Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry
Abstract Background Pyrolysis-molecular beam mass spectrometry (py-MBMS) analysis of a pedigree of Populus trichocarpa was performed to study the phenotypic plasticity and heritability of lignin content and lignin monomer composition. Instrumental and microspatial environmental variability were obse...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-03-01
|
| Series: | Biotechnology for Biofuels |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13068-021-01908-y |
| _version_ | 1818208556108742656 |
|---|---|
| author | Anne E. Harman-Ware David Macaya-Sanz Chanaka Roshan Abeyratne Crissa Doeppke Kathleen Haiby Gerald A. Tuskan Brian Stanton Stephen P. DiFazio Mark F. Davis |
| author_facet | Anne E. Harman-Ware David Macaya-Sanz Chanaka Roshan Abeyratne Crissa Doeppke Kathleen Haiby Gerald A. Tuskan Brian Stanton Stephen P. DiFazio Mark F. Davis |
| author_sort | Anne E. Harman-Ware |
| collection | DOAJ |
| description | Abstract Background Pyrolysis-molecular beam mass spectrometry (py-MBMS) analysis of a pedigree of Populus trichocarpa was performed to study the phenotypic plasticity and heritability of lignin content and lignin monomer composition. Instrumental and microspatial environmental variability were observed in the spectral features and corrected to reveal underlying genetic variance of biomass composition. Results Lignin-derived ions (including m/z 124, 154, 168, 194, 210 and others) were highly impacted by microspatial environmental variation which demonstrates phenotypic plasticity of lignin composition in Populus trichocarpa biomass. Broad-sense heritability of lignin composition after correcting for microspatial and instrumental variation was determined to be H 2 = 0.56 based on py-MBMS ions known to derive from lignin. Heritability of lignin monomeric syringyl/guaiacyl ratio (S/G) was H 2 = 0.81. Broad-sense heritability was also high (up to H 2 = 0.79) for ions derived from other components of the biomass including phenolics (e.g., salicylates) and C5 sugars (e.g., xylose). Lignin and phenolic ion abundances were primarily driven by maternal effects, and paternal effects were either similar or stronger for the most heritable carbohydrate-derived ions. Conclusions We have shown that many biopolymer-derived ions from py-MBMS show substantial phenotypic plasticity in response to microenvironmental variation in plantations. Nevertheless, broad-sense heritability for biomass composition can be quite high after correcting for spatial environmental variation. This work outlines the importance in accounting for instrumental and microspatial environmental variation in biomass composition data for applications in heritability measurements and genomic selection for breeding poplar for renewable fuels and materials. |
| first_indexed | 2024-12-12T04:46:41Z |
| format | Article |
| id | doaj.art-6fac8f6e31c04f19ac355d2edb98a53d |
| institution | Directory Open Access Journal |
| issn | 1754-6834 |
| language | English |
| last_indexed | 2024-12-12T04:46:41Z |
| publishDate | 2021-03-01 |
| publisher | BMC |
| record_format | Article |
| series | Biotechnology for Biofuels |
| spelling | doaj.art-6fac8f6e31c04f19ac355d2edb98a53d2022-12-22T00:37:37ZengBMCBiotechnology for Biofuels1754-68342021-03-0114111510.1186/s13068-021-01908-yAccurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometryAnne E. Harman-Ware0David Macaya-Sanz1Chanaka Roshan Abeyratne2Crissa Doeppke3Kathleen Haiby4Gerald A. Tuskan5Brian Stanton6Stephen P. DiFazio7Mark F. Davis8Renewable Resources and Enabling Sciences Center, National Renewable Energy LaboratoryDepartment of Biology, West Virginia UniversityDepartment of Biology, West Virginia UniversityRenewable Resources and Enabling Sciences Center, National Renewable Energy LaboratoryGreenwood ResourcesBiosciences Division, Oak Ridge National LaboratoryGreenwood ResourcesDepartment of Biology, West Virginia UniversityBiosciences Center, National Renewable Energy LaboratoryAbstract Background Pyrolysis-molecular beam mass spectrometry (py-MBMS) analysis of a pedigree of Populus trichocarpa was performed to study the phenotypic plasticity and heritability of lignin content and lignin monomer composition. Instrumental and microspatial environmental variability were