Examinando por Autor "Figueroa Venegas, Deyanira Antonella"

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Complete mitogenome of “pumpo” (Bos taurus), a top bull from a Peruvian genetic nucleus, and its phylogenetic analysis
(MDPI, 2024-05-28) Estrada Cañari, Richard; Figueroa Venegas, Deyanira Antonella; Romero Avila, Yolanda; Alvarez García, Wuesley Yusmein; Rojas Cruz, Diorman; Alvarado, Wigoberto; Maicelo, Jorge L.; Quilcate Pairazamán, Carlos Enrique; Arbizu Berrocal, Carlos Irvin
The mitochondrial genome of Pumpo (Bos taurus), a prominent breed contributing to livestock farming, was sequenced using the Illumina HiSeq 2500 platform. Assembly and annotation of the mitochondrial genome were achieved through a multifaceted approach employing bioinformatics tools such as Trim Galore, SPAdes, and Geseq, followed by meticulous manual inspection. Additionally, analyses covering tRNA secondary structure and codon usage bias were conducted for comprehensive characterization. The 16,341 base pair mitochondrial genome comprises 13 protein-coding genes, 22 tRNA genes, and 2 rRNA genes. Phylogenetic analysis places Pumpo within a clade predominantly composed of European cattle, reflecting its prevalence in Europe. This comprehensive study underscores the importance of mitochondrial genome analysis in understanding cattle evolution and highlights the potential of genetic improvement programs in livestock farming, thus contributing to enhanced livestock practices.
Draft genome sequence and SSR data mining of “pumpo” (Bos taurus), a top bull from a peruvian genetic nucleus
(MDPI, 2024-06-18) Estrada Cañari, Richard; Romero Avila, Yolanda; Figueroa Venegas, Deyanira Antonella; Quilcate Pairazaman, Carlos Enrique; Casanova Nuñez-Melgar, David Pavel; Vásquez Pérez, Hector Vladimir; Alvarado Chuqui, Wigoberto; Maicelo Quintana, Jorge Luis; Arbizu Berrocal, Carlos Irvin
Pumpo is a Simmental breed and an essential livestock resource in the nucleus genetic cattle of Peru. This study provides a draft genome sequence of a top bull using a de novo assembly approach on the Illumina Novaseq X platform, yielding 208 GB of raw sequencing data with 150 bp paired‐end reads. The final genome assembly resulted in a size of 2.06 Gb with an N50 contig length of 108 Mb and a completeness of 95.7% according to BUSCO analysis. A total of 973,925 simple sequence repeats (SSRs) were identified, with a predominance of mononucleotide repeats. The genome showed low heterozygosity (0.568%) and moderate repeatability (11.5%), aligning with other Bos taurus genomes. Reference‐guided scaffolding improved the assembly quality significantly, producing an N50 scaffold value of 108 Mb. The SSR analysis of the Pumpo genome identified 973,925 SSRs with a frequency of 2,808 SSRs per kilobase, predominantly mononucleotide repeats, and 85,453 found in compound formations. Obtaining knowledge of the genome of a breeding Simmental bull is essential to optimize breeding programs and improve productivity.
Effects of age in fecal microbiota and correlations with blood parameters in genetic nucleus of cattle
(MDPI, 2024-06-29) Estrada Cañari, Richard; Romero Avila, Yolanda Madelein; Figueroa Venegas, Deyanira Antonella; Coila, Pedro; Hañari Quispe, Renán Dilton; Aliaga, Mery; Galindo, Walter; Alvarado, Wigoberto; Casanova Nuñez-Melgar, David Pavel; Quilcate Pairazamán, Carlos Enrique
This study aimed to determine the impact of age on the fecal microbiota in the genetic nucleus of cattle, with a focus on microbial richness, composition, functional diversity, and correlations with blood parameters. Fecal and blood samples from 21 cattle were analyzed using 16S rRNA gene sequencing. Older cattle exhibited greater bacterial diversity and abundance, with significant changes in alpha diversity indices (p < 0.05). Beta diversity analysis revealed significant variations in microbial composition between age groups and the interaction of age and sex (p < 0.05). Correlations between alpha diversity, community composition, and hematological values highlighted the influence of microbiota on bovine health. Beneficial butyrate-producing bacteria, such as Ruminococcaceae, were more abundant in older cattle, suggesting a role in gut health. Functional diversity analysis indicated that younger cattle had significantly more abundant metabolic pathways in fermentation and anaerobic chemoheterotrophy. These findings suggest management strategies including tailored probiotic therapies, dietary adjustments, and targeted health monitoring to enhance livestock health and performance. Further research should include comprehensive metabolic analyses to better correlate microbiota changes with age-related variations, enhancing understanding of the complex interactions between microbiota, age, and reproductive status.
