Degree Of Divergence Research Articles

Motor pool selectivity of neuromuscular degeneration in type I spinal muscular atrophy is conserved between human and mouse.

Spinal muscular atrophy (SMA) is caused by low levels of the survival motor neuron (SMN) protein. Even though SMN is ubiquitously expressed, the disease selectively affects motor neurons, leading to progressive muscle weakness. Even among motor neurons, certain motor units appear more clinically resistant to SMA. To quantitatively survey selective resistance, we studied extensive neuromuscular autopsies of Type I SMA patients and age-matched controls. We found highly divergent degrees of degeneration of neighboring motor units, even within individual cranial nerves or a single anatomical area such as the neck. Examination of a Type I SMA patient maintained on life support for 17years found that most muscles were atrophied, but the diaphragm was strikingly preserved. Nevertheless, some resistant human muscles with preserved morphology displayed nearly complete conversion to slow Type I myofibers. Remarkably, a similar pattern of selective resistance was observed in the SMNΔ7 mouse model. Overall, differential motor unit vulnerability in human Type I SMA suggests the existence of potent, motor unit-specific disease modifiers. Mechanisms that confer selective resistance to SMA may represent therapeutic targets independent of the SMN protein, particularly in patients with neuromuscular weakness refractory to current treatments.

Validation and optimization of smart eye camera as teleophthalmology device for the reduction of preventable and treatable blindness in Nigeria.

Limited resources and staffing hinders efforts to reduce preventable blindness, especially in low- to middle-income countries. The slit-lamp examination (SLE), which is essential for ophthalmology practices, is often unavailable in primary and secondary eye care facilities due to the high costs and lengthy training required for operation. We conducted a cross-sectional, multicentre study exploring the potential for a smart eye camera (SEC; a tele-ophthalmology handheld device developed by OUI Inc., Japan) to address the limitations of the SLE. Ocular diagnoses, visual acuity assessments and examinations of the eyes were performed independently using both a conventional SLE and a SEC. Four independent assessors (blind to the study) reviewed the images captured by the SEC and the SLE as administered by separate investigators. All analyses were performed using R version 4.2.2 for macOS at a 5% level of statistical significance. The results of the image quality analysis demonstrated that the number of higher-quality images was significantly higher (p < 0.05) for the images captured using the SEC device compared to the SLE machine. Remarkably, up to 96% accuracy of diagnosis was recorded with SEC. Evaluation of diagnostic accuracy rates derived from images obtained from both machines revealed a degree of divergence in assessments among evaluators, yielding a Fleiss's Kappa value of 0.092. The sensitivity analysis for the SEC device revealed a reasonably strong capacity to correctly identify true positive cases, with an average sensitivity score of 90%. The results of this study indicate that SEC can effectively evaluate anterior segment lesions in ophthalmology.

Rapid evolution of recombination landscapes during the divergence of cichlid ecotypes in Lake Masoko.

Variation of recombination rate along the genome is of crucial importance to rapid adaptation and organismal diversification. Many unknowns remain regarding how and why recombination landscapes evolve in nature. Here, we reconstruct recombination maps based on linkage disequilibrium and use subsampling and simulations to derive a new measure of recombination landscape evolution: the Population Recombination Divergence Index (PRDI). Using PRDI, we show that fine-scale recombination landscapes differ substantially between two cichlid fish ecotypes of Astatotilapia calliptera that diverged only ~2,500 generations ago. Perhaps surprisingly, recombination landscape differences are not driven by divergence in terms of allele frequency (FST) and nucleotide diversity (Δπ): although there is some association, we observe positive PRDI in regions where FST and Δπ are zero. We found a stronger association between evolution of recombination and 47 large haplotype blocks that are polymorphic in Lake Masoko, cover 21% of the genome, and appear to include multiple inversions. Among haplotype blocks, there is a strong and clear association between the degree of recombination divergence and differences between ecotypes in heterozygosity, consistent with recombination suppression in heterozygotes. Overall, our work provides a holistic view of changes in population recombination landscapes during early stages of speciation with gene flow.

