Skip to main navigation Skip to search Skip to main content

High Resolution Melt (HRM) Genotyping for Detection of Induced Mutations in Coffee (Coffea arabica L. var. Catuaí)

  • Andrés Gatica-Arias
  • , Alejandro Bolívar-González
  • , Elodia Sánchez-Barrantes
  • , Emanuel Araya-Valverde
  • , Ramón Molina-Bravo

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations

Abstract

Arabica coffee (C. arabica L.) is a highly valued agricultural commodity on the world market. Tons of products are traded internationally, and it has become an extremely valuable resource. However, the species is threatened by the alarmingly low genetic diversity present among its wild populations and agronomic varieties. It is highly relevant to exploit different mechanisms to increase genetic variability in coffee. One of such methods is the induction of variability through chemical or physical mutagenesis. In this work, a population of 320 coffee plants (Coffea arabica L. var. Catuaí) originated from chemically mutagenized embryogenic callus was analysed. Here we describe a protocol for detection of induced mutations using High Resolution Melting (HRM) on a Real Time PCR machine with HRM capabilities. The protocol allows to detect mutations in pooled DNA samples of up to four M2 mutant plants. The procedures and example data are presented for mutation detection in the CaWRKY1 gene. This procedure can be applied for mutation detection in other genes of interest to coffee breeders and scientists.

Original languageEnglish
Title of host publicationMutation Breeding in Coffee with Special Reference to Leaf Rust
Subtitle of host publicationProtocols
PublisherSpringer Berlin Heidelberg
Pages275-290
Number of pages16
ISBN (Electronic)9783662672730
ISBN (Print)9783662672723
DOIs
StatePublished - 1 Jan 2023
Externally publishedYes

Keywords

  • Chemical mutagenesis
  • Coffee
  • DNA extraction
  • Genotyping
  • High resolution melting

Fingerprint

Dive into the research topics of 'High Resolution Melt (HRM) Genotyping for Detection of Induced Mutations in Coffee (Coffea arabica L. var. Catuaí)'. Together they form a unique fingerprint.

Cite this