Estructura y variabilidad genética del bisonte americano (Bison bison) en México

Controlling for genetic variables to managing conservation populations. Single nucleotide polymorphism (SNP) genetic markers were used to analyze genetic structure and variability in an American bison population in the state of Chihuahua, Mexico. A total of 174 individuals were sampled and analysis done of 42,366 SNP distributed in 29 chromosomes. Estimates were done of expected (He) and observed (Ho) heterozygosity, polymorphic information content (PIC), the fixation index (FST), the Shannon index (SI), linkage disequilibrium (LD), kinship relationships (Rij; %), and effective population size (Ne). A genetic structure analysis was run to infer how many lines or genomes (k) define the studied population. A panel with 2,135 polymorphic SNPs was identified and selected, with an average of 74 SNP per chromosome. In the exclusion process, 84.5 % were monomorphic, 8.5 % had a usable percentage less than 90 %, 6.3 % had a minor allele frequency less than 0.01 and 0.70 % exhibited Hardy-Weinberg disequilibrium (P<0.05). Estimated values were 0.30 for the SI, 0.187 for Ho, 0.182 for He, -0.029 for the FST, and 0.152 for PIC. Of the 15,051 Rij estimates generated, the average value was 7.6 %, and 45.1 % were equal to zero. The Ne was 12.5, indicating a possible increase of 4 % in consanguinity per generation. Three genetic lines were identified (proportions = 0.730, 0.157 and 0.113), and, given the study population’s origin, are probably associated with natural selection or genetic drift. Genetic variability, as well as Rij levels, must be considered in conservation schemes.Los objetivos fueron analizar la estructura y variabilidad genética del bisonte americano con marcadores genéticos de tipo SNP. Se muestrearon 174 bisontes y se analizaron 42,366 SNP distribuidos en los 29 cromosomas. Se estimó la heterocigosis esperada (He) y observada (Ho), contenido de información polimórfica (CIP), índice de fijación (FIS), índice de Shannon (IS), desequilibrio de ligamiento y relación de parentesco (Rij; %), así como el tamaño efectivo de población (Ne). Se realizó un análisis de estructura genética para inferir cuántas líneas o genomas (k) definen la población. Se identificó y seleccionó un panel con 2,135 SNP polimórficos, con un promedio de 74 SNP por cromosoma. En el proceso de exclusión,  84.5 % fueron monomórficos,  8.5 % con porcentaje de usables menor a 90 %, 6.3 % con frecuencia del alelo menor inferior a 0.01 y 0.70 % por desequilibrio Hardy-Weinberg (P<0.05). Las estimaciones de IS, Ho, He, FIS y CIP fueron de 0.30, 0.187, 0.182, -0.029 y 0.152, respectivamente. Se generaron 15,051 estimaciones de Rij, el valor promedio de éstas fue 7.6 %, y el 45.1 % de ellas fue igual a cero. El Ne fue de 12.5, señalando un posible incremento de consanguinidad por generación de 4 %. Se identificaron tres líneas genéticas, con proporciones de 0.730, 0.157 y 0.113; dado el origen de la población, se asocian a selección natural o deriva genética. La variabilidad genética, así como los niveles de la Rij, se deben de considerar en esquemas de conservación

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century