Submitted:
08 January 2024
Posted:
08 January 2024
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Plant material
2.2. Primer construction
2.3. DNA extraction and PCR conditions
2.4. Data analysis
3. Results and Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Sequence | |||||
|---|---|---|---|---|---|
| Primers | F* (5´- 3´) | R* (5´- 3´) | At* | pb* | Reference |
| β-tubulin | ACATTGTCAGGT GGG GAGTT | CCTTTTGTTCCACACGAGATT | 60 ºC | 110 | [30] |
| PDS_AB | CAGCTAACTGAGATCAGTTT | AGATGGCTATATTTCGGTAC | 55 ºC | 994 | [26] |
| PDSMa | ATTGTGAAAGAGGTCGAGGA | TGCGGTAAAAGAAGCTTCAA | 60 ºC | 2166 | |
| PDSMb | GTGAGTTCATGGGTTGCCAA | ACCGGCTATGACAACCTTCA | 65 °C | 332 | |
| Accessions | Primer | ||||||
|---|---|---|---|---|---|---|---|
| Nº | Genotype/Cultivar | Genomic Group | Tubulin | PDS_AB | PDSMa | PDSMb ~320pb | PDSMb ~225pb |
| 1 | Gros Michel | AAA | + | + | + | + | + |
| 2 | Prata Anã | AAB | + | + | + | + | - |
| 3 | Balbisiana Franca | BB | + | + | - | + | - |
| 4 | Zebrina | AA | + | + | + | + | + |
| 5 | IAC 1 | AB | + | + | + | + | - |
| 6 | Bucaneiro | AAAA | + | + | + | + | + |
| 7 | Butuhan | BB | + | + | - | + | - |
| 8 | Musa balbisiana | BB | + | + | - | + | - |
| 9 | BB França | BB | + | + | - | + | - |
| 10 | Pelipita | ABB | + | + | + | + | - |
| 11 | FC06-02 | AABB | + | + | + | + | - |
| 12 | Teparod | ABBB | + | + | - | + | - |
| 13 | 028003-01 | AA | + | + | + | + | + |
| 14 | M53 | AA | + | + | + | + | + |
| 15 | Pisang Jaran | AA | + | + | + | + | + |
| 16 | Malbut | AA | + | + | + | + | + |
| 17 | Calcutta 4 | AA | + | + | + | + | + |
| 18 | PA Rayong | AA | + | + | + | + | + |
| 19 | Buitenzorg | AA | + | + | + | + | + |
| 20 | Khai Nai On | AA | + | + | + | + | + |
| 21 | Microcarpa | AA | + | + | + | + | + |
| 22 | Mambee Thu | AA | + | + | + | + | + |
| 23 | Malaccensis | AA | + | + | + | + | + |
| 24 | Pisang Tongat | AA | + | + | + | + | + |
| 25 | Pisang Pipit | AA | + | + | + | + | + |
| 26 | SF0751 | AA | + | + | + | + | + |
| 27 | Pisang Rojo Uter | AA | + | + | + | + | + |
| 28 | Tong Dok Mak | AA | + | + | + | + | + |
| 29 | Pisang Jari Buaya | AA | + | + | + | + | + |
| 30 | Pisang Lilin | AA | + | + | + | + | + |
| 31 | M48 | AA | + | + | + | + | + |
| 32 | NBA 14 | AA | + | + | + | + | + |
| 33 | Pisang Lidi | AA | + | + | + | + | + |
| 34 | Khai | AA | + | + | + | + | + |
| 35 | Pisang Berlin | AA | + | + | + | + | + |
| 36 | Khi Maeo | AA | + | + | + | + | + |
| 37 | Niyarma Yik | AA | + | + | + | + | + |
| 38 | Pisang Jari Buaya | AA | + | + | + | + | + |
| 39 | Tuu Gia | AA | + | + | + | + | + |
| 40 | Tjau Lagada | AA | + | + | + | + | + |
| 41 | Pisang Mas | AA | + | + | + | + | + |
| 42 | Ouro | AA | + | + | + | + | + |
| 43 | M61 | AA | + | + | + | + | + |
| 44 | Birmanie | AA | + | + | + | + | + |
