Population Differentiation Research Articles

CHRFAM7A diversifies human immune adaption through Ca2+ signalling and actin cytoskeleton reorganization

Human restricted genes contribute to human specific traits in the immune system. CHRFAM7A, a uniquely human fusion gene, is a negative regulator of the α7 nicotinic acetylcholine receptor (α7 nAChR), the highest Ca2+ conductor of the ACh receptors implicated in innate immunity. Understanding the mechanism of how CHRFAM7A affects the immune system remains unexplored. Two model systems are used, human induced pluripotent stem cells (iPSC) and human primary monocytes, to characterize α7 nAChR function, Ca2+ dynamics and decoders to elucidate the pathway from receptor to phenotype. CHRFAM7A/α7 nAChR is identified as a hypomorphic receptor with mitigated Ca2+ influx and prolonged channel closed state. This shifts the Ca2+ reservoir from the extracellular space to the endoplasmic reticulum (ER) leading to Ca2+ dynamic changes. Ca2+ decoder small GTPase Rac1 is then activated, reorganizing the actin cytoskeleton. Observed actin mediated phenotypes include cellular adhesion, motility, phagocytosis and tissue mechanosensation. CHRFAM7A introduces an additional, human specific, layer to Ca2+ regulation leading to an innate immune gain of function. Through the actin cytoskeleton it drives adaptation to the mechanical properties of the tissue environment leading to an ability to invade previously immune restricted niches. Human genetic diversity predicts profound translational significance as its understanding builds the foundation for successful treatments for infectious diseases, sepsis, and cancer metastasis. This work is supported in part by the Community Foundation for Greater Buffalo (Kinga Szigeti) and in part by NIH grant R01HL163168 (Yongho Bae).

Identity, pathogenicity and genetic diversity of Lasiodiplodia associated with stem-end rot of avocado in China.

Stem-end rot (SER) causes brown necrotic lesions in the pulp near the base of the fruit pedicel and is one of the most devastating postharvest diseases of avocados in all avocado growing regions of the world. China's avocado industry is growing very rapidly, and the planting area is expanding, but little is known about the pathogens and genetic diversity of avocado SER. To determine the causal agents of SER, avocado fruits were sampled from the main avocado-producing areas in China during 2020 and 2021. Fungal isolates were obtained from SER symptomatic avocado fruits and identified by morphology combined with phylogenetic analysis of internal transcribed spacer (ITS), translation elongation factor 1-α (EF1-α) and β-tubulin (TUB2) gene sequences. All 101 isolates belonged to Lasiodiplodia spp., and four Lasiodiplodia species were identified, namely L. pseudotheobromae (59.41%), L. theobromae (24.75%), L. mahajangana (7.92%), L. euphorbiaceicola (1.98%), and six others are classified as Lasiodiplodia sp. (5.94%). There were only slight morphological differences in colonies and conidia of these four species of Lasiodiplodia. The pathogenicity tests showed symptoms of SER, and the 92.08% of the isolates exhibited a high level of virulence on avocado (disease index > 70), related to the disease severity on avocado fruit. All tested isolates grew well under conditions from 23 to 33℃. There was a significant difference in mycelial growth between the four species of Lasiodiplodia after treatment with high temperature or low temperature. L. pseudotheobromae growth was the fastest at 13 to 18℃, but was the lowest at 38℃ (P < 0.05). Red pigment could be produced by all tested isolates after culturing for 7 days at 38℃. The mycelial growth rate was the fastest on PDA medium, and the slowest on OMA medium but promoted spore formation (P < 0.05). In addition, was determined the genetic diversity of Lasiodiplodia pathogenic species associated with SER collected from avocado, mango, guava and soursop fruits was determined. A total of 74 isolates were clustered into 4 main ISSR groups by unweighted pair-group method with arithmetic mean (UPGMA) analysis, and the classification of this group was related to the host. Extensive diversity was detected in the Lasiodiplodia populations. The diverse geographical origins and host species significantly influenced the population differentiation, and most of the genetic variation occurred within populations (P < 0.001). This is the first study to identify the major pathogens of avocado SER in China and to survey their occurrence, pathogenicity and include a comparative analysis of genetic diversity with Lasiodiplodia spp. causing SER on other fruit hosts. Collectively, the Lasiodiplodia species complex affecting avocado showed high pathogenicity and diversity, while L. pseudotheobromae was the most frequently isolated species in China. The results of this study provide insights into the aspects of epidemic of SER disease caused by Lasiodiplodia species, which will help in developing strategies for the management and control of stem end-rot in avocado.

