What effect would an increase in population size likely have on the linkage map?
What effect would including additional marker data have on the linkage map?
Solution
Ans: a) According to Burr and Burr (1991), the choice of the population type for genetic
mapping might have important consequences concerning the efficiency and utility of the genetic
information. Hanson (1959) and Liu (1998) demonstrate that a given population size affects the
power to detect linkage as well as the estimate and accuracy of the recombination frequency. i.e.,
Increased populations can exert an influence on the accuracy of genetic maps. As the accuracy of
a genetic linkage map was heavily influenced by population size a more robust, high-density
genetic linkage map with adequate genetic information for QTL analysis is possible.
The higher the number of individuals, the more precise would be the map
Choice of population size happens due to the excessive work and costs associated with
phenotyping and genotyping in large populations.
When the main focus is the detection of QTL, the size of the mapped population may be
determined by the gene effect to be detected as well as the type of population.
The resolution of the mapped QTL depends more on the size of the mapped population and less
on to the effect of the QTL.
Ans b: Construction of linkage maps is crucial for genetic studies and marker-assisted breeding
programs. Recent advances in next generation sequencing technologies allow for the generation
of high-density linkage maps, especially in non-model species lacking extensive genomic
resources.
With the used of additional marker data on the linkage map, a more number of highly densed
linkage maps can be constructed. Therefore, the linkage map (also known as a genetic map) that
shows the position of its known genes or genetic markers relative to each other in terms of
recombination frequency, rather than a specific physical distance along each chromosome. Ie.,
Genetic maps help researchers to locate other markers, such as other genes by testing for genetic
linkage of the already known marker
Higher resolution maps, with more markers, must be generated and such high-resolution maps
will provide researchers with a range of recombination frequencies across a 1–2-cM interval, and
thus, at best, researchers could expect to predict an upper and lower range of N, not the precise
number. To improve the robustness (reproducibility) of R-map frequencies, genetic maps must
be generated based on sampling hundreds to thousands of progeny rather than only 100–200
individuals..
What effect would an increase in population size likely have on the .pdf
1. What effect would an increase in population size likely have on the linkage map?
What effect would including additional marker data have on the linkage map?
Solution
Ans: a) According to Burr and Burr (1991), the choice of the population type for genetic
mapping might have important consequences concerning the efficiency and utility of the genetic
information. Hanson (1959) and Liu (1998) demonstrate that a given population size affects the
power to detect linkage as well as the estimate and accuracy of the recombination frequency. i.e.,
Increased populations can exert an influence on the accuracy of genetic maps. As the accuracy of
a genetic linkage map was heavily influenced by population size a more robust, high-density
genetic linkage map with adequate genetic information for QTL analysis is possible.
The higher the number of individuals, the more precise would be the map
Choice of population size happens due to the excessive work and costs associated with
phenotyping and genotyping in large populations.
When the main focus is the detection of QTL, the size of the mapped population may be
determined by the gene effect to be detected as well as the type of population.
The resolution of the mapped QTL depends more on the size of the mapped population and less
on to the effect of the QTL.
Ans b: Construction of linkage maps is crucial for genetic studies and marker-assisted breeding
programs. Recent advances in next generation sequencing technologies allow for the generation
of high-density linkage maps, especially in non-model species lacking extensive genomic
resources.
With the used of additional marker data on the linkage map, a more number of highly densed
linkage maps can be constructed. Therefore, the linkage map (also known as a genetic map) that
shows the position of its known genes or genetic markers relative to each other in terms of
recombination frequency, rather than a specific physical distance along each chromosome. Ie.,
Genetic maps help researchers to locate other markers, such as other genes by testing for genetic
linkage of the already known marker
Higher resolution maps, with more markers, must be generated and such high-resolution maps
will provide researchers with a range of recombination frequencies across a 1–2-cM interval, and
thus, at best, researchers could expect to predict an upper and lower range of N, not the precise
number. To improve the robustness (reproducibility) of R-map frequencies, genetic maps must
be generated based on sampling hundreds to thousands of progeny rather than only 100–200
individuals.
