| Literature DB >> 36140758 |
Long Tong1,2,3, Cunbao Zhao2, Jinhui Liu2, Limei Yang2, Mu Zhuang2, Yangyong Zhang2, Yong Wang2, Jialei Ji2, Bifeng Kuang3, Kelan Tang3, Zhiyuan Fang1,2,3, Ryo Fujimoto4, Honghao Lv2.
Abstract
Cabbage (Brassica oleracea var. capitata) Fusarium wilt (CFW) is a disease that poses a critical threat to global cabbage production. Screening for resistant resources in order to support the breeding of resistant cultivars is the most reliable approach to control this disease. CFW is caused by Fusarium oxysporum f. sp. conglutinans (Foc), which consists of two physiological races (race 1 and 2). While many studies have focused on resistance screening, gene mining, and inheritance-based research associated with resistance to Foc race 1, there have been few studies specifically analyzing resistance to Foc race 2, which is a potential threat that can overcome type A resistance. Here, 166 cabbage resources collected from around the world were evaluated for the resistance to both Foc races, with 46.99% and 38.55% of these cabbage lines being resistant to Foc race 1 and race 2, respectively, whereas 33.74% and 48.80% were susceptible to these two respective races. Of these 166 analyzed cabbage lines, 114 (68.67%) were found to be more susceptible to race 2 than to race 1, and 28 of them were resistant to race 1 while susceptible to race 2, underscoring the highly aggressive nature of Foc race 2. To analyze the inheritance of Foc race 2 resistance, segregated populations derived from the resistant parental line 'Badger Inbred 16' and the susceptible one '01-20' were analyzed with a major gene plus polygene mixed genetic model. The results of this analysis revealed Foc race 2-specific resistance to be under the control of two pairs of additive-dominant-epistatic major genes plus multiple additive-dominant-epistatic genes (model E). The heritability of these major genes in the BC1P1, BC1P2, and F2 generations were 32.14%, 72.80%, and 70.64%, respectively. In summary, these results may aid in future gene mining and breeding of novel CFW-resistant cabbage cultivars.Entities:
Keywords: Fusarium wilt; cabbage; genetic analysis; race 2; resistance identification
Mesh:
Year: 2022 PMID: 36140758 PMCID: PMC9498596 DOI: 10.3390/genes13091590
Source DB: PubMed Journal: Genes (Basel) ISSN: 2073-4425 Impact factor: 4.141
Figure 1The disease grades of leaves and resistance performance of different materials. (a) Disease degrades of levels. 0: no symptoms; 1: slight yellowing of one leaf; 2: moderate yellowing of 1–2 leaves; 3: severe yellowing or wilting of at least half of leaves; 4: severe yellowing or wilting of all leaves other than the core leaves; 5: severe yellowing or wilting of all leaves, or plant death. (b-i) resistance performance of different materials to race 2. (b) ‘BI-16’ (resistant control). (c) ‘HB1186’. (d) ‘21-3’. (e) ‘YF’. (f) ‘23202’. (g) ‘01-20’ (susceptible control). (h) ‘XQ’. (i) ‘01-88’. (j–l) The same materials were resistant to race 1 while susceptible to race 2. (j) ‘JTM’. (k) ‘CF3’. (l) ‘MYF’.
Figure 2Proportion of resistance levels of different cabbage materials to Foc. (a,b) represent the proportion of materials with different resistance to Foc race 1 and 2. HR = highly resistant; R = resistant; MR = moderately resistant; S = susceptible; HS = highly susceptible.