Genomic analysis provides insights into the origin and divergence of fruit flavor and flesh color of pummelo.

Pummelo (Citrus maxima) is one of the most important citrus crops and have genetically contributed sweet orange, lemon and most citrus cultivars. It has been cultivated for c. 4000 years in China and is also distributed in many Southeast Asian countries. Nevertheless, the origin and dispersal of pummelo remain elusive. We conducted whole-genome sequencing for 290 pummelo accessions from China and Southeast Asia (SEA). Our findings indicated that pummelo was originated in Yunnan province. The divergence of the China-SEA accessions occurred c. 2000 years ago and the divergence was likely facilitated through the Maritime Silk Road. We detected the divergence of genomic regions associated with fruit flavor and color, indicating different selection by human activities in different regions. A gene encoding lycopene cyclase 2 (LCYB2) exhibited a high degree of divergence in expression and sequence between red-flesh and white-flesh pummelos. A SNP in the coding region of LCYB2 resulted in a reduction in lycopene β-cyclizing enzyme activity, leading to the accumulation of lycopene and the development of the red-flesh trait. This study reveals the origin and evolutionary history of pummelo and provides insights into the genomic basis for the divergence of fruit flavor and color.

Oceanic islands act as drivers for the genetic diversity of marine species: Cardita calyculata (Linnaeus, 1758) in the NE Atlantic as a case-study

Geographic distribution, as well as evolutionary and biogeographic processes and patterns of marine invertebrate benthic species are strongly shaped by dispersal ability during the life cycle. Remote oceanic islands lie at the brink of complex biotic and abiotic interactions which have significantly influenced the biodiversity patterns we see today. The interaction between geological environmental change and taxon-specific dispersal modes can influence species evolutionary patterns, eventually delimiting species-specific biogeographic regions. In this study, we compare the population genetic patterns of the marine bivalve Cardita calyculata in the northeast Atlantic, discussing the role of Macaronesian islands during past climatic cycles. The genetic structure and diversity patterns were outlined based on SSR-GBAS loci of 165 individuals and on the mitochondrial COI marker of 22 individuals from the Canary Islands, Madeira, Azores and the Mediterranean. The highly structured genetic pattern found among regions and within archipelagos suggests the central role of oceanic islands in promoting the divergence of the species in both the NE Atlantic and the Mediterranean. The high degree of divergence in the COI dataset (> 7%) suggests the existence of potential cryptic speciation that needs to be further explored with a more comprehensive sampling. Such patterns are only congruent with a scenario where C. calyculata populations were maintained during glacial/interglacial cycles, supporting the role of the studied archipelagos as drivers of diversity for marine biota. We stress the importance of developing studies for species with various life history and dispersal modes. In such a way, a more profound understanding of the biogeographic and evolutionary significance of oceanic islands can catalyse directed conservation efforts, especially in the context of the ongoing climate crisis.

Facial disbiosis and UV filters.

Acne is a multifactorial inflammatory disease with a robust microbial component and numerous correlations with dysbiosis states. Furthermore, various factors are recognized as triggers for skin dysbiosis, including the use of certain cosmetics. Based on these arguments, we hypothesized that using photoprotective formulations could trigger dysbiosis and the occurrence of acne manifestations. To verify this assumption, six volunteers between 19 and 23 years of age, meeting all the inclusion criteria, received two applications a day of a non-commercial sunscreen formulation developed with the sun filters ethylhexyl methoxycinnamate, ethylhexyl salicylate, methyl anthranilate, and octocrylene dispersed in a base gel, with an estimated protection factor of 28.8. The pure base gel was used as a control. The samples were applied to an area delimited by a standard template (15 cm2) in an amount corresponding to 30mg (2mg cm2) for ten days. At two points in time, pre- and post-sample applications, the facial skin surface was swabbed to collect extracted DNA and processed to verify divergent degrees of 16S RNA coding sequences. The data obtained allowed us to determine the abundance of different bacterial entities at the genus and species levels. The results showed that critical species of the acne process, such as Cutibacterium acnes and Staphylococcus epidermidis, seem to tolerate the evaluated formulation well and are not significantly affected by the formulation, suggesting no interference of its use concerning dysbiosis induction. These findings refute the idea that photoprotectors may cause skin dysbiosis in men.

