Distant Relatives Research Articles

Comparative Study of Statistical Approaches and SNP Panels to Infer Distant Relationships in Forensic Genetics

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.

From macro to micro: De novo genomes of Aedes mosquitoes enable comparative genomics among close and distant relatives.

The yellow fever mosquito (Aedes aegypti) is an organism of high medical importance because it is the primary vector for diseases such as yellow fever, Zika, dengue, and chikungunya. Its medical importance has made it a subject of numerous efforts to understand their biology. One such effort, was the development of a high-quality reference genome (AaegL5). However, this reference genome was sourced from a highly inbred laboratory strain with unknown geographic origin. Thus, the reference is not representative of a wild mosquito, let alone one from its native range in sub-Saharan Africa. To better understand the genetic architecture of Ae. aegypti and their sister species, we developed two de novo chromosome-scale genomes with sequences sourced from single individuals: one of Ae. aegypti formosus (Aaf) from Burkina Faso and one of Ae. mascarensis (Am) from Mauritius. Both genomes exhibit high contiguity and gene completeness, comparable to AaegL5. While Aaf exhibits high degree of synteny to AaegL5, it also exhibits several large inversions. We further conducted comparative genomic analyses using our genomes and other publicly available culicid reference genomes to find extensive chromosomal rearrangements between major lineages. Overrepresentation analysis of expanded genes in Aaf, AaegL5, and Am revealed that while the overarching category of genes that have expanded are similar, the specific genes that have expanded differ. Our findings elucidate novel insights into chromosome evolution at both microevolutionary and macroevolutionary scales. The genomic resources we present are additions to the arsenal of biologists in understanding mosquito biology and genome evolution.

Cranial variation across spiny pocket mice (Heteromys, Liomys) in new phylogenetic and taxonomic perspectives.

Spiny pocket mice are usually divided into two genera, Heteromys and Liomys, and more recently the latter have been subsumed into the former, leaving subfamily Heteromyinae with one genus. However, this arrangement conveys false equivalency among heteromyines, and does not represent the great morphological, molecular, and ecological diversity in this subfamily. To address this, geometric morphometric methods were used to explore interspecific cranial variation in this subfamily, which were then evaluated in the context of recent phylogenetic and taxonomic findings. The dataset consisted of 65 landmarks on the crania of 328 adult voucher specimens (15 species, 114 localities). Allometry and habitat adaptation are potential explanations for some of the variation patterns. Morphometric clustering among some distant relatives suggests convergent adaptation to similar habitats. These results support recent taxonomic proposals for the subfamily based on molecular phylogenies, in which the three to four main lineages are assigned generic status. We summarize the evidence and describe their scaled cranial shape variation. These lineages consist of Heteromys as traditionally defined (i.e., not including Liomys) while the traditionally defined Liomys would be divided into the genera Schaeferia (S. adspersus + S. salvini), Liomys sensu stricto (L. irroratus), and potentially a fourth (new) undescribed/undiagnosed genus for L. pictus + L. spectabilis. The implications of the present study are that scaled cranial shape variation patterns align better with this modified taxonomy than earlier ones. Our results confirm the usefulness of geometric morphometrics in providing taxonomic insights in taxa that appear cryptic using traditional distance-based measurements.

Familial risk and phenotypic variation of sarcoidosis in the Icelandic population