The relationship between genotypes and resistance.
| Race 1 | Race 2 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Number of | Percentage of Plants (%) | Number of | Percentage of Plants (%) | ||||||||||
| Classification | Highly | Resistant | Moderately | Susceptible | Highly | Highly | Resistant | Moderately | Susceptible | Highly | |||
| Geographic | China | 18 | 5.56 | 22.22 | 27.78 | 16.67 | 27.78 | 18 | 5.56 | 5.56 | 11.11 | 22.22 | 55.56 |
| Asia except China | 107 | 42.06 | 13.08 | 17.76 | 14.95 | 12.15 | 107 | 35.51 | 12.15 | 11.21 | 12.15 | 28.97 | |
| North America | 12 | 41.67 | 8.33 | 16.67 | 8.33 | 25.00 | 12 | 33.33 | 8.33 | 8.33 | 16.67 | 33.33 | |
| Europe | 29 | 20.69 | 6.90 | 20.69 | 27.59 | 24.14 | 29 | 6.90 | 13.79 | 20.69 | 10.34 | 48.28 | |
| Planting season | Spring | 43 | 23.26 | 4.65 | 27.91 | 20.93 | 23.26 | 43 | 11.63 | 6.98 | 13.95 | 20.93 | 46.51 |
| Autumn | 90 | 40.00 | 14.44 | 15.56 | 14.44 | 15.56 | 90 | 32.22 | 11.11 | 12.22 | 12.22 | 32.22 | |
| Overwintering | 33 | 33.33 | 18.18 | 18.18 | 18.18 | 12.12 | 33 | 33.33 | 18.18 | 12.12 | 6.06 | 30.30 | |
| Maturity | Early maturity | 53 | 39.62 | 7.55 | 20.75 | 13.21 | 18.87 | 53 | 24.53 | 11.32 | 11.32 | 11.32 | 41.51 |
| Mid-early maturity | 38 | 34.21 | 10.53 | 18.42 | 18.42 | 18.42 | 38 | 28.95 | 10.53 | 13.16 | 18.42 | 28.95 | |
| Medium maturity | 9 | 55.56 | 11.11 | 22.22 | 11.11 | 0.00 | 9 | 33.33 | 33.33 | 11.11 | 11.11 | 11.11 | |
| Mid-late maturity | 12 | 25.00 | 0.00 | 25.00 | 25.00 | 25.00 | 12 | 25.00 | 0.00 | 16.67 | 16.67 | 41.67 | |
| Late maturity | 54 | 27.78 | 22.22 | 16.67 | 20.37 | 12.96 | 54 | 27.78 | 11.11 | 12.96 | 11.11 | 37.04 | |
| Head shape | Flat | 59 | 28.81 | 18.64 | 22.03 | 16.95 | 13.56 | 59 | 28.81 | 11.86 | 13.56 | 13.56 | 32.20 |
| Round | 107 | 37.38 | 9.35 | 17.76 | 17.76 | 17.76 | 107 | 26.17 | 11.21 | 12.15 | 13.08 | 37.38 | |
| Leaf color | Grey | 7 | 71.43 | 0.00 | 0.00 | 0.00 | 28.57 | 7 | 57.14 | 14.29 | 0.00 | 0.00 | 28.57 |
| Gray green | 67 | 33.33 | 15.79 | 21.05 | 17.54 | 12.28 | 67 | 29.82 | 12.28 | 12.28 | 33.33 | 12.28 | |
| Green | 64 | 28.13 | 17.19 | 17.19 | 17.19 | 20.31 | 64 | 18.75 | 14.06 | 15.63 | 14.06 | 37.50 | |
| Dark green | 38 | 39.47 | 2.63 | 23.68 | 18.42 | 15.79 | 38 | 31.58 | 5.26 | 10.53 | 10.53 | 42.11 | |
Frequency distribution of CFW resistance levels in segregated populations derived from ‘BI-16’ and ‘01-20’.
| Generation | Number | Frequency Distribution of FW Disease Rating in Each Population | Mean | |||||
|---|---|---|---|---|---|---|---|---|
| Level 0 | Level 1 | Level 2 | Level 3 | Level 4 | Level 5 | |||
| P1 (BI-16) | 15 | 15 | 0 | 0 | 0 | 0 | 0 | 0.00 |
| P2 (01-20) | 15 | 0 | 0 | 0 | 1 | 6 | 8 | 92.00 |
| F1 (BI-16 × 01-20) | 22 | 4 | 6 | 5 | 6 | 0 | 1 | 35.45 |
| BC1P1 (BI-16 × 01-20 × BI-16) | 150 | 74 | 39 | 15 | 13 | 2 | 7 | 20.13 |
| BC1P2 (BI-16 × 01-20 × 01-20) | 178 | 36 | 17 | 31 | 24 | 13 | 57 | 54.83 |
| F2 (BI-16 × 01-20) ⊗ | 201 | 49 | 34 | 25 | 34 | 19 | 40 | 45.97 |
Figure 3Frequency distribution of the CFW resistance in BC1P1, BC1P2, and F2. (a) BC1P1, (b) BC1P2, and (c) F2 populations of ‘BI-16’ × ‘01-20’.