Boom-bust population dynamics drive rapid genetic change

Increasing environmental threats and more extreme environmental perturbations place species at risk of population declines, with associated loss of genetic diversity and evolutionary potential. While theory shows that rapid population declines can cause loss of genetic diversity, populations in some environments, like Australia's arid zone, are repeatedly subject to major population fluctuations yet persist and appear able to maintain genetic diversity. Here, we use repeated population sampling over 13 y and genotype-by-sequencing of 1903 individuals to investigate the genetic consequences of repeated population fluctuations in two small mammals in the Australian arid zone. The sandy inland mouse (Pseudomys hermannsburgensis) experiences marked boom-bust population dynamics in response to the highly variable desert environment. We show that heterozygosity levels declined, and population differentiation (FST) increased, during bust periods when populations became small and isolated, but that heterozygosity was rapidly restored during episodic population booms. In contrast, the lesser hairy-footed dunnart (Sminthopsis youngsoni), a desert marsupial that maintains relatively stable population sizes, showed no linear declines in heterozygosity. These results reveal two contrasting ways in which genetic diversity is maintained in highly variable environments. In one species, diversity is conserved through the maintenance of stable population sizes across time. In the other species, diversity is conserved through rapid genetic mixing during population booms that restores heterozygosity lost during population busts.

Abstract LT03: C/EBPα Acts as an RNA Binding Protein Essential for, and Promotes End-Stage Macrophage Differentiation

Abstract The transcription factor C/EBPα is a well characterized DNA binding protein with essential functions in controlling and regulating myeloid differentiation and lipid metabolism. Herein, we describe C/EBPα’s separate and distinct RNA binding characteristics. Using Chromatin RNA Immunoprecipitation, we identified that C/EBPα interacts primarily with RNA introns in both HL-60 and THP-1 cells, with a preference for a palindromic GC-rich binding motif. Structural prediction in conjunction with RNA electrophoretic mobility shift assays show that C/EBPα interacts with RNA through two previously undescribed domains located towards the proteins N terminus. These domains are distinct from C/EBPα’s DNA binding b-ZIP domain which is instead located on the proteins C terminus. Mouse bone marrow transplantation and in vitro cytokine assays reveal that C/EBPα RNA binding appears to be essential for macrophage maturation but not neutrophil differentiation. To better understand these phenotypic differences, we expanded our observations into the transcriptomic space by utilizing single-cell CITE-Seq. In line with biochemical data, notable mature cell populations were absent when the C/EBPα’s RNA binding domains are excluded from the protein. Intriguingly, differential gene expression revealed strong, selective upregulation of Lipoprotein Lipase (Lpl) in monocyte, but not neutrophil populations. It has been previously reported that dysregulation of Lpl affects bone marrow monocyte progenitor differentiation and results in dysregulated cellular mobilization from the bone marrow, a phenotype that is commonly seen in cancers such as AML. The increased abundance of monocyte and neutrophil populations in the C/EBPα RNA deletion samples is therefore suggestive that C/EBPα RNA binding is critical in regulating terminal differentiation and mobilization circuits which may become dysregulated or perturbed in diseases such as AML. On-going analyses are investigating the RNA velocity trajectory of captured cell populations in an attempt to better understand at which stage C/EBPα RNA binding becomes essential for terminal maturation and differentiation of select cell populations. Taken together though, we demonstrate that C/EBPα is also an RNA binding protein with unique functions distinct from its DNA binding activity that is essential for monocyte maturation, differentiation and mobilization. Citation Format: Mahmoud A. Bassal, Yanzhou Zhang, Yanjing V. Liu, Virginia Camacho, Simone Ummarino, Robert S. Welner, Daniel G Tenen. C/EBPα Acts as an RNA Binding Protein Essential for, and Promotes End-Stage Macrophage Differentiation [abstract]. In: Proceedings of Frontiers in Cancer Science; 2023 Nov 6-8; Singapore. Philadelphia (PA): AACR; Cancer Res 2024;84(8_Suppl):Abstract nr LT03.

