Host specialisation and disparate evolution of Pyrenophora teres f. teres on barley and barley grass

Linde, Celeste C.; Smith, Leon M.

doi:10.1186/s12862-019-1446-8

BMC Ecology and Evolution

Table 1 Microsatellite diversity of Pyrenophora teres f. teres populations from barley and barley grass

From: Host specialisation and disparate evolution of Pyrenophora teres f. teres on barley and barley grass

								I_A (P value)		\( \overline{r} \)_d (P value)
Population	N	Origin	MLG	eMLG	SE	H	E.5	Not cc ^a	cc ^b	Not cc ^a	cc ^b
Barley
Keel-45	40	SA	38	9.88	0.33	3.62	0.97	0.23 (0.027)	0.19 (0.036)	0.01 (0.027)	0.01 (0.036)
Keel-55	36	SA	34	9.86	0.36	3.51	0.97	0.50 (0.001)	0.35 (0.002)	0.03 (0.001)	0.02 (0.002)
Keel-63	34	SA	29	9.43	0.71	3.28	0.86	0.92 (0.001)	0.53 (0.003)	0.06 (0.001)	0.03 (0.003)
Keel-64	28	SA	27	9.88	0.32	3.28	0.98	1.18 (0.001)	1.19 (0.001)	0.08 (0.001)	0.08 (0.001)
Maritime-46	40	SA	30	9.14	0.84	3.27	0.82	0.89 (0.001)	0.47 (0.001)	0.06 (0.001)	0.03 (0.001)
Maritime-47	38	SA	32	9.57	0.61	3.40	0.92	0.41 (0.002)	0.22 (0.040)	0.03 (0.002)	0.01 (0.040)
Maritime-48	40	SA	31	9.07	0.90	3.27	0.75	0.47 (0.001)	0.25 (0.035)	0.03 (0.001)	0.02 (0.035)
Maritime-56	40	SA	35	9.67	0.55	3.50	0.92	0.66 (0.001)	0.48 (0.001)	0.04 (0.001)	0.03 (0.001)
Maritime-57	39	SA	39	10.00	0.00	3.66	1.00	0.61 (0.001)	0.61 (0.001)	0.04 (0.001)	0.04 (0.001)
Maritime-58	37	SA	37	10.00	0.00	3.61	1.00	0.39 (0.001)	0.39 (0.002)	0.02 (0.002)	0.02 (0.002)
NSW	21	NSW	21	10.00	0.00	3.04	1.00	1.32 (0.001)	1.32 (0.001)	0.08 (0.001)	0.08 (0.001)
Old_SA	24	SA	22	9.67	0.51	3.06	0.96	1.39 (0.001)	1.23 (0.001)	0.09 (0.001)	0.08 (0.001)
Qld	31	Qld	30	9.90	0.30	3.39	0.98	1.09 (0.001)	0.86 (0.001)	0.07 (0.001)	0.05 (0.001)
SA_GP	14	SA	12	9.01	0.66	2.44	0.94	2.31 (0.001)	1.85 (0.001)	0.15 (0.001)	0.12 (0.001)
SA_PV_B	35	SA	35	10.00	0.00	3.56	1.00	0.93 (0.001)	0.89 (0.001)	0.06 (0.001)	0.06 (0.001)
SA09	13	SA	13	10.00	0.00	2.56	1.00	2.82 (0.001)	2.82 (0.001)	0.18 (0.001)	0.18 (0.001)
Vic	11	Vic	11	10.00	0.00	2.40	1.00	0.76 (0.001)	0.76 (0.001)	0.05 (0.001)	0.05 (0.001)
WA	46	WA	46	10.00	0.00	3.83	1.00	0.11 (0.464)	0.11 (0.464)	0.01 (0.464)	0.01 (0.464)
*Barley Total*	*567*		*506*	*276.24*	*3.59*	*6.15*	*0.82*	*1.00* *(0.001)*	*0.88 (0.001)*	*0.06 (0.001)*	*0.06 (0.001)*
BG_Barm	28	NSW	27	9.88	0.32	3.28	0.98	−0.04 (0.643)	−0.08 (0.806)	0.00 (0.643)	−0.01 (0.806)
BG_Fin	27	NSW	26	9.87	0.33	3.24	0.98	0.02 (0.39)	−0.02 (0.564)	0.00 (0.39)	0.00 (0.564)
BG_Kat	42	WA	36	9.69	0.52	3.54	0.95	0.05 (0.438)	0.04 (0.545)	0.01 (0.438)	0.01 (0.545)
BG_Nar	57	NSW	42	9.48	0.67	3.64	0.89	0.36 (0.001)	0.16 (0.210)	0.04 (0.001)	0.16 (0.210)
BG_SA_DOW	49	SA	49	10.00	0.00	3.89	1.00	0.61 (0.001)	0.61 (0.001)	0.04 (0.001)	0.04 (0.001)
BG_SA_PV	17	SA	16	9.67	0.47	2.75	0.97	2.25 (0.001)	2.15 (0.001)	0.16 (0.001)	0.16 (0.001)
BG_Tem	10	NSW	8	8.00	0.00	1.97	0.85	0.78 (0.003)	−0.15 (0.704)	0.08 (0.003)	−0.02 (0.704)
BG_WW_GR	38	NSW	34	9.74	0.47	3.49	0.95	0.04 (0.519)	0.05 (0.516)	0.00 (0.519)	0.00 (0.516)
BG_WW_MR	30	NSW	29	9.90	0.30	3.35	0.98	0.08 (0.310)	0.06 (0.345)	0.01 (0.310)	0.01 (0.345)
*Barley grass Total*	*298*		*266*	*266.00*	*0.00*	*5.54*	*0.94*	*0.58 (0.001)*	*0.54 (0.001)*	*0.04 (0.001)*	*0.04 (0.001)*

SA South Australia, NSW New South Wales, Vic Victoria, WA Western Australia, Qld Queensland
N = Number of Ptt isolates analysed
eMLG = The number of expected MLGs at the smallest sample size based on rarefaction [22] with standard error (SE)
H = Shannon-Wiener Index of MLG diversity [23]
E.5 = Evenness, ie equitability in the distribution of the sampling units [23, 24]
Linkage disequilibrium indices \( \overline{r} \)_d [25] and the index of association (I_A) [26]
^aNot cc = non-clone corrected data set
^bcc = clone corrected data set

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