Genetic markers and tree properties predicting wood biorefining potential in aspen (Populus tremula) bioenergy feedstock.
Bioenergy
Biomass
Biorefining
Feedstock recalcitrance
Forest feedstocks
Saccharification
Journal
Biotechnology for biofuels and bioproducts
ISSN: 2731-3654
Titre abrégé: Biotechnol Biofuels Bioprod
Pays: England
ID NLM: 9918300888906676
Informations de publication
Date de publication:
10 Apr 2023
10 Apr 2023
Historique:
received:
14
02
2023
accepted:
31
03
2023
medline:
11
4
2023
entrez:
10
4
2023
pubmed:
11
4
2023
Statut:
epublish
Résumé
Wood represents the majority of the biomass on land and constitutes a renewable source of biofuels and other bioproducts. However, wood is recalcitrant to bioconversion, raising a need for feedstock improvement in production of, for instance, biofuels. We investigated the properties of wood that affect bioconversion, as well as the underlying genetics, to help identify superior tree feedstocks for biorefining. We recorded 65 wood-related and growth traits in a population of 113 natural aspen genotypes from Sweden ( https://doi.org/10.5061/dryad.gtht76hrd ). These traits included three growth and field performance traits, 20 traits for wood chemical composition, 17 traits for wood anatomy and structure, and 25 wood saccharification traits as indicators of bioconversion potential. Glucose release after saccharification with acidic pretreatment correlated positively with tree stem height and diameter and the carbohydrate content of the wood, and negatively with the content of lignin and the hemicellulose sugar units. Most of these traits displayed extensive natural variation within the aspen population and high broad-sense heritability, supporting their potential in genetic improvement of feedstocks towards improved bioconversion. Finally, a genome-wide association study (GWAS) revealed 13 genetic loci for saccharification yield (on a whole-tree-biomass basis), with six of them intersecting with associations for either height or stem diameter of the trees. The simple growth traits of stem height and diameter were identified as good predictors of wood saccharification yield in aspen trees. GWAS elucidated the underlying genetics, revealing putative genetic markers for bioconversion of bioenergy tree feedstocks.
Sections du résumé
BACKGROUND
BACKGROUND
Wood represents the majority of the biomass on land and constitutes a renewable source of biofuels and other bioproducts. However, wood is recalcitrant to bioconversion, raising a need for feedstock improvement in production of, for instance, biofuels. We investigated the properties of wood that affect bioconversion, as well as the underlying genetics, to help identify superior tree feedstocks for biorefining.
RESULTS
RESULTS
We recorded 65 wood-related and growth traits in a population of 113 natural aspen genotypes from Sweden ( https://doi.org/10.5061/dryad.gtht76hrd ). These traits included three growth and field performance traits, 20 traits for wood chemical composition, 17 traits for wood anatomy and structure, and 25 wood saccharification traits as indicators of bioconversion potential. Glucose release after saccharification with acidic pretreatment correlated positively with tree stem height and diameter and the carbohydrate content of the wood, and negatively with the content of lignin and the hemicellulose sugar units. Most of these traits displayed extensive natural variation within the aspen population and high broad-sense heritability, supporting their potential in genetic improvement of feedstocks towards improved bioconversion. Finally, a genome-wide association study (GWAS) revealed 13 genetic loci for saccharification yield (on a whole-tree-biomass basis), with six of them intersecting with associations for either height or stem diameter of the trees.
CONCLUSIONS
CONCLUSIONS
The simple growth traits of stem height and diameter were identified as good predictors of wood saccharification yield in aspen trees. GWAS elucidated the underlying genetics, revealing putative genetic markers for bioconversion of bioenergy tree feedstocks.
Identifiants
pubmed: 37038157
doi: 10.1186/s13068-023-02315-1
pii: 10.1186/s13068-023-02315-1
pmc: PMC10088276
doi:
Types de publication
Journal Article
Langues
eng
Pagination
65Subventions
Organisme : Knut och Alice Wallenbergs Stiftelse
ID : 2016.0341
Organisme : VINNOVA
ID : 2016-00504
Organisme : Svenska Forskningsrådet Formas
ID : 942-2015-84
Informations de copyright
© 2023. The Author(s).
