Looking for adaptive footprints in the HSP90AA1 ovine gene

Salces-Ortiz, Judit; González, Carmen; Martínez, Marta; Mayoral, Tomás; Calvo, Jorge H; Serrano, M Magdalena

doi:10.1186/s12862-015-0280-x

BMC Ecology and Evolution

Table 8 Sheep breeds, locations, countries and continents of origin and climatic and geographic variables

From: Looking for adaptive footprints in the HSP90AA1 ovine gene

Breed	ID breed	Location	Country	Continent	N	Lat	LON	MINaT	MAXaT	MThm	ANT	TW	TAR	MxR	MiR	HrA	HrMx	HrMi	THI	CTY
Akkaraman	AKA	Konya	Turkey	Asia	23	37.60	32.30	-0.20	23.10	30.10	11.50	23.30	315	41	4	60	80	40	22.02	SA
Kazakh Arkhar-Merino	ARME	Alma Ata	Kazakhstan	Asia	18	43.45	77.04	-6.10	23.60	29.40	9.10	29.70	653	107	26	62	77	45	22.52	SD
Assaf	AS	Haifa	Israel	Asia	30	31.86	35.21	14.00	29.90	40.00	20.70	13.40	534	148	0	68	72	60	28.36	SD
Awassi	AW	Haifa	Israel	Asia	30	31.86	35.21	14.00	27.40	40.00	20.70	13.40	534	148	0	68	72	60	26.11	SD
Bajdarak	BAJ	Irkutsk	Russia	Asia	22	51.83	107.43	-18.80	17.50	34.00	0.00	36.30	468	120	9	75	86	58	17.26	SA
Bni Guil	BNI	Fez	Morocco	Africa	27	33.56	4.59	9.60	27.10	35.80	17.80	17.50	537	85	1	67	79	56	25.80	SD
Boujaad	BOUJ	Marrakech	Morocco	Africa	24	32.86	-6.96	12.20	28.30	39.00	19.60	16.10	282	41	1	58	66	47	26.49	SA
Bozakh	BOZ	Kirovabad	Azerbaijan	Asia	24	40.53	46.02	2.70	25.10	30.90	13.90	22.40	294	51	11	65	78	53	23.94	SA
Caucasian	CAUC	Astrakan	Russia	Asia	25	45.71	42.88	-5.50	25.20	30.60	10.00	30.70	216	25	10	70	86	54	24.20	A
Churra	Ch	León	Spain	Europe	23	42.58	-5.65	3.10	19.60	37.00	10.90	16.50	555	70	24	68	83	55	19.08	SD
Churra Lebrijana	Cl	Jerez	Spain	Europe	26	36.75	-6.06	10.70	25.70	38.00	17.70	15.00	587	109	2	67	79	54	24.54	SD
Churra Tensina	Ct	Huesca	Spain	Europe	33	42.08	-0.33	4.90	23.40	37.00	13.60	18.50	534	62	20	63	81	48	22.37	SD
Daglic	DGL	Eskisehir	Turkey	Asia	24	38.50	30.30	-0.10	21.40	28.60	11.10	21.50	388	51	9	70	84	59	20.75	SA
Kazakh Edilbai	EDIL	Aktjubinsk	Kazakhstan	Asia	30	52.32	77.03	-14.10	22.40	39.00	4.70	36.50	311	33	19	66	82	50	21.56	SA
Ivesi	IV	Diyarbakir	Turkey	Asia	15	37.50	40.10	1.50	31.00	38.10	14.90	29.50	498	76	1	55	77	29	28.68	SA
Russian Karakul	KAR	Astradan	Russia	Asia	15	45.37	46.04	-5.50	25.20	42.00	10.00	30.70	216	25	10	70	86	54	24.20	A
Moldavian Karakul	KARM	Kisinev	Moldavia	Europe	15	46.93	28.75	-3.30	20.90	37.00	9.60	24.20	547	75	27	73	86	62	20.36	SD
Karabakh	KRB	Kirovabad	Azerbaijan	Asia	24	39.82	46.70	-0.40	23.60	38.00	11.90	24.00	294	51	11	65	78	53	22.60	SA
Karachai	KRC	Krasnojarsk	Azerbaijan	Asia	28	43.04	44.21	-16.00	18.20	37.00	0.80	34.20	450	79	12	68	76	53	17.82	SA
Karayaka	KRY	Samsun	Turkey	Asia	22	41.20	36.20	6.90	22.70	26.20	14.30	15.80	692	89	29	72	79	65	21.98	SD
Kivircik	KVR	Bursa	Turkey	Asia	16	40.10	29.00	5.20	24.10	30.30	14.40	18.90	706	118	16	72	78	62	23.26	SD
Finnsheep	L	Jyvaskyla	Finland	Europe	30	62.31	27.17	-10.00	15.70	20.80	2.60	25.70	640	91	30	80	91	65	15.62	SD
Latxa	LX	Vitoria	Spain	Europe	41	42.88	-2.73	4.70	19.10	30.00	11.40	14.40	782	89	42	75	84	71	18.74	SD
D’Man	MAN	Ouarzazate	Morocco	Africa	26	30.93	-6.90	9.30	29.50	40.00	18.90	20.20	110	19	1	41	64	22	26.74	A
Spanish Merino	ME	Cáceres	Spain	Europe	29	39.29	-6.22	8.20	25.60	39.00	16.00	17.40	488	65	4	57	76	35	24.11	SA
Manchega	MNCH	Albacete	Spain	Europe	60	38.95	-1.85	5.00	24.10	38.00	13.50	19.10	367	52	9	63	79	44	22.99	SA
Olkuska	OL	Cracovia	Poland	Europe	30	49.78	21.34	-2.90	19.30	30.00	8.60	22.20	679	95	33	80	87	72	19.00	SD
Pramenka	PRAM	Belgrado	Servia	Europe	29	44.74	20.44	0.50	21.70	28.30	11.80	21.20	694	95	42	69	82	60	21.00	SD
Rasa Aragonesa	RA	Zaragoza	Spain	Europe	42	41.66	-1.01	6.20	24.30	35.00	14.60	18.10	314	38	15	65	77	53	23.23	SA
Sakiz	SZ	Izmir	Chios	Asia	26	38.30	27.10	8.60	22.50	32.70	17.70	18.90	693	153	4	62	72	49	21.55	SD
Valle del Belice	VdB	Palermo	Italy	Europe	29	37.69	13.02	11.60	25.40	30.20	18.20	13.80	654	106	5	69	75	63	24.34	SD

N: number of animals; LAT = latitude; LON = longitude; MAXaT = maximum average temperature; MThm = maximum temperature of the hottest month; MINaT = minimum average temperature; ANT = average annual temperature; TW (MAXaT-MINaT) = thermal width; TAR = total annual rainfall;; MxR = maximum rainfall; MiR = minimum rainfall; HrA = relative average annual humidity (%);HrMx = maximum relative humidity (%);HrMi = minimum relative humidity (%);THI = Temperature Humidity Index THI = T°C – (0.31-0.31RH)x(T°C-14.4) [22], T = temperature in °C, RH = relative humidity in %/100. THI < 22.2 = absence heat stress; 22.2 > THI < 23.3 = moderate heat stress; 23.3 > THI < 25.6 = severe heat stress; 25.6 > THI = extreme severe heat stress; CTY = climate type (arid A = 0-250 mm; semi arid SA = 250-500 mm; semi damp SD = 500-1000 mm; damp D = 1000-2000 mm; very damp VD= > 2000 mm).

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ISSN: 2730-7182

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