Multi-objective optimization for plant germplasm collection conservation of genetic resources based on molecular variability
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Data
2015
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Resumo
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.
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Palavras-chave
Biodiversity, Conservation planning, Core collection, Multi-objective optimization, Genetic variability, Germplasm
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.