SNP markers found in non‑coding regions can distinguish among low‑variant genotypes of Arabica and other coffee species
Development of efficient and scalable methods for molecular identification of Coffea spp. are necessary to accelerate studies related to the characterization of germplasm for both conservation or breeding purposes, and the validation of coffee germplasm. The low genetic diversity of coffee hinders t...
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Genetic Resources and Crop Evolution
2022
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RepoCATIE121942023-01-30T15:25:06Z SNP markers found in non‑coding regions can distinguish among low‑variant genotypes of Arabica and other coffee species Solano Sánchez, William y 6 autores más COFFEA COFFEA ARABICA GENOTIPOS GENOTYPES SINGLE-NUCLEOTIDE POLYMORPHISM HIGH-RESOLUTION MELTING ANALYSIS Sede Central Development of efficient and scalable methods for molecular identification of Coffea spp. are necessary to accelerate studies related to the characterization of germplasm for both conservation or breeding purposes, and the validation of coffee germplasm. The low genetic diversity of coffee hinders the establishment of protocols that facilitate the molecular characterization of a given genotype. In this study, nucleotide variability was analyzed at 22 loci in the genome of 19 coffee accessions using de novo primer sets and high-resolution melting (HRM). Single nucleotide polymorphisms (SNPs) variants were studied in coding regions of genes implicated in sucrose accumulation in the seed, Sucrose synthase 2 (SUS2), Ent-kaurene oxidase 1 (CaKO1), and Caffeoyl-coenzyme A 3-O-methyltransferase (CcOAOMT). The non-coding Internal transcribed spacer 2 (ITS2) region was also studied. Variability was shown at 103 positions both at the interspecies level (15 loci) and among varieties of Coffea arabica L. (4 loci). The HMR technique for identification of variants in genes CaKO1, SUS2, CcoAOMT, as well as in the ITS2 region proved to be a robust technique for germplasm characterization. More important this technique can be used for fingerprinting and traceability of coffee grain exports which is an increasing market-consumer demand 2022-12-13T20:33:14Z 2022-12-13T20:33:14Z 2022 Artículo https://repositorio.catie.ac.cr/handle/11554/12194 restrictedAccess en Genetic Resources and Crop Evolution https://doi.org/10.1007/s10722-022-01498-0 14 páginas application/pdf Genetic Resources and Crop Evolution |
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Centro Agronómico Tropical de Investigación y Enseñanza |
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Repositorio CATIE |
language |
Inglés |
topic |
COFFEA COFFEA ARABICA GENOTIPOS GENOTYPES SINGLE-NUCLEOTIDE POLYMORPHISM HIGH-RESOLUTION MELTING ANALYSIS Sede Central |
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COFFEA COFFEA ARABICA GENOTIPOS GENOTYPES SINGLE-NUCLEOTIDE POLYMORPHISM HIGH-RESOLUTION MELTING ANALYSIS Sede Central Solano Sánchez, William y 6 autores más SNP markers found in non‑coding regions can distinguish among low‑variant genotypes of Arabica and other coffee species |
description |
Development of efficient and scalable methods for molecular identification of Coffea spp. are necessary to accelerate studies related to the characterization of germplasm for both conservation or breeding purposes, and the validation of coffee germplasm. The low genetic diversity of coffee hinders the establishment of protocols that facilitate the molecular characterization of a given genotype. In this study, nucleotide variability was analyzed at 22 loci in the genome of 19 coffee accessions using de novo primer sets and high-resolution melting (HRM). Single nucleotide polymorphisms (SNPs) variants were studied in coding regions of genes implicated in sucrose accumulation in the seed, Sucrose synthase 2 (SUS2), Ent-kaurene oxidase 1 (CaKO1), and Caffeoyl-coenzyme A 3-O-methyltransferase (CcOAOMT). The non-coding Internal transcribed spacer 2 (ITS2) region was also studied. Variability was shown at 103 positions both at the interspecies level (15 loci) and among varieties of Coffea arabica L. (4 loci). The HMR technique for identification of variants in genes CaKO1, SUS2, CcoAOMT, as well as in the ITS2 region proved to be a robust technique for germplasm characterization. More important this technique can be used for fingerprinting and traceability of coffee grain exports which is an increasing market-consumer demand |
format |
Artículo |
author |
Solano Sánchez, William y 6 autores más |
author_facet |
Solano Sánchez, William y 6 autores más |
author_sort |
Solano Sánchez, William |
title |
SNP markers found in non‑coding regions can distinguish among low‑variant genotypes of Arabica and other coffee species |
title_short |
SNP markers found in non‑coding regions can distinguish among low‑variant genotypes of Arabica and other coffee species |
title_full |
SNP markers found in non‑coding regions can distinguish among low‑variant genotypes of Arabica and other coffee species |
title_fullStr |
SNP markers found in non‑coding regions can distinguish among low‑variant genotypes of Arabica and other coffee species |
title_full_unstemmed |
SNP markers found in non‑coding regions can distinguish among low‑variant genotypes of Arabica and other coffee species |
title_sort |
snp markers found in non‑coding regions can distinguish among low‑variant genotypes of arabica and other coffee species |
publisher |
Genetic Resources and Crop Evolution |
publishDate |
2022 |
url |
https://repositorio.catie.ac.cr/handle/11554/12194 |
work_keys_str_mv |
AT solanosanchezwilliam snpmarkersfoundinnoncodingregionscandistinguishamonglowvariantgenotypesofarabicaandothercoffeespecies AT y6autoresmas snpmarkersfoundinnoncodingregionscandistinguishamonglowvariantgenotypesofarabicaandothercoffeespecies |
_version_ |
1808116381494804480 |