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Riquelme S, Campos JV, Pecio Ł, Alzamora R, Mardones C, Simonet AM, Arteaga-Pérez LE, Rubilar R, Fiehn O, Pérez AJ. Sirex noctilio infestation led to inevitable pine death despite activating pathways involved in tolerance. Phytochemistry 2022; 203:113350. [PMID: 35973612 DOI: 10.1016/j.phytochem.2022.113350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/12/2022] [Accepted: 07/22/2022] [Indexed: 06/15/2023]
Abstract
Defense-related metabolome traits in pine species after infestation by Sirex noctilio are largely unknown, despite, in most cases, trees being overwhelmed. Using LC-MS-based untargeted metabolomics, we revealed the systemic metabolic changes induced by this insect in 14-year-old Pinus radiata trees, the most affected species worldwide. An immediate metabolome alteration was expressed in needles after infestation, including the up-regulation of flavonols, flavan-3-ols, oxyneolignans, auxins, proline, and tryptophan, among others. The flavan-3-ols (catechin and procyanidin B1) suggested a rapidly induced photoprotection mechanism aided by diverting proline as an alternative substrate for respiration to compensate for the progressive chlorosis that degrades photosystems. Meanwhile, glutathione, glutamate, and ascorbate levels significantly dropped in needles, which may indicate the critical oxidative stress that trees had to face since the onset of the infestation. They were not fully replenished after long-term infestation, and redox homeostasis was probably not achieved, compromising tree survival. Nevertheless, a huge auxins overexpression detected in needles throughout the infestation may reflect tolerance against the premature senescence caused by the woodwasp venom. In contrast, the metabolome of wood tissues remained initially unchanged, although it seems to collapse after three months. Overall, the metabolomics strategy adopted in this work evidenced its usefulness in uncovering the fundamental roles of plants' chemical defense that govern interactions with specific stressors.
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Affiliation(s)
- Sebastián Riquelme
- Departamento de Análisis Instrumental, Facultad de Farmacia, Universidad de Concepción, Concepción, Chile
| | - Jasna V Campos
- Departamento de Análisis Instrumental, Facultad de Farmacia, Universidad de Concepción, Concepción, Chile
| | - Łukasz Pecio
- Department of Biochemistry and Crop Quality, Institute of Soil Science and Plant Cultivation, State Research Institute, ul. Czartoryskich 8, Puławy, 24-100, Poland
| | - Rosa Alzamora
- Departamento Manejo de Bosques y Medio Ambiente, Facultad de Ciencias Forestales, Universidad de Concepción, Victoria 631, Concepción, Chile; Centro Nacional de Excelencia para la Industria de la Madera (CENAMAD), Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago, Chile
| | - Claudia Mardones
- Departamento de Análisis Instrumental, Facultad de Farmacia, Universidad de Concepción, Concepción, Chile; Unidad de Desarrollo Tecnológico, UDT, Universidad de Concepción, Coronel, Chile
| | - Ana M Simonet
- Allelopathy Group, Department of Organic Chemistry, Institute of Biomolecules (INBIO), Campus de Excelencia Internacional (ceiA3), School of Science, University of Cadiz, Puerto Real, Cadiz, Spain
| | - Luis E Arteaga-Pérez
- Laboratory of Thermal and Catalytic Processes (LPTC), Department of Wood Engineering, University of Bío-Bío, Chile
| | - Rafael Rubilar
- Centro Nacional de Excelencia para la Industria de la Madera (CENAMAD), Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago, Chile; Cooperativa de Productividad Forestal, Departamento de Silvicultura, Facultad de Ciencias Forestales, Universidad de Concepción, Victoria 631, Concepción, Chile
| | - Oliver Fiehn
- NIH West Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, CA, 95616, USA
| | - Andy J Pérez
- Departamento de Análisis Instrumental, Facultad de Farmacia, Universidad de Concepción, Concepción, Chile; Unidad de Desarrollo Tecnológico, UDT, Universidad de Concepción, Coronel, Chile.