First draft genome assembly of the Peruvian creole cattle breed (Bos taurus) and its comparative genomics among the Bovinae subfamily
(MDPI, 2022-08-18) Estrada Cañari, Richard; Corredor Arizapana, Flor Anita; Figueroa Venegas, Deyanira Antonella; Salazar Coronel, Wilian; Quilcate Pairazamán, Carlos Enrique; Vásquez Pérez, Héctor Vladimir; Maicelo Quintana, Jorge Luis; Gonzales, Jhony; Arbizu Berrocal, Carlos Irvin
The Peruvian creole cattle (PCC) is a neglected breed, and is an essential livestock resource in the Andean region of Peru. To develop a modern breeding program and conservation strategies for the PCC, a better understanding of the genetics of this breed is needed. We sequenced the whole genome of the PCC using a paired-end 150 strategy on the Illumina HiSeq 2500 platform, obtaining 320 GB of sequencing data. The obtained genome size of the PCC was 2.77 Gb with a contig N50 of 108Mb and 92.59% complete BUSCOs. Also, we identified 40.22% of repetitive DNA of the genome assembly, of which retroelements occupy 32.39% of the total genome. A total of 19,803 protein-coding genes were annotated in the PCC genome. We downloaded proteomes and genomes of the Bovinae subfamily, and conducted a comparative analysis with our draft genome. Phylogenomic analysis showed that PCC is related to Bos indicus. Also, we identified 7,746 family genes shared among the Bovinae subfamily. This first PCC genome is expected to contribute to a better understanding of its genetics to adapt to the tough conditions of the Andean ecosystem, and evolution.
Genetic diversity and population structure of a Peruvian cattle herd using SNP data
(Frontiers Media S.A., 2023-03-10) Corredor Arizapana, Flor Anita; Figueroa Venegas, Deyanira Antonella; Estrada Cañari, Richard; Salazar Coronel, Wilian; Quilcate Pairazamán, Carlos Enrique; Vásquez Pérez, Héctor Vladimir; Gonzales Malca, Jhony Alberto; Maicelo Quintana, Jorge Luis; Medina Morales, Percy Edilberto; Arbizu Berrocal, Carlos Irvin
New-generation sequencing technologies, among them SNP chips for massive genotyping, are useful for the effective management of genetic resources. To date, molecular studies in Peruvian cattle are still scarce. For the first time, the genetic diversity and population structure of a reproductive nucleus cattle herd of four commercial breeds from a Peruvian institution were determined. This nucleus comprises Brahman (N = 9), Braunvieh (N = 9), Gyr (N = 5), and Simmental (N = 15) breeds. Additionally, samples from a locally adapted creole cattle, the Arequipa Fighting Bull (AFB, N = 9), were incorporated. Female individuals were genotyped with the GGPBovine100K and ma les with the BovineHD. Quality control, and the proportion of polymorphic SNPs, minor allele frequency, expected heterozygosity, observed heterozygosity, and inbreeding coefficient were estimated for the five breeds. Admixture, principal component analysis (PCA), and discriminant analysis of principal components (DAPC) were performed. Also, a dendrogram was constructed using the Neighbor-Joining clustering algorithm. The genetic diversity indices in all breeds showed a high proportion of polymorphic SNPs, varying from 51.42% in Gyr to 97.58% in AFB. Also, AFB showed the highest expected heterozygosity estimate (0.41 ± 0.01), while Brahman the lowest (0.33 ± 0.01). Besides, Braunvieh possessed the highest observed heterozygosity (0.43 ± 0.01), while Brahman the lowest (0.37 ± 0.02), indicating that Brahman was less diverse. According to the molecular variance analysis, 75.71% of the variance occurs within individuals, whereas 24.29% occurs among populations. The pairwise genetic differentiation estimates (FST) between breeds showed values that ranged from 0.08 (Braunvieh vs. AFB) to 0.37 (Brahman vs. Braunvieh). Similarly, pairwise Reynold’s distance ranged from 0.09 (Braunvieh vs. AFB) to 0.46 (Brahman vs. Braunvieh). The dendrogram, similar to the PCA, identified two groups, showing a clear separation between Bos indicus (Brahman and Gyr) and B. taurus breeds (Braunvieh, Simmental, and AFB). Simmental and Braunvieh grouped closely with the AFB cattle. Similar results were obtained for the population structure analysis with K = 2. The results from this study would contribute to the appropriate management, avoiding loss of genetic variability in these breeds and for future improvements in this nucleus. Additional work is needed to speed up the breeding process in the Peruvian cattle system.
Genetic diversity and structure of creole cattle (Bos taurus) from southern Peruvian Highlands
(2024-01-17) Figueroa Venegas, Deyanira Antonella; Saldaña, Carla L.; Corredor Arizapana, Flor Anita; Heredia Vilchez, Lizeth Amparo; Mamani Cato, Rubén Herberht; Gutierrez, Gustavo; Gomez Quispe, Oscar; Ciprian, Aldo; Murga Valderrama, Luis N.; Arbizu, Carlos I.
The creole cattle was originated after the introduction of cattle into America 5 centuries ago. Currently, the production traits of Peruvian creole cattle is scarcely known. An important characteristic of the creole cattle is its adaptability to different extreme environments. However, to date, molecular studies in Peruvian creole cattle are still scarce. Currently, due to the advances in molecular genetics, a new generation of molecular markers has been developed for the genetic characterization of livestock. Single nucleotide polymorphisms (SNP) have become a very popular tool for the genetic study of livestock populations. Genome-wide SNP chips were developed for multi-breed genetic studies in cattle.
Genome-wide single nucleotide polymorphisms reveal the genetic diversity and population structure of Creole goats from northern Peru
(Elsevier, 2024-04-24) Corredor Arizapana, Flor Anita; Figueroa Venegas, Deyanira Antonella; Estrada Cañari, Richard; Burgos Paz, William; Salazar Coronel, Wilian; Cruz Góngora, Wilder; Lobato Gálvez, Roiser Honorio; Injante Silva, Pedro Hugo; Godoy Padilla, David José; Barrantes Bravo, Christian Alfredo; Ganoza Roncal, Jorge Juan; Cruz Luis, Juancarlos Alejandro; Arbizu Berrocal, Carlos Irvin
Goat farming constitutes a significant source of income for farmers in northern Peru. There is currently an absence of information about the genetics of Peruvian Creole goats that would enable us to understand their origins and genetic spread. The objective of this study was to estimate the genetic diversity of Creole goats from northern Peru using SNP markers. This study involved the collection of 192 male Creole goats from three key goat production geographical departments in northern Peru. These goat samples were genotyped using the GGPGoat70k SNP panel. To explore the genetic influence of other breeds on Peruvian Creole goats, our dataset was combined with previously published SNP genotypes. External data set includes multiple breeds genotypes sampled from Argentina, Brazil, Spain, and Alpine breed from Italy, France, and Switzerland. After quality control 52,832 autosomal SNPs were used to assess genetic diversity in the Peruvian goats. For the population structure analysis of the merged data 20,513 common SNPs were used. Estimations for expected heterozygosity (He), observed heterozygosity (Ho), and inbreeding coefficient (FIS) were computed for the Peruvian groups. AMOVA, principal component analysis and ADMIXTURE were conducted to evaluate the population structure in the two data sets, Peru and merged. The results revealed a considerable genetic diversity, with Ho values ranging from 0.40 to 0.41 for the Peruvian sampling groups, and inbreeding coefficient was notably low for Peruvian goat. The population structure analysis demonstrated a distinction (p < 0.05) from other breeds. These findings suggest a level of genetic differentiation of the Peruvian goat population among other breeds, although further research is needed considering samples from other Peruvian areas. We expect this study will contribute to define genetic management strategies to prevent the loss of genetic diversity in Peruvian goat populations and for upcoming advancements in this field.