BackgroundThe familial risk of sarcoidosis is heterogeneous, previous studies demonstrate conflicting results. The present study maps the pattern of familial distribution of all known, biopsy-verified sarcoidosis in the Icelandic population (1981–2021).MethodsAll cases were re-confirmed and categorized into one of the five phenotypic groups described by Schuppet al., and in different groups based on disease severity. Distant relationships were accurately traced for relatives of sarcoidosis patients and their mates using the nationwide Icelandic Genealogy Database. This allows creation of matched control groups for the calculation of Relative Risk (RR) and Kinship Coefficient (KC).Results462 patients with biopsy-proven diagnoses of sarcoidosis were included. We identified 282 extended families and seven sibling pairs with sarcoidosis. Twenty families had five or more affected individuals. RR was 3.7 (95%CI: 1.54–8.55) in 1st-degree relatives (p=0.003), 1.65 (1.05–1.92) in 4th-degree relatives, (p=0.014) and 1.57 (1.08–1.70) in 5th-degree relatives (p=0.003). RRs among 1st-5th degree relatives of the patients’ mates were not significant. KC for sarcoidosis was only significant for the first two meiosis (KC=1.06, p<0.008 and KC=1.01, p=0.011, respectively). The most common sarcoidosis phenotypes were pulmonary-lymphonodal (47.6%), ocular-cardiac-cutaneous and central nervous system (OCCC) (21.6%), and musculoskeletal cutaneous (MSC) (20.9%). There seems to be no clustering of a single phenotype or resistant sarcoidosis in the extended sarcoidosis families.ConclusionOur study does not consider heritability a strong risk factor for sarcoidosis. The risk is highest for first-degree relatives of patients with sarcoidosis. Single phenotypes and resistant sarcoidosis do not cluster in distinct families.

Psychological impacts of maternal migration on left-behind children: a cross-cultural review

In the pursuit of a brighter future for their children, many female migrant workers leave their home countries to seek employment abroad, often as caregivers for families in wealthier nations. This decision necessitates prolonged separation from their own children, depriving them of the opportunity to witness and participate in crucial stages of their children’s development. The absence of these mothers, combined with inconsistent caregiving in their stead, significantly increases the vulnerability of left-behind children to mental health challenges, such as depression, anxiety, and difficulties in forming emotional bonds with others. Moreover, even after the migrant mother’s eventual return, the disruptions in attachment often result in long-term consequences, including strained and distant relationships with their children. This article explores the complex impact of maternal migration on the mental well-being of left-behind children across various cultural contexts. It highlights key findings, such as the role of communal caregiving practices in mitigating adverse effects in some societies, while noting that these practices are not a complete solution. The study underscores the need for culturally sensitive mental health interventions and policy measures to support the well-being of children affected by maternal migration globally.

Ancient DNA reveals reproductive barrier despite shared Avar-period culture.

After a long-distance migration, Avars with Eastern Asian ancestry arrived in Eastern Central Europe in 567 to 568 CE and encountered groups with very different European ancestry1,2. We used ancient genome-wide data of 722 individuals and fine-grained interdisciplinary analysis of large seventh- to eighth-century CE neighbouring cemeteries south of Vienna (Austria) to address the centuries-long impact of this encounter1,2. We found that even 200 years after immigration, the ancestry at one site (Leobersdorf) remained dominantly East Asian-like, whereas the other site (Mödling) shows local, European-like ancestry. These two nearby sites show little biological relatedness, despite sharing a distinctive late-Avar culture3,4. We reconstructed six-generation pedigrees at both sites including up to 450 closely related individuals, allowing per-generation demographic profiling of the communities. Despite different ancestry, these pedigrees together with large networks of distant relatedness show absence of consanguinity, patrilineal pattern with female exogamy, multiple reproductive partnerships (for example, levirate) and direct correlation of biological connectivity with archaeological markers of social status. The generation-long genetic barrier was maintained by systematically choosing partners with similar ancestry from other sites in the Avar realm. Leobersdorf had more biological connections with the Avar heartlands than with Mödling, which is instead linked to another site from the Vienna Basin with European-like ancestry. Mobility between sites was mostly due to female exogamy pointing to different marriage networks as the main driver of the maintenance of the genetic barrier.