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Castander-Olarieta A, Pereira C, Mendes VM, Correia S, Manadas B, Canhoto J, Montalbán IA, Moncaleán P. Thermopriming-associated proteome and sugar content responses in Pinus radiata embryogenic tissue. Plant Sci 2022; 321:111327. [PMID: 35696927 DOI: 10.1016/j.plantsci.2022.111327] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/02/2022] [Accepted: 05/12/2022] [Indexed: 06/15/2023]
Abstract
Improving the capacity of plants to face adverse environmental conditions requires a deep understanding of the molecular mechanisms governing stress response and adaptation. Proteomics, combined with metabolic analyses, offers a wide resource of information to be used in plant breeding programs. Previous studies have shown that somatic embryogenesis in Pinus spp. is a suitable tool not only to investigate stress response processes but also to modulate the behaviour of somatic plants. Based on this, the objective of this study was to analyse the protein and soluble sugar profiles of Pinus radiata embryonal masses after the application of high temperatures to unravel the mechanisms involved in thermopriming and memory acquisition at early stages of the somatic embryogenesis process. Results confirmed that heat provokes deep readjustments in the life cycle of proteins, together with a significant reduction in the carbon-flux of central-metabolism pathways. Heat-priming also promotes the accumulation of proteins involved in oxidative stress defence, in the synthesis of specific amino acids such as isoleucine, influences cell division, the organization of the cytoskeleton and cell-walls, and modifies the levels of free soluble sugars like glucose or fructose. All this seems to be regulated by proteins linked with epigenetic, transcriptional and post-transcriptional mechanisms.
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Affiliation(s)
| | - Cátia Pereira
- Department of Forestry Science, NEIKER-BRTA, Arkaute, Spain; Center for Functional Ecology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Vera M Mendes
- CNC - Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
| | - Sandra Correia
- Center for Functional Ecology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Bruno Manadas
- CNC - Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
| | - Jorge Canhoto
- Center for Functional Ecology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
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Bakar AHA, Legg M, Konings D, Alam F. Ultrasonic guided wave measurement in a wooden rod using shear transducer arrays. Ultrasonics 2022; 119:106583. [PMID: 34634730 DOI: 10.1016/j.ultras.2021.106583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 09/11/2021] [Indexed: 06/13/2023]
Abstract
Research related to acoustic/ultrasonic guided wave testing in wood is still at an early stage. This paper describes the first study to perform ultrasonic guided wave measurements in a wooden rod using arrays of shear transducers. Enhancement of either longitudinal L(0,1) or torsional T(0,1) wave modes and suppression of other modes was able to be achieved using these arrays. At low frequencies, it was found that the L(0,1) wave mode had a similar speed to that obtained using the traditional resonance and time of flight methods. The torsional T(0,1) wave mode has not been used before for non-destructive testing of wood. Since it is non-dispersive, it would appear to be suitable for wood property estimation and structural health monitoring of wooden structures. These results indicate that ultrasonic guided wave testing techniques have strong potential to be used to provide improved measurement of wood properties and structural health monitoring of wooden structures.
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Affiliation(s)
- Adli Hasan Abu Bakar
- Department of Mechanical and Electrical Engineering, Massey University, Auckland, New Zealand.
| | - Mathew Legg
- Department of Mechanical and Electrical Engineering, Massey University, Auckland, New Zealand.
| | - Daniel Konings
- Department of Mechanical and Electrical Engineering, Massey University, Auckland, New Zealand.
| | - Fakhrul Alam
- Department of Mechanical and Electrical Engineering, Massey University, Auckland, New Zealand.
