| Literature DB >> 32350312 |
Manna Crespan1, Daniele Migliaro2, Simone Larger3, Massimo Pindo3, Carlo Petrussi4, Marco Stocco5, Denis Rusjan6, Paolo Sivilotti7, Riccardo Velasco2, Erika Maul8.
Abstract
'Glera' and 'Ribolla Gialla' are the most economically relevant local grapevine cultivars of Friuli Venezia Giulia region (north-eastern Italy). 'Glera' is used to produce the world-renowned Prosecco wine. 'Ribolla Gialla' cultivation is constantly increasing due to the strong demand for sparkling wine and is the most important variety in Brda (Slovenia). Knowledge of local varieties history in terms of migration and pedigree relationships has scientific and marketing appeal. Following prospections, genotyping and ampelographic characterization of minor germplasm in Friuli Venezia Giulia, a further research was developed to understand the parentage relationships among the grapevine varieties grown in this region. An integrated strategy was followed combining the analysis of nuclear and chloroplast microsatellites with the Vitis 18k SNP chip. Two main recurrent parents were found, which can be regarded as "founders": 'Vulpea', an Austrian variety parent-offspring related with at least ten Friuli Venezia Giulia cultivars, among them 'Glera', and 'Refosco Nostrano', first degree related with other six Friuli Venezia Giulia varieties. 'Ribolla Gialla' was shown to be another member of the impressively long list of offspring derived from the prolific 'Heunisch Weiss'. Combining molecular markers and historical references was a high-performance strategy for retracing and adjusting the history of cultivars.Entities:
Year: 2020 PMID: 32350312 PMCID: PMC7190720 DOI: 10.1038/s41598-020-64061-w
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Parents and offspring trios selected combining data from PLINK, GenomeStudio Parent-Parent-Child (P-P-C) error rate and the 12 SSR markers used for identification. MI: Mendelian inconsistencies, computed on trios.
| Offspring | First candidate parent | Second candidate parent | PLINK | relation | GenomeStudio | MI | |||
|---|---|---|---|---|---|---|---|---|---|
| Z0 | Z1 | Z2 | PI_HAT | P-P-C error rate | |||||
| Piccola nera | Heunisch Weiss | 0.0518 | 0.8650 | 0.0832 | 0.5157 | PO | |||
| Vulpea | 0.0443 | 0.8865 | 0.0692 | 0.5125 | PO | ||||
| Heunisch Weiss | Vulpea | 0.0071285 | 0.006157 | ||||||
| Gran Rap Neri | Aghedene | 0 | 1 | 0 | 0.5 | PO | |||
| Corbina | 0 | 1 | 0 | 0.5 | PO | ||||
| Aghedene | Corbina | 0.0078534 | 0.005707 | ||||||
| Pelena | Malvasia Bianca Lunga | 0.043 | 0.9101 | 0.0468 | 0.5019 | PO | |||
| Glera | 0.0379 | 0.8616 | 0.1005 | 0.5313 | PO | ||||
| Malvasia Bianca Lunga | Glera | 0.0077424 | 0.005456 | ||||||
| Polposa | Refosco Nostrano | 0.043 | 0.9428 | 0.0142 | 0.4856 | PO | |||
| Verduzzo Friulano | 0.0278 | 0.8795 | 0.0927 | 0.5324 | PO | ||||
| Refosco Nostrano | Verduzzo Friulano | 0.0070226 | 0.004786 | ||||||
| Sagrestana | Picolit | 0.0471 | 0.9529 | 0 | 0.4764 | PO | |||
| Verduzzo Friulano | 0.0354 | 0.9236 | 0.0409 | 0.5028 | PO | ||||
| Picolit | Verduzzo Friulano | 0.0081890 | 0.005626 | ||||||
| Venere | Picolit | 0.0329 | 0.9551 | 0.012 | 0.4896 | PO | |||
| Verduzzo Friulano | 0.0376 | 0.9624 | 0 | 0.4812 | PO | ||||
| Picolit | Verduzzo Friulano | 0.0072323 | 0.004783 | ||||||
| Cjanorie | Vulpea | 0 | 1 | 0 | 0.5 | PO | |||
| Vinoso Rosso | 0 | 1 | 0 | 0.5 | PO | ||||
| Vulpea | Vinoso Rosso | 0.0102984 | 0.007384 | ||||||
| Manzoni Bianco | Pinot | 0.0278 | 0.9537 | 0.0185 | 0.4953 | PO | |||
| Riesling Weiss | 0.0455 | 0.8514 | 0.103 | 0.5287 | PO | ||||
| Pinot | Riesling Weiss | 0.0071174 | 0.005374 | ||||||
| Raboso Veronese | Raboso Piave | 0 | 1 | 0 | 0.5 | PO | |||
| Marzemina Bianca | 0.0442 | 0.9558 | 0 | 0.4779 | PO | ||||
| Raboso Piave | Marzemina Bianca | 0.0080663 | 0.006128 | ||||||
| Vitouska | Malvasia Bianca Lunga | 0.0544 | 0.8174 | 0.1281 | 0.5369 | PO | |||
| Glera | 0.0316 | 0.9076 | 0.0608 | 0.5146 | PO | ||||
| Malvasia Bianca Lunga | Glera | 0.0078600 | 0.005545 | ||||||
Figure 1Pedigree reconstruction. In brackets the chlorotype, codified in letters following[19]. Solid lines represent links inferred with molecular data on existing genotypes and vines. Dotted lines indicate presumed full-sib relationships where the complementary or both parents are missing from the dataset.
