ASIC 2020

22-27 June 2020 - Montpelier SupAgro - France

Bandeau - ASIC 2020

Instructions for abstract submission

General instructions

The Scientific Committee will evaluate the abstracts and will confirm the type of presentation and scientific theme and/or session retained.

Deadline for abstract submission: 1st March 2020

Notification of acceptance: 31 March 2020

For oral communications

For posters

The Scientific Committee will evaluate the abstracts and will confirm/reject your poster.

Eventually, the Scientific Committee will also select your poster for a short oral presentation (5 minutes).

For Keynote Speakers

Deadline for abstract submission: 1st March 2020


Abstract template

Genome-wide association study identify SNPs and genomic regions for lipids and diterpenes contents in Coffea arabica related to its domestication

 

Pereira Luiz Filipe P.  (pl-filipe@alphavisa.com) 1, Sant’ Ana Gustavo C. 1, Ferreira Rafaelle V. 2, Silva Bruna S. R. 2, Nogueira Lívia M. 2, Padilha Lilian 1, Kitzberger Cintia S. 2, Scholz Maria B. 2, Sera Gustavo H. 2, Domingues Douglas 3, Guyot Romain 4, Pot David 5, Charmetant Pierre 5, Leroy Thierry 5

 

1 Embrapa Café, Brasília, DF, Brazil; 2 IAPAR, Londrina, PR, Brazil; 3 UNESP Rio Claro, SP, Brazil; 4 IRD, Montpellier France; 5 CIRAD, Montpellier, France.

 

RATIONALE

The Genome-wide association studies (GWAS) are an efficient approach to dissect the genetic architecture of complex traits. Lipids, including the diterpenes cafestol and kahweol, are key compounds that contribute to the quality of coffee beverages. A genome-wide association study was performed to identify genomic regions associated with lipid, cafestol and kahweol.

METHODS

Using GBS, we genotyped 107 Coffea arabica accessions, including wild genotypes from the historical FAO collection from Ethiopia and cultivars. Lipids, cafestol and kahweol contents in green beans were determined by NIRS. For full description of genetic analysis and the four association methods: mrMLM, FASTmrEMMA, ISIS EM-BLASSO, pLARmEB see Sant’Ana et al. 2018.

RESULTS

Using the diploid Coffea canephora genome as a reference for GBS data, we identified 6,696 SNPs. Population structure analyses suggested the presence of two to three groups (K = 2 and K = 3) corresponding to the east and west sides of the Great Rift Valley and an additional group formed by wild accessions collected in western forests. We identified 5 SNPs associated with lipid content, 4 with cafestol, 3 with kahweol and 9 with cafestol/kahweol ratio. Most of these SNPs are near genes related to metabolic pathways of those compounds. Among all trait-associated SNPs detected by GWAS, three showed strong signals of directional selection between genetic groups identified using STRUCTURE (K = 3). The group with most wild accessions presented very low frequencies of the reference alleles compared with the other two groups. This indicates that domestication and/or breeding process of C. arabica may have changed allelic frequencies of these loci in order to modulate lipids and diterpenes content.

CONCLUSIONS & PERSPECTIVES

The genetic analysis helped to define which accessions are more important to preserve in order to have a good genetic representation of the FAO collection and provided insights on C. arabica domestication. The GWAS approach was efficient to identify markers and genomic regions associated to lipids and diterpenes in Coffea arabica that can be used into breeding programs.

 

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