Biotechnology for Biofuels (Jun 2019)

Genetic variation of biomass recalcitrance in a natural Salix viminalis (L.) population

  • Jonas A. Ohlsson,
  • Henrik R. Hallingbäck,
  • Mohamed Jebrane,
  • Anne E. Harman-Ware,
  • Todd Shollenberger,
  • Stephen R. Decker,
  • Mats Sandgren,
  • Ann-Christin Rönnberg-Wästljung

DOI
https://doