Literature DB >> 26919810

Advances in genomics for the improvement of quality in coffee.

Hue Tm Tran1,2, L Slade Lee3, Agnelo Furtado1, Heather Smyth1, Robert J Henry1.   

Abstract

Coffee is an important crop that provides a livelihood to millions of people living in developing countries. Production of genotypes with improved coffee quality attributes is a primary target of coffee genetic improvement programmes. Advances in genomics are providing new tools for analysis of coffee quality at the molecular level. The recent report of a genomic sequence for robusta coffee, Coffea canephora, is a major development. However, a reference genome sequence for the genetically more complex arabica coffee (C. arabica) will also be required to fully define the molecular determinants controlling quality in coffee produced from this high quality coffee species. Genes responsible for control of the levels of the major biochemical components in the coffee bean that are known to be important in determining coffee quality can now be identified by association analysis. However, the narrow genetic base of arabica coffee suggests that genomics analysis of the wild relatives of coffee (Coffea spp.) may be required to find the phenotypic diversity required for effective association genetic analysis. The genomic resources available for the study of coffee quality are described and the potential for the application of next generation sequencing and association genetic analysis to advance coffee quality research are explored.
© 2016 Society of Chemical Industry. © 2016 Society of Chemical Industry.

Entities:  

Keywords:  association studies; biochemical compounds; coffee quality; genetics; genomics; next generation sequencing

Mesh:

Substances:

Year:  2016        PMID: 26919810     DOI: 10.1002/jsfa.7692

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  7 in total

1.  Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models.

Authors:  Luís Felipe Ventorim Ferrão; Romário Gava Ferrão; Maria Amélia Gava Ferrão; Aymbiré Fonseca; Peter Carbonetto; Matthew Stephens; Antonio Augusto Franco Garcia
Journal:  Heredity (Edinb)       Date:  2018-06-25       Impact factor: 3.821

2.  Population structure and genetic relationships between Ethiopian and Brazilian Coffea arabica genotypes revealed by SSR markers.

Authors:  Bruna Silvestre Rodrigues da Silva; Gustavo César Sant'Ana; Camila Lucas Chaves; Leonardo Godoy Androcioli; Rafaelle Vecchia Ferreira; Gustavo Hiroshi Sera; Pierre Charmetant; Thierry Leroy; David Pot; Douglas Silva Domingues; Luiz Filipe Protasio Pereira
Journal:  Genetica       Date:  2019-05-03       Impact factor: 1.082

3.  Identification of a seed maturation protein gene from Coffea arabica (CaSMP) and analysis of its promoter activity in tomato.

Authors:  Fabíola OCampo Quintero; Layra G Pinto; Carla F Barsalobres-Cavallari; Mariana de Lara Campos Arcuri; Lilian Ellen Pino; Lázaro Eustáquio Pereira Peres; Mirian P Maluf; Ivan G Maia
Journal:  Plant Cell Rep       Date:  2018-06-13       Impact factor: 4.570

4.  Metabolomic Markers for the Early Selection of Coffea canephora Plants with Desirable Cup Quality Traits.

Authors:  Roberto Gamboa-Becerra; María Cecilia Hernández-Hernández; Óscar González-Ríos; Mirna L Suárez-Quiroz; Eligio Gálvez-Ponce; José Juan Ordaz-Ortiz; Robert Winkler
Journal:  Metabolites       Date:  2019-10-04

5.  The absence of the caffeine synthase gene is involved in the naturally decaffeinated status of Coffea humblotiana, a wild species from Comoro archipelago.

Authors:  Nathalie Raharimalala; Stephane Rombauts; Andrew McCarthy; Andréa Garavito; Simon Orozco-Arias; Laurence Bellanger; Alexa Yadira Morales-Correa; Solène Froger; Stéphane Michaux; Victoria Berry; Sylviane Metairon; Coralie Fournier; Maud Lepelley; Lukas Mueller; Emmanuel Couturon; Perla Hamon; Jean-Jacques Rakotomalala; Patrick Descombes; Romain Guyot; Dominique Crouzillat
Journal:  Sci Rep       Date:  2021-04-14       Impact factor: 4.379

6.  Whole-genome resequencing of Coffea arabica L. (Rubiaceae) genotypes identify SNP and unravels distinct groups showing a strong geographical pattern.

Authors:  Yeshitila Mekbib; Kassahun Tesfaye; Xiang Dong; Josphat K Saina; Guang-Wan Hu; Qing-Feng Wang
Journal:  BMC Plant Biol       Date:  2022-02-14       Impact factor: 4.215

7.  Functional genomics analysis of a phyllospheric Pseudomonas spp with potential for biological control against coffee rust.

Authors:  Leandro Pio de Sousa; Matheus Aparecido Pereira Cipriano; Marcio José da Silva; Flávia Rodrigues Alves Patrício; Sueli Dos Santos Freitas; Marcelo Falsarella Carazzolle; Jorge Maurício Costa Mondego
Journal:  BMC Microbiol       Date:  2022-09-22       Impact factor: 4.465

  7 in total

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