Analysis of genetic polymorphisms in the intron 9–10/exon 10 region of the BRCA1 gene in a population sample of dogs with mammary cancer from Uruguay

This study involved clinical and genetic analysis of 15 female dogs with mammary tumors. Fourteen healthy female dogs were used as controls, and blood samples were collected from them for genetic analysis. Polymorphisms located in a splicing region of the largest exon of the BRCA1 gene were studied, both at the population and evolutionary level, in a population of female dogs with different histopathological types of mammary tumors. In the intron 9–10/exon 10 initiation region, two SNP–type polymorphisms are described: SNP1 and SNP2. The SNP1 produces a non–synonymous change with unknown effect on the coding protein. Selected animals underwent surgery, and samples were sent for histopathological analysis. Peripheral blood was also collected for DNA extraction. A region corresponding to intron 9–10/exon 10 of the BRCA1 gene (ENSCAFE00845051080) was amplified by endpoint PCR, with PCR results subsequently confirmed through agarose gel electrophoresis at 1%. PCR products were sequenced to study the polymorphisms identified within this region. No statistically significant differences were observed between the genotype frequencies in both populations (Chi2 0.33, P>0.5), indicating that SNP1 is not linked to mammary tumors in the studied animals. Regarding SNP2, the mutation was not identified in the studied groups (females with mammary tumors and controls), being monomorphic. Although this SNP2 is described in the Ensembl database, there are no genotyping data in reference populations. The phylogenetic analysis of the amplified intron 9–10/exon 10 revealed an evolutionary homology with Canis lupus familiaris, and a more distant relationship with other genera such as Vulpes and Nyctereutes within the Canidae family. It can be concluded that mutations in this splicing region of the largest exon of BRCA1 are not associated with the development of mammary tumors in canines within this group of animals.

Methyloraptor flagellatus gen. nov., sp. nov., novel Ancalomicrobiaceae-affiliated facultatively methylotrophic bacteria that feed on methanotrophs of the genus Methylococcus.

A morphologically conspicuous microbial association was detected in a bioreactor running in a continuous mode with methanotrophic bacteria of the genus Methylococcus and natural gas as a growth substrate. The association consisted of spherical Methylococcus cells colonized by elongated rods, which produced rosette-like aggregates and inhibited the cultivation process. An isolate of these bacteria, strain S20T, was obtained and identified as belonging to the alphaproteobacterial family Ancalomicrobiaceae but displaying only a distant relationship (93.9-95.1% 16S rRNA gene sequence similarity) to characterized members of this family. Strain S20T was represented by aerobic, motile, facultatively methylotrophic bacteria, which grew between 10 and 45°C (optimum 30-35°C) in a pH range of 4.5-8.5 (optimum pH6.0). These bacteria were capable of attaching to Methylococcus cells and breaking the integrity of methanotroph cell walls, presumably to feed on methanol. The same interaction was observed with Methylomonas species. The finished genome sequence of strain S20T consisted of a 5.0Mb chromosome and one plasmid, 0.26Mb in size; the DNA G+C content was 68.4%. The genome encoded 3 rRNA operons and∼4400 proteins including MxaFI- and XoxF-like methanol dehydrogenases, all enzymes of the serine pathway as well as a complete chemotaxis pathway, a unipolar polysaccharide adhesin, and a wide range of peptidases. The genome sequence displayed 67.20-69.56% average amino acid identity to those of earlier described Ancalomicrobiaceae species. We propose to classify these bacteria as representing a novel genus and species, Methyloraptor flagellatus gen. nov., sp. nov., with the type strain S20T (=KCTC 8649T=VKM B-3853T).

Close and more distant relatives are associated with child mortality risk in historical Finland

Close and more distant relatives are associated with child mortality risk in historical Finland

Cranial osteology and neuroanatomy of the late Permian reptile Milleropsis pricei and implications for early reptile evolution.

