Genetic linkage map of chicken chromosome 1 from a Brazilian resource population

Nones, Kátia; Ledur, Mônica Corrêa; Ruy, Deborah Clea; Baron, Erica Elias; Moura, Ana Silvia Alves Meira Tavares; Coutinho, Luiz Lehmann

doi:10.1590/s0103-90162005000100003

Cited by 13 publications

(10 citation statements)

References 8 publications

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“…In our study, the TCTC map for GGA1 was reanalyzed using 31 microsatellite markers and showed a total length of 491.1 cM, with 13.7 cM average distance between adjacent loci. Two inversions were observed, comparing the results shown here with those from Nones et al (2005): between MCW0208 and MCW0010 and between ADL0183 and LEI0106. However, those authors did not employ the ALL function in the CRI-MAP software; they used the TWOPOINT, BUILD, FLIPS2, and CHROMPIC functions, which could be an explanation for the differences.…”

Section: Discussionsupporting

confidence: 58%

“…For the TCTC population, Nones et al (2005) had already constructed a 464.1 cM linkage map for GGA1, using 26 microsatellite markers, with an average distance between adjacent loci of 15.0 cM. In our study, the TCTC map for GGA1 was reanalyzed using 31 microsatellite markers and showed a total length of 491.1 cM, with 13.7 cM average distance between adjacent loci.…”

Section: Discussionmentioning

confidence: 91%

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Precision of distances and ordering of microsatellite markers in consensus linkage maps of chromosomes 1, 3 and 4 from two reciprocal chicken populations using bootstrap sampling

Rosário¹,

Margarido²,

Boschiero³

et al. 2010

Genet. Mol. Res.

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ABSTRACT. Some factors complicate comparisons between linkage maps from different studies. This problem can be resolved if measures of precision, such as confidence intervals and frequency distributions, are associated with markers. We examined the precision of distances and ordering of microsatellite markers in the consensus linkage maps of chromosomes 1, 3 and 4 from two F 2 reciprocal Brazilian chicken populations, using bootstrap sampling. Single and consensus maps were constructed. The consensus map was compared with the International Consensus Linkage Map and with the whole genome sequence. Some loci showed segregation distortion and missing data, but this did not affect the analyses negatively. Several inversions and position shifts were detected, based on 95% confidence intervals and frequency distributions of loci. Some discrepancies in distances between loci and in ordering were due to chance, whereas others could be attributed to other effects, including reciprocal crosses, sampling error of the founder animals from the two populations, F 2 population structure, number of and distance between microsatellite markers, number of informative meioses, loci segregation patterns, and sex. In the Brazilian consensus GGA1, locus LEI1038 was in a position closer to the true genome sequence than in the International Consensus Map, whereas for GGA3 and GGA4, no such differences were found. Extending these analyses to the remaining chromosomes should facilitate comparisons and the integration of several available genetic maps, allowing meta-analyses for map construction and quantitative trait loci (QTL) mapping. The precision of the estimates of QTL positions and their effects would be increased with such information.

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Section: Discussionsupporting

confidence: 58%

Section: Discussionmentioning

confidence: 91%

Precision of distances and ordering of microsatellite markers in consensus linkage maps of chromosomes 1, 3 and 4 from two reciprocal chicken populations using bootstrap sampling

Rosário¹,

Margarido²,

Boschiero³

et al. 2010

Genet. Mol. Res.

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“…Linkage maps were constructed using the crimap software (Green et al. 1990) and details were presented by Nones et al. (2005) and Ambo et al.…”

Section: Methodsmentioning

confidence: 99%

Quantitative trait loci associated with fatness in a broiler–layer cross

Campos¹,

Nones²,

Ledur

et al. 2009

Animal Genetics

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An F(2) population established by crossing a broiler male line and a layer line was used to map quantitative trait loci (QTL) affecting abdominal fat weight, abdominal fat percentage and serum cholesterol and triglyceride concentrations. Two genetic models, the line-cross and the half-sib, were applied in the QTL analysis, both using the regression interval method. Three significant QTL and four suggestive QTL were mapped in the line-cross analysis and four significant and four suggestive QTL were mapped in the half-sib analysis. A total of five QTL were mapped for abdominal fat weight, six for abdominal fat percentage and four for triglyceride concentration in both analyses. New QTL associated with serum triglyceride concentration were mapped on GGA5, GGA23 and GG27. QTL mapped between markers LEI0029 and ADL0371 on GGA3 for abdominal fat percentage and abdominal fat weight and a suggestive QTL on GGA12 for abdominal fat percentage showed significant parent-of-origin effects. Some QTL mapped here match QTL regions mapped in previous studies using different populations, suggesting good candidate regions for fine-mapping and candidate gene searches.

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“…Each male was mated to three unrelated females selected randomly to generate 21 F 1 families, with approximately 100 chicks per family, in 17 incubations, totalizing 2,063 F 2 animals. The construction of the genetic linkage map of chromosomes 6, 7, 8, 11 and 13, used the five informative families indicated in a previous selective genotyping study of chromosomes 1 to 5 in this population (Baron, 2004;Nones et al, 2005;Ruy et al, 2005). TT was selected for various generations for growth related traits, such as body weight, whereas CC was selected for egg production traits .…”

Section: Experimental Populationmentioning

confidence: 99%

Genetic linkage maps of chicken chromosomes 6, 7, 8, 11 and 13 from a Brazilian resource population

Ambo

Campos

Moura

et al. 2008

Sci. agric. (Piracicaba, Braz.)

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A linkage map is essential not only for quantitative trait loci (QTL) mapping, but also for the organization and location of genes along the chromosomes. The present study is part of a project whose major objective is, besides from construction the linkage maps, the whole genome scan for mapping QTL for performance traits in the Brazilian experimental chicken population. Linkage maps of chicken chromosomes 6 to 8, 11 and 13 were constructed based on this population. The population was developed from two generations of crossbreeding between a broiler and a layer line. Fifty-one microsatellite markers were tested, from which 28 were informative: 4, 8, 7, 4 and 5 for chromosomes 6, 7, 8, 11 and 13, respectively. A SNP located in the leptin receptor gene was included for chromosome 8. Ten parental, 8 F 1 and 459 F 2 chickens from five full-sib families were genotyped with these markers. The number of total informative meioses per locus varied from 232 to 862, and the number of phaseknown informative meioses from 0 to 764. Marker orders in the chromosomes coincided with those of the chicken consensus map, except for markers ADL0147 and MCW0213, on chromosome 13, which were inverted. The reduced number of phase-known informative meioses for ADL0147 (150) may be pointed out as a possible cause for this inversion, apart from the relative short distance between the two markers involved in the inversion (10.5 cM).

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Genetic linkage map of chicken chromosome 1 from a Brazilian resource population

Cited by 13 publications

References 8 publications

Precision of distances and ordering of microsatellite markers in consensus linkage maps of chromosomes 1, 3 and 4 from two reciprocal chicken populations using bootstrap sampling

Precision of distances and ordering of microsatellite markers in consensus linkage maps of chromosomes 1, 3 and 4 from two reciprocal chicken populations using bootstrap sampling

Quantitative trait loci associated with fatness in a broiler–layer cross

Genetic linkage maps of chicken chromosomes 6, 7, 8, 11 and 13 from a Brazilian resource population

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