Dosimetric saturation effect study and correction calculation method of ionization chamber at ultra-high dose rate (FLASH)

Backgroundand Purpose: FLASH radiotherapy has aroused strong interest among researchers, but how to monitor dose in real time and lack of generally accepted ion correction model are one of the challenges. This study is based on previous research work, the dosimetric verification of FLASH ionization chamber was performed using a 200 keV electron beam irradiation platform at an ultra-high dose rate. At the same time, the finite element program is written to analyze and calculate the ion correction factor. In addition, the results are compared with the calculation results of Boag model. MethodsIn this study, the pressure of the sensitive volume in the detector was adjusted to 16 mbar for the purpose of dosimetry of dose rates in excess of 100 Gy/s. In order to monitor the response of the detector, the beam frequency and pulse width were adjusted accordingly. However, due to the saturation effect of the ionization chamber, the processes of electron ion pair drift, attachment, recombination and diffusion in the sensitive volume were modelled on the basis of the relevant physical principles. Finally, the correction factor was calculated by the finite element analysis. ResultsThe experimental results demonstrate that the FLASH ionization chamber is capable of meeting the requirements of dose measurement and beam monitoring of the electron beam at ultra-high dose rates. Furthermore, the analytical model is able to more accurately describe the saturation effect and calculate the correction factor. ConclusionIn this paper, the method of reducing air pressure is employed for the purpose of monitoring the dose of ultra-high dose rate. Simultaneously, the finite element method was employed to analyze the physical process of electron–ion pairs within the chamber and to calculate the ion correction factor analytically. A comparison with the Boag model indicates that the proposed approach is effective. However, the results exhibit a certain degree of divergence from experimental outcomes. This discrepancy may be attributed to the influence of the input parameters, which require further calibration to enhance the accuracy and the robustness of the model.

Expression and functional divergence of a type-A response regulator paralog pair formed by dispersed duplication during Populus deltoides evolution

Gene duplication and divergence are essential to plant evolution. The Arabidopsis type-A response regulator (ARR) family, negative regulators in cytokinin signaling, exemplifies gene expansion and differential retention. Despite extensive research, the understanding of type-A RR homologs in woody plants remains limited. In this study, the evolution history of type-A RR gene families across four rosids and one monocot has been comprehensively investigated. Focusing on Populus deltoides, a unique pair of dispersed duplicates, PdRR8 and PdFERR, is identified, and their duplication is estimated to have occurred in the common ancestor of the four rosids. The duplication remnants corresponding to PdRR8 have been retained in all rosids but the counterpart of PdFERR has been lost. In poplar, PdRR8 shows the highest expression levels in leaves, while PdFERR is specifically expressed in female floral buds. Among various external stimuli, cold strongly represses PdRR8 promoter activity, whereas 6-BA markedly inhibits that of PdFERR. Overexpression of PdRR8 in the Arabidopsis arr16arr17 double-mutant fully complements the reduced hydrotropic response. In contrast, PdFERR fails to rescue the hydrotropic defects of the mutant. Results of evolutionary, expression and functional analyses indicate that PdRR8, rather than PdFERR, is the true ortholog of the ARR16-ARR17 paralogs. Though PdRR8 and PdFERR originate from a common ancestral gene and evolve under strong negative selection, these two dispersed duplicates have exhibited differential expression and some degree of functional divergence.

Stabilizing selection and adaptation shape cis and trans gene expression variation in C. elegans.

