Chemical composition of flavonoids and styrylpyrones and the genetic variability of isozymes in natural populations of Cryptocarya mandioccana Meisner (Lauraceae)


Autoria(s): de Moraes, Pedro L. R.; Nehme, Claudia J.; Alves, Marcelo C.; Derbyshire, Maria Teresa V. C.; Cavalheiro, Alberto José
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/04/2007

Resumo

The chemical composition of leaves of 57 trees of Cryptocarya mandioccana from three populations of southeastern Brazil was investigated through HPLC, assaying six flavonoids, seven styrylpyrones, and seven unidentified compounds. From 51 of the former trees, genotypes were obtained from 40 polymorphic loci of 19 isozymes. Cluster analyses of the phytochemical and genetical variation revealed that trees exhibited four chemotypes and five clusters from isozymes, respectively. Discriminant analyses from selected variables of the isozymic and chemical data sets were performed, respectively, in relation to the four chemotypes and the five isozyme clusters. The classification of individuals presented respective error estimates of 9.16% and 13.57%, indicating that the genetic data could explain the clusters from chernotypes and vice versa at acceptable error levels. Linear regressions with Dummy variable showed significant association of locus Skdh-2 with quercetin-3-O-beta-D-glucopyranoside and cryptofolione, indicating that its alleles would be responsible for the chemotype variation between individuals. (c) 2006 Elsevier Ltd. All rights reserved.

Formato

233-244

Identificador

http://dx.doi.org/10.1016/j.bse.2006.10.013

Biochemical Systematics and Ecology. Oxford: Pergamon-Elsevier B.V., v. 35, n. 4, p. 233-244, 2007.

0305-1978

http://hdl.handle.net/11449/38500

10.1016/j.bse.2006.10.013

WOS:000245696000007

Idioma(s)

eng

Publicador

Elsevier B.V.

Relação

Biochemical Systematics and Ecology

Direitos

closedAccess

Palavras-Chave #Cryptocarya mandioccana #chemotype #flavonoid #styrylpyrone #isozyme #genetic variation #discriminant analysis #cluster analysis
Tipo

info:eu-repo/semantics/article