Références
Plant J. 2012 Jan;69(2):366-75
pubmed: 21950843
Plant J. 2021 Nov;108(4):912-959
pubmed: 34528296
Plant Physiol. 2019 Feb;179(2):601-615
pubmed: 30487140
PLoS One. 2014 Oct 09;9(10):e107189
pubmed: 25299342
Science. 2014 May 16;344(6185):1246843
pubmed: 24833396
Biotechnol Biofuels. 2021 Feb 16;14(1):43
pubmed: 33593413
J Integr Plant Biol. 2018 Dec;60(12):1199-1216
pubmed: 29917310
Mol Biol Evol. 2021 Oct 27;38(11):5034-5050
pubmed: 34329481
New Phytol. 2017 Jan;213(2):799-811
pubmed: 27596807
Front Plant Sci. 2020 Sep 09;11:545748
pubmed: 33013968
Biotechnol Biofuels. 2019 Jun 03;12:135
pubmed: 31171936
Sci Rep. 2022 Sep 27;12(1):16066
pubmed: 36167968
New Phytol. 2013 Nov;200(3):710-726
pubmed: 23889164
Physiol Plant. 2016 Feb;156(2):127-138
pubmed: 26477543
Science. 2014 Apr 4;344(6179):90-3
pubmed: 24700858
New Phytol. 2021 Jul;231(1):60-74
pubmed: 33811329
Proc Natl Acad Sci U S A. 2018 Jun 19;115(25):6506-6511
pubmed: 29784790
Evol Appl. 2020 Jul 15;13(10):2582-2596
pubmed: 33294010
Proc Natl Acad Sci U S A. 2014 Jan 14;111(2):845-50
pubmed: 24379366
Curr Opin Biotechnol. 2013 Apr;24(2):336-43
pubmed: 23228388
Phytochemistry. 2015 Apr;112:210-20
pubmed: 24997793
Nature. 2008 Dec 11;456(7223):720-3
pubmed: 19079047
BMC Genomics. 2019 Nov 20;20(1):875
pubmed: 31747881
New Phytol. 2013 Jan;197(1):162-176
pubmed: 23157484
Nat Commun. 2013;4:2797
pubmed: 24256998
Nat Genet. 2012 Jun 17;44(7):821-4
pubmed: 22706312
Mol Ecol Resour. 2016 Jul;16(4):1023-36
pubmed: 26929265
J Appl Stat. 2019 Jun 15;47(13-15):2312-2327
pubmed: 35707424
Plant Cell. 2018 Jul;30(7):1645-1660
pubmed: 29891568
Sci Rep. 2017 Nov 17;7(1):15798
pubmed: 29150693
J Exp Bot. 2015 Jul;66(14):4109-18
pubmed: 26060266
Front Plant Sci. 2014 Oct 15;5:552
pubmed: 25360142
Science. 2013 Sep 6;341(6150):1103-6
pubmed: 23950498
DNA Res. 2019 Oct 1;26(5):423-431
pubmed: 31580414
ChemSusChem. 2017 Jan 10;10(1):139-150
pubmed: 27882723
Curr Opin Biotechnol. 2019 Apr;56:250-257
pubmed: 30925430
Anal Chem. 1966 Oct;38(11):1549-53
pubmed: 5954687
New Phytol. 2011 Mar;189(4):909-922
pubmed: 21182529
Front Plant Sci. 2020 Apr 08;11:380
pubmed: 32322259
Plant Mol Biol. 2019 Sep;101(1-2):183-202
pubmed: 31286324
Science. 2006 Sep 15;313(5793):1596-604
pubmed: 16973872
Front Bioeng Biotechnol. 2022 Feb 16;10:846592
pubmed: 35252154
Proc Natl Acad Sci U S A. 2018 Nov 13;115(46):E10970-E10978
pubmed: 30373829
Ecol Evol. 2020 Oct 13;10(21):11922-11940
pubmed: 33209260
Proc Natl Acad Sci U S A. 2011 Apr 12;108(15):6300-5
pubmed: 21444820
Proc Natl Acad Sci U S A. 2003 Aug 5;100(16):9440-5
pubmed: 12883005
Genome Biol. 2018 Jun 4;19(1):72
pubmed: 29866176
Gigascience. 2017 Sep 1;6(9):1-7
pubmed: 28938721
BMC Genomics. 2015 Jan 23;16:24
pubmed: 25613058
Front Plant Sci. 2018 Dec 21;9:1912
pubmed: 30622554