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Integrated genetic map and wider genomic selection looking at characters of economic impotence in seringueira

Grant number: 18/18985-7
Support type:Scholarships in Brazil - Doctorate (Direct)
Effective date (Start): December 01, 2018
Effective date (End): February 28, 2022
Field of knowledge:Biological Sciences - Genetics - Plant Genetics
Principal researcher:Anete Pereira de Souza
Grantee:Felipe Roberto Francisco
Home Institution: Centro de Biologia Molecular e Engenharia Genética (CBMEG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil


The rubber tree (Hevea brasiliensis), a species native to the Amazon region, has great importance for the world economic scenario, being the largest source of natural rubber, a raw material of great importance in several industrial sectors due to its superior quality to the synthetic product. One of the main problems encountered in the cultivation of the rubber tree is the disease of South American Leaf Blight (SALB), caused by a fungus Pseudocercospora ulei. An alternative found to try to avoid this problem was the cultivation of the rubber tree in escape areas, where this fungus can´t develop, however these areas present adverse conditions for the cultivation of this species. The genetic breeding of H. brasiliensis can help in the development of clones better adapted to the conditions of escape areas, due to it is a perennial crop, it has a long cycle of breeding. In this context, many authors argue that techniques allow a reduction in this time, without reducing the genetic gains, having a great importance in breeding programs. The construction of a genetic map will contribute to the mapping of many other genes of economic importance, and it can be an import tool for SNPs (Single Nucleotide Polymorphism). These molecular markers associated with identified QTLs can be used to select rubber trees that perform best in escape areas. In addition to this strategy of molecular improvement, we also propose genomic selection with the objective of predicting the phenotypic performance of individuals and identifying molecular markers associated with the characteristic of economic importance for rubber trees. In this project we intend to develop an integrated genetic map of high resolution and reliability using SSRs markers and SNPs to locate QTLs, and to apply for the first time the genomic selection in rubber trees with the objective of predicting the phenotypic performance of the individuals and to identify molecular markers associated to the characteristic of economic importance for the rubber tree. The application of the different techniques of analysis will allow a comparison between the identified markers associated with QTLs in the genetic map of binding was also identified by GWS, thus evaluating the accuracy of the methodologies used. In addition, we will evaluate the possibility of the application of GS in the rubber tree improvement programs. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SOUZA, LIVIA M.; FRANCISCO, FELIPE R.; GONCALVES, PAULO S.; SCALOPPI JUNIOR, ERIVALDO J.; LE GUEN, VINCENT; FRITSCHE-NETO, ROBERTO; SOUZA, ANETE P. Genomic Selection in Rubber Tree Breeding: A Comparison of Models and Methods for Managing GxE Interactions. FRONTIERS IN PLANT SCIENCE, v. 10, OCT 25 2019. Web of Science Citations: 0.

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