Chemical Traits that Predict Susceptibility of Pinus radiata to Marsupial Bark Stripping

Nantongo, Judith Ssali; Potts, Brad M.; Davies, Noel W.; Aurik, Don; Elms, Stephen; Fitzgerald, Hugh; O’Reilly-Wapstra, Julianne M.

doi:10.1007/s10886-021-01307-5

Cited by 3 publications

(5 citation statements)

References 76 publications

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“…The genetic field trial at Wilmot in Tasmania, Australia (−41.454271° N, 146.106801° E, 580 m ASL) described in Nantongo, Potts, Davies, et al (2022) was used for this study. Plant material was sourced from the New Zealand Radiata Pine Breeding Company.…”

Section: Methodsmentioning

confidence: 99%

“…These protected replicates were randomly scattered within the trial. Within the protected replicates, alternate trees had been subject to artificial bark stripping [details in Nantongo, Potts, Davies, et al (2022) and Nantongo et al (2020) ]. The protected trees were subject to artificial and not marsupial bark stripping to control the size of the bark strip removed and the time of stripping in order to assess the chemical responses to stripping in a controlled manner.…”

Section: Methodsmentioning

confidence: 99%

“…Three weeks after the marsupial bark stripping assessment was conducted, an experiment was initiated to assess the constitutive and induced chemical differences for all 74 families using trees in the 6 protected replicates ( n = 390 plants due to some losses of trees or protection). Half of the plants were subject to artificial bark stripping (treated trees; n = 195) at time zero (T0) and half were untreated ( n = 195) and used as controls [more details of the sampling are presented in Nantongo, Potts, Davies, et al (2022) ]. Briefly, alternate plants in the 6 replicates were systematically treated regardless of family.…”

Section: Methodsmentioning

confidence: 99%

“…The chemical compounds in the bark, i.e. terpenes, phenolics, fatty acids, sugars, and unknown compounds, were predicted for the 6 protected replicates by near-infrared spectroscopy (NIRS) according to the methods documented in Nantongo, Potts, Rodemann et al (2021) and the associated wet chemistry methods documented in Nantongo, Potts, Davies, et al (2022) . In brief, chemical extractions were performed on 150 bark samples and NIRS prediction was used for the rest of the samples.…”

Section: Methodsmentioning

confidence: 99%

“…In radiata pine, selection for pest resistance has mostly been based on conventional approaches involving visual selection and trait screening over several pedigreed generations ( Carson 1989 ; Dungey et al 2009 ). Although there do not appear to be operational breeding programs focused on reducing the susceptibility of radiata pine to herbivory, various quantitative genetic studies have indicated the potential for selection against insects and mammalian bark damage and the associated chemical traits in various radiata pine populations ( Moreira et al 2013 ; Nantongo et al 2020 ; Nantongo, Potts, Davies, et al 2022 ; Nantongo et al 2021a ). However, estimates of the pedigree-based heritabilities (ranging from 0.07 to 0.50) and genetic correlations among marsupial bark stripping and associated chemical traits, which include terpenes, phenolics, and sugars, are usually low to moderate ( Nantongo et al 2020 , 2021a ), suggesting that these traits would possibly benefit from genomic selection.…”

Section: Introductionmentioning

confidence: 99%

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Genomic selection for resistance to mammalian bark stripping and associated chemical compounds in radiata pine

