise of forensic investigative genetic genealogy (FIGG) but also the introduction of expanded SNP panels in forensic genetics. A plethora of statistical methods are used throughout publications; in direct-to-consumer (DTC) testing, the shared segment approach is used, in screenings of relationships in medical genetic research, for instance, methods-of-moment estimators, e.g., estimation of the kinship coefficient, are used, and in forensic genetics, the likelihood and the likelihood ratio are commonly used to evaluate the genetic data under competing hypotheses. This current study aims to compare and contrast examples of the aforementioned statistical methods to infer relationships from genetic data. Methods/Results: This study includes some historical and some recently published panels of SNP markers to illustrate the strength and caveats of the statistical methods on different marker sets and a selection of pre-defined pairwise relationships, 1st through 7th degree. Extensive simulations are performed and subsequently subsetted based on the marker panels alluded to above. As has been shown in previous research, the likelihood ratio is most powerful, i.e., high correct classifications, when SNP data are sparse, say below 20,000 markers, whereas the windowed kinships and segment approaches are equally powerful when very dense SNP data are available, say >20,000 markers. In between lay approaches using method-of-moments estimators which perform well when the degree of relationship is below four but less so beyond, say, 4th degree relationships. The likelihood ratio is the only method that is easily adapted for non-pairwise tests and therefore has an additional depth not addressed in the current study. We furthermore perform a study of genotyping error rates and their impact on the different statistical methods employed to infer relationships, where the results show that error rates below 1% seem to have low impact across all methods, in particular for errors yielding false heterozygote genotypes. Full article

Rapid and effective methods for tracing the geographic origin of wildlife samples are essential for tackling the illegal wildlife trade. Traditional morphological categorization methods are often inadequate as relying on the mitochondrial COXI barcode is insufficient for determining geographic populations. To address these limitations, we developed a bioinformatics-based pipeline for the rapid identification of traceable nuclear genome loci. This pipeline has been applied to the whole-genome sequence (WGS) data of China’s flagship species, the snub-nosed monkey (Rhinopithecus spp.). These species are known for sex-biased dispersal and hybrid speciation, which complicates genealogy tracing. Using phylogenetic principles, we employed the Robinson and Foulds (RF) distance and scanned over 1,850,726 population-specific loci, identifying five pairs that can trace genealogy origins rapidly and cost-effectively using PCR. Additionally, we found that relying only on mitochondrial genetic information is insufficient for rapid and accurate traceability to subspecies-level geographic populations. Our pipeline efficiently identifies loci and traces the geographic origin of snub-nosed monkey individuals, providing a valuable tool for species preservation and combating the wildlife trade. This approach can be extended to other species, aiding in the conservation of endangered wildlife and tracing criminal evidence. Full article

This research provides a systematic reconstruction of nine botanical names from the Papuan languages spoken on Alor Island. Although genealogical links among the Papuan Timor–Alor–Pantar languages have been previously investigated, linguistic micro-studies of the hypothesized ‘shared’ ancestor languages within languages of the individual islands remain sparse. This study has three main aims: Firstly, to provide etymological reconstructions of Alor–Pantar Papuan words on a micro-level, focusing on Alor Island and specifically on plant names, which represent a cornerstone of Alor culture and history. Adopting the Comparative Method comparing cognates of 15 local languages, this research postulates historical phonetic shifts and language alignment phenomena and proposes proto-forms of the words in proto-Alor. Secondly, to shed light on possible prehistoric language contact and settlement patterns. A key finding suggests that the initial consonantal shifts *b > b > f > p in the languages is a probable loanword feature originating from the Austronesians. The geographical spread could indicate the influence of external trade and/or settlement patterns within the Papuan populations. Lastly, to provide a backbone for future etymological research on Papuan languages in Alor (and beyond) by mapping out aspects of language origins and phonetic influences and establish features of the shared proto-language(s). Full article

Backround: The Hucul horse breed formed in the region of the Eastern Carpathians, likely through the natural crossbreeding of oriental horses. After World War II, their population significantly decreased, leading to the breeding being based on only 14 female lines, whose founders often had unknown origins. To preserve the breed’s unique characteristics, it is now part of a Genetic Resources Conservation Program, which prioritizes the maintenance of genetic diversity. This study aims to clarify the maternal relatedness of founder mares and assess genetic diversity using mitochondrial DNA (mtDNA). Methods: The hyper-variable region of the mitochondrial genome was analyzed in 57 horses. Pedigree records were used to trace genealogical lines, and molecular analysis focused on identifying maternal relationships between founder mares. Results: The analysis revealed close maternal kinships between the lines of Jagoda and Bajkałka, as well as Sekunda and Sroczka. In the Hucul population, seventeen mitochondrial haplotypes were identified, with three that did not match any established lines. The findings reveal discrepancies between pedigree records and mitochondrial DNA data, suggesting potential inaccuracies in the Hucul horse studbook. Conclusions: The findings highlight the importance of combining pedigree and molecular data to refine strategies to preserving genetic diversity, minimizing inbreeding, and improving the management the Genetic Resources Conservation Program. Full article

