Polimorfismos em genes‑candidatos e suas associações com características de carcaça e qualidade da carne em bovinos Nelore

The objective of this work was to estimate the allele polymorphism frequencies of genes in Nellore cattle and associate them with meat quality and carcass traits. Six hundred males were genotyped for the following polymorphisms: DGAT1 (VNTR with 18 nucleotides at the promoter region); ANK1, a new polymorphism, identified and mapped here at the gene regulatory region NW_001494427.3; TCAP (AY428575.1:g.346G>A); and MYOG (NW_001501985:g.511G>C). In the association study, phenotype data of hot carcass weight, ribeye area, backfat thickness, percentage of intramuscular fat, shear force, myofibrillar fragmentation index, meat color (L*, a*, b*), and cooking losses were used. Allele B from the ANK1 gene was associated with greater redness (a*). Alleles 5R, 6R, and 7R from the DGAT1 VNTR gene were associated with increased intramuscular fat, reduced cooking losses and increased ribeye area, respectively. The single nucleotide polymorphism (SNP) of the TCAP gene was not polymorphic, and MYOG alleles were not associated with any of the evaluated characteristics. These results indicate that ANK1 and DGAT1 genes can be used in the selection of Nellore cattle for carcass and meat quality.O objetivo deste trabalho foi estimar as frequências de polimorfismos alélicos em genes de bovinos Nelore e associá‑los às características de carcaça e qualidade da carne. Seiscentos machos foram genotipados quanto aos seguintes polimorfismos: DGAT1 (VNTR com 18 nucleotídeos na região promotora); ANK1, novo polimorfismo, identificado no presente estudo e mapeado na região gênica regulatória NW_001494427.3; TCAP (AY428575.1:g.346G>A); e MYOG (NW_001501985:g.511G>C). No estudo de associação, foram utilizados os dados fenotípicos de massa da carcaça quente, área de olho do lombo, espessura de gordura subcutânea, percentagem de gordura intramuscular, força de cisalhamento, índice de fragmentação miofibrilar, coloração da carne (L*, a*, b*) e perdas por cocção. O alelo B do gene ANK1 foi associado ao aumento da coloração vermelha (a*) da carne. No gene DGAT1, os alelos 5R, 6R e 7R foram associados ao aumento de gordura intramuscular, à redução das perdas por cocção e ao aumento da área de olho de lombo, respectivamente. O SNP (polimorfismo de nucleotídeo único) do gene TCAP não apresentou polimorfismo, e os alelos do gene MYOG não foram associados a nenhuma das características avaliadas. Os resultados indicam que os genes ANK1 e DGAT1 podem ser utilizados na seleção de animais Nelore quanto à qualidade de carne e carcaça

Altrenogest during early pregnancy modulates uterine glandular epithelium and endometrial growth factor expression at the time implantation in pigs

This study evaluated the effects of supplying altrenogest from day 6-12 of pregnancy on the endometrial glandular epithelium, corpora lutea (CL) morphology, and endometrial and CL gene expression. A total of 12 crossbred females (Landrace × Large White) were used. The females were assigned to 4 treatments according to a random design with a 2 × 2 factorial arrangement, with two categories (sow or gilt) and two treatments (non-treated and treated with altrenogest). On day 6 of pregnancy, animals were allocated to one of the following groups: non-treated (NT, n = 6; 3 sows and 3 gilts), and (T, n = 6; 3 sows and 3 gilts) treated daily with 20 mg of altrenogest, from day 6-12 of pregnancy. All animals were euthanized on day 13 of pregnancy. All CLs were individually weighed, and their volume were determined. The endometrial glandular density (GD), mean glandular area (MGA), and vascular density (VD) were determined by histomorphometric and immunohistochemical analyses. Endometrium samples were collected and analyzed by qRT-PCR to evaluate the abundance of transcripts for VEGF and IGF-I. Females in the T group had higher MGA (P < 0.05) compared to the NT group. There was no effect of treatment on GD or VD for both experimental groups. Sows in the T group had augmented expression of IGF-I (P < 0.05). Progestagen had no detrimental effect on CL morphology. In conclusion, altrenogest improves the uterine environment during the peri-implantation period in pigs without compromising corpora lutea development

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Associação genética de características de qualidade de carne e precocidade sexual em animais Nelore (Bos indicus)

Brazil has a world's prominent role in the agricultural sector, and the largest commercial herd in the world, occupying, nowadays, the position of largest beef exporter. The country's herd is mainly composed of Bos indicus breed, specially Nellore breed. However, it is known that, in general, Bos indicus breeds have low productivity index and produces meat of lower quality then Bos taurus. Seeking for alternatives that may improve the efficiency and productivity of the animals, increasing the profitability and the meat quality produced in the country, is the challenges of the Brazilian livestock. Therefore, assessing the genetic association between traits that have direct influence on the productivity may contribute to the improvement of the sector. Within this context, elucidating the genetic association between sexual precocity of females and fat deposition in Nellore, providing tools to identify animals (bulls) that produce calves that are early in carcass finishing and sexually precocious heifers, may contribute to short the production cycle of beef cattle and increase profitability and productivity of the system. Thus, the aim of the present study is to estimate the genetic correlations between sexual precocity trait and meat quality traits in Nelore cattle, in order to obtain informations that can be incorporated into animal breeding programs. For sexual precocity trait, all records of females that were born from 1993 to 2012 were used. For carcass and meat quality traits were used only males, born from 2008 to 2011, fed for finishing in a period of 90 days. Variance components were estimated by Bayesian inference using bull linear model for the EGS characteristics, MARM and LIP and non-linear sire model (threshold) to PREC. Two-trait analyzes were carried out, involving the PREC feature and one of the three characteristics, EGS, MARM or LIP. The heritability estimates obtained by bi-trait analyzes were 0.06, 0.03 and 0.05, for ...O Brasil tem papel de destaque no setor da agropecuária mundial, tendo o maior rebanho comercial do mundo, ocupando o posto de maior exportador de carne bovina na atualidade. O rebanho do país é formado majoritariamente por animais de raças zebuínas, sendo em sua maioria da raça Nelore. No entanto, a pecuária de corte nacional, em geral apresenta baixa produtividade e inconstância na qualidade do produto final, a carne. A busca por alternativas que possam melhorar a eficiência e a produtividade do sistema, aumentando a lucratividade e qualidade da carne produzida no país, é um dos desafios da pecuária brasileira. Portanto, avaliar a associação genética existente entre características que tem influência direta na produtividade da pecuária de corte nacional, pode contribuir para a melhoria do setor. Neste contexto, elucidar a associação genética existente entre a precocidade sexual de fêmeas e a deposição de gordura na raça Nelore, disponibilizando ferramentas para identificar animais (touros) que produzam novilhos que são precoces em acabamento de carcaça e novilhas precoces sexualmente, pode contribuir para encurtar o ciclo de produção da bovinocultura de corte e aumentar a lucratividade e produtividade do sistema. Desta forma, objetivou-se com o presente estudo, estimar as correlações genéticas de característica indicadora de precocidade sexual com características de qualidade de carne de bovinos Nelore, visando obter informações que possam ser incorporadas aos programas de melhoramento genético animal com finalidade de aumentar os índices de produtividade e qualidade da carne bovina produzida no país. Os dados utilizados no estudo são oriundo de três programas de melhoramento genético, DeltaGen, Paint e Nelore Qualitas. Para a característica de precocidade sexual, foram utilizados registros de 55.945 fêmeas com pesagem pós desmama, e nascidas no período de 1993 a 2012. Para obter os..