This page describes a signal of selection found in the
Angola An. coluzzii population
when compared with the Guinea Bissau population
using the XPEHH (Cite et al. 20XX) statistic.The focus of this signal is on chromosome arm
X between positions 14,500,000 and
15,180,000.
The evidence supporting this signal is
moderate ( >= 50 on both flanks).
Signal location. Blue markers show the values of the selection statistic. The dashed black line shows the fitted peak model. The shaded red area shows the focus of the selection signal. The shaded blue area shows the genomic region in linkage with the selection event. Use the mouse wheel or the controls at the top right of the plot to zoom in, and hover over genes to see gene names and descriptions.
The following 23 genes overlap the focal region: AGAP000795, AGAP000797 (E3 ubiquitin-protein ligase HECW2), AGAP0007982 (GLURIIc - ionotropic receptor GLURIIc), AGAP0008012 (GLURIIb - ionotropic receptor GLURIIb), AGAP0008032 (GLURIIa - ionotropic receptor GLURIIa), AGAP0008041 (GPXH2 - glutathione peroxidase 2), AGAP000805 (BTB/POZ domain-containing protein KCTD16), AGAP000806 (Angiopoietin-like 1), AGAP000807 (helix-loop-helix transcription factor), AGAP000808 (DNA damage-regulated autophagy modulator protein 2), AGAP013022, AGAP000809 (Proteasome 26S non-ATPase subunit 10), AGAP000810, AGAP000812 (calcium binding protein), AGAP0008131 (Frataxin homolog, mitochondrial), AGAP000814, AGAP000815 (INTB - integrin beta subunit), AGAP000817, AGAP000816, AGAP013474, AGAP013173, AGAP013424, AGAP012997.
Gene AGAP013289 is within 50 kbp of the focal region.
Key to insecticide resistance candidate gene types: 1 metabolic; 2 target-site; 3 behavioural; 4 cuticular.
The following selection signals have a focus which overlaps with the focus of this signal.
Signal | Statistic | Population | Focus | Peak model ![]() |
Max. percentile | Known locus |
---|---|---|---|---|---|---|
H12/BFM/X/1 | H12 | Burkina Faso An. coluzzii | X:15,100,000-15,300,000 | 1,267 | 100.0% | Cyp9k1 |
XPEHH/BFS.UGS/X/1 | XPEHH | Burkina Faso An. gambiae | X:14,960,000-15,140,000 | 961 | 99.9% | nan |
XPEHH/BFS.GWA/X/1 | XPEHH | Burkina Faso An. gambiae | X:15,060,000-15,220,000 | 866 | 99.6% | Cyp9k1 |
XPEHH/BFM.GWA/X/1 | XPEHH | Burkina Faso An. coluzzii | X:15,060,000-15,260,000 | 852 | 99.4% | Cyp9k1 |
H12/BFS/X/1 | H12 | Burkina Faso An. gambiae | X:15,100,000-15,240,000 | 815 | 98.5% | Cyp9k1 |
IHS/UGS/X/1 | IHS | Uganda An. gambiae | X:14,640,000-15,360,000 | 517 | 96.7% | Cyp9k1 |
XPEHH/BFM.AOM/X/1 | XPEHH | Burkina Faso An. coluzzii | X:15,040,000-15,180,000 | 511 | 100.0% | nan |
IHS/BFM/X/1 | IHS | Burkina Faso An. coluzzii | X:14,760,000-15,620,000 | 501 | 100.0% | Cyp9k1 |
IHS/BFS/X/2 | IHS | Burkina Faso An. gambiae | X:14,660,000-14,980,000 | 477 | 99.9% | nan |
H12/GNS/X/1 | H12 | Guinea An. gambiae | X:14,960,000-15,160,000 | 419 | 97.8% | nan |
H12/UGS/X/1 | H12 | Uganda An. gambiae | X:15,160,000-15,480,000 | 348 | 94.9% | Cyp9k1 |
XPEHH/GAS.GWA/X/1 | XPEHH | Gabon An. gambiae | X:14,460,000-14,860,000 | 301 | 98.5% | nan |
H12/AOM/X/2 | H12 | Angola An. coluzzii | X:14,500,000-14,600,000 | 243 | 96.4% | nan |
XPEHH/UGS.BFS/X/1 | XPEHH | Uganda An. gambiae | X:14,960,000-15,320,000 | 204 | 89.8% | Cyp9k1 |
The information below provides some diagnostics from the Peak modelling algorithm.
Selection signal in context. @@TODO
Peak targetting. @@TODO
Peak fitting diagnostics. @@TODO
Peak model:
[[Model]]
Model(skewed_gaussian)
[[Fit Statistics]]
# function evals = 43
# data points = 284
# variables = 4
chi-square = 76.455
reduced chi-square = 0.273
Akaike info crit = -364.685
Bayesian info crit = -350.089
[[Variables]]
center: 0 (fixed)
amplitude: 1.87459608 +/- 0.110516 (5.90%) (init= 3)
sigma: 0.87876423 +/- 0.062564 (7.12%) (init= 0.5)
skew: 0.47873986 +/- 0.073299 (15.31%) (init= 0)
baseline: 1.98835963 +/- 0.041953 (2.11%) (init= 1)
ceiling: 100 (fixed)
floor: 0 (fixed)
[[Correlations]] (unreported correlations are < 0.100)
C(amplitude, sigma) = -0.445
C(sigma, baseline) = -0.409
C(sigma, skew) = -0.276
C(amplitude, baseline) = -0.259
Null model:
[[Model]]
Model(constant)
[[Fit Statistics]]
# function evals = 11
# data points = 283
# variables = 1
chi-square = 173.512
reduced chi-square = 0.615
Akaike info crit = -136.443
Bayesian info crit = -132.798
[[Variables]]
c: 2.40555630 +/- 0.046627 (1.94%) (init= 1)