Prioritization of oligogenic variant combinations in whole exomes.

Whole exome sequencing (WES) has emerged as a powerful tool for genetic research, enabling the collection of a tremendous amount of data about human genetic variation. However, properly identifying which variants are causative of a genetic disease remains an important challenge, often due to the number of variants that need to be screened. Expanding the screening to combinations of variants in two or more genes, as would be required under the oligogenic inheritance model, simply blows this problem out of proportion. We present here the High-throughput oligogenic prioritizer (Hop), a novel prioritization method that uses direct oligogenic information at the variant, gene and gene pair level to detect digenic variant combinations in WES data. This method leverages information from a knowledge graph, together with specialized pathogenicity predictions in order to effectively rank variant combinations based on how likely they are to explain the patient's phenotype. The performance of Hop is evaluated in cross-validation on 36120 synthetic exomes for training and 14280 additional synthetic exomes for independent testing. Whereas the known pathogenic variant combinations are found in the top 20 in approximately 60% of the cross-validation exomes, 71% are found in the same ranking range when considering the independent set. These results provide a significant improvement over alternative approaches that depend simply on a monogenic assessment of pathogenicity, including early attempts for digenic ranking using monogenic pathogenicity scores. Hop is available at https://github.com/oligogenic/HOP. Supplementary data are available at Bioinformatics online.

Reassessing human MHC-I genetic diversity in T cell studies

The Major Histocompatibility Complex class I (MHC-I) system plays a vital role in immune responses by presenting antigens to T cells. Allele specific technologies, including recombinant MHC-I technologies, have been extensively used in T cell analyses for COVID-19 patients and are currently used in the development of immunotherapies for cancer. However, the immense diversity of MHC-I alleles presents challenges. The genetic diversity serves as the foundation of personalized medicine, yet it also poses a potential risk of exacerbating healthcare disparities based on MHC-I alleles. To assess potential biases, we analysed (pre)clinical publications focusing on COVID-19 studies and T cell receptor (TCR)-based clinical trials. Our findings reveal an underrepresentation of MHC-I alleles associated with Asian, Australian, and African descent. Ensuring diverse representation is vital for advancing personalized medicine and global healthcare equity, transcending genetic diversity. Addressing this disparity is essential to unlock the full potential of T cells for enhancing diagnosis and treatment across all individuals.

Directional Breeding Generates Distinct Genetic Diversity in Hybrid Turf Bermudagrass as Probed with Simple Sequence Repeat Markers

Bermudagrass (Cynodon spp.) is a drought-resistant warm-season turfgrass adapted to the southern and transitional zones in the United States. Multiple hybrid cultivars have been developed and released for use as turfgrass, and others are still undergoing development. Increasing genetic diversity of commercial cultivars is vital to stress tolerance. A DNA profiling study of 21 experimental selections from the Oklahoma State University turfgrass breeding program and 11 cultivars was conducted using 51 simple sequence repeat primer pairs across the bermudagrass genome. A pairwise genetic relationship analysis of the genotypes using 352 polymorphic bands showed genetic similarity coefficients ranging from 0.59 to 0.89. The average pairwise population differentiation values were 0.012 for the 11 cultivars and 0.169 for the 21 selections. A cluster analysis using the unweighted paired group with the arithmetic average method grouped the entries into six clusters. A correlation analysis identified different levels of pairwise genetic relationships among the entries that largely reflected parental relationship. Directional breeding and selection for cold hardiness or drought resistance created progeny that had distinct genetic diversity in the tested bermudagrasses. It is evident that an increase in genetic diversity of the existing cultivar pool with the release of one or more experimental selections for commercial use will strengthen and improve bermudagrass systems.

