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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

QTL mapping and identification of corresponding genomic regions for black pod disease resistance to three Phytophthora species in Theobroma cacao L.

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Author(s):
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Barreto, M. A. [1, 2] ; Rosa, J. R. B. F. [3] ; Holanda, I. S. A. [4] ; Cardoso-Silva, C. B. [1] ; Vildoso, C. I. A. [5] ; Ahnert, D. [4] ; Souza, M. M. [4] ; Correa, R. X. [4] ; Royaert, S. [6] ; Marelli, J. [6] ; Santos, E. S. L. [1] ; Luz, E. D. M. N. [2] ; Garcia, A. A. F. [3] ; Souza, A. P. [1]
Total Authors: 14
Affiliation:
[1] Univ Estadual Campinas, UNICAMP, Ctr Biol Mol & Engn Genet, BR-13083875 Campinas, SP - Brazil
[2] Comissao Execut Plano Lavoura Cacaueira CEPLAC, Ctr Pesquisa Assistencia Tecn & Extensao Rural Ca, BR-45600970 Ilheus, BA - Brazil
[3] Univ Sao Paulo, Escola Super Agr Luiz de Queiroz, Dept Genet, BR-13418900 Piracicaba, SP - Brazil
[4] Univ Estadual Santa Cruz, Dept Ciencias Biol, BR-45662900 Ilheus, BA - Brazil
[5] Univ Fed Oeste Para UFOPA, Inst Biodiversidade & Florestas, BR-68035110 Santarem, PA - Brazil
[6] MCCS, Fazenda Almirante Rod BR-101 Km-484, BR-45630000 Barro Preto, BA - Brazil
Total Affiliations: 6
Document type: Journal article
Source: EUPHYTICA; v. 214, n. 10 OCT 2018.
Web of Science Citations: 1
Abstract

The cacao tree (Theobroma cacao L.) is a species of great importance because cacao beans are the raw material used in the production of chocolate. However, the economic success of cacao is largely limited by important diseases such as black pod, which is responsible for losses of up to 30-40% of the global cacao harvest . The discovery of resistance genes could extensively reduce these losses. Therefore, the aims of this study were to construct an integrated multipoint genetic map, align polymorphisms against the available cacao genome, and identify quantitative trait loci (QTLs) associated with resistance to black pod disease in cacao. The genetic map had a total length of 956.41cM and included 186 simple sequence repeat (SSR) markers distributed among 10 linkage groups. The physical in silico map covered more than 200Mb of the cacao genome. Based on the mixed model predicted means of Phytophthora evaluation, a total of 6 QTLs were detected for Phytophthora palmivora (1 QTL), Phytophthora citrophthora (1 QTL), and Phytophthora capsici (4 QTLs). Approximately 1.77-3.29% of the phenotypic variation could be explained by the mapped QTLs. Several SSR marker-flanking regions containing mapped QTLs were located in proximity to disease regions. The greatest number of resistance genes was detected in linkage group 6, which provides strong evidence for a QTL. This joint analysis involving multipoint and mixed-model approaches may provide a potentially promising technique for detecting genes resistant to black pod and could be very useful for future studies in cacao breeding. (AU)

FAPESP's process: 12/11109-0 - In silico analysis of transcriptome and genome sequences in sugarcane: SNPs identification, allele specific expression analysis and, development and characterization of microsatellite markers
Grantee:Cláudio Benício Cardoso da Silva
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)