This page describes a signal of selection found in the
Angola An. coluzzii populationusing the IHS (Cite et al. 20XX) statistic.The focus of this signal is on chromosome arm
2R between positions 33,940,000 and
34,440,000.
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 32 genes overlap the focal region: AGAP003212 (Adrenodoxin), AGAP003213 (nijmegen breakage syndrome protein 1), AGAP003214, AGAP003215 (26S proteasome regulatory subunit T2), AGAP003216 (26S proteasome regulatory subunit T2), AGAP003217 (mRpS6 - 28S ribosomal protein S6, mitochondrial), AGAP003218, AGAP003219, AGAP003220, AGAP003221 (ABCC3 - ATP-binding cassette transporter (ABC transporter) family C member 3), AGAP003222 (phosphatidylinositol glycan, class N), AGAP003224, AGAP003225, AGAP003226 (dynein heavy chain 2), AGAP003227 (nucleoside-diphosphate kinase), AGAP003228 (histone acetyltransferase type B subunit 2), AGAP003229, AGAP003230 (poly (ADP-ribose) polymerase), AGAP0032311 (NADH dehydrogenase (ubiquinone) iron-sulfur protein 7, mitochondrial), AGAP003232 (splicing factor 4), AGAP0133041, AGAP0032331, AGAP003235 (lachesin), AGAP003236, AGAP003237 (tubulin, alpha 1), AGAP003238 (N-myc downstream regulated), AGAP003239 (meiotic chromosome segregation protein), AGAP003240 (Protein jagunal), AGAP003241, AGAP003242 (RNA polymerase-associated protein LEO1), AGAP003243, AGAP003244 (GPRGHP2 - putative growth hormone releasing hormone receptor 2).
The following 15 genes are within 50 kbp of the focal region: AGAP003208 (solute carrier family 25, member 44), AGAP0032091 (C-4 methylsterol oxidase), AGAP003211, AGAP003245 (CLIPA19 - CLIP-domain serine protease), AGAP003246 (CLIPB2 - CLIP-domain serine protease), AGAP003247 (CLIPB19 - CLIP-domain serine protease), AGAP003248, AGAP013487, AGAP003249 (CLIPB3 - CLIP-domain serine protease), AGAP003250 (CLIPB4 - CLIP-domain serine protease), AGAP003251 (CLIPB1 - CLIP-domain serine protease), AGAP003252 (CLIPB6 - CLIP-domain serine protease), AGAP013184 (CLIPB36 - CLIP-domain serine protease), AGAP003253 (Gr15 - gustatory receptor 15), AGAP003254 (Gr16 - gustatory receptor 16).
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/AOM/2/7 | H12 | Angola An. coluzzii | 2R:34,040,000-34,220,000 | 222 | 96.1% | nan |
H12/BFS/2/6 | H12 | Burkina Faso An. gambiae | 2R:34,420,000-34,460,000 | 114 | 92.9% | nan |
XPEHH/AOM.BFM/2/7 | XPEHH | Angola An. coluzzii | 2R:34,320,000-34,440,000 | 108 | 86.9% | nan |
XPEHH/BFS.UGS/2/5 | XPEHH | Burkina Faso An. gambiae | 2R:34,420,000-34,480,000 | 95 | 96.7% | nan |
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 = 78
# data points = 373
# variables = 4
chi-square = 80.937
reduced chi-square = 0.219
Akaike info crit = -561.909
Bayesian info crit = -546.222
[[Variables]]
center: 0 (fixed)
amplitude: 1.48777673 +/- 0.090539 (6.09%) (init= 3)
sigma: 1.02675162 +/- 0.082145 (8.00%) (init= 0.5)
skew: -0.84473510 +/- 0.091140 (10.79%) (init= 0)
baseline: 2.37067481 +/- 0.031211 (1.32%) (init= 1)
ceiling: 100 (fixed)
floor: 0 (fixed)
[[Correlations]] (unreported correlations are < 0.100)
C(sigma, skew) = 0.481
C(sigma, baseline) = -0.411
C(amplitude, sigma) = -0.351
C(amplitude, baseline) = -0.229
Null model:
[[Model]]
Model(constant)
[[Fit Statistics]]
# function evals = 11
# data points = 372
# variables = 1
chi-square = 145.014
reduced chi-square = 0.391
Akaike info crit = -348.448
Bayesian info crit = -344.529
[[Variables]]
c: 2.61272388 +/- 0.032414 (1.24%) (init= 1)