ArticleG3 (Bethesda, Md.)2013
Sequence diversity in coding regions of candidate genes in the glycoalkaloid biosynthetic pathway of wild potato species.
Article in G3 (Bethesda, Md.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Potato steroidal glycoalkaloids: properties, biosynthesis, regulation and genetic manipulation.Molecular horticulture · 2024Review
- Allelic variation in the autotetraploid potato: genes involved in starch and steroidal glycoalkaloid metabolism as a case study.BMC genomics · 2024Article
- Promiscuous potato: elucidating genetic identity and the complex genetic relationships of a cultivated potato germplasm collection.Frontiers in plant science · 2024Article
- Transcriptomic and metabolomic analyses reveal the flavor of bitterness in the tip shoots of Bambusa oldhamii Munro.Scientific reports · 2023Article
- GWAS in tetraploid potato: identification and validation of SNP markers associated with glycoalkaloid content.Molecular breeding : new strategies in plant improvement · 2022Article
- Wild potato ancestors as potential sources of resistance to the aphid Myzus persicae.Pest management science · 2022Article
- Identification and Recovery of Valuable Bioactive Compounds from Potato Peels: A Comprehensive Review.Antioxidants (Basel, Switzerland) · 2021Review
- Sustainable Use of Bioactive Compounds fromMolecules (Basel, Switzerland) · 2021Review
- Genome-Wide HMG Family Investigation and Its Role in Glycoalkaloid Accumulation in Wild Tuber-BearingLife (Basel, Switzerland) · 2020Article
- Article
- Single Nucleotide Polymorphism (SNP) markers associated with high folate content in wild potato species.PloS one · 2018Article
- Genomics and Evolution in Traditional Medicinal Plants: Road to a Healthier Life.Evolutionary bioinformatics online · 2015Review
- Genes involved in floral meristem in tomato exhibit drastically reduced genetic diversity and signature of selection.BMC plant biology · 2014Article
- Allelic variation in genes contributing to glycoalkaloid biosynthesis in a diploid interspecific population of potato.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural variation in five candidate genes of the steroidal glycoalkaloid (SGA) metabolic pathway and whole-genome single nucleotide polymorphism (SNP) genotyping were studied in six wild [Solanum chacoense (chc 80-1), S. commersonii, S. demissum, S. sparsipilum, S. spegazzinii, S. stoloniferum] and cultivated S. tuberosum Group Phureja (phu DH) potato species with contrasting levels of SGAs. Amplicons were sequenced for five candidate genes: 3-hydroxy-3-methylglutaryl coenzyme A reductase 1 and 2 (HMG1, HMG2) and 2.3-squalene epoxidase (SQE) of primary metabolism, and solanidine galactosyltransferase (SGT1), and glucosyltransferase (SGT2) of secondary metabolism. SNPs (n = 337) producing 354 variations were detected within 3.7 kb of sequenced DNA. More polymorphisms were found in introns than exons and in genes of secondary compared to primary metabolism. Although no significant deviation from neutrality was found, dN/dS ratios < 1 and negative values of Tajima's D test suggested purifying selection and genetic hitchhiking in the gene fragments. In addition, patterns of dN/dS ratios across the SGA pathway suggested constraint by natural selection. Comparison of nucleotide diversity estimates and dN/dS ratios showed stronger selective constraints for genes of primary rather than secondary metabolism. SNPs (n = 24) with an exclusive genotype for either phu DH (low SGA) or chc 80-1 (high SGA) were identified for HMG2, SQE, SGT1 and SGT2. The SolCAP 8303 Illumina Potato SNP chip genotyping revealed eight informative SNPs on six pseudochromosomes, with homozygous and heterozygous genotypes that discriminated high, intermediate and low levels of SGA accumulation. These results can be used to evaluate SGA accumulation in segregating or association mapping populations.
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