Cell Wall Composition and Underlying QTL in an F1 Pseudo-Testcross Population of Switchgrass

被引:0
|
作者
Desalegn D. Serba
Robert W. Sykes
Erica L. Gjersing
Stephen R. Decker
Guillaume Daverdin
Katrien M. Devos
E. Charles Brummer
Malay C. Saha
机构
[1] Forage Improvement Division,Institute of Plant Breeding, Genetics and Genomics, and Department of Crop and Soil Sciences
[2] Samuel Roberts Noble Foundation,Department of Plant Biology
[3] National Renewable Energy Laboratory,BioEnergy Science Center (BESC)
[4] University of Georgia,Plant Breeding Center, Department of Plant Sciences
[5] University of Georgia,undefined
[6] Oak Ridge National Laboratory,undefined
[7] University of California-Davis,undefined
[8] Kansas State University,undefined
[9] Agricultural Research Center-Hays,undefined
来源
BioEnergy Research | 2016年 / 9卷
关键词
Lignin content; Quantitative trait loci; Sugar release; Glucose; Xylose; Recalcitrant;
D O I
暂无
中图分类号
学科分类号
摘要
Natural genetic variation for reduced recalcitrance can be used to improve switchgrass for biofuel production. A full-sib switchgrass mapping population developed by crossing a lowland genotype, AP13, and upland genotype, VS16, was evaluated at three locations (Ardmore and Burneyville, OK and Watkinsville, GA). Biomass harvested after senescence in 2009 and 2010 was evaluated at the National Renewable Energy Laboratory (NREL) for sugar release using enzymatic hydrolysis and for lignin content and syringyl/guaiacyl lignin monomer (S/G) ratio using pyrolysis molecular beam mass spectrometry (py-MBMS). Glucose and xylose release ranged from 120 to 313 and 123 to 263 mg g−1, respectively, while lignin content ranged from 19 to 27 % of the dry biomass. Statistically significant differences were observed among the genotypes and the environments for the cell wall composition traits. Regression analysis showed that a unit increase in lignin content reduced total sugar release by an average of 10 mg g−1. Quantitative trait loci (QTL) analysis detected 9 genomic regions underlying sugar release and 14 for lignin content. The phenotypic variation explained by the individual QTL identified for sugar release ranged from 4.5 to 9.4 and for lignin content from 3.8 to 11.1 %. Mapping of the QTL regions to the switchgrass genome sequence (v1.1) found that some of the QTL colocalized with genes involved in carbohydrate processing and metabolism, plant development, defense systems, and transcription factors. The markers associated with QTL can be implemented in breeding programs to efficiently develop improved switchgrass cultivars for biofuel production.
引用
收藏
页码:836 / 850
页数:14
相关论文
共 50 条
  • [31] Interleukin-5 mediates peritoneal eosinophilia induced by the F1 cell wall fraction of Histoplasma capsulatum
    Sá-Nunes, A
    Medeiros, AI
    Faccioli, LH
    BRAZILIAN JOURNAL OF MEDICAL AND BIOLOGICAL RESEARCH, 2004, 37 (03) : 343 - 346
  • [32] SSR-based genetic linkage map construction in pistachio using an interspecific F1 population and QTL analysis for leaf and shoot traits
    Elmira Ziya Motalebipour
    Hatice Gozel
    Mortaza Khodaeiaminjan
    Salih Kafkas
    Molecular Breeding, 2018, 38
  • [33] SSR-based genetic linkage map construction in pistachio using an interspecific F1 population and QTL analysis for leaf and shoot traits
    Motalebipour, Elmira Ziya
    Gozel, Hatice
    Khodaeiaminjan, Mortaza
    Kafkas, Salih
    MOLECULAR BREEDING, 2018, 38 (11)
  • [34] Genetic analysis and QTL mapping of early root bulking in an F1 population of non-inbred parents in cassava (Manihot esculenta Crantz)
    E. Okogbenin
    M. Fregene
    Theoretical and Applied Genetics, 2002, 106 : 58 - 66
  • [35] Genetic analysis and QTL mapping of early root bulking in an F1 population of non-inbred parents in cassava (Manihot esculenta Crantz)
    Okogbenin, E
    Fregene, M
    THEORETICAL AND APPLIED GENETICS, 2002, 106 (01) : 58 - 66
  • [36] Fruit size QTL analysis of an F1 population derived from a cross between a domesticated sweet cherry cultivar and a wild forest sweet cherry
    Guorong Zhang
    Audrey M. Sebolt
    Suneth S. Sooriyapathirana
    Dechun Wang
    Marco CAM Bink
    James W. Olmstead
    Amy F. Iezzoni
    Tree Genetics & Genomes, 2010, 6 : 25 - 36
  • [37] Fruit size QTL analysis of an F1 population derived from a cross between a domesticated sweet cherry cultivar and a wild forest sweet cherry
    Zhang, Guorong
    Sebolt, Audrey M.
    Sooriyapathirana, Suneth S.
    Wang, Dechun
    Bink, Marco C. A. M.
    Olmstead, James W.
    Iezzoni, Amy F.
    TREE GENETICS & GENOMES, 2010, 6 (01) : 25 - 36
  • [38] Bayesian QTL mapping using genome-wide SSR markers and segregating population derived from a cross of two commercial F1 hybrids of tomato
    Ohyama, Akio
    Shirasawa, Kenta
    Matsunaga, Hiroshi
    Negoro, Satomi
    Miyatake, Koji
    Yamaguchi, Hirotaka
    Nunome, Tsukasa
    Iwata, Hiroyoshi
    Fukuoka, Hiroyuki
    Hayashi, Takeshi
    THEORETICAL AND APPLIED GENETICS, 2017, 130 (08) : 1601 - 1616
  • [39] Bayesian QTL mapping using genome-wide SSR markers and segregating population derived from a cross of two commercial F1 hybrids of tomato
    Akio Ohyama
    Kenta Shirasawa
    Hiroshi Matsunaga
    Satomi Negoro
    Koji Miyatake
    Hirotaka Yamaguchi
    Tsukasa Nunome
    Hiroyoshi Iwata
    Hiroyuki Fukuoka
    Takeshi Hayashi
    Theoretical and Applied Genetics, 2017, 130 : 1601 - 1616
  • [40] Identification of QTL controlling volatile terpene contents in tea plant (Camellia sinensis) using a high-aroma 'Huangdan' x 'Jinxuan' F1 population
    Chen, Si
    Li, Xuanye
    Liu, Yujie
    Chen, Jiedan
    Ma, Jianqiang
    Chen, Liang
    FRONTIERS IN PLANT SCIENCE, 2023, 14