Decoding populations in the ocean microbiome

Understanding the characteristics and structure of populations is fundamental to comprehending ecosystem processes and evolutionary adaptations. While the study of animal and plant populations has spanned a few centuries, microbial populations have been under scientific scrutiny for a considerably shorter period. In the ocean, analyzing the genetic composition of microbial populations and their adaptations to multiple niches can yield important insights into ecosystem function and the microbiome's response to global change. However, microbial populations have remained elusive to the scientific community due to the challenges associated with isolating microorganisms in the laboratory. Today, advancements in large-scale metagenomics and metatranscriptomics facilitate the investigation of populations from many uncultured microbial species directly from their habitats. The knowledge acquired thus far reveals substantial genetic diversity among various microbial species, showcasing distinct patterns of population differentiation and adaptations, and highlighting the significant role of selection in structuring populations. In the coming years, population genomics is expected to significantly increase our understanding of the architecture and functioning of the ocean microbiome, providing insights into its vulnerability or resilience in the face of ongoing global change.CUDKz2DP2n1VVjiYBBnjBWVideo

Abstract 91: Comprehensive 27-marker standard panel for immune monitoring of pre-clinical tumor mouse models using spectral analyzer technology

Abstract Within the last decade, major technological advances in flow cytometry and (single cell) RNA-sequencing have deepened our understanding of complex anti-tumoral immune responses. This allows a comprehensive immune monitoring of novel therapies in pre-clinical models. Conventional flow cytometry is reaching its technical limitation. The emitted fluorescence signal of the target population stained with antibodies is evaluated with simple bandpass filters, which leads to spectral overlap and thus the number of parameters that can be analyzed simultaneously is limited. The spectral analyzer technology combines both methods, providing great flexibility in evaluating different immune cell populations. This provides the opportunity to obtain target information by measuring the entire fluorescence spectrum measuring each wavelength individually and thus evaluating the true signal of each fluorochrome unaffected by autofluorescence or spillover. Our standard all-in-one flow cytometry panel uses the full capacity of a conventional BD Fortessa flow cytometer and enables the differentiation of important immune cell populations in tumors, such as T cells (CD4+, CD8+, regulatory T cells), B and NK cells as well as macrophages (M1/M2), MDSCs (granulocytes and monocytes) and dendritic cells. However, it would be of great advantage to gain further insights into activation and effector functions of the immune cells using markers like CD44 &amp; CD62L, CD69, PD-1, Lag-3, Tim-3 and PDL-1, CD80, CD86, CD40 and Ki-67. The Sony ID7000 spectral analyzer enables the simultaneous assessment of 27 markers to evaluate immune phenotypes, with the ability to include up to 4 individual target antibodies. Flow cytometry data from various tumor models are presented, demonstrating the enormous utility and potential of the spectral analyzer, especially with limited and precious tumor sample material, by evaluating different immune cell populations simultaneously without reaching its technical limits. The spectral analyzer technology enables us to mechanistically investigate differences in tumor therapies such as PD-1 treatment or other immune cell modulators not only phenotypically but also with regard to activation and differentiation of immune cell populations. Citation Format: Jonas F. Hummel, Philipp Metzger, Roland Sonntag, Dennis Borrero-Wolff, Cynthia Obodozie, Holger Weber. Comprehensive 27-marker standard panel for immune monitoring of pre-clinical tumor mouse models using spectral analyzer technology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 91.

Roles of KCNA2 in Neurological Diseases: from Physiology to Pathology.

Potassium voltage-gated channel subfamily a member 2 (Kv1.2, encoded by KCNA2) is highly expressed in the central and peripheral nervous systems. Based on the patch clamp studies, gain-of function (GOF), loss-of-function (LOF), and a mixed type (GOF/LOF) variants can cause different conditions/disorders. KCNA2-related neurological diseases include epilepsy, intellectual disability (ID), attention deficit/hyperactive disorder (ADHD), autism spectrum disorder (ASD), pain as well as autoimmune and movement disorders. Currently, the molecular mechanisms for the reported variants in causing diverse disorders are unknown. Consequently, this review brings up to date the related information regarding the structure and function of Kv1.2 channel, expression patterns, neuronal localizations, and tetramerization as well as important cell and animal models. In addition, it provides updates on human genetic variants, genotype-phenotype correlations especially highlighting the deep insight into clinical prognosis of KCNA2-related developmental and epileptic encephalopathy, mechanisms, and the potential treatment targets for all KCNA2-related neurological disorders.

