Identification of quantitative trait loci associated with egg quality, egg production, and body weight in an F2 resource population of chickens1

2006 ◽  
Vol 37 (2) ◽  
pp. 106-112 ◽  
Author(s):  
M. A. Schreiweis ◽  
P. Y. Hester ◽  
P. Settar ◽  
D. E. Moody
2021 ◽  
Vol 70 (1) ◽  

Баркова О.Ю. КЛЮЧЕВЫЕ СЛОВА: ЛОКУСЫ КОЛИЧЕСТВЕННЫХ ПРИЗНАКОВ (QTL), ОДНОНУКЛЕОТИДНЫЙ ПОЛИМОРФИЗМ (SNP), КУРЫ, КАЧЕСТВО ЯИЦ, МАССА СКОРЛУПЫ, ПРОЧНОСТЬ СКОРЛУПЫ Рассмотрены последние данные исследований молекулярной генетики кур, которые могут способствовать повышению яичной продуктивности птицы отечественной селекции. Современные технологии селекции используют ДНК-маркеры, которые помогают идентифицировать локусы количественных признаков (QTL), связанные с признаками яйценоскости. Маркерная селекция может значительно ускорить процесс селекции птицы по хозяйственно-полезным признакам. Идентификация многочисленных однонуклеотидных полиморфизмов (SNP) в геномах животных, прогресс в области высокопроизводительного секвенирования, разработка вычислительных методов анализа данных SNP, выполняемых с помощью массивов высокой плотности, позволили использовать их в геномном картографировании генов-кандидатов. В данной работе проанализированы литературные данные, полученные при помощи полногеномного поиска ассоциаций (GWAS) для отбора QTL и генов-кандидатов, влияющих на яйценоскость, массу, прочность и толщину яичной скорлупы для дальнейшего создания системы QTL, отвечающей за яичную продуктивность кур-несушек и качество яиц. OVERVIEW OF SIGNIFICANT QUANTITATIVE TRAIT LOCI ASSOCIATED WITH EGGSHELL QUALITY IN CHICKEN BARKOVA O.YU.1 1 Federal Scientific Center for Animal Husbandry of L.K. Ernst The recent data on molecular genetics of chicken are reviewed which can contribute to the improvement of egg productivity in domestically selected chicken. Current selection strategies involve DNA markers to identify quantitative traits loci (QTL) associated with egg productivity; marker assisted techniques can significantly accelerate the selection for economically valuable traits. The identification of numerous single-nucleotide polymorphisms (SNP) in animal genomes, progress in high-performance sequencing, and the development of computational methods for analysis of SNP data using high-density arrays have allowed for the use of SNP in genomic mapping of candidate genes. In the study presented the published data of the genome-wide association studies (GWAS) aimed at the identification of QTL and candidate genes which affect egg production, weight, thickness and strength of the eggshell in chicken are reviewed; these data will be used for further development of the QTL system responsible for egg production and quality traits in laying hens. Keywords: QUANTITATIVE TRAIT LOCI, SINGLE-NUCLEOTIDE POLYMORPHISM, CHICKEN, EGG QUALITY, EGGSHELL WEIGHT, EGGSHELL STRENGTH


2004 ◽  
Vol 35 (3) ◽  
pp. 188-194 ◽  
Author(s):  
O. Sasaki ◽  
S. Odawara ◽  
H. Takahashi ◽  
K. Nirasawa ◽  
Y. Oyamada ◽  
...  

Genetics ◽  
1999 ◽  
Vol 152 (2) ◽  
pp. 699-711 ◽  
Author(s):  
D E Moody ◽  
D Pomp ◽  
M K Nielsen ◽  
L D Van Vleck

Abstract Energy balance is a complex trait with relevance to the study of human obesity and maintenance energy requirements of livestock. The objective of this study was to identify, using unique mouse models, quantitative trait loci (QTL) influencing traits that contribute to variation in energy balance. Two F2 resource populations were created from lines of mice differing in heat loss measured by direct calorimetry as an indicator of energy expenditure. The HB F2 resource population originated from a cross between a noninbred line selected for high heat loss and an inbred line with low heat loss. Evidence for significant QTL influencing heat loss was found on chromosomes 1, 2, 3, and 7. Significant QTL influencing body weight and percentage gonadal fat, brown fat, liver, and heart were also identified. The LH F2 resource population originated from noninbred lines of mice that had undergone divergent selection for heat loss. Chromosomes 1 and 3 were evaluated. The QTL for heat loss identified on chromosome 1 in the HB population was confirmed in the LH population, although the effect was smaller. The presence of a QTL influencing 6-wk weight was also confirmed. Suggestive evidence for additional QTL influencing heat loss, percentage subcutaneous fat, and percentage heart was found for chromosome 1.


2000 ◽  
Vol 11 (10) ◽  
pp. 824-830 ◽  
Author(s):  
Akira Ishikawa ◽  
Yoichi Matsuda ◽  
Takao Namikawa

2003 ◽  
Vol 81 (12) ◽  
pp. 2938-2949 ◽  
Author(s):  
S. Sato ◽  
Y. Oyamada ◽  
K. Atsuji ◽  
T. Nade ◽  
Shin-ichi Sato ◽  
...  

1997 ◽  
Vol 70 (2) ◽  
pp. 117-124 ◽  
Author(s):  
KELLIE A. RANCE ◽  
WILLIAM G. HILL ◽  
PETER D. KEIGHTLEY

Evidence of a large sex-linked effect accounting for 25% of the divergence between mouse lines selected for body weight has been described previously. A marker-based study was undertaken to determine the number and map positions of the putative X-linked quantitative trait loci (QTLs). An F2 population was generated from a reciprocal F1 between an inbred low line derived from the low selection line and the high selection line. To enable inference of marker-associated QTL effects on the X chromosome, an analytical technique was developed based on the multiple regression method of Haley and Knott. The analysis of data on 10 week weight indicated a single QTL of large effect situated at about 23 cM from the proximal end of the chromosome, with a peak LOD score of 24·4. The likelihood curve showed a single well-defined peak, and gave a 95% confidence interval for the QTL location of 8 cM. The estimates for the additive genotypic effects in males and females (half the differences between hemizygous males and between homozygous females) were 2·6 g in both cases, or 17% and 20% of the 10 week body weight in males and females respectively. Dominance effects in the females were found to be non-significant. No significant X-linked effect on carcass fat percentage was detected, but a single X-linked QTL appears to explain almost the entire X-linked body weight effect.


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