Use este identificador para citar ou linkar para este item: http://repositorio.bc.ufg.br/handle/ri/19263
Tipo do documento: Artigo
Título: Multi-objective optimization for plant germplasm collection conservation of genetic resources based on molecular variability
Autor: Santos, Shana Schlottfeldt
Walter, Maria Emília Machado Telles
Carvalho, André Carlos Ponce de Leon Ferreira de
Soares, Thannya Nascimento
Telles, Mariana Pires de Campos
Loyola, Rafael Dias
Diniz Filho, Jose Alexandre Felizola
Abstract: Germplasm collections play a significant role among strategies for conservation of diversity. It is common to select a core collection to represent the genetic diversity of a germplasm collection, in order to minimize the cost of conservation, while ensuring the maximization of genetic variation. We aimed to solve two main problems: (1) to select a set of individuals, from an in situ data set, that is genetically complementary to an existing germplasm collection, and (2) to define a core collection for a germplasm collection. We proposed a new multi-objective optimization (MOO) approach based on principles of systematic conservation planning (SCP) incorporating heterozygosity information; therefore, optimization takes genotypic diversity and variability patterns into account as well. As a case study, we used Dipteryx alata microsatellite loci information from two sources, an ex situ germplasm collection located at the Agronomy School of the Federal University of Goi´as (UFG-AS), and an in situ data set composed of 642 sampled individual trees. We were able to identify within a population of several individuals, the exact accessions/ samples that should be chosen in order to preserve the species diversity. We found that material from nine in situ individual trees are enough to complement the UFGAS germplasm collection as it is, and that it is possible to define a core collection of 20 individual trees representing all studied genetic diversity.Moreover, we defined a method (a protocol) to deal with large amounts of accessions in the context ofMOO. The proposed approach can be used to help constructing collections with maximal allelic richness and can also be extended to the in situ conservation. As far as we know, this is the first time that principles of SCP and the MOO approach are applied to the problem of complementing a germplasm collection and of finding a core collection for a germplasm collection.
Palavras-chave: Biodiversity
Conservation planning
Core collection
Multi-objective optimization
Genetic variability
Germplasm
País: Alemanha
Unidade acadêmica: Instituto de Ciências Biológicas - ICB (RG)
Citação: SCHLOTTFELDT, Shana et al. Multi-objective optimization for plant germplasm collection conservation of genetic resources based on molecular variability. Tree Genetics & Genomes, Heidelberg , v. 11, n. 16, p.3-10, 2015.
Tipo de acesso: Acesso Aberto
Endereço da licença: http://creativecommons.org/licenses/by-nc-nd/4.0/
URI: http://repositorio.bc.ufg.br/handle/ri/19263
Data de publicação: 2015
Aparece nas coleções:EA - Artigos publicados em periódicos

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