Evidence for the Use of Karst Tiankengs as Shelters: The Effect of Karst Tiankengs on Genetic Diversity and Population Differentiation in Manglietia aromatica

Karst tiankengs in China are globally significant locations for studying ecological environments and plant diversity. However, there are few reports on how the unique geographical environment of tiankengs affects plant genetic diversity and genetic structure. This study used Hyper-seq gene sequencing technology to develop large-scale genomic SNPs of Manglietia aromatica, both within and outside the tiankengs. Its aim was to investigate the impact of tiankengs on the genetic diversity and genetic structure of the M. aromatica population. The analysis results indicate that the genetic diversity of the populations within the tiankeng (π = 0.2044) is higher than that of the populations outside of it (π = 0.1671), indicating that the tiankengs have a positive impact on species diversity. The genetic differentiation coefficient (FST) between the populations inside and outside the tiankeng was 0.0534 and the FST values of populations within the tiankeng were 0.077, 0.082, and 0.141, meaning that the genetic variation in the tiankengs is very high. The genetic similarity outside the tiankengs is also very high, indicating that the tiankengs are effectively preserving the genetic diversity of M. aromatica. Furthermore, the gene introgression analysis results gave no proof of gene flow between the three tiankeng populations. This suggests that the tiankengs not only protect species diversity, but also hinder gene flow between populations to some extent. However, this hindrance may gradually subside with the evolution of the tiankengs. The genetic structure analysis revealed that the M. aromatica population in Guangxi, China, can be classified into three subpopulations. The first is the tiankeng subpopulation, including all the populations in tiankengs. The second subpopulation consists of populations surrounding the tiankengs. These two subpopulations are distributed in Leye County in northwestern Guangxi, China, and are very close to each other. The third is the Huanjiang subpopulation, which is located far away from the tiankengs. Considering the direction of gene flow and genetic structure, it is speculated that the populations in the tiankengs evolved from the populations near the pit mouth. This study confirms that the tiankengs are shelters and provide a suitable habitat for the endangered plant M. aromatica, because its genetic diversity is well conserved and the species is well adapted to the habitat within the tiankengs.

Genome-wide variants and optimal allelic combinations for citric acid in tomato

Abstract Citric acid (CA) plays a crucial role as a fruit flavor enhancer and serves as a mediator in multiple metabolic pathways in tomato fruit development. Understanding factors influencing CA metabolism is essential for enhancing fruit flavor and CA-mediated biological processes. The accumulation of CA, however, is influenced by a complex interplay of genetic and environmental factors, leading to challenges in accurately predicting and regulating its levels. In this study, we conducted a genome-wide association study (GWAS) on CA, employing six landmark models based on genome-wide variations including structural variants, insertions and deletions, and single nucleotide polymorphisms. The identification of 11 high-confidence candidate genes was further facilitated by leveraging linkage disequilibrium and causal variants associated with CA. The transcriptome data from candidate genes were examined, revealing higher correlations between the expression of certain candidate genes and changes in CA metabolism. Three CA-associated genes exerted a positive regulatory effect on CA accumulation, while the remaining genes exhibited negative impacts based on gene cluster and correlation analyses. The CA content of tomatoes is primarily influenced by improvement sweeps with minimal influence from domestication sweeps in the long-term breeding history, as evidenced by population differentiation and variants distribution. The presence of various causal variants within candidate genes is implicated in the heterogeneity of CA content observed among the tomato accessions. This observation suggests a potential correlation between the number of alternative alleles and CA content. This study offers significant function-based markers that can be utilized in marker-assisted breeding, thereby enhancing their value and applicability.

Single-cell genomics of a bloom-forming phytoplankton species reveals population genetic structure across continents.

