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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

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