Quantitative trait loci affecting lactose and total solids on chromosome 6 in Brazilian Gir dairy cattle

Silva, A A; Azevedo, Ana Luisa Sousa; Gasparini, Karla; Verneque, R.S.; Peixoto, Maria Gabriela Campolina Diniz; Panetto, B R; Guimarães, Simone Eliza Facioni; Machado, M. A.

doi:10.4238/2011.october.31.15

Genet. Mol. Res.

2011

DOI: 10.4238/2011.october.31.15

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Quantitative trait loci affecting lactose and total solids on chromosome 6 in Brazilian Gir dairy cattle

A A Silva

Ana Luisa Sousa Azevedo

Karla Gasparini³

et al.

Abstract: ABSTRACT. Fourteen Brazilian Gir sire families with 657 daughters were analyzed for quantitative trait loci (QTL) on chromosome 6 affecting lactose and total solids. Cows and sires were genotyped with 27 microsatellites with a mean spacing between markers of 4.9 cM. We used a 1% chromosome-wide threshold for QTL qualification. A QTL for lactose yield was found close to marker MNB66 in three families. A QTL for total solid yield was identified close to marker BMS2508 in three families. A QTL for lactose percent… Show more

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Cited by 2 publications

References 27 publications

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Analysis of Liver Proteome and Identification of Critical Proteins Affecting Milk Fat, Protein, and Lactose Metabolism in Dariy Cattle with iTRAQ

Shi

Liu³

et al. 2019

Proteomics

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In this study, the proteomes of liver tissues are investigated in three periods of the lactation cycle of Holstein cows by using isobaric tag for relative and absolute quantification (iTRAQ) technique to obtain liver proteome and identify functional proteins/genes involved in milk synthesis in dairy cattle. Based on iTRAQ analysis, 3252 proteins are detected in the liver tissues (false discovery rate ࣘ0.01). Thirty-two differently expressed proteins (DEPs) are identified during the three periods by p-value <0.05 and fold change (FC) ࣙ2 or ࣘ0.5, and 183 DEPs based on p-value <0.05 and FC ࣙ1.5 or ࣘ0.67. In addition, 905 DEPs are obtained across the three periods by p-value <0.05 and FC ࣙ1.2, or ࣘ0.83, and the subsequent GO and KEGG pathway functional analysis indicate that 73 DEPs are significantly enriched into the metabolic terms and pathways involved in milk synthesis such as citrate cycle, fatty acid, starch and sucrose metabolism, and mTOR and PPAR signaling pathways. Further, 41 out of 73 DEPs are identified near to both the peak locations of the reported quantitative trait locus and significant single nucleotide polymorphisms that associate with milk yield and composition traits. In addition, the 41 DEPs are analyzed with the previous liver transcriptome data that used the same samples as this study, and considered nine proteins/genes-ALDH18A1, APOA4, CYP7A1, HADHB, PRKACA, IDH2, LDHA, LDHB, and MAT2A-to be the promising candidates for milk fat, protein, and lactose synthesis in dairy cattle. This study provides a new vision for identifying the potential critical genes associated with milk synthesis of dairy cattle.

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Analysis of Liver Proteome and Identification of Critical Proteins Affecting Milk Fat, Protein, and Lactose Metabolism in Dariy Cattle with iTRAQ

Shi

Liu³

et al. 2019

Proteomics

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show abstract

Chi-square processes for gene mapping in a population with family structure

et al. 2016

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Detecting a Quantitative Trait Locus, so-called QTL (a gene influencing a quantitative trait which is able to be measured), on a given chromosome is a major problem in Genetics. We study a population structured in families and we assume that the QTL location is the same for all the families. We consider the likelihood ratio test (LRT) process related to the test of the absence of QTL on the interval [0, T ] representing a chromosome. We give the asymptotic distribution of the LRT process under the null hypothesis that there is no QTL in any families and under local alternative with a QTL at t ∈ [0, T ] in at least one family. We show that the LRT is asymptotically the supremum of the sum of the square of independent interpolated Gaussian processes. The number of processes corresponds to the number of families. We propose several new methods to compute critical values for QTL detection. Since all these methods rely on asymptotic results, the validity of the asymptotic assumption is checked using simulated data. Finally we show how to optimize the QTL detecting process.

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Quantitative trait loci affecting lactose and total solids on chromosome 6 in Brazilian Gir dairy cattle

Cited by 2 publications

References 27 publications

Analysis of Liver Proteome and Identification of Critical Proteins Affecting Milk Fat, Protein, and Lactose Metabolism in Dariy Cattle with iTRAQ

Analysis of Liver Proteome and Identification of Critical Proteins Affecting Milk Fat, Protein, and Lactose Metabolism in Dariy Cattle with iTRAQ

Chi-square processes for gene mapping in a population with family structure

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