The study of microbial diversity over time and space is fundamental to the understanding of their ecology and evolution. The underlying processes driving these patterns are not fully resolved but can be studied using population genetic approaches. Here we investigated the population genetic structure of Gonyostomum semen, a bloom-forming phytoplankton species, across two continents. The species appears to be expanding in Europe, whereas similar trends are not observed in the United States. Our aim was to investigate if populations of G. semen in Europe and in the United States are genetically differentiated, if there is population genetic structure within the continents, and what the potential drivers of differentiation are. To this end, we used a novel method based on Single Amplified Genomes (SAGs) combined with RADseq (SAG-RAD), that allows de novo genotyping of natural single cell isolates without the need for culturing. We amplified over 900 single-cell genomes from 25 lake populations across Europe and the United States and identified two distinct population clusters, one in Europe and another in the United States. Low genetic diversity in European populations supports the hypothesized recent expansion of G. semen on this continent. Geographic population structure within each continent was associated with differences in environmental variables which may have led to ecological divergence of population clusters. Overall, our results show that SAG-RAD can be used to analyze microalgal population structure and differentiation based on single-cell isolates from natural, uncultured samples.

Molecular Characterisation of Post-Fire Naturally Regenerated Populations of Maritime Pine (Pinus pinaster Ait.) in the North of Portugal

Wildfires act as a selection force threatening the sustainability and diversity of forest genetic resources. Few studies have investigated the genetic effects of forest wildfires. Species with perennial canopy seed banks in serotinous cones and soil or with long-distance seed and pollen dispersion can preserve genetic diversity and population differentiation under normal fire regimes. To test this hypothesis, we characterised molecularly Pinus pinaster Aiton (maritime pine) seedlings produced from seeds sampled in post-fire, naturally regenerated populations that had been subject to different fire regimes in the North of Portugal using inter-simple sequence repeats (ISSRs). The sampled populations burned once (A), twice (B), or three (D) times or had no prior fire history (C, control). Given the globally low seed germination ability, only 104 plantlets regenerated and were described. These plantlets were grouped according to their origin population. Intra-group ISSR polymorphism ranged from 72.73% (B) to 89.41% (D), revealing genetic differentiation among groups originating from populations that had experienced different fire recurrence. Overall, the unaffected genetic diversity of the regenerated plantlets allowed us to accept the hypothesis. Our findings enhance our understanding of the species ability to withstand fire-induced challenges and their responses to wildfires, guiding conservation endeavours and forest management strategies to bolster ecosystem resilience.

Local climate and vernalization sensitivity predict the latitudinal patterns of flowering onset in the crop wild relative Linum bienne Mill.

The timing of flowering onset often correlates with latitude, indicative of climatic gradients. Flowering onset in temperate species commonly requires exposure to cold temperatures, known as vernalization. Hence, population differentiation of flowering onset with latitude might reflect adaptation to the local climatic conditions experienced by populations. Within its Western range, seeds from Linum bienne populations (the wild relative of cultivated L. usitatissimum) were used to describe the latitudinal differentiation of flowering onset to determine its association with the population´s local climate. A vernalization experiment, including different crop cultivars, was used to determine how vernalization accelerates flowering onset, and the vernalization sensitivity response among populations and cultivars. Additionally, genetic differentiation of L. bienne populations along the latitudinal range was scrutinized using microsatellite markers. Flowering onset varied with latitude of origin, with southern populations flowering earlier than their northern counterparts. Vernalization reduced the number of days to flowering onset, but vernalization sensitivity was greater in northern populations compared to southern ones. Conversely, vernalization delayed flowering onset in the crop, exhibiting less variation in sensitivity. In L. bienne, both flowering onset and vernalization sensitivity were better predicted by the population´s local climate than latitude itself. Microsatellite data unveiled genetic differentiation of populations, forming two groups geographically partitioned along latitude. The consistent finding of latitudinal variation across experiments suggests that both flowering onset and vernalization sensitivity in L. bienne populations are under genetic regulation and might depend on climatic cues at the place of origin. The association with climatic gradients along latitude suggests that the climate experienced locally drives population differentiation of the flowering onset and vernalization sensitivity patterns. The genetic population structure suggests that past population history could have influenced the flowering initiation patterns detected, which deserves further work.