The estimation of the maximum likelihood values and AIC values of the genetic model.
| Model | Implication of Model | Maximum Likelihood Value | AIC |
|---|---|---|---|
| A-1 | 1 MG-AD | −1073.03 | 2154.06 |
| A-2 | 1 MG-A | −1110.42 | 2226.84 |
| A-3 | 1 MG-EAD | −1082.03 | 2170.05 |
| A-4 | 1 MG-AEND | −1156.68 | 2319.36 |
| B-1 | 2MG-AD1 | −1023.43 | 2066.86 |
| B-2 | 2MG-AD | −1070.37 | 2152.73 |
| B-3 | 2MG-A | −1165.04 | 2338.08 |
| B-4 | 2MG-EA | −1123.04 | 2252.09 |
| B-5 | 2MG-AED | −1081.75 | 2171.50 |
| B-6 | 2MG-EEAD | −1105.63 | 2217.25 |
| C | PG-ADI | −1101.32 | 2222.63 |
| C-1 | PG-AD | −1106.42 | 2226.85 |
| D | MX1-AD-ADI | −1103.08 | 2230.17 |
| D-1 | MX1-AD-AD | −1096.19 | 2210.38 |
| D-2 | MX1-A-AD | −1096.19 | 2196.55 |
| D-3 | MX1-EAD-AD | −1081.53 | 2179.06 |
| D-4 | MX1-AEND-AD | −1101.55 | 2219.10 |
| E * | MX2-ADI-ADI | −988.78 | 2013.56 |
| E-1 * | MX2-ADI-AD | −1009.09 | 2048.19 |
| E-2 | MX2-AD-AD | −1055.47 | 2132.94 |
| E-3 * | MX2-A-AD | −1013.12 | 2044.25 |
| E-4 | MX2-EAED-AD | −1106.06 | 2228.11 |
| E-5 | MX2-AED-AD | −1054.71 | 2127.42 |
Note: * represents the candidate model selected based on their smaller AIC values. MG: Major gene model; PG: Polygene model; MX: Mixed major gene and polygene model; A: Additive effect; D: Dominant effect; E: Equal. I: Interaction (epistasis); N: Negative.
Tests for goodness of fit model of CFW resistance in segregated generations.
| Model | Generation |
|
|
| nW2 | Dn |
|---|---|---|---|---|---|---|
| E | P1 | 0.00 (1.00) | 1.17 (0.28) | 18.75 (0.00) * | 1.05 (<0.05) * | 0.40 (<0.05) * |
| P2 | 0.05 (0.83) | 1.40 (0.24) | 30.82 (0.00) * | 0.45 (>0.05) | 0.26 (>0.05) | |
| F1 | 0.09 (0.76) | 0.34 (0.56) | 1.35 (0.25) | 0.15 (>0.05) | 0.26 (>0.05) | |
| BC1P1 | 5.03 (0.02) * | 5.12 (0.02) * | 0.13 (0.72) | 2.02 (<0.05) * | 0.21 (<0.05) * | |
| BC1P2 | 3.51 (0.06) | 1.84 (0.17) | 3.33 (0.07) | 1.21 (<0.05) * | 0.08 (>0.05) | |
| F2 | 3.30 (0.07) | 4.03 (0.04) * | 0.99 (0.32) | 0.86 (<0.05) * | 0.67 (>0.05) | |
| E-1 | P1 | 12.95 (0.00) * | 13.19 (0.00) * | 0.35 (0.55) | 2.13 (<0.05) * | 0.67 (<0.05) * |
| P2 | 4.55 (0.03) * | 0.54 (0.46) | 28.27 (0.00) * | 0.79 (<0.05) * | 0.34 (>0.05) | |
| F1 | 1.81 (0.18) | 1.41 (0.23) | 0.21 (0.65) | 0.25 (>0.05) | 0.26 (>0.05) | |
| BC1P1 | 0.21 (0.65) | 0.78 (0.38) | 3.14 (0.08) | 1.62 (<0.05) * | 0.15 (<0.05) * | |