Millerettidae are a group of superficially lizard-like Permian stem reptiles originally hypothesized as relevant to the ancestry of the reptile crown group, and particularly to lepidosaurs and archosaurs. Since the advent of cladistics, millerettids have typically been considered to be more distant relatives of crown reptiles as the earliest-diverging parareptiles and therefore outside of 'Eureptilia'. Despite this cladistic consensus, some conspicuous features of millerettid anatomy invite reconsideration of their relationships. We provide a detailed description of the late Permian millerettid Milleropsis pricei using synchrotron X-ray phase-contrast micro-computed tomography focusing on the cranial anatomy of three individuals known from a burrow aggregation. Our data reveal a suite of neuroanatomical features Milleropsis shares with neodiapsids that are absent both in other 'parareptiles' and in early diverging groups of 'eureptiles'. Traits shared between Milleropsis and neodiapsids include: the presence of a tympanic emargination on the quadrate, quadratojugal and squamosal, the loss of epipterygoid contribution to the basicranial articulation suggesting a more kinetic palatoquadrate, the absence of a sphenethmoid and the pathway of the abducens nerve through the braincase. Our findings suggest that the early reptile neurocranium, a region poorly sampled in phylogenetic analyses due to relative visual inaccessibility and poor preservation, has the potential to inform the phylogenetic relationships of early reptiles.

Point Class‐Adaptive Transformer (PCaT): A Novel Approach for Efficient Point Cloud Classification and Segmentation

ABSTRACTRecent 3D point cloud classification has predominantly focused on local spatial attention, neglecting distant contextual relationships due to the inherent sparsity of LiDAR‐generated data over longer distances. Existing 3D object detection methods prioritize local features, hindering the extraction of semantic information. Despite attempts with transformers, methods often reduce computations through local spatial attention, neglecting content class and scarcely establishing connections among distant global points. Our proposed point class‐adaptive transformer (PCaT) addresses these limitations by establishing long‐range feature dependencies while significantly reducing computations. PCaT includes three key modules: the class‐adaptive transformer (CaT), which utilizes local self‐attention and global self‐attention based on class similarity to facilitate an efficient trade‐off between capturing extended‐global dependencies and managing computational challenges; nested binary clustering (NbC), which dynamically partitions queries into multiple clusters based on content features in each Transformer block; and the AfA, which aggregates high‐dimensional features using max‐pooling alongside a residual MLP component and low‐dimensional features using average pooling and a CaT block. Additionally, PCaT incorporates point cloud segmentation via local–global feature aggregation (PcSeg) to facilitate effective point cloud segmentation. Extensive experimentation on the ModelNet40, ScanObjectNN, and S3DIS datasets demonstrates the superior performance and reasonable stability of PCaT compared with existing methods. PCaT achieves 94.2% overall accuracy (OA) and mIoU scores of 89.2% and 86.2% for the ScanObjectNN and S3DIS datasets, respectively.

Phenotypic and genetic variation of Aedes albopictus (Diptera: Culicidae) in Thailand and its global relationships: Insights from wing morphometric and mitochondrial COI gene analyses.

Aedes albopictus (Diptera: Culicidae), commonly known as the Asian tiger mosquito, is an important vector transmitting dangerous arboviruses to humans. This study investigated the phenotypic and genetic variation of this species in Thailand through wing geometric morphometric (GM) and mitochondrial cytochrome c oxidase subunit I (COI) gene sequence analyses. A total of 236 Ae. albopictus specimens from 12 populations in Thailand and 89 specimens from invasive populations in Florida, Hawaii and Brazil underwent wing GM analysis. The centroid size (CS) of Ae. albopictus populations in Thailand ranged from 2.00 mm in Bangkok to 2.36 mm in Chanthaburi, while in invasive populations, CS varied from 2.25 mm in Brazil to 2.47 mm in Florida. Pairwise comparisons of wing shape revealed significant differences for most population pairs, with distances ranging from 1.63 to 10.02. The clustering tree indicated distant relationships in wing shape between native and invasive populations. Additionally, partial COI gene sequences were amplified from 108 specimens, revealing a mean haplotype diversity of 0.842 ± 0.025 and a mean nucleotide diversity of 0.002 ± 0.001. The results from neutral Tajima's D and Fu's Fs tests indicated negative and statistically significant values (-2.159 and -33.846, respectively), suggesting population expansion. Further examination of haplotype relationships between Thailand and other countries identified two distinct groups: a Southeast Asia group, with Thai haplotypes clustered exclusively within it, and a non-Southeast Asia group. These findings highlight the phenotypic and genetic variation of Ae. albopictus in Thailand, providing essential insights for disease control strategies and tracing the mosquito's origins across regions.