Nantongo

Potts

Klápště

et al. 2022

G3 Genes|Genomes|Genetics

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The integration of genomic data into genetic evaluations can facilitate the rapid selection of superior genotypes and accelerate the breeding cycle in trees. In this study, 390 trees from 74 control-pollinated families were genotyped using a 36K Axiom SNP array. A total of 15,624 high-quality SNPs were used to develop genomic prediction models for mammalian bark stripping, tree height and selected primary and secondary chemical compounds in the bark. Genetic parameters from different genomic prediction methods—single-trait best linear unbiased prediction based on a marker-based relationship matrix (GBLUP), multi-trait single-step GBLUP which integrated the marker-based and pedigree-based relationship matrices (ssGBLUP) and the single-trait generalised ridge regression (GRR) - were compared to equivalent single- or multi-trait pedigree-based approaches (ABLUP). The influence of the statistical distribution of data on the genetic parameters was assessed. Results indicated that the heritability estimates were increased nearly 2-fold with genomic models compared to the equivalent pedigree-based models. Predictive accuracy of the ssGBLUP was higher than the ABLUP for most traits. Allowing for heterogeneity in marker effects through the use of GRR did not markedly improve predictive ability over GBLUP, arguing that most of the chemical traits are modulated by many genes with small effects. Overall, the traits with low pedigree-based heritability benefited more from genomic models compared to the traits with high pedigree-based heritability. There was no evidence that data skewness or presence of outliers affected the genomic or pedigree-based genetic estimates.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Genomic selection for resistance to mammalian bark stripping and associated chemical compounds in radiata pine

Nantongo

Potts

Klápště

et al. 2022

G3 Genes|Genomes|Genetics

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Additive genetic variation in Pinus radiata bark chemistry and the chemical traits associated with variation in mammalian bark stripping

et al. 2021

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Analysis of the transcriptome of the needles and bark of Pinus radiata induced by bark stripping and methyl jasmonate

et al. 2022

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Background Plants are attacked by diverse insect and mammalian herbivores and respond with different physical and chemical defences. Transcriptional changes underlie these phenotypic changes. Simulated herbivory has been used to study the transcriptional and other early regulation events of these plant responses. In this study, constitutive and induced transcriptional responses to artificial bark stripping are compared in the needles and the bark of Pinus radiata to the responses from application of the plant stressor, methyl jasmonate. The time progression of the responses was assessed over a 4-week period. Results Of the 6312 unique transcripts studied, 86.6% were differentially expressed between the needles and the bark prior to treatment. The most abundant constitutive transcripts were related to defence and photosynthesis and their expression did not differ between the needles and the bark. While no differential expression of transcripts were detected in the needles following bark stripping, in the bark this treatment caused an up-regulation and down-regulation of genes associated with primary and secondary metabolism. Methyl jasmonate treatment caused differential expression of transcripts in both the bark and the needles, with individual genes related to primary metabolism more responsive than those associated with secondary metabolism. The up-regulation of genes related to sugar break-down and the repression of genes related with photosynthesis, following both treatments was consistent with the strong down-regulation of sugars that has been observed in the same population. Relative to the control, the treatments caused a differential expression of genes involved in signalling, photosynthesis, carbohydrate and lipid metabolism as well as defence and water stress. However, non-overlapping transcripts were detected between the needles and the bark, between treatments and at different times of assessment. Methyl jasmonate induced more transcriptional responses in the bark than bark stripping, although the peak of expression following both treatments was detected 7 days post treatment application. The effects of bark stripping were localised, and no systemic changes were detected in the needles. Conclusion There are constitutive and induced differences in the needle and bark transcriptome of Pinus radiata. Some expression responses to bark stripping may differ from other biotic and abiotic stresses, which contributes to the understanding of plant molecular responses to diverse stresses. Whether the gene expression changes are heritable and how they differ between resistant and susceptible families identified in earlier studies needs further investigation.

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Chemical Traits that Predict Susceptibility of Pinus radiata to Marsupial Bark Stripping

Cited by 3 publications

References 76 publications

Genomic selection for resistance to mammalian bark stripping and associated chemical compounds in radiata pine

Genomic selection for resistance to mammalian bark stripping and associated chemical compounds in radiata pine

Additive genetic variation in Pinus radiata bark chemistry and the chemical traits associated with variation in mammalian bark stripping

Analysis of the transcriptome of the needles and bark of Pinus radiata induced by bark stripping and methyl jasmonate

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