An outstanding question in the evolution of gene expression is the relative influence of neutral processes versus natural selection, including adaptive change driven by directional selection as well as stabilizing selection, which may include compensatory dynamics. These forces shape patterns of gene expression variation within and between species, including the regulatory mechanisms governing expression in cis and trans. In this study, we interrogate intraspecific gene expression variation among seven wild C. elegans strains, with varying degrees of genomic divergence from the reference strain N2, leveraging this system's unique advantages to comprehensively evaluate gene expression evolution. By capturing allele-specific and between-strain changes in expression, we characterize the regulatory architecture and inheritance mode of gene expression variation within C. elegans and assess their relationship to nucleotide diversity, genome evolutionary history, gene essentiality, and other biological factors. We conclude that stabilizing selection is a dominant influence in maintaining expression phenotypes within the species, and the discovery that genes with higher overall expression tend to exhibit fewer expression differences supports this conclusion, as do widespread instances of cis differences compensated in trans. Moreover, analyses of human expression data replicate our finding that higher expression genes have less variable expression. We also observe evidence for directional selection driving expression divergence, and that expression divergence accelerates with increasing genomic divergence. To provide community access to the data from this first analysis of allele-specific expression in C. elegans, we introduce an interactive web application, where users can submit gene-specific queries to view expression, regulatory pattern, inheritance mode, and other information: https://wildworm.biosci.gatech.edu/ase/.

Dosage sensitivity shapes balanced expression and gene longevity of homoeologs after whole-genome duplications in angiosperms.

Following whole-genome duplication (WGD), duplicate gene pairs (homoeologs) can evolve varying degrees of expression divergence. However, the determinants influencing these relative expression level differences (RFPKM) between homoeologs remain elusive. In this study, we analyzed the RFPKM between homoeologs in 3 angiosperms, Nymphaea colorata, Nelumbo nucifera, and Acorus tatarinowii, all having undergone a single WGD since the origin of angiosperms. Our results show significant positive correlations in RFPKM of homoeologs among tissues within the same species, and among orthologs across these 3 species, indicating convergent expression balance/bias between homoeologous gene copies following independent WGDs. We linked RFPKM between homoeologs to gene attributes associated with dosage-balance constraints, such as protein-protein interactions, lethal-phenotype scores in Arabidopsis (Arabidopsis thaliana) orthologs, domain numbers, and expression breadth. Notably, homoeologs with lower RFPKM often had more interactions and higher lethal-phenotype scores, indicating selective pressures favoring balanced expression. Also, homoeologs with lower RFPKM were more likely to be retained after WGDs in angiosperms. Within Nelumbo, greater RFPKM between homoeologs correlated with increased cis- and trans-regulatory differentiation between species, highlighting the ongoing escalation of gene expression divergence. We further found that expression degeneration in 1 copy of homoeologs is inclined toward nonfunctionalization. Our research highlights the importance of balanced expression, shaped by dosage-balance constraints, in the evolutionary retention of homoeologs in plants.

Determination of Genetic Diversity in Sesame (Sesamum indicum L.)

Aim: To assess the degree of genetic divergence (D2 statistics) among sesame genotypes with respect to various traits. Study Design: The present experiment evaluated in the Randomized Block Design (RBD) with three replications. Place and Duration of Study: Experiment was carried out during Rabi, 2023 at Niger Research Station, NAU, Vanarasi. Methodology: To evaluate the genetic diversity among 30 sesame genotypes, Mahalanobis D² Statistics was utilized. The genotypes were classified into six distinct clusters using Tocher’s method, revealing substantial diversity. Results: Cluster I contained the largest 17 genotypes followed by Cluster II with 9 genotypes. Clusters III, IV, V, and VI each included only a single genotype. The highest inter-cluster distance was observed between Cluster I and Cluster IV (25.29) followed by Cluster I and Cluster V (24.07). The lowest inter-cluster distance was 10.00 noted between Cluster IV and Cluster V, suggesting that the genotypes within these clusters are closely related. Cluster III was noted for its high mean values in days to 50% flowering (44.67) and days to maturity (94.33), Cluster IV excelled in capsule width (9.32), Cluster V showed superior traits in plant height (128.78), capsule length (3.23), 1000-seed weight (3.92), harvest index (40.06) and seed yield/plant (9.57), while Cluster VI had the highest values for capsules/plant (39.75) and oil content (46.43). The analysis revealed that the greatest contributions to total divergence were made by 1000 seed weight (51.95%), followed by seed yield per plant (16.32%) and oil content (15.17%). In contrast, plant height and capsule length contributed minimum, each with 0.00%. Conclusion: These results indicate that Clusters III and IV, along with V and VI, exhibit the most significant divergence. This diversity highlights the potential for using these clusters as parent genotypes in breeding programs to achieve a wide range of variability and effective selection.

