Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/292112
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Association genetics in Pinus taeda L. II. Carbon isotope discrimination |
Autor: | González-Martínez, Santiago C.; Huber, D.; Ersoz, E.; Davis, J. M.; Neale, D. B. | Palabras clave: | Association genetics Candidate genes Carbon isotope discrimination Pinus taeda| |Single nucleotide polymorphisms Water use efficiency |
Fecha de publicación: | 2008 | Editor: | Springer Nature | Citación: | Heredity 101: 19-26 (2008) | Resumen: | Dissection of complex traits that influence fitness is not only a central topic in evolutionary research but can also assist breeding practices for economically important plant species, such as loblolly pine (Pinus taeda L). In this study, 46 single nucleotide polymorphisms (SNPs) from 41 disease and abiotic stress-inducible genes were tested for their genetic association with carbon isotope discrimination (CID), a time-integrated trait measure of stomatal conductance. A family-based approach to detect genotype/phenotype genetic association was developed for the first time in plants by applying the quantitative transmission disequilibrium test on an association population of 961 clones from 61 families (adopted from previous breeding programs) evaluated for phenotypic expression of CID at two sites. Two particularly promising candidates for their genetic effects on CID are dhn-1, involved in stabilization of cell structures, and lp5-like, a glycine rich protein putatively related to cell wall reinforcement proteins, both of which were shown in previous studies to be water-deficit inducible. Moreover, association in lp5-like involves a nonsynonymous mutation in linkage disequilibrium with two other nonsynonymous polymorphisms that could, by acting together, enhance overall phenotypic effects. This study highlights the complexity of dissecting CID traits and provides insights for designing second-generation association studies based on candidate gene approaches in forest trees. © 2008 Nature Publishing Group All rights reserved. | URI: | http://hdl.handle.net/10261/292112 | DOI: | 10.1038/hdy.2008.21 | ISSN: | 0018-067X | E-ISSN: | 1365-2540 |
Aparece en las colecciones: | (INIA) Artículos |
Mostrar el registro completo
CORE Recommender
SCOPUSTM
Citations
121
checked on 26-may-2024
WEB OF SCIENCETM
Citations
118
checked on 25-feb-2024
Page view(s)
19
checked on 27-may-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.