Implementing cloud computing for the digital mapping of agricultural soil properties from high resolution UAV multispectral imagery
(MDPI, 2023-06-20) Pizarro Carcausto, Samuel Edwin; Pricope, Narcisa G.; Figueroa Venegas, Deyanira Antonella; Carbajal Llosa, Carlos Miguel; Quispe Huincho, Miriam Rocío; Vera Vilchez, Jesús Emilio; Alejandro Méndez, Lidiana Rene; Achallma Mendoza, Lino; González Tovar, Izamar Estrella; Salazar Coronel, Wilian; Loayza, Hildo; Cruz Luis, Juancarlos Alejandro; Arbizu Berrocal, Carlos Irvin
The spatial heterogeneity of soil properties has a significant impact on crop growth, making it difficult to adopt site-specific crop management practices. Traditional laboratory-based analyses are costly, and data extrapolation for mapping soil properties using high-resolution imagery becomes a computationally expensive procedure, taking days or weeks to obtain accurate results using a desktop workstation. To overcome these challenges, cloud-based solutions such as Google Earth Engine (GEE) have been used to analyze complex data with machine learning algorithms. In this study, we explored the feasibility of designing and implementing a digital soil mapping approach in the GEE platform using high-resolution reflectance imagery derived from a thermal infrared and multispectral camera Altum (MicaSense, Seattle, WA, USA). We compared a suite of multispectral-derived soil and vegetation indices with in situ measurements of physical-chemical soil properties in agricultural lands in the Peruvian Mantaro Valley. The prediction ability of several machine learning algorithms (CART, XGBoost, and Random Forest) was evaluated using R2, to select the best predicted maps (R2 > 0.80), for ten soil properties, including Lime, Clay, Sand, N, P, K, OM, Al, EC, and pH, using multispectral imagery and derived products such as spectral indices and a digital surface model (DSM). Our results indicate that the predictions based on spectral indices, most notably, SRI, GNDWI, NDWI, and ExG, in combination with CART and RF algorithms are superior to those based on individual spectral bands. Additionally, the DSM improves the model prediction accuracy, especially for K and Al. We demonstrate that high-resolution multispectral imagery processed in the GEE platform has the potential to develop soil properties prediction models essential in establishing adaptive soil monitoring programs for agricultural regions.
Microsatellite-based genetic diversity and population structure of Huacaya alpacas (Vicugna pacos) in Southern Peru
(MDPI, 2023-05-05) Figueroa Venegas, Deyanira Antonella; Corredor Arizapana, Flor Anita; Mamani Cato, Ruben; Gallegos Acero, Roberto; Condori Rojas, Nicoll; Estrada Cañari, Richard; Heredia Vilchez, Lizeth Amparo; Salazar Coronal, Wilian; Quilcate Pairazamán, Carlos Enrique; Arbizu Berrocal, Carlos Irvin
The alpaca population mostly consists of the Huacaya phenotype and is widely distributed in Southern Peru. This study aimed to estimate the genetic diversity and population structure of two Huacaya alpaca populations (Ajoyani and Quimsachata) using fourteen and twelve microsatellite markers for each population, respectively. A total of 168 alpaca biological samples were outsourced to Peruvian laboratories for DNA extraction and genotyping. For genetic diversity, observed heterozygosity (Ho), expected heterozygosity (He), polymorphism information content (PIC), and fixation indices values were estimated. An admixture analysis was performed for the population structure analysis. Different programs were used for these estimations. In total, 133 (Ajoyani) and 129 (Quimsachata) alleles were found, with a range of 4 to 17 by locus. The mean HO, HE, and PIC per marker for Ajoyani were 0.764 ± 0.112, 0.771 ± 0.1, and 0.736; for Quimsachata, they were 0.783 ± 0.087, 0.773 ± 0.095, and 0.738, respectively. The population structure showed no structure with K = 2. This study provides useful indicators for the creation of appropriate alpaca conservation programs.
Season and breed effect in fresh semen parameters at a bull semen production center in Peru
(Unique Scientific Publishers, 2024-07-14) Dipaz Berrocal, Deysi; León Trinidad, Silvia Eliana; Figueroa Venegas, Deyanira Antonella; Mamani Chullo, Rolando; Ramirez Hernandez, Juan; Alvarez García, Wuesley Yusmein; Estrada Cañari, Richard; Quilcate Pairazaman, Carlos Enrique
In the present study, the effect of breed, season, and their interaction on semen volume, sperm concentration, and motility was tested. Nine bulls were tested: three Braunvieh, three Simmental (B. taurus), and three Gyr (B. indicus). These bulls were managed equally in a cold semi-arid climate, divided into hot (from November to April) and cold (from May to October) for maximum and minimum temperature and relative humidity. Semen was collected twice a week for 24 consecutive months. MANOVA by ranks was used to determine significant effects; breed had a significant effect (P<0.001) on semen parameters, and seasonal variations were not significant (P>0.05). However, there was a significant effect (P<0.001) for the interaction between breed and season. To evaluate differences between breeds, we performed Tukey's post-hoc test; all pairwise comparisons (Braunvieh-Gyr, Braunvieh-Simmental and Gyr-Simmental) showed significant differences (P<0.001). Nonparametric one-way analysis showed significantly higher B. taurus breeds’ sperm concentration and B. indicus breed’s semen volume. For interaction between breed and season, Gyr reported higher sperm volume than B. taurus breeds in both seasons (P>0.05), but B. taurus breeds had higher sperm concentration in the cold season. The findings will help management make better decisions in semen collection, especially during peak season.