observed in the spectral features and corrected to reveal underlying genetic variance of biomass composition. Results Lignin-derived ions (including m/z 124, 154, 168, 194, 210 and others) were highly impacted by microspatial environmental variation which demonstrates phenotypic plasticity of lignin composition in Populus trichocarpa biomass. Broad-sense heritability of lignin composition after correcting for microspatial and instrumental variation was determined to be H 2 = 0.56 based on py-MBMS ions known to derive from lignin. Heritability of lignin monomeric syringyl/guaiacyl ratio (S/G) was H 2 = 0.81. Broad-sense heritability was also high (up to H 2 = 0.79) for ions derived from other components of the biomass including phenolics (e.g., salicylates) and C5 sugars (e.g., xylose). Lignin and phenolic ion abundances were primarily driven by maternal effects, and paternal effects were either similar or stronger for the most heritable carbohydrate-derived ions. Conclusions We have shown that many biopolymer-derived ions from py-MBMS show substantial phenotypic plasticity in response to microenvironmental variation in plantations. Nevertheless, broad-sense heritability for biomass composition can be quite high after correcting for spatial environmental variation. This work outlines the importance in accounting for instrumental and microspatial environmental variation in biomass composition data for applications in heritability measurements and genomic selection for breeding poplar for renewable fuels and materials.https://doi.org/10.1186/s13068-021-01908-yBiomass compositionPoplarHeritabilityPyrolysis-molecular beam mass spectrometryPhenotypic plasticity |
| spellingShingle | Anne E. Harman-Ware David Macaya-Sanz Chanaka Roshan Abeyratne Crissa Doeppke Kathleen Haiby Gerald A. Tuskan Brian Stanton Stephen P. DiFazio Mark F. Davis Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry Biotechnology for Biofuels Biomass composition Poplar Heritability Pyrolysis-molecular beam mass spectrometry Phenotypic plasticity |
| title | Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry |
| title_full | Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry |
| title_fullStr | Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry |
| title_full_unstemmed | Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry |
| title_short | Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry |
| title_sort | accurate determination of genotypic variance of cell wall characteristics of a populus trichocarpa pedigree using high throughput pyrolysis molecular beam mass spectrometry |
| topic | Biomass composition Poplar Heritability Pyrolysis-molecular beam mass spectrometry Phenotypic plasticity |
| url | https://doi.org/10.1186/s13068-021-01908-y |
| work_keys_str_mv | AT anneeharmanware accuratedeterminationofgenotypicvarianceofcellwallcharacteristicsofapopulustrichocarpapedigreeusinghighthroughputpyrolysismolecularbeammassspectrometry AT davidmacayasanz accuratedeterminationofgenotypicvarianceofcellwallcharacteristicsofapopulustrichocarpapedigreeusinghighthroughputpyrolysismolecularbeammassspectrometry AT chanakaroshanabeyratne accuratedeterminationofgenotypicvarianceofcellwallcharacteristicsofapopulustrichocarpapedigreeusinghighthroughputpyrolysismolecularbeammassspectrometry AT crissadoeppke accuratedeterminationofgenotypicvarianceofcellwallcharacteristicsofapopulustrichocarpapedigreeusinghighthroughputpyrolysismolecularbeammassspectrometry AT kathleenhaiby accuratedeterminationofgenotypicvarianceofcellwallcharacteristicsofapopulustrichocarpapedigreeusinghighthroughputpyrolysismolecularbeammassspectrometry AT geraldatuskan accuratedeterminationofgenotypicvarianceofcellwallcharacteristicsofapopulustrichocarpapedigreeusinghighthroughputpyrolysismolecularbeammassspectrometry AT brianstanton accuratedeterminationofgenotypicvarianceofcellwallcharacteristicsofapopulustrichocarpapedigreeusinghighthroughputpyrolysismolecularbeammassspectrometry AT stephenpdifazio accuratedeterminationofgenotypicvarianceofcellwallcharacteristicsofapopulustrichocarpapedigreeusinghighthroughputpyrolysismolecularbeammassspectrometry AT markfdavis accuratedeterminationofgenotypicvarianceofcellwallcharacteristicsofapopulustrichocarpapedigreeusinghighthroughputpyrolysismolecularbeammassspectrometry |