文献类型：期刊文献

英文题名：Improving wood properties for wood utilization through multi-omics integration in lignin biosynthesis

作者：Wang, Jack P.[1,2] Matthews, Megan L.[3] Williams, Cranos M.[3] Shi, Rui[2] Yang, Chenmin[2] Tunlaya-Anukit, Sermsawat[2] Chen, Hsi-Chuan[2] Li, Quanzi[4] Liu, Jie[2] Lin, Chien-Yuan[2,5] Naik, Punith[6] Sun, Ying-Hsuan[7] Loziuk, Philip L.[8] Yeh, Ting-Feng[9] Kim, Hoon[10,11] Gjersing, Erica[12] Shollenberger, Todd[12] Shuford, Christopher M.[8] Song, Jina[3] Miller, Zachary[13] Huang, Yung-Yun[14] Edmunds, Charles W.[13] Liu, Baoguang[15] Sun, Yi[1] Lin, Ying-Chung Jimmy[1,2,16] Li, Wei[1,2] Chen, Hao[2] Peszlen, Ilona[13] Ducoste, Joel J.[6] Ralph, John[10,11] Chang, Hou-Min[13] Muddiman, David C.[8] Davis, Mark F.[5] Smith, Chris[17] Isik, Fikret[18] Sederoff, Ronald[2] Chiang, Vincent L.[1,2,13]

第一作者：Wang, Jack P.

通信作者：Chiang, VL[1];Chiang, VL[2];Chiang, VL[3]

机构：[1]Northest Forestry Univ, State Key Lab Tree Genet & Breeding, Harbin 150040, Heilongjiang, Peoples R China;[2]North Carolina State Univ, Dept Forestry & Environm Resources, Forest Biotechnol Grp, Raleigh, NC 27695 USA;[3]North Carolina State Univ, Elect & Comp Engn, Raleigh, NC 27695 USA;[4]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[5]Lawrence Berkeley Natl Lab, Joint BioEnergy Inst, Emeryville, CA 94608 USA;[6]North Carolina State Univ, Civil Construct & Environm Engn, Raleigh, NC 27695 USA;[7]Natl Chung Hsing Univ, Dept Forestry, Taichung 40227, Taiwan;[8]North Carolina State Univ, Dept Chem, WM Keck Fourier Transform Mass Spectrometry Lab, Raleigh, NC 27695 USA;[9]Natl Taiwan Univ, Sch Forestry & Resource Conservat, Taipei 10617, Taiwan;[10]Univ Wisconsin, Wisconsin Energy Inst, Dept Biochem, Madison, WI 53726 USA;[11]Univ Wisconsin, Wisconsin Energy Inst, DOE Great Lakes Bioenergy Res Ctr, Madison, WI 53726 USA;[12]Natl Renewable Energy Lab, Natl Bioenergy Ctr, Golden, CO 80401 USA;[13]North Carolina State Univ, Dept Forest Biomat, Raleigh, NC 27695 USA;[14]North Carolina State Univ, Dept Operat Res, Raleigh, NC 27695 USA;[15]Beihua Univ, Dept Forestry, Jilin 132013, Jilin, Peoples R China;[16]Natl Taiwan Univ, Dept Life Sci, Coll Life Sci, Taipei 10617, Taiwan;[17]North Carolina State Univ, Bioinformat Res Ctr, Raleigh, NC 27695 USA;[18]North Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA

年份：2018

卷号：9

期号：1

外文期刊名：NATURE COMMUNICATIONS

收录：;Scopus(收录号：2-s2.0-85045890118);WOS:【SCI-EXPANDED(收录号:WOS:000430541000004)】；

基金：This work was supported by the National Natural Science Foundation of China (NSFC) Grants 31430093, 31470672, and 31522014. We also thank the financial support from the U.S. National Science Foundation, Plant Genome Research Program Grant DBI-0922391, the NC State University Jordan Family Distinguished Professor Endowment, and the NC State University Forest Biotechnology Industrial Research Consortium. H.K. and J.R., and the NMR use were supported in part by the DOE Great Lakes Bioenergy Research Center (DOE BER Office of Science DE-FC02-07ER64494). The saccharification assay used in this study was developed as part of the BioEnergy Science Center. The BioEnergy Science Center is a U.S. Department of Energy Bioenergy Research Center supported by the Office of Biological and Environmental Research in the DOE Office of Science.

语种：英文

摘要：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 similar to 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.