Does urbanisation lead to parallel demographic shifts across the world in a cosmopolitan plant?

Urbanisation is occurring globally, leading to dramatic environmental changes that are altering the ecology and evolution of species. In particular, the expansion of human infrastructure and the loss and fragmentation of natural habitats in cities is predicted to increase genetic drift and reduce gene flow by reducing the size and connectivity of populations. Alternatively, the 'urban facilitation model' suggests that some species will have greater gene flow into and within cities leading to higher diversity and lower differentiation in urban populations. These alternative hypotheses have not been contrasted across multiple cities. Here, we used the genomic data from the GLobal Urban Evolution project (GLUE), to study the effects of urbanisation on non-adaptive evolutionary processes of white clover (Trifolium repens) at a global scale. We found that white clover populations presented high genetic diversity and no evidence of reduced Ne linked to urbanisation. On the contrary, we found that urban populations were less likely to experience a recent decrease in effective population size than rural ones. In addition, we found little genetic structure among populations both globally and between urban and rural populations, which showed extensive gene flow between habitats. Interestingly, white clover displayed overall higher gene flow within urban areas than within rural habitats. Our study provides the largest comprehensive test of the demographic effects of urbanisation. Our results contrast with the common perception that heavily altered and fragmented urban environments will reduce the effective population size and genetic diversity of populations and contribute to their isolation.

Lineage-level species distribution model to assess the impact of climate change on the habitat suitability of Boleophthalmus pectinirostris

Global climate change has profound impacts on the habitats of marine organisms, and predicting the habitat changes of species under climate change conditions is crucial for species sustainability. Boleophthalmus pectinirostris is an intertidal fish species that holds significant ecological and economic value. To better protect and manage its resources, this study aimed to predict its current potential distribution and habitat changes under different climate scenarios in the future. This study firstly quantified the hypervolume niches of the three lineages (AE1, AE2, and AES lineages) and compared the niche differentiation among them. Furthermore, this study constructed species-level and lineage-level species distribution models (SDMs) to assess the impact of climate change on the habitat suitability of B. pectinirostris. The result of the niche differentiation assessment showed that there was marked differentiation in niches among the three lineages. The responses of different lineages to environmental variables were different, suggesting that lineage-level models may provide more accurate prediction results. According to the model predictions, the AES may have greater resilience to climate change and may experience habitat expansion in the future, while the AE1 and the AE2 may face habitat loss in some regions. Climate change-driven shifts in oceanic conditions were anticipated to affect the distribution and community structure of marine organisms. This study assessed the impact of climate change on the suitable habitat range of three lineages of B. pectinirostris using SDMs. Consistent with previous studies, the results of our study indicated that lineage-level SDMs may be more reliable than species-level SDMs for species with population differentiation in terms of the accuracy of predictions. In addition, considering the vulnerability of the AE1 and AE2 lineages to climate change, conserving these two lineages should be given a higher priority. The results of this study will provide important information for the future management and conservation of this species.

Genomic scan of endangered moroccan endemic trees (Argania spinosa L. Skeels) along a latitudinal gradient: Exploring gene-environment correlations

Understanding the adaptive mechanism of trees to climate change and effective management of genetic resources necessitate a comprehensive knowledge of the relationship between environmental factors and their adaptive power. This study focuses on the endangered Moroccan endemic tree, Argania spinosa L., known for its remarkable adaptive power in the Mediterranean climate and heavily impacted by climate change. Through genomic scans along a latitudinal gradient, we aimed to identify genomic regions associated with convergent or divergent selection by searching the genome for outlier loci demonstrating high population differentiation. Variation of dominant markers (Amplified Fragment Length Polymorphism) was correlated with variation of environmental factors to discern signals of natural selection in 13 natural populations of Argania spinosa L. along a latitudinal transect.Genotyping of 130 individuals with 477 AFLP markers revealed six outlier loci exhibiting elevated population differentiation values within argan forests. The BayeScan v2.1 software was used to detect outlier loci, and the (MLM) method strongly associated these loci with at least five environmental factors, particularly bioclimatic variables. Notably, all outlier loci exhibited significant correlations with Soil Moisture, with additional associations with Temperature, Precipitation, Landforms, and Soil Type, influencing the local adaptation of Argania spinosa L.The outlier AFLP loci may not be the direct targets of natural selection, but locate closely to genes that are potential involved in local adaptation. Consequently, further investigations are imperative to validate these candidate loci. This research underscores the significance of considering bioclimatic variables, especially Soil Moisture, in understanding the local adaptation of Argania spinosa L. amid climate change in Morocco.

