Quantitative trait locus (QTL) analysis of wood quality traits in Eucalyptus nitens

2009 ◽  
Vol 6 (2) ◽  
pp. 305-317 ◽  
Author(s):  
Bala R. Thumma ◽  
Simon G. Southerton ◽  
John C. Bell ◽  
John V. Owen ◽  
Martin L. Henery ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Qtl Analysis ◽  
Quantitative Trait ◽  
Wood Quality ◽  
Quality Traits ◽  
Eucalyptus Nitens ◽  
Trait Locus

Quantitative trait locus (QTL) analysis of growth and vegetative propagation traits in Eucalyptus nitens full-sib families

2010 ◽  
Vol 6 (6) ◽  
pp. 877-889 ◽  
Author(s):  
Bala R. Thumma ◽  
Brian S. Baltunis ◽  
John C. Bell ◽  
Livinus C. Emebiri ◽  
Gavin F. Moran ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Qtl Analysis ◽  
Vegetative Propagation ◽  
Quantitative Trait ◽  
Eucalyptus Nitens ◽  
Sib Families ◽  
Trait Locus

scholarly journals Limited genetic parallels underlie convergent evolution of quantitative pattern variation in mimetic butterflies

2020 ◽  
Author(s):  
Hannah E. Bainbridge ◽  
Melanie N. Brien ◽  
Carlos Morochz ◽  
Patricio A. Salazar ◽  
Pasi Rastas ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Qtl Analysis ◽  
Quantitative Trait ◽  
Convergent Evolution ◽  
Genetic Basis ◽  
Major Effect ◽  
Multivariate Approach ◽  
Trait Variation ◽  
Heliconius Melpomene ◽  
Trait Locus

AbstractMimetic systems allow us to address the question of whether the same genes control similar phenotypes in different species. Although widespread parallels have been found for major effect loci, much less is known about genes that control quantitative trait variation. In this study, we identify and compare the loci that control subtle changes in the size and shape of forewing pattern elements in two Heliconius butterfly co-mimics. We use quantitative trait locus (QTL) analysis with a multivariate phenotyping approach to map the variation in red pattern elements across the whole forewing surface of Heliconius erato and Heliconius melpomene. These results are compared to a QTL analysis of univariate trait changes, and show that our resolution for identifying small effect loci is improved with the multivariate approach. QTL likely corresponding to the known patterning gene optix were found in both species but otherwise, a remarkably low level of genetic parallelism was found. This lack of similarity indicates that the genetic basis of convergent traits may not be as predictable as assumed from studies that focus solely on Mendelian traits.

scholarly journals Quantitative Trait Locus Analysis in Avocado: The Challenge of a Slow-maturing Horticultural Tree Crop

2019 ◽  
Vol 144 (5) ◽  
pp. 352-362
Author(s):  
Vanessa E.T.M. Ashworth ◽  
Haofeng Chen ◽  
Carlos L. Calderón-Vázquez ◽  
Mary Lu Arpaia ◽  
David N. Kuhn ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Linkage Group ◽  
Linkage Map ◽  
Qtl Analysis ◽  
Quantitative Trait ◽  
Persea Americana ◽  
Phenotypic Traits ◽  
Experimental Population ◽  
Tree Crop ◽  
Trait Locus

The glossy, green-fleshed fruit of the avocado (Persea americana) has been the object of human selection for thousands of years. Recent interest in healthy nutrition has singled out the avocado as an excellent source of several phytonutrients. Yet as a sizeable, slow-maturing tree crop, it has been largely neglected by genetic studies, owing to a long breeding cycle and costly field trials. We use a small, replicated experimental population of 50 progeny, grown at two locations in two successive years, to explore the feasibility of developing a dense genetic linkage map and to implement quantitative trait locus (QTL) analysis for seven phenotypic traits. Additionally, we test the utility of candidate-gene single-nucleotide polymorphisms developed to genes from biosynthetic pathways of phytonutrients beneficial to human health. The resulting linkage map consisted of 1346 markers (1044.7 cM) distributed across 12 linkage groups. Numerous markers on Linkage Group 10 were associated with a QTL for flowering type. One marker on Linkage Group 1 tracked a QTL for β-sitosterol content of the fruit. A region on Linkage Group 3 tracked vitamin E (α-tocopherol) content of the fruit, and several markers were stable across both locations and study years. We argue that the pursuit of linkage mapping and QTL analysis is worthwhile, even when population size is small.

Quantitative trait locus mapping for meat quality traits in an Iberian × Landrace F2 pig population1

2002 ◽  
Vol 80 (11) ◽  
pp. 2801-2808 ◽  
Author(s):  
C. Ovilo ◽  
A. Clop ◽  
J. L. Noguera ◽  
M. A. Oliver ◽  
C. Barragán ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Meat Quality ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Trait Locus ◽  
Locus Mapping

Meat quality traits were unaffected by a quantitative trait locus affecting leg composition traits in Texel sheep1

2005 ◽  
Vol 83 (12) ◽  
pp. 2729-2735 ◽  
Author(s):  
P. L. Johnson ◽  
J. C. McEwan ◽  
K. G. Dodds ◽  
R. W. Purchas ◽  
H. T. Blair
Keyword(s):  
Quantitative Trait Locus ◽  
Meat Quality ◽  
Quantitative Trait ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Trait Locus

scholarly journals A haplotypic approach to founder-origin probabilities and outbred QTL analysis

2002 ◽  
Vol 80 (3) ◽  
pp. 231-236 ◽  
Author(s):  
M. HUMBERTO REYES-VALDÉS ◽  
CLAIRE G. WILLIAMS
Keyword(s):  
Quantitative Trait Locus ◽  
Linkage Group ◽  
Qtl Analysis ◽  
Quantitative Trait ◽  
Close Approximation ◽  
Marker Type ◽  
Individual Offspring ◽  
Trait Locus ◽  
Probability Methods ◽  
Marker Information

Founder-origin probability methods are used to trace specific chromosomal segments in individual offspring. A haplotypic method was developed for calculating founder-origin probabilities in three-generation outbred pedigrees suited to quantitative trait locus (QTL) analysis. Estimators for expected founder-origin proportions were derived for a linkage group segment, an entire linkage group and a complete haplotype. If the founders are truly outbred, the haplotypic method gives a close approximation when compared with the Haley et al. (1994) method that simultaneously uses all marker information for QTL analysis, and it is less computationally demanding. The chief limitation of the haplotypic method is that some information in two-allele intercross marker-type configurations is ignored. Informativeness of marker arrays is discussed in the framework of founder-origin probabilities and proportions. The haplotypic method can be extended to more complex pedigrees with additional generations.

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