Comparative analysis of the complete chloroplast genome of Pueraria provides insights for species identification, phylogenetic relationships, and taxonomy

Background Pueraria is an edible and medicinal raw material, which is of great value to the pharmaceutical and food industries. Nonetheless, due to morphological diversity and complex domestication history, the classification of Pueraria plants is ambiguous. As the varieties on the market are mixed, the species are difficult to distinguish, and their morphological characteristics are similar to the physical and chemical properties. It is difficult to accurately identify them by traditional identification methods. Chloroplast (cp) genomes are widely used in species identification and phylogenetic studies to achieve accurate identification of medicinal plants, and can also provide more reference information for phylogenetic studies. Based on interspecific and intraspecific sampling, the cp genomes of eight species or varieties of Pueraria plants were examined in this study.ResultsThe study unveiled that the cp genome size varied from 151,555 to 153,668 base pairs (bp), with the total GC content ranging from 35.4 to 37.0%. Moreover, it was discerned that the cp genome contained between 128 and 135 genes. Comparative analysis indicated that the highest number of Simple Sequence Repeats (SSRs) was identified in P. montana and P. alopecuroides, with a preponderance of these SSRs being rich in Adenine (A) and Thymine (T) nucleotides. Complete comparison and sliding window analysis of the cp genome established that the non-coding region exhibited greater sequence differences than the coding region, and that the large single copy (LSC) region demonstrated higher nucleotide polymorphism levels. Fourteen highly variable loci such as rpoB,ycf1,rbcL,trnF-GAA-trnL,psbC-psbD, and ycf4-cemA were detected as potential molecular markers for Pueraria species identification. Moreover, the phylogenetic tree demonstrated that other Pueraria species had the most distant relationship with Haymondia wallichii and Toxicopueraria peduncularis, thereby offering fresh perspectives into the species classification of Pueraria. The molecular clock analysis results indicate that the divergence time of Pueraria may occur at ∼6.46 Ma. It is speculated that the cold climate may be the cause of Pueraria species diversity and promote the radiation of the genus.ConclusionThis research provides theoretical backing and serves as a reference point for the identification and taxonomical classification of Pueraria species. The findings will prove beneficial in future studies on the preservation of medicinal resources, phylogenetic relationships, and genetic engineering of Pueraria plants.

A sparse and wide neural network model for DNA sequences.

Accurate modeling of DNA sequences requires capturing distant semantic relationships between the nucleotide acid bases. Most existing deep neural network models face two challenges: (1) they are limited to short DNA fragments and cannot capture long-range interactions, and (2) they require many supervised labels, which is often expensive in practice. We propose a new neural network model called SwanDNA to address the above challenges. By using a sparse and wide network architecture, our model enables inferences over very long DNA sequences. By incorporating the neural network into a self-supervised learning framework, our method can give accurate predictions while using less supervised labels. We evaluate SwanDNA in three DNA sequence inference tasks, human variant effect, open chromatin regions detection in plant genes, and GenomicBenchmarks. SwanDNA outperforms all competitors in the first two tasks and achieves state-of-art in seven of eight datasets in GenomicBenchmarks. Our code is available at https://github.com/wiedersehne/SwanDNA.

Inferring Distant Relationships From Dense SNP Data Utilizing Two Genealogy Algorithms.