MISSENSE MUTATIONS IN THE IRAK1 GENE ARE ASSOCIATED WITH AN INCREASED RISK OF SYSTEMIC LUPUS ERYTHEMATOSUS

Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation in humans. Missense SNPs can change protein structure and function. This study aimed to determine missense SNPs of the IRAK1 gene that can affect the amino acid sequence and lead to changes in protein structure and function, as well as their relationship as a risk factor for SLE. In this in silico method, several bioinformatics tools have been used to identify missense SNPs, including their properties and impacts, as well as their interaction networks with proteins. The tools used were PolyPhenv2, SIFT, PhD-SNP, PROVEAN, SNAP, Panthers, I-Mutant 3.0, and GeneMania. Four missense SNPs, rs11465830, rs1059702, rs1059703, and 10127175, were obtained from the NCBI SNP database. The SIFT test results showed that all the SNPs were tolerant. In the test results obtained using PolyPhen, the four SNPs were benign. The results of the probe test indicated that the four SNPs were neutral. When tested with SNAP, one SNP was neutral, and three others had an impact. In the PhD-SNP test, all SNPs were neutral. In the panther test, all SNPs were benign. The I-mutant assay showed that the four SNPs could decrease protein stability. Tests with GeneMania have reported that most interactions between genes were between IRAK1 and MYD88, and physical interactions were the most dominant form of interaction. Conclusion. rs10127175, rs11465830, rs1059702, and rs1059703 are missense SNPs in IRAK1, which can disrupt protein stability and be a risk factor for SLE. Keywords: IRAK1, SNP, Missense, Systemic Lupus Erythematosus

Genome-wide diversity, population structure and signatures of inbreeding in the African buffalo in Mozambique

The African buffalo, Syncerus caffer, is a key species in African ecosystems. Like other large herbivores, it plays a fundamental role in its habitat acting as an ecosystem engineer. Over the last few centuries, African buffalo populations have declined because of range contraction and demographic decline caused by direct or indirect human activities. In Mozambique, historically home to large buffalo herds, the combined effect of colonialism and subsequent civil wars has created a critical situation that urgently needs to be addressed. In this study, we focused on the analysis of genetic diversity of Syncerus caffer caffer populations from six areas of Mozambique. Using genome-wide SNPs obtained from ddRAD sequencing, we examined the population structure across the country, estimated gene flow between areas under conservation management, including national reserves, and assessed the inbreeding coefficients. Our results indicate that all studied populations of Syncerus caffer caffer are genetically depauperate, with a high level of inbreeding. Moreover, buffaloes in Mozambique present a significant population differentiation between southern and central areas. We found an unexpected genotype in the Gorongosa National Park, where buffaloes experienced a dramatic population size reduction, that shares a common ancestry with southern populations of Catuane and Namaacha. This could suggest the past occurrence of a connection between southern and central Mozambique and that the observed population structuring could reflect recent events of anthropogenic origin. All the populations analysed showed high levels of homozygosity, likely due to extensive inbreeding over the last few decades, which could have increased the frequency of recessive deleterious alleles. Improving the resilience of Syncerus caffer caffer in Mozambique is essential for preserving the ecosystem integrity. The most viable approach appears to be facilitating translocations and re-establishing connectivity between isolated herds. However, our results also highlight the importance of assessing intraspecific genetic diversity when considering interventions aimed at enhancing population viability such as selecting suitable source populations.