| 45 | Borneo | AA | + | + | + | + | + |
| 46 | PA Musore 2 | AA | + | + | + | + | + |
| 47 | Pisang Cici | AA | + | + | + | + | + |
| 48 | 42049004 | AA | + | + | + | + | + |
| 49 | 42052004 | AA | + | + | + | + | + |
| 50 | 42079006 | AA | + | + | + | + | + |
| 51 | 42079013 | AA | + | + | + | + | + |
| 52 | 42085002 | AA | + | + | + | + | + |
| 53 | 50012002 | AA | + | + | + | + | + |
| 54 | 58054003 | AA | + | + | + | + | + |
| 55 | 73041001 | AA | + | + | + | + | + |
| 56 | 86079009 | AA | + | + | + | + | + |
| 57 | 86079010 | AA | + | + | + | + | + |
| 58 | 86094015 | AA | + | + | + | + | + |
| 59 | 86094020 | AA | + | + | + | + | + |
| 60 | 89087001 | AA | + | + | + | + | + |
| 61 | 91079003 | AA | + | + | + | + | + |
| 62 | 91087002 | AA | + | + | + | + | + |
| 63 | 91094004 | AA | + | + | + | + | + |
| 64 | SH3263 | AA | + | + | + | + | + |
| 65 | SH3362 | AA | + | + | + | + | + |
| 66 | TH03001 | AA | + | + | + | + | + |
| 67 | 42052003 | AA | + | + | + | + | + |
| 68 | 1916001 | AA | + | + | + | + | + |
| 69 | 13004006 | AA | + | + | + | + | + |
| 70 | BRS SCS Belluna | AAA | + | + | + | + | + |
| 71 | N´Jok Kon | AAB | + | + | + | + | - |
| 72 | CNPMF 0557 | AA | + | + | + | + | + |
| 73 | CNPMF0496 | AA | + | + | + | + | + |
| 74 | CNPMF0513 | AA | + | + | + | + | + |
| 75 | CNPMF0519 | AA | + | + | + | + | + |
| 76 | CNPMF0536 | AA | + | + | + | + | + |
| 77 | CNPMF0534 | AA | + | + | + | + | + |
| 78 | CNPMF0542 | AA | + | + | + | + | + |
| 79 | CNPMF0565 | AA | + | + | + | + | + |
| 80 | CNPMF0572 | AA | + | + | + | + | + |
| 81 | CNPMF0612 | AA | + | + | + | + | + |
| 82 | CNPMF0731 | AA | + | + | + | + | + |
| 83 | CNPMF0767 | AA | + | + | + | + | + |
| 84 | CNPMF0811 | AA | + | + | + | + | + |
| 85 | CNPMF0037 | AA | + | + | + | + | + |
| 86 | CNPMF0038 | AA | + | + | + | + | + |
| 87 | CNPMF 1102 | AA | + | + | + | + | + |
| 88 | CNPMF 0993 | AA | + | + | + | + | + |
| 89 | CNPMF 1323 | AA | + | + | + | + | + |
| 90 | CNPMF 1105 | AA | + | + | + | + | + |
| 91 | CNPMF 0998 | AA | + | + | + | + | + |
| 92 | CNPMF 1272 | AA | + | + | + | + | + |
| 93 | CNPMF1286 | AA | + | + | + | + | + |
| 94 | BRS Pacoua | AAAB | + | + | + | + | - |
| 95 | Yangambi Km 5 | AAA | + | + | + | + | + |
| 96 | Nanicão Cena 225 | AAA | + | + | + | + | + |
| 97 | Nanicão Jangada | AAA | + | + | + | + | + |
| 98 | IAC 2001 | AAA | + | + | + | + | + |
| 99 | IAC 504 | AAA | + | + | + | + | + |
| 100 | IAC 505 | AAA | + | + | + | + | + |
| 101 | Nanicão Viana | AAA | + | + | + | + | + |
| 102 | Rabo de Égua | AAA | + | + | + | + | + |
| 103 | Yangambi Nº2 | AAB | + | + | + | + | - |
| 104 | Saney | AAB | + | + | + | + | - |
| 105 | Thap maeo | AAB | + | + | + | + | - |
| 106 | Samura ‘B’ | AAB | + | + | + | + | - |
