Author
Listed:
- Jack P. Wang
(Northeast Forestry University
North Carolina State University)
- Megan L. Matthews
(North Carolina State University)
- Cranos M. Williams
(North Carolina State University)
- Rui Shi
(North Carolina State University)
- Chenmin Yang
(North Carolina State University)
- Sermsawat Tunlaya-Anukit
(North Carolina State University)
- Hsi-Chuan Chen
(North Carolina State University)
- Quanzi Li
(Chinese Academy of Forestry)
- Jie Liu
(North Carolina State University)
- Chien-Yuan Lin
(North Carolina State University
Lawrence Berkeley National Laboratory)
- Punith Naik
(North Carolina State University)
- Ying-Hsuan Sun
(National Chung-Hsing University)
- Philip L. Loziuk
(North Carolina State University)
- Ting-Feng Yeh
(National Taiwan University)
- Hoon Kim
(University of Wisconsin)
- Erica Gjersing
(National Renewable Energy Laboratory)
- Todd Shollenberger
(National Renewable Energy Laboratory)
- Christopher M. Shuford
(North Carolina State University)
- Jina Song
(North Carolina State University)
- Zachary Miller
(North Carolina State University)
- Yung-Yun Huang
(North Carolina State University)
- Charles W. Edmunds
(North Carolina State University)
- Baoguang Liu
(Beihua University)
- Yi Sun
(Northeast Forestry University)
- Ying-Chung Jimmy Lin
(Northeast Forestry University
North Carolina State University
National Taiwan University)
- Wei Li
(Northeast Forestry University
North Carolina State University)
- Hao Chen
(North Carolina State University)
- Ilona Peszlen
(North Carolina State University)
- Joel J. Ducoste
(North Carolina State University)
- John Ralph
(University of Wisconsin)
- Hou-Min Chang
(North Carolina State University)
- David C. Muddiman
(North Carolina State University)
- Mark F. Davis
(Lawrence Berkeley National Laboratory)
- Chris Smith
(North Carolina State University)
- Fikret Isik
(North Carolina State University)
- Ronald Sederoff
(North Carolina State University)
- Vincent L. Chiang
(Northeast Forestry University
North Carolina State University
North Carolina State University)
Abstract
A multi-omics quantitative integrative analysis of lignin biosynthesis can advance the strategic engineering of wood for timber, pulp, and biofuels. Lignin is polymerized from three monomers (monolignols) produced by a grid-like pathway. The pathway in wood formation of Populus trichocarpa has at least 21 genes, encoding enzymes that mediate 37 reactions on 24 metabolites, leading to lignin and affecting wood properties. We perturb these 21 pathway genes and integrate transcriptomic, proteomic, fluxomic and phenomic data from 221 lines selected from ~2000 transgenics (6-month-old). The integrative analysis estimates how changing expression of pathway gene or gene combination affects protein abundance, metabolic-flux, metabolite concentrations, and 25 wood traits, including lignin, tree-growth, density, strength, and saccharification. The analysis then predicts improvements in any of these 25 traits individually or in combinations, through engineering expression of specific monolignol genes. The analysis may lead to greater understanding of other pathways for improved growth and adaptation.
Suggested Citation
Jack P. Wang & Megan L. Matthews & Cranos M. Williams & Rui Shi & Chenmin Yang & Sermsawat Tunlaya-Anukit & Hsi-Chuan Chen & Quanzi Li & Jie Liu & Chien-Yuan Lin & Punith Naik & Ying-Hsuan Sun & Phili, 2018.
"Improving wood properties for wood utilization through multi-omics integration in lignin biosynthesis,"
Nature Communications, Nature, vol. 9(1), pages 1-16, December.
Handle:
RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03863-z
DOI: 10.1038/s41467-018-03863-z
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