Phylogeography of the Island Leaf Warbler (Aves: Phylloscopus Poliocephalus) in Northern Melanesia Reveals Rapid Secondary Sympatry or Ecological Speciation on Kolombangara Island, Solomon Islands

Island archipelagos are well known for promoting geographic and adaptive radiations in terrestrial animals. Sympatry of closely related species in island systems has been thought to occur primarily through double-invasions from the same continental source population. Alternatively, this process can occur on a smaller geographic scale where divergent populations isolated from one another within an archipelago may come back into contact via intra-archipelago dispersal. Depending on degree of divergence and the development of reproductive isolating barriers, the result of this secondary contact could be gene flow between isolated populations, exclusion or extirpation of one population via competition, or the establishment of reproductively isolated sympatric species. Here, we provide strong evidence for intra-archipelago secondary sympatry within a radiation of Phylloscopus warblers in the Solomon and Bismarck archipelagos by presenting the first well-sampled phylogeny of Phylloscopus warbler populations in the region. By using genome-wide genetic data and complete mitochondrial genomes we also present evidence for a complex history of mitochondrial-nuclear discordance within this radiation, particularly in the only pair of sympatric populations east of Wallace’s Line, located on Kolombangara Island in the Solomon Islands. Our genomic data suggest that the divergent single-island endemic species on Kolombangara (Phylloscopus amoenus) is not a relic resulting from a double invasion from outside the Bismarck and Solomon archipelagos as previously thought. Rather, the sympatry on Kolombangara Island between the widespread P. poliocephalus and the endemic P. amoenus appears to result from recent intra-archipelago diversification, either via sympatric speciation or the rapid establishment of secondary sympatry. These novel genomic data provide insights into the evolutionary history of Phylloscopus warblers in Melanesia and improve our general understanding of how biodiversity accumulates in island systems.

The Role of Geography, Diet, and Host Phylogeny on the Gut Microbiome in the Hawaiian Honeycreeper Radiation.

The animal gut microbiome can have a strong influence on the health, fitness, and behavior of its hosts. The composition of the gut microbial community can be influenced by factors such as diet, environment, and evolutionary history (phylosymbiosis). However, the relative influence of these factors is unknown in most bird species. Furthermore, phylosymbiosis studies have largely focused on clades that diverged tens of millions of years ago, and little is known about the degree of gut microbiome divergence in more recent species radiations. This study explores the drivers of microbiome variation across the unique and recent Hawaiian honeycreeper radiation (Fringillidae: Drepanidinae). Fecal samples were collected from 14 extant species spanning the main islands of the Hawaiian archipelago and were sequenced using three metabarcoding markers to characterize the gut microbiome, invertebrate diet, and plant diet of Hawaiian honeycreepers. We then used these metabarcoding data and the honeycreeper host phylogeny to evaluate their relative roles in shaping the gut microbiome. Microbiome variation across birds was highly individualized; however, source island had a small but significant effect on microbiome structure. The microbiomes did not recapitulate the host phylogenetic tree, indicating that evolutionary history does not strongly influence microbiome structure in the honeycreeper clade. These results expand our understanding of the roles of diet, geography, and phylogeny on avian microbiome structure, while also providing important ecological information about the diet and gut microbiota of wild Hawaiian honeycreepers.

