Estimation of genetic variability level in inbred CF1 mouse lines selected for body weight

2014 ◽  
Vol 93 (2) ◽  
pp. 483-487 ◽  
Author(s):  
MAURICIO RENNY ◽  
NORMA B. JULIO ◽  
SANDRA F. BERNARDI ◽  
CRISTINA N. GARDENAL ◽  
MARÍA INÉS OYARZABAL
2021 ◽  
Author(s):  
Fatima Amer-Sarsour ◽  
Rawan Abu Saleh ◽  
Itzhak Ofek ◽  
Fuad A. Iraqi

The non-dialyzable material (NDM) of polyphenol-rich cranberry extract (CRE) powder (NDM-CRE) was studied for its effect of inducing body weight (BW) loss in 13 different mouse lines with well-defined genetically diverse backgrounds, named the collaborative cross (CC).


2013 ◽  
Vol 48 (8) ◽  
pp. 968-974 ◽  
Author(s):  
Rodrigo Maggioni ◽  
Maria Raquel Moura Coimbra ◽  
Raimundo Bezerra da Costa ◽  
Fábio Mendonça Diniz ◽  
Wagner Franco Molina ◽  
...  

The objective of this work was to estimate the genetic variability level and distribution in Brazilian broodstocks of marine shrimp (Litopenaeus vannamei). Nine of the country's largest hatcheries were evaluated using codominant and highly polymorphic microsatellite markers. The results obtained from genotyping of ten microsatellite loci are indicative of genetic variability that is compatible with that found in wild populations of L. vannamei in Mexico and Central America. A possible explanation is the highly diversified and relatively recent origin of the available broodstocks. Bayesian analysis detected a signal for five founding populations. The distribution of genetic distances partially reflects geographical location, and this information will be useful for the creation of new broodstocks. Therefore, L. vannamei genetic variability among nine of the largest national hatcheries can be considered high.


1995 ◽  
Vol 65 (2) ◽  
pp. 145-149 ◽  
Author(s):  
Armando Caballero ◽  
Peter D. Keightley ◽  
William G. Hill

SummaryThe variation from spontaneous mutations for 6-week body weight in the mouse was estimated by selection from a cross of two inbred sublines, C57BL/6 and C57BL/10, separated about 50 years previously from the same inbred line. Selection was practised high and low for 12 generations from theF2, followed by one generation of relaxation. The lines diverged by approximately 1·7 g or 0·7 sd. The additive genetic variance was estimated in theF2by restricted maximum likelihood and from the selection response, and from this variance the mutational heritabilityhM2was estimated using the number of generations since divergence. Estimates ofhM2range from 0·08 to 0·10% depending on the method of analysis. These estimates are similar to those found for other species, but lower than other estimates for the mouse. It is concluded that substantial natural and, perhaps, artificial selection operated during the maintenance of the sublines.


1958 ◽  
Vol 9 (4) ◽  
pp. 599 ◽  
Author(s):  
FHW Morley

Records were analysed of 500-day production, egg weight, 11-week and mature body weight, sex maturity, and broodiness of the crossbred progeny of inbred lines of Australorps mated to White Leghorns, and inbred lines of White Leghorns mated to Australorps. Clear differences between lines of both breeds mere found in most characters, indicating the presence of potentially useful amounts of additive genetic variation. Non-additive genetic variation was also found to be present in varying degrees in different characters. Because of the difficulties of developing and maintaining inbred stocks of poultry, and the importance of sex-linked characteristics in some commercial environments, a scheme is proposed which may enable heterosis to be exploited without the use of inbred material. The basis of this scheme is the combination of the White Leghorn sex chromosome, with varying proportions of Australorp and White Leghorn autosomes, in a new breed. Assuming that the heterosis observed in the F1 is due to elimination of certain biochemical blocks determined by recessive genes, the formation of the new breed should enable the methods of closed flock breeding to be used in material at a higher level of production, and likely to contain more genetic variability, than either parent breed.


2009 ◽  
Vol 88 (6) ◽  
pp. 1156-1161 ◽  
Author(s):  
A. Wolc ◽  
I.M.S White ◽  
S. Avendano ◽  
W.G. Hill

PLoS ONE ◽  
2017 ◽  
Vol 12 (12) ◽  
pp. e0189943 ◽  
Author(s):  
Delphine Lallias ◽  
Edwige Quillet ◽  
Marie-Laure Bégout ◽  
Benoit Aupérin ◽  
Hooi Ling Khaw ◽  
...  

2010 ◽  
Vol 99 (5) ◽  
pp. 627-631 ◽  
Author(s):  
Mariusz Sacharczuk ◽  
Bogdan Sadowski ◽  
Kazimierz Jaszczak ◽  
Andrzej W. Lipkowski ◽  
Artur H. Swiergiel

2004 ◽  
Vol 20 (5) ◽  
pp. 443-446 ◽  
Author(s):  
I. N. Vagyna ◽  
L. M. Morozova ◽  
O. A. Kovaleva ◽  
T. T. Glazko

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