A highly esteemed method known as investigative genetic genealogy (IGG) has been developed to identify DNA samples from forensic crime scenes and human remains of disaster victims. With the advent of next-generation sequencing, it is now feasible to access information on millions of SNPs typed in a single sequencing run that fulfill the requirements for kinship inference. However, challenges such as the poor quality of forensic samples, the high cost associated with sequencing technology, and privacy concerns regarding large-scale genetic databases remain unresolved in this field. In the present study, we validated the identification of relationships up to the seventh degree using two genealogy algorithms (IBIS and KING) under various parameter settings. This was accomplished through whole genome sequencing data derived from two southern Chinese Han pedigrees during an initial phase, while also exploring workflows adapted for low-quality samples. To achieve this objective, low-coverage whole genome sequencing data were downsampled from high-coverage original datasets; additionally, mimic SNP array data-containing less information but offering greater accessibility-were prepared as reference samples. Through a series of experimental analyses, we not only validate the applicability of selected processing procedures and inference tools for low-coverage samples but also proposed that a meticulously crafted site filtering strategy can significantly improve the accuracy of kinship identification. This acknowledges the necessity for further systematic evidence in future research endeavors.

Earliest modern human genomes constrain timing of Neanderthal admixture.

Modern humans arrived in Europe more than 45,000 years ago, overlapping at least 5,000 years with Neanderthals1-4. Limited genomic data from these early modern humans have shown that at least two genetically distinct groups inhabited Europe, represented by Zlatý kůň, Czechia3 and Bacho Kiro, Bulgaria2. Here we deepen our understanding of early modern humans by analyzing one high-coverage genome and five low-coverage genomes from ~45,000 year-old remains from Ilsenhöhle in Ranis, Germany4, and a further high-coverage genome from Zlatý kůň. We show that distant familial relationships link the Ranis and Zlatý kůň individuals and that they were part of the same small, isolated population that represents the deepest known split from the Out-of-Africa lineage. Ranis genomes harbor Neanderthal segments that originate from a single admixture event shared with all non-Africans that we date to ~45,000-49,000 years ago. This implies that ancestors of all non-Africans sequenced to-date resided in a common population at this time, and further suggests that modern human remains older than 50,000 years from outside Africa represent different non-African populations.

Molecular characterization and antimicrobial susceptibility for 62 isolates of Bordetella pertussis from children.

Pertussis is a highly contagious respiratory disease caused by Bordetella pertussis (BP). Despite global control of pertussis cases through the Expanded Programme on Immunization (EPI), there has been a significant increase in the incidence of pertussis in recent years, characterized by a "resurgence" in developed countries with high immunization rates as well as a comparable reemergence in certain areas of China. We aim to explore the genotypes and antimicrobial susceptibility of circulating BP from children in Hebei. Children diagnosed with BP infection from 2019 to 2020 in Hebei, China were enrolled. We performed antimicrobial susceptibility testing (AST), whole-genome sequencing (WGS) analysis, single nucleotide polymorphism (SNP) detection, mltilocus sequence typing (MLST), multilocus antigen sequence typing (MAST), multilevel genome typing (MGT). A total of 313 international BP genomes were selected for comparison to examine the genomic diversity and evolutionary traits of Chinese strains within a global framework. Sixty-two individuals were identified with BP infection via culture, yielding a positive rate of 15.62% (62/397) for BP. Two phylogenetic groups were identified, each carrying a dominating genotype. The two vaccine strains, CS and Tohama I, exhibited a distant relationship to these two groups. This study identified 56 erythromycin-resistant isolates, 55 azithromycin-resistant isolates, 58 sulfamethoxazole-sensitive isolates, and 53 cefotaxime-sensitive isolates. All BP isolates were sensitive to levofloxacin, amoxicillin, ceftriaxone, and meropenem. Meanwhile, all erythromycin-resistant strains, which belonged to lineage I and MGT2 sequence type 7 (ST7), shared the ptxP1 gene and contained the 23S rRNA A2047G mutation. The major MAST was prn1/ptxP1/ptxA1/fim3-1/fim2-1 (75.81%). All 62 BP strains were divided into 1, 2, 3, 14, and 52 types at the MGT1, MGT2, MGT3, MGT4, and MGT5 levels, respectively. This work showed that there may be a link between antimicrobial resistance and alterations in specific molecular types, and the isolates showed a clear change when compared with the vaccine strain and that selection pressure from both antibiotics and immunization may be responsible for driving Chinese BP evolution, and necessitate a reevaluation of the immunization strategy and the development of novel vaccines in China to halt the resurgence and medication resistance of pertussis.