Assessment of Genetic Diversity in Garden Pea (Pisum sativum L.) and Identification of Promising Lines for Hybridization

The current study is being conducted to understand the degree of genetic divergence in order to discover more diversified parents for pea genetic advancement. The creation of high yielding varieties with stable productivity, resistance to diseases and unfavorable environmental conditions, various maturing types, a high rate of organic matter accumulation during the early stages of growth, a sufficiently high intensity of photosynthesis, increases in protein content, essential amino acids, and favorable ratios among them are the most important tasks for pea breeding. The present investigation was carried out at vegetable research farm and laboratory works in the department of Horticulture (Vegetable and Floriculture), BAU, Sabour, Bhagalpur, Bihar during the Rabi season 2020-21. The genotype Kashi Mukti, Kashi Uday, Kashi Nandini and VM-11 of cluster II exhibited superiority for earliness in first flower, days to 50% flowering and days to first picking and significantly better performance as measured by the lowest cluster mean and a substantial improvement in performance while the genotype Haze-02 of cluster IV exhibited superiority for inter-nodal length , plant height , seeds per pod and total sugars (%) based on maximum cluster mean with significantly better performance. It is anticipated that progenies from such diversified crossings will exhibit a broad range of genetic diversity and more potential for transgressive segregant isolation in the later generations. Therefore, a multiple crossing program using these genotypes may be used to retrieve transgressive segregants.

Cross-Functional Team Management in Product Development

It is very necessary for successful product development to have good cross-functional team management in today's business climate, which is more dynamic and competitive than ever before. It is crucial to have cross-functional teams in order to stimulate innovation, improve product quality, and accelerate time-to-market. These teams comprise of people from a variety of departments, including engineering, marketing, design, and operations, among others. In the context of product development, this abstract investigates the relevance of managing cross-functional teams, as well as the issues that come with it and the best practices that may be implemented. Having a wide range of viewpoints, greater problem-solving skills, and enhanced cooperation across a variety of functional areas are just some of the advantages that cross-functional teams provide. A holistic approach to product development that is capable of addressing difficult and varied issues is made possible by these teams, which are meant to incorporate knowledge from a variety of disciplines from different fields. Cross-functional teams are able to produce more creative solutions, better fulfil the demands of customers, and adapt to changing market circumstances because they bring together people who have various abilities and points of view when they are brought together. Nevertheless, managing teams that work across functional boundaries brings a number of issues. One of the most significant challenges is bringing together individuals of the team who have various work styles, goals, and objectives. It is essential to have efficient communication and coordination in order to guarantee that all members of the team are at the same level of understanding and are working towards the same objective. In addition, divergent degrees of knowledge and competing interests may result in misunderstandings and conflicts, which can impede development and have an impact on the morale of the team.

A Study on the Impact of Shorting Mechanism on the Degree of Divergence of Investors' Opinions - Based on the Perspective of Listed Companies

This paper thoroughly investigates the impact of shorting mechanism on the degree of divergence of opinions among investors, and takes listed companies as the subject of the study. Through the method of empirical analysis, this paper reveals the intensifying effect of shorting mechanism on the disagreement among investors, especially in the complex and changing market environment, this effect is more significant. This finding not only provides a decision-making reference for investors, but also provides a theoretical basis for market regulators to formulate policies, which is of great significance for promoting the stability and healthy development of the market.

New insights into the chemotaxonomic implications of diterpenoid alkaloid composition in Aconitum sessiliflorum

Through phytochemical research, the composition of diterpenoid alkaloids in Aconitum sessiliflorum was analyzed, and sixteen compounds were identified. Among them, there are seven napelline type C20-diterpenoid alkaloids (1–4, 7–8, 15), three denudatine type C20-diterpenoid alkaloids (5–6, 16), and six aconitine type C19-diterpenoid alkaloids (9–14). On the basis of NMR spectroscopy, the structural analysis of the separated compounds was achieved by comparing with previous data. All sixteen compounds were isolated for the first time from the Aconitum sessiliflorum, of which five compounds (1, 6, 9, 13, 15) were isolated for the first time from series Brachypoda, where Aconitum sessiliflorum is classified. These diterpenoid alkaloids not only enrich the chemical diversity of Aconitum sessiliflorum, but also facilitate the analysis of their chemotaxonomic implications. Importantly, the diverse types and structural features of these diterpenoid alkaloids provide new insights into both the potential phylogenetic affiliations within the series Brachypoda and the varying degrees of evolutionary divergence among these related taxa.

