ArticleGenes2020
The Potential of HTS Approaches for Accurate Genotyping in Grapevine (
Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Exploration of chaos game representation and integrative deep learning approaches for whole-genome sequencing-based grapevine genetic testing.Bioinformatics advances · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main challenge associated with genotyping based on conventional length polymorphisms is the cross-laboratory standardization of allele sizes. This step requires the inclusion of standards and manual sizing to avoid false results. Capillary electrophoresis (CE) approaches limit the information to the length polymorphism and do not allow the determination of a complete marker sequence. As an alternative, high-throughput sequencing (HTS) offers complete information regarding marker sequences and their flanking regions. In this work, we investigated the suitability of a semi-quantitative sequencing approach for microsatellite genotyping using Illumina paired-end technology. Twelve microsatellite loci that are well established for grapevine CE typing were analysed on 96 grapevine samples from six different countries. We redesigned primers to the length of the amplicon for short sequencing (~100 bp). The primer pair was flanked with a 10 bp overhang for the introduction of barcodes on both sides of the amplicon to enable high multiplexing. The highest data peaks were determined as simple sequence repeat (SSR) alleles and compared with the CE dataset based on 12 reference samples. The comparison showed that HTS SSR genotyping can successfully replace the CE system in further experiments. We believe that, with next-generation sequencing, genotyping can be improved in terms of its speed, accuracy, and price.
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Registered trials
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