PLINK parameter values and Mendelian inconsistencies (MI) for pairs of parent-offspring (PO) related varieties and pairs with conflicting data in respect to the previously proposed PO kinship. MI are shown also computed on the more restricted group of 9,177 SNPs selected through ASSIsT software and classified using 192 genotypes. DAUS: DistortedAndUnexpSegreg, OHR: OneHomozygRare_HWE and OneHomozygRare_notHWE.
| Varieties with supporting data | PLINK 11,929 SNPs | MI computed on 9,177 SNPs selected through ASSIsT | Percentage of total MI reduction based on ASSIsT | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Z0 | Z1 | Z2 | PI_HAT | MI total number | MI total number | MI on Robust SNPs | MI on DAUS SNPs | MI on OHR SNPs | MI (Robust + OHR) | |||
| Brambana | Bianchetta Trevigiana | 0.0341 | 0.9556 | 0.0103 | 0.4881 | 27 | 13 | 3 | 9 | 1 | 4 | 51.9 |
| Garganega | Codelunghe | 0.0342 | 0.9658 | 0 | 0.4829 | 28 | 19 | 7 | 11 | 1 | 8 | 32.1 |
| Marzemina Bianca | 0.0493 | 0.921 | 0.0297 | 0.4902 | 39 | 24 | 9 | 14 | 1 | 10 | 38.5 | |
| Heunisch weiss | Pinella | 0.0387 | 0.9613 | 0 | 0.4806 | 31 | 19 | 6 | 11 | 2 | 8 | 38.7 |
| Riesling Weiss | 0.0529 | 0.9471 | 0 | 0.4736 | 44 | 31 | 5 | 18 | 8 | 13 | 29.5 | |
| Ribolla Gialla | 0.0461 | 0.9539 | 0 | 0.4769 | 37 | 27 | 8 | 15 | 4 | 12 | 27.0 | |
| Goustolidi | 0.0392 | 0.8549 | 0.1059 | 0.5333 | 31 | 17 | 7 | 9 | 1 | 8 | 45.2 | |
| Refosco nostrano | Berzamino | 0.0493 | 0.8742 | 0.0764 | 0.5136 | 39 | 24 | 8 | 14 | 2 | 10 | 38.5 |
| Cuneute | 0.0442 | 0.8927 | 0.063 | 0.5094 | 35 | 21 | 9 | 11 | 1 | 10 | 40.0 | |
| Refosco Bianco | 0.0329 | 0.9328 | 0.0344 | 0.5007 | 26 | 15 | 4 | 10 | 1 | 5 | 42.3 | |
| Refosco di Rauscedo | 0.0316 | 0.9506 | 0.0178 | 0.4931 | 25 | 15 | 6 | 8 | 1 | 7 | 40.0 | |
| Tazzelenghe | 0.0341 | 0.8834 | 0.0824 | 0.5242 | 27 | 15 | 3 | 12 | 0 | 3 | 44.4 | |
| Vinoso Rosso | 0.0202 | 0.9380 | 0.0418 | 0.5108 | 16 | 10 | 4 | 6 | 0 | 4 | 37.5 | |
| Volovnik | Forgiarin | 0 | 1 | 0 | 0.5 | 39 | 31 | 12 | 17 | 2 | 14 | 20.5 |
| Verduzzo friulano | 0 | 1 | 0 | 0.5 | 39 | 29 | 11 | 17 | 1 | 12 | 25.6 | |
| Vulpea | Aghedene | 0.0557 | 0.9443 | 0 | 0.4722 | 45 | 29 | 5 | 19 | 5 | 10 | 35.6 |
| Cordenossa | 0 | 1 | 0 | 0.5 | 43 | 28 | 8 | 15 | 5 | 13 | 34.9 | |
| Glera Lunga | 0.0399 | 0.9601 | 0 | 0.4801 | 32 | 9 | 0 | 8 | 1 | 1 | 71.9 | |
| Glera | 0 | 1 | 0 | 0.5 | 35 | 19 | 8 | 9 | 2 | 10 | 45.7 | |
| Piciule | 0 | 1 | 0 | 0.5 | 41 | 25 | 6 | 14 | 5 | 11 | 39.0 | |
| Piculit Neri | 0 | 1 | 0 | 0.5 | 41 | 25 | 4 | 18 | 3 | 7 | 39.0 | |
| Schioppettino | 0.0548 | 0.9452 | 0 | 0.4726 | 45 | 33 | 7 | 21 | 5 | 12 | 26.7 | |
| Siora | 0.0517 | 0.9483 | 0 | 0.4741 | 43 | 26 | 6 | 16 | 4 | 10 | 39.5 | |
| Glera lunga | Glera | 0.1226 | 0.5798 | 0.2976 | 0.5875 | 97 | 88 | 44 | 36 | 8 | 52 | 9.3 |
| Marzemino | Marzemina Bianca | 0.4965 | 0.5035 | 0 | 0.2517 | 404 | 386 | 172 | 135 | 79 | 251 | 4.5 |
| Marzemino | Refosco dal Peduncolo Rosso | 0.1301 | 0.5961 | 0.2738 | 0.5718 | 103 | 90 | 39 | 36 | 15 | 54 | 12.6 |
| Marzemino | Teroldego | 0.2667 | 0.6188 | 0.1145 | 0.4239 | 211 | 188 | 77 | 61 | 50 | 127 | 10.9 |
| Traminer | Pinot | 0.0316 | 0.8279 | 0.1405 | 0.5545 | 25 | 17 | 8 | 7 | 2 | 10 | 32.0 |
| Traminer | Sauvignon | 0.0462 | 0.9538 | 0 | 0.4769 | 37 | 27 | 10 | 14 | 3 | 13 | 27.0 |
Figure 2Rejected kinships and new proposal.
Figure 3Unrooted optimal phylogenetic tree produced via UPGMA method. The evolutionary distances were computed using the Kimura 2-parameter method with bootstrap test (500 replicates). Arrows point to the three most prominent founder varieties.