Genomic sequencing reveals convergent adaptation during experimental evolution in two budding yeast species

Convergent evolution is central in the origins of multicellularity. Identifying the basis for convergent multicellular evolution is challenging because of the diverse evolutionary origins and environments involved. Haploid Kluyveromyces lactis populations evolve multicellularity during selection for increased settling in liquid media. Strong genomic and phenotypic convergence is observed between K. lactis and previously selected S. cerevisiae populations under similar selection, despite their >100-million-year divergence. We find K. lactis multicellularity is conferred by mutations in genes ACE2 or AIM44, with ACE2 being predominant. They are a subset of the six genes involved in the S. cerevisiae multicellularity. Both ACE2 and AIM44 regulate cell division, indicating that the genetic convergence is likely due to conserved cellular replication mechanisms. Complex population dynamics involving multiple ACE2/AIM44 genotypes are found in most K. lactis lineages. The results show common ancestry and natural selection shape convergence while chance and contingency determine the degree of divergence.

Environmental filtering mediates desert ant community assembly at two spatial scales.

Understanding the mechanisms that maintain species coexistence and determine patterns of community assembly are fundamental goals of ecology. Quantifying the relationship between species traits and stress gradients is a necessary step to disentangle assembly processes and to be able to predict the outcome of environmental change. We examined the hypothesis that desert ant communities are assembled by niche-based processes i.e., environmental filtering and limiting similarity. First, we used population-level morphological trait measurements to study the functional structure of ant communities along a dryland environmental stress gradient. Second, we developed species distribution models for each species to quantify large-scale climatic niche overlap between species. Body, femur, antennal scape, and head lengths were correlated with environmental gradients. Regionally, the ant community was significantly and functionally overdispersed in terms of morphological traits which suggests the importance of competition to ant community structure. Ant community assembly was also strongly influenced by environmental factors as the degree of functional trait divergence, but not phylogenetic divergence, decreased with increasing environmental stress. Thus, environmental stress likely mediates limiting similarity in these desert ecosystems. Species with lower climatic niche overlap were more dissimilar in morphological traits. This suggests that environmental filtering on ant functional traits is important at the scale of species distributions in addition to regional scales. This study shows that environmental and biotic filtering (i.e., niche-based assembly mechanisms) are jointly and non-independently structuring the ant community.

Cosine similarity and distance measures for [formula omitted] quasirung orthopair fuzzy sets: Applications in investment decision-making

Similarity measures and distance measures are used in a variety of domains, such as data clustering, image processing, retrieval of information, and recognizing patterns, in order to measure the degree of similarity or divergence between elements or datasets. p,q− quasirung orthopair fuzzy (p,q− QOF) sets are a novel improvement in fuzzy set theory that aims to properly manage data uncertainties. Unfortunately, there is a lack of research on similarity and distance measure between p,q− QOF sets. In this paper, we investigate different cosine similarity and distance measures between to p,q− quasirung orthopair fuzzy sets (p,q− ROFSs). Firstly, the cosine similarity measure and the Euclidean distance measure for p,q− QOFSs are defined, followed by an exploration of their respective properties. Given that the cosine measure does not satisfy the similarity measure axiom, a method is presented for constructing alternative similarity measures for p,q− QOFSs. The structure is based on the suggested cosine similarity and Euclidean distance measures, which ensure adherence to the similarity measure axiom. Furthermore, we develop a cosine distance measure for p,q− QOFSs that connects similarity and distance measurements. We then apply this technique to decision-making, taking into account both geometric and algebraic perspectives. Finally, we present a practical example that demonstrates the proposed justification and efficacy of the proposed method, and we conclude with a comparison to existing approaches.