Skip to main content
Log in

Fingerprinting Amazonian coffees: assessing diversity through molecular markers

  • Research
  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

Characterization of genetic resources is a prerequisite for plant breeding and germplasm management. In this context, the use of molecular markers for validation of genetic passports based on DNA analyses is crucial for identification of cultivars and traceability in coffee breeding programs. A total of 96 Coffea canephora genotypes cultivated in the Western Amazonia were evaluated, including plants of the botanical varieties Conilon, Robusta, and hybrids from the germplasm bank of the Brazilian Agricultural Research Corporation (Embrapa), as well as clones in the public domain coming from growers in the state. The germplasm was evaluated with 12 simple sequence repeat (SSR) marker to quantify the genetic diversity also considering the discrimination power of these markers. Were identified 96 unique fingerprint profiles and a set of primers of higher efficiency for discrimination C. canephora genotypes. The genetic relationships illustrated by hierarchical clusterings and discriminant analyses showed distinction between the botanical varieties Conilon and Robusta and higher diversity in the Robusta variety. The set of molecular markers allowed to identify hybrid genotypes that were misclassified in populations of Conilon and Robusta botanical varieties as well as genealogy mistakes. Unique genetic profiles were detected for each clone in the public domain of the state. Previously unknown, these genotypes were classified according to their phenotypic similarities with each other and with the Conilon, Robusta, and hybrid accessions. These results are valuable for future management of the Amazonian coffee and useful to assist and accelerate the selection and crosses in the genetic breeding program.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data availability

The datasets generated analysed during the current study are available from the corresponding author on reasonable request.

References

Download references

Acknowledgements

This work was supported by the Foundation for Research Support of the state of Minas Gerais (FAPEMIG), by the National Council of Scientific and Technological Development (CNPq), by the National Institutes of Science and Technology of Coffee (INCT/Café) and Coordination for the Improvement of Higher Education Personnel (CAPES).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, ETC, LFS, RBR and ALT; methodology, LFS, RBR, BGL and ACAS; data analysis, LFS and BGL; validation and formal analysis, ETC and RBR; investigation, LFS, ACAS, ETC; writing original draft preparation, LFS, RBR and BGL; writing review and editing LFS, RBR and ETC; supervision, ETC; funding acquisition, ETC and ALT.

Corresponding author

Correspondence to Eveline Teixeira Caixeta.

Ethics declarations

Conflict of interest

The authors declare no competing financial interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 41 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Faria Silva, L., Leichtweis, B.G., Silva, A.C.A. et al. Fingerprinting Amazonian coffees: assessing diversity through molecular markers. Euphytica 220, 28 (2024). https://doi.org/10.1007/s10681-023-03274-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10681-023-03274-2

Keywords

Navigation