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Li Y, Klápště J, Telfer E, Wilcox P, Graham N, Macdonald L, Dungey HS. Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information. BMC Genomics 2019; 20:1026. [PMID: 31881838 PMCID: PMC6935163 DOI: 10.1186/s12864-019-6420-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Accepted: 12/22/2019] [Indexed: 12/23/2022] Open
Abstract
Background Non-key traits (NKTs) in radiata pine (Pinus radiata D. Don) refer to traits other than growth, wood density and stiffness, but still of interest to breeders. Branch-cluster frequency, stem straightness, external resin bleeding and internal checking are examples of such traits and are targeted for improvement in radiata pine research programmes. Genomic selection can be conducted before the performance of selection candidates is available so that generation intervals can be reduced. Radiata pine is a species with a long generation interval, which if reduced could significantly increase genetic gain per unit of time. The aim of this study was to evaluate the accuracy and predictive ability of genomic selection and its efficiency over traditional forward selection in radiata pine for the following NKTs: branch-cluster frequency, stem straightness, internal checking, and external resin bleeding. Results Nine hundred and eighty-eight individuals were genotyped using exome capture genotyping by sequencing (GBS) and 67,168 single nucleotide polymorphisms (SNPs) used to develop genomic estimated breeding values (GEBVs) with genomic best linear unbiased prediction (GBLUP). The documented pedigree was corrected using a subset of 704 SNPs. The percentage of trio parentage confirmed was about 49% and about 50% of parents were re-assigned. The accuracy of GEBVs was 0.55–0.75 when using the documented pedigree and 0.61–0.80 when using the SNP-corrected pedigree. A higher percentage of additive genetic variance was explained and a higher predictive ability was observed when using the SNP-corrected pedigree than using the documented pedigree. With the documented pedigree, genomic selection was similar to traditional forward selection when assuming a generation interval of 17 years, but worse than traditional forward selection when assuming a generation interval of 14 years. After the pedigree was corrected, genomic selection led to 37–115% and 13–77% additional genetic gain over traditional forward selection when generation intervals of 17 years and 14 years were assumed, respectively. Conclusion It was concluded that genomic selection with a pedigree corrected by SNP information was an efficient way of improving non-key traits in radiata pine breeding.
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Affiliation(s)
- Yongjun Li
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand. .,Agriclture Victoria, AgriBio Centre, 5 Ring Road, Bundoora, VIC, 3083, Australia.
| | - Jaroslav Klápště
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Emily Telfer
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Phillip Wilcox
- University of Otago, 362 Leith Steet, North Dunedin, Dunedin, 9016, New Zealand
| | - Natalie Graham
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Lucy Macdonald
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Heidi S Dungey
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
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Li Y, Klápště J, Telfer E, Wilcox P, Graham N, Macdonald L, Dungey HS. Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information. BMC Genomics 2019; 20:1026. [PMID: 31881838 DOI: 10.1186/s12864-12019-16420-12868] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Accepted: 12/22/2019] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Non-key traits (NKTs) in radiata pine (Pinus radiata D. Don) refer to traits other than growth, wood density and stiffness, but still of interest to breeders. Branch-cluster frequency, stem straightness, external resin bleeding and internal checking are examples of such traits and are targeted for improvement in radiata pine research programmes. Genomic selection can be conducted before the performance of selection candidates is available so that generation intervals can be reduced. Radiata pine is a species with a long generation interval, which if reduced could significantly increase genetic gain per unit of time. The aim of this study was to evaluate the accuracy and predictive ability of genomic selection and its efficiency over traditional forward selection in radiata pine for the following NKTs: branch-cluster frequency, stem straightness, internal checking, and external resin bleeding. RESULTS Nine hundred and eighty-eight individuals were genotyped using exome capture genotyping by sequencing (GBS) and 67,168 single nucleotide polymorphisms (SNPs) used to develop genomic estimated breeding values (GEBVs) with genomic best linear unbiased prediction (GBLUP). The documented pedigree was corrected using a subset of 704 SNPs. The percentage of trio parentage confirmed was about 49% and about 50% of parents were re-assigned. The accuracy of GEBVs was 0.55-0.75 when using the documented pedigree and 0.61-0.80 when using the SNP-corrected pedigree. A higher percentage of additive genetic variance was explained and a higher predictive ability was observed when using the SNP-corrected pedigree than using the documented pedigree. With the documented pedigree, genomic selection was similar to traditional forward selection when assuming a generation interval of 17 years, but worse than traditional forward selection when assuming a generation interval of 14 years. After the pedigree was corrected, genomic selection led to 37-115% and 13-77% additional genetic gain over traditional forward selection when generation intervals of 17 years and 14 years were assumed, respectively. CONCLUSION It was concluded that genomic selection with a pedigree corrected by SNP information was an efficient way of improving non-key traits in radiata pine breeding.
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Affiliation(s)
- Yongjun Li
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand.
- Agriclture Victoria, AgriBio Centre, 5 Ring Road, Bundoora, VIC, 3083, Australia.
| | - Jaroslav Klápště
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Emily Telfer
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Phillip Wilcox
- University of Otago, 362 Leith Steet, North Dunedin, Dunedin, 9016, New Zealand
| | - Natalie Graham
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Lucy Macdonald
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
| | - Heidi S Dungey
- Scion (New Zealand Forest Research Institute), Private Bag 3020, Rotorua, 3046, New Zealand
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