In a recent study, I demonstrated that large numbers of L2 (second language) speakers do not appear to influence the morphological or information-theoretic complexity of natural languages. This paper has three primary aims: First, I address recent criticisms of my analyses, showing that the points raised by my critics were already explicitly considered and analysed in my original work. Furthermore, I show that the proposed alternative analyses fail to withstand detailed examination. Second, I introduce new data on the information-theoretic complexity of natural languages, with the estimates derived from various language models—ranging from simple statistical models to advanced neural networks—based on a database of 40 multilingual text collections that represent a wide range of text types. Third, I re-analyse the information-theoretic and morphological complexity data using novel methods that better account for model uncertainty in parameter estimation, as well as the genealogical relatedness and geographic proximity of languages. In line with my earlier findings, the results show no evidence that large numbers of L2 speakers have an effect on natural language complexity. Full article

Background/Objectives: Emerging forensic genetic applications, such as forensic investigative genetic genealogy (FIGG), advanced DNA phenotyping, and distant kinship inference, increasingly require dense SNP genotype datasets. However, forensic-grade DNA often contains missing genotypes due to its quality and quantity limitations, potentially hindering these applications. Genotype imputation, a method that predicts missing genotypes, is widely used in population and medical genetics, but its utility in forensic genetics has not been thoroughly explored. This study aims to assess the performance of genotype imputation in forensic contexts and determine the conditions under which it can be effectively applied. Methods: We employed a simulation-based approach to generate realistic forensic SNP genotype datasets with varying numbers, densities, and qualities of observed genotypes. Genotype imputation was performed using Beagle software, and the performance was evaluated based on the call rate and imputation accuracy across different datasets and imputation settings. Results: The results demonstrate that genotype imputation can significantly increase the number of SNP genotypes. However, imputation accuracy was dependent on factors such as the quality of the original genotype data and the characteristics of the reference population. Higher SNP density and fewer genotype errors generally resulted in improved imputation accuracy. Conclusions: This study highlights the potential of genotype imputation to enhance forensic SNP datasets but underscores the importance of optimizing imputation parameters and understanding the limitations of the original data. These findings will inform the future application of imputation in forensic genetics, supporting its integration into forensic workflows. Full article

Achieving significant breakthroughs in both the fundamental theories and technological applications of artificial intelligence is essential for fostering its long-term development. Under the guidance of Professor Qian Xuesen’s theory of technological science, exploring the internal mechanisms of knowledge evolution in artificial intelligence holds profound theoretical and practical significance for promoting sustainable technological advancement. This study draws on literature from the Web of Science (WOS) database and employs methods such as knowledge mapping, natural language processing, clustering analysis, and citation analysis to outline the knowledge structure of the field, clarify the trajectory of sustainable development, and trace the technological genealogy of VR/AR technologies.This study divides the knowledge structure within the field of technological science into “basic theoretical knowledge—applied basic knowledge—applied knowledge”, enriching Qian’s theory of technological science from within and providing strong intellectual support and technological pathways for sustainable technological development in practice. Artificial intelligence encompasses 10 distinct knowledge domains, among which machine learning and deep learning constitute the basic theoretical knowledge, data intelligence, computer vision, and swarm intelligence are the applied basic knowledge, and image processing and human-computer intelligence are the applied knowledge. The development of VR/AR technology has formed two main sustainable development paths: “machine learning—data intelligence—intelligent systems—human computer intelligence”, and “deep learning—computer vision—image processing”. Full article

Background: Forensic investigative genetic genealogy (FIGG) has developed rapidly in recent years and is considered a novel tool for crime investigation. However, crime scene samples are often of low quality and quantity and are challenging to analyze. Deciding which approach should be used for kinship inference in forensic practice remains a troubling problem for investigators. Methods: In this study, we selected four popular approaches—KING, IBS, TRUFFLE, and GERMLINE—comprising one method of moment (MoM) estimator and three identical by descent (IBD) segment-based tools and compared their performance at varying numbers of SNPs and levels of genotyping errors using both simulated and real family data. We also explored the possibility of making robust kinship inferences for samples with ultra-high genotyping errors by integrating MoM and the IBD segment-based methods. Results: The results showed that decreasing the number of SNPs had little effect on kinship inference when no fewer than 164 K SNPs were used for all four approaches. However, as the number decreased further, decreased efficiency was observed for the three IBD segment-based methods. Genotyping errors also had a significant effect on kinship inference, especially when they exceeded 1%. In contrast, MoM was much more robust to genotyping errors. Furthermore, the combination of the MoM and the IBD segment-based methods showed a higher overall accuracy, indicating its potential to improve the tolerance to genotyping errors. Conclusions: In conclusion, this study shows that different approaches have unique characteristics and should be selected for different scenarios. More importantly, the integration of the MoM and the IBD segment-based methods can improve the robustness of kinship inference and has great potential for applications in forensic practice. Full article