Biology Reference
In-Depth Information
Group II
Group X
U15-8
386.37
14.9
6.6
8.4
14.4
1.1
7.5
30.1
321-.74f
438-.62
U15-.511
444-.87
324-.64f
N6-.51f
31.7
536-109f
D16-.57
308-.27
6.8
23.5
16.2
23.5
H7-.51
361-.34
L12-.63f
456-.38
N11-.33, Y18-2.0
F8-1.04
301-.55
P13-.67f
S15-.16
16.2
D8-.3f, S9-1.0
388-76f
14.3
1.2
12.0
11.5
8.0
15.4
1.1
2.1
pln1
14.9
5.0
15.1
1.7
10.7
7.8
3.5
T14-2.14
E15-.47
T20-.84
312-1.13f
R20-.865, 484-.86
C9-63
Q9-.34h
331-.855
239-.96f
pln2
W5-136f
S15-.87
1.4
2.1
LOD: 2.0
3.0
LOD: 2.0
3.0
Figure 6.3.
Genomic maps for two pollen-hoarding QTLs. h e traces to the right of
linkage groups map the regions of the genome according to the statistical
probabilities that there are QTLs located in those regions. h e LOD scores
(Logarithm of Odds) are log-likelihood values. h e higher the value, the more likely
it is that the region contains a QTL. From Hunt et al. 1995, “Major quantitative trait
loci af ecting honey bee foraging behavior,”
Ge ne tics
141:1537-1545, Fig. 2.
6.3 Verii cation of Quantitative Trait Loci
In QTL mapping, nothing should be considered real until it is indepen-
dently verii ed. h is is good practice in all the sciences, but especially in
mapping QTLs for behavior, where we regularly read about a new gene
“for” X, Y, or Z today, and then the next year someone publishes that he
or she was unable to coni rm it. We decided to coni rm our pollen-
hoarding QTLs independently by looking at the foraging behavior of
individuals.
We mated a hybrid queen, derived from a i t h-generation cross, to a
high-strain drone by instrumental insemination (Figure 6.4). h e
drone contributed identical genomes to all the workers in the colony
because he was haploid and did not have recombination when he was