| 107 | Prata Jussara | AAB | + | + | + | + | - |
| 108 | Prata IAC | AAB | + | + | + | + | - |
| 109 | Tai | AAB | + | + | + | + | - |
| 110 | Pacovan | AAB | + | + | + | + | - |
| 111 | Walha | AAB | + | + | + | + | - |
| 112 | Prata Ponta Aparada | AAB | + | + | + | + | - |
| 113 | Prata Comum | AAB | + | + | + | + | - |
| 114 | Prata Manteiga | AAB | + | + | + | + | - |
| 115 | Terrinha | AAB | + | + | + | + | - |
| 116 | Curare Enano | AAB | + | + | + | + | - |
| 117 | Red Yade | AAB | + | + | + | + | - |
| 118 | D’Angola | AAB | + | + | + | + | - |
| 119 | Mongolo | AAB | + | + | + | + | - |
| 120 | Terra ponta aparada | AAB | + | + | + | + | - |
| 121 | Pinha | AAB | + | + | + | + | - |
| 122 | Tipo Velhaca | AAB | + | + | + | + | - |
| 123 | Terra maranhão | AAB | + | + | + | + | - |
| 124 | Trois Vert | AAB | + | + | + | + | - |
| 125 | Prata Baby | AAB | + | + | + | + | - |
| 126 | Prata graúda | AAB | + | + | + | + | - |
| 127 | Namwa Daeng | ABB | + | + | + | + | - |
| 128 | Ice Cream | ABB | + | + | + | + | - |
| 129 | Pitogo | ABB | + | + | + | + | - |
| 130 | Saba Honduras | ABB | + | + | + | + | - |
| 131 | Saba | ABB | + | + | + | + | - |
| 132 | Espermo | ABB | + | + | + | + | - |
| 133 | Poteau Naine | ABB | + | + | + | + | - |
| 134 | Figo | ABB | + | + | + | + | - |
| 135 | Fhia 02 | AAAA | + | + | + | + | + |
| 136 | Platina IAC | AAAB | + | + | + | + | - |
| 137 | Fhia 18 | AAAB | + | + | + | + | - |
| 138 | Prata Maçã | AAAB | + | + | + | + | - |
| 139 | BRS Japira | AAAB | + | + | + | + | - |
| 140 | BRS Pioneira | AAAB | + | + | + | + | - |
| 141 | BRS Garantida | AAAB | + | + | + | + | - |
| 142 | BRS Preciosa | AAAB | + | + | + | + | - |
| 143 | BRS Princesa | AAAB | + | + | + | + | - |
| 144 | BRS Vitoria | AAAB | + | + | + | + | - |
| 145 | YB 4203 | AAAB | + | + | + | + | - |
| 146 | Fhia 21 | AAAB | + | + | + | + | - |
| 147 | PA 42038 | AAAB | + | + | + | + | - |
| 148 | PA 42028 | AAAB | + | + | + | + | - |
| 149 | PA 42019 | AAAB | + | + | + | + | - |
| 150 | Fhia 03 | AABB | + | + | + | + | - |
| Statistic | Value- PDSMa | Value- PDSMb | 95% CI- PDSMa | 95% CI- PDSMb |
|---|---|---|---|---|
| Sensitivity | 99.32% | 100.00% | 96.24% to 99.98% | 96.07% to 100.00% |
| Specificity | 100.00% | 100.00% | 39.76% to 100.00% | 93.84% to 100.00% |
| Positive Likelihood Ratio | ||||
| Negative Likelihood Ratio | 0.01 | 0.00 | 0.00 to 0.05 | |
| Disease prevalence (*) | 97.33% | 61.33% | 93.31% to 99.27% | 53.05% to 69.16% |
| Positive Predictive Value (*) | 100.00% | 100.00% | 96.07% to 100.00% | |
| Negative Predictive Value (*) | 80.00% | 100.00% | 36.19% to 96.58% | 93.84% to 100.00% |
| Accuracy (*) | 99.33% | 100.00% | 96.34% to 99.98% | 97.57% to 100.00% |
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