Quantitative trait loci (QTL) mapping for growth traits on bovine chromosome 14

Miyata, Masanobu; Gasparin, G.; Coutinho, Luiz Lehmann; Martinez, M. L.; Machado, M. A.; Silva, Marcos Vinícius Gualberto Barbosa da; Campos, Ana Lúcia; Sonstegard, Tad S.; Rosário, Millor Fernandes do; Regitano, Luciana Correia de Almeida

doi:10.1590/s1415-47572007000300011

Cited by 3 publications

(1 citation statement)

References 25 publications

(24 reference statements)

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“…The study of Silva et al (2008) intended to map and detect QTLs in chromosome 4 of swine, and associate these with the carcass and characteristics of internal organs in an F2 population. Miyata et al (2007) investigated the presence of QTLs in BTA14 chromosomes, by weight at birth and after 60 days, also in an F2 experimental station. Soares et al (2008) also aimed to detect QTLs related to protein content in soybean cultivated in two divergent tropical environments, thereby constructing a genetic map of genotypes adapted to tropical conditions.…”

Section: Introductionmentioning

confidence: 99%

Comparison between simulated annealing algorithms and rapid chain delineation in the construction of genetic maps

et al. 2010

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The efficiency of simulated annealing algorithms and rapid chain delineation in establishing the best linkage order, when constructing genetic maps, was evaluated. Linkage refers to the phenomenon by which two or more genes, or even more molecular markers, can be present in the same chromosome or linkage group. In order to evaluate the capacity of algorithms, four F2 co-dominant populations, 50, 100, 200 and 1000 in size, were simulated. For each population, a genome with four linkage groups (100 cM) was generated. The linkage groups possessed 51, 21, 11 and 6 marks, respectively, and a corresponding distance of 2, 5, 10 and 20 cM between adjacent marks, thereby causing various degrees of saturation. For very saturated groups, with an adjacent distance between marks of 2 cM and in greater number, i.e., 51, the method based upon stochastic simulation by simulated annealing presented orders with distances equivalent to or lower than rapid chain delineation. Otherwise, the two methods were commensurate through presenting the same SARF distance.

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Section: Introductionmentioning

confidence: 99%

Comparison between simulated annealing algorithms and rapid chain delineation in the construction of genetic maps

et al. 2010

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Progresso científico em melhoramento animal no Brasil na primeira década do século XXI

Lôbo¹,

Bittnecourt

Pinto

2010

R. Bras. Zootec.

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O Brasil é um dos lideres mundiais em produção de animais de interesse zootécnico. Porém, para manter este status, precisa investir grandemente em pesquisas que visem aumentar a produtividade animal. No âmbito do melhoramento genético animal, o Brasil conta com muitos grupos que desenvolvem estudos de grande interesse nesta área. São estudos que vão desde os clássicos trabalhos de estimativas de componentes de variância e parâmetros genéticos, passando por trabalhos de modelagem estatística até chegar aos trabalhos mais recentes envolvendo genética molecular aplicada ao melhoramento animal. Assim, a presente revisão tem por objetivo sumarizar os caminhos pelo qual o melhoramento genético animal no Brasil trilhou ao longo da primeira década do século 21, os quais podem indicar os avanços obtidos e os novos desafios.

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Genome Assembly Anchored QTL Map of Bovine Chromosome 14

Wibowo¹,

Gaskins²,

Newberry³

et al. 2008

Int. J. Biol. Sci.

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Bovine chromosome 14 (BTA14) has been widely explored for quantitative trait loci (QTL) and genes related to economically important traits in both dairy and beef cattle. We reviewed more than 40 investigations and anchored 126 QTL to the current genome assembly (Btau 4_0). Using this anchored QTL map, we observed that, in dairy cattle, the region spanning 0 -10 Mb on BTA14 has the highest density QTL map with a total of 56 QTL, mainly for milk production traits. It is very likely that both somatic cell score (SCS) and clinical mastitis share some common QTL in two regions: 61.48 Mb -73.84 Mb and 7.86 Mb -39.55 Mb, respectively. As well, both ovulation rate and twinning rate might share a common QTL region from 34.16 Mb to 65.38 Mb. However, there are no common QTL locations in three pregnancy related phenotypes: non-return rate, pregnancy rate and daughter pregnancy rate. In beef cattle, the majority of QTL are located in a broad region of 15 Mb -45 Mb on the chromosome. Functional genes, such as CRH, CYP11B1, DGAT1, FABP4 and TG, as potential candidates for some of these QTL, were also reviewed. Therefore, our review provides a standardized QTL map anchored within the current genome assembly, which would enhance the process of selecting positional and physiological candidate genes for many important traits in cattle.

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Quantitative trait loci (QTL) mapping for growth traits on bovine chromosome 14

Cited by 3 publications

References 25 publications

Comparison between simulated annealing algorithms and rapid chain delineation in the construction of genetic maps

Comparison between simulated annealing algorithms and rapid chain delineation in the construction of genetic maps

Progresso científico em melhoramento animal no Brasil na primeira década do século XXI

Genome Assembly Anchored QTL Map of Bovine Chromosome 14

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