Complex kinship testing using the MGIEasy Pa-SNPs genotyping kit.

Disaster victim identification and criminal investigations have intensified the demand of complex kinship testing. Compared to close relatives, distant relatives share fewer identical-by-descent genetic segments; therefore, more genetic markers are required to improve the system effectiveness. Driven by the progress of next-generation sequencing, several commercial or in-house panels, including a large number of genetic markers, have been developed and applied in forensic caseworks. However, few efficient panels are available for first cousins (FC) kinship testing. Here, we adopted the MGIEasy Pa-SNPs genotyping kit, a two-step multiplex PCR strategy to detect 2,009 SNPs, and evaluated their system effectiveness in complex kinship analysis. Samples from 10,000 pairs of relatives and unrelated individuals were simulated to evaluate the system power. Simultaneously, real samples were used to further confirm this, including 72 pairs of full siblings (FS), 52 pairs of uncle/aunt/-niece/nephew (UN), 92 pairs of FC, 79 pairs of first cousin once removed (1C1R), and 780 pairs of unrelated individuals. The results showed that this kit was sufficiently powerful in FS, UN, and FC versus unrelated kinship testing and could also discriminate part of 1C1R relatives against unrelated individuals. This method was also powerful in the kinship determination of FS versus UN, FS versus FC, FS versus 1C1R, and UN versus 1C1R kinship testing but had limited power to determine UN versus FC and FC versus 1C1R relationships. This study provides an effective strategy and guidance for complex kinship analysis in forensic practice.

Morphology, biology and molecular characterisation of the endemic Canary Islands blowfly Calliphora splendens Macquart, 1838 (Diptera: Calliphoridae).

The Canary Islands are an excellent natural laboratory for understanding ecological and evolutionary processes such as biogeographical colonisation. The morphology of the larva, puparium and adult of the endemic Canarian copper fly, Calliphora splendens, is described, illustrated and contrasted with those of the other species of Calliphora that occur in Africa, the Iberian Peninsula and Macaronesia. Partial cytochrome oxidase I sequences show a connection between C. splendens, Calliphora vicina, Calliphora loewi and Calliphora croceipalpis, but more distant relationship with Calliphora vomitoria. Calliphora splendens produced unisexual offspring in captivity. This work confirms the relict character of the Canarian copper fly associated with the endemic laurel forest habitat.

Development of a multidimensional centrality metric for ranking nodes in complex networks

Ranking nodes in complex networks is a fundamental task in network science, with significant applications in fields like social networks, bioinformatics, and information dissemination. Many existing methods struggle to efficiently capture the multifaceted relationships between nodes, particularly in large-scale networks. However, they often ignore the semantic relationships between nodes when gathering information. To address these challenges, this paper introduces SAASP, a Semi-local centrality measure that combines an Augmented graph with Average Shortest Path theory to efficiently identify influential nodes in complex networks. In SAASP, the augmented graph can represent global relationships between nodes as semantic similarities, allowing distant relationships to be considered in node ranking. Additionally, it incorporates an enhanced version of average shortest path theory to handle the computational complexity associated with large networks. By extracting local subgraphs for each node and considering the extended neighborhood concept, SAASP ensures scalability while preserving key structural properties. The integration of the augmented graph and average shortest path theory enables SAASP to accurately and efficiently identify influential nodes in large-scale complex networks with lower complexity. The effectiveness of the proposed metric is demonstrated through extensive experiments using the SIR (Susceptible-Infected-Removed) model and Kendall's coefficient, where it outperforms existing centrality measures on real-world datasets.