| BC1P2 | 2.54 (0.11) | 1.47 (0.23) | 1.76 (0.19) | 0.99 (<0.05) * | 0.07 (<0.05) * | |
| F2 | 0.15 (0.70) | 0.01 (0.92) | 1.29 (0.26) | 0.47 (>0.05) | 0.03 (<0.05) * | |
| E-3 | P1 | 17.55 (1.00) | 14.99 (0.00) * | 0.54 (0.46) | 2.51 (<0.05) * | 0.71 (<0.05) * |
| P2 | 6.04 (0.01) * | 1.18 (0.28) | 26.75 (0.00) * | 0.89 (<0.05) * | 0.34 (>0.05) | |
| F1 | 2.04 (0.15) | 1.70 (0.19) | 0.11 (0.75) | 0.27 (>0.05) | 0.26 (>0.05) | |
| BC1P1 | 0.09 (0.76) | 0.47 (0.49) | 2.50 (0.11) | 1.59 (<0.05) * | 0.15 (>0.05) | |
| BC1P2 | 2.64 (0.10) | 1.38 (0.24) | 2.57 (0.11) | 0.99 (<0.05) * | 0.07 (<0.05) * | |
| F2 | 6.21 (0.01) * | 5.08 (0.02) * | 0.41 (0.52) | 1.12 (<0.05) * | 0.08 (<0.05) * |
Note: , and represents the statistics of the uniformity test; nW2 represents the statistic of the Smirnov test; Dn represents the statistic of the Kolmogorov test. The probability of , and is presented in parentheses; the threshold limit of nW2 at the 0.05 level is 0.461; * indicates significance at the 0.05 level.
The estimation of genetic parameters of fit a model of CFW resistance.
| First-Order | Estimate | Second-Order Parameter | Estimate | ||
|---|---|---|---|---|---|
| B1 | B2 | F2 | |||
| m1 | 2.08 | σmg2 | 0.58 | 2.67 | 2.40 |
| m2 | 3.00 | σpg2 | 0.89 | 0.66 | 0.66 |
| m3 | 1.74 | σp2 | 1.81 | 3.66 | 3.39 |
| m4 | 2.54 | σe2 | 0.33 | 0.33 | 0.33 |
| m5 | 2.02 | hmg2 | 32.14 | 72.80 | 70.64 |
| m6 | 1.96 | hpg2 | 49.47 | 18.13 | 19.57 |
| da | −1.25 | 1 − (hmg2 + hpg2) | 18.38 | 9.07 | 9.79 |
| db | −1.15 | ||||
| ha | −0.78 | ||||
| hb | 0.29 | ||||
| ha/da | 0.62 | ||||
| hb/db | −0.26 | ||||
| i | 0.32 | ||||
| jab | −1.07 | ||||
| jba | 0.98 | ||||
| l | 2.12 | ||||
Note: The subscripts a and b refer to two major genes; m: population mean; da: additive effect of the first major gene; db: additive effect of the second major gene; ha: dominant effect of the first major gene; hb: dominant effect of the second major gene; i: epistatic effect value of additive × additive between da and db; jab: epistatic effect value of additive × dominant between da and hb; jba: epistatic effect value of dominant × additive between ha and db; l: epistatic effect value of dominant × dominant between ha and hb; σp2: phenotypic variance; σpg2: polygene variance; σ2: environmental variance; σmg2: major gene variance; hmg2: major gene heritability; hpg2: polygene heritability; 1 − (hmg2 + hpg2): Environmental variance.