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Genetic-based interactions among tree neighbors: identification of the most influential neighbors, and estimation of correlations among direct and indirect genetic effects for leaf disease and growth in Eucalyptus globulus.

ABSTRACT: An individual's genes may influence the phenotype of neighboring conspecifics. Such indirect genetic effects (IGEs) are important as they can affect the apparent total heritable variance in a population, and thus the response to selection. We studied these effects in a large, pedigreed population of Eucalyptus globulus using variance component analyses of Mycosphearella leaf disease, diameter growth at age 2 years, and post-infection diameter growth at ages 4 and 8 years. In a novel approach, we initially modeled IGEs using a factor analytic (FA) structure to identify the most influential neighbor positions, with the FA loadings being position-specific regressions on the IGEs. This involved sequentially comparing FA models for the variance-covariance matrices of the direct and indirect effects of each neighbor. We then modeled IGEs as a distance-based, combined effect of the most influential neighbors. This often increased the magnitude and significance of indirect genetic variance estimates relative to using all neighbors. The extension of a univariate IGEs model to bivariate analyses also provided insights into the genetic architecture of this population, revealing that: (1) IGEs arising from increased probability of neighbor infection were not associated with reduced growth of neighbors, despite adverse fitness effects being evident at the direct genetic level; and (2) the strong, genetic-based competitive interactions for growth, established early in stand development, were highly positively correlated over time. Our results highlight the complexities of genetic-based interactions at the multi-trait level due to (co)variances associated with IGEs, and the marked discrepancy occurring between direct and total heritable variances.

SUBMITTER: Costa E Silva J

PROVIDER: S-EPMC5564376 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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Genetic-based interactions among tree neighbors: identification of the most influential neighbors, and estimation of correlations among direct and indirect genetic effects for leaf disease and growth in Eucalyptus globulus.

Costa E Silva J J Potts B M BM Gilmour A R AR Kerr R J RJ

Heredity 20170531 3

An individual's genes may influence the phenotype of neighboring conspecifics. Such indirect genetic effects (IGEs) are important as they can affect the apparent total heritable variance in a population, and thus the response to selection. We studied these effects in a large, pedigreed population of Eucalyptus globulus using variance component analyses of Mycosphearella leaf disease, diameter growth at age 2 years, and post-infection diameter growth at ages 4 and 8 years. In a novel approach, we ...[more]

PMID: 28561806

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Project description:In order to pinpoint the most differentially expressed genes between Eucalyptus grandis leaf blades and vascular (xylem) tissues as well as between E. grandis and Eucalyptus globulus xylem tissues, a total number of nine 50mer-oligoprobes covering the length of each one of 21,432 unique sequences derived from the Genolyptus EST dataset were synthesized “on-chip” in duplicate, randomly distributed in two blocks of each slide. Probes were also synthesized from ten cDNA sequences encoding known human proteins as negative controls, totaling 21,442 sequences. Leaves and xylem samples were taken from two E. grandis clonal trees, i.e., both derived from the same matrix tree and harboring the same genotype. Two additional xylem samples were collected from two other E. grandis clonal trees of a different genotype, as well as from two E. globulus clonal trees. Therefore, ten cDNA samples and ten identical chips were produced at Roche NimbleGen for the microarray assays, with a total number of 385,956 features per slide. Besides the discovery of differentially expressed genes between leaf and xylem, we wanted to test the validity of the assumed “technical” and “biological duplicates” since all trees were field-grown and four years-old in age. A ten chip study using total RNA recovered from mature leaf and vascular (xylem) tissues of Eucalyptus grandis and xylem from Eucalyptus globulus trees. Two clonal trees of E. grandis (E.grandis_Clone A_Ramet 1 and E.grandis_Clone A_Ramet 2), derived from a single matrix tree and therefore genomically identical, were the source of two samples of leaf RNA and two samples of xylem RNA, individually hybridized to four chips after cDNA synthesis/Cy3 labeling. Two other clonal trees of E. grandis (E.grandis_Clone B_Ramet 1 and E.grandis_Clone B_Ramet 2), derived from a different matrix tree, were the source of two additional samples of xylem RNA individually hybridized to four chips after cDNA synthesis/Cy3 labeling. Likewise, two pairs of clonal trees of E. globulus (E.globulus_Clone A_Ramet 1 and E.globulus_Clone A_Ramet 2/ E.globulus_Clone B_Ramet 1 and E.globulus_Clone B_Ramet 2), derived from two distinct matrix trees, were the source of four additional samples of xylem RNA, individually hybridized to four chips after cDNA synthesis/Cy3 labeling. Each chip measures the expression level of 21,432 genes from Eucalyptus sp. and ten human genes (negative controls) with nine 50-mer probe pairs (PM/MM) per gene in two separate blocks per chip (technical duplicate), totalizing 18 hybridization signal values per gene per chip.

Dataset Information

Genetic-based interactions among tree neighbors: identification of the most influential neighbors, and estimation of correlations among direct and indirect genetic effects for leaf disease and growth in Eucalyptus globulus.

Publications

Genetic-based interactions among tree neighbors: identification of the most influential neighbors, and estimation of correlations among direct and indirect genetic effects for leaf disease and growth in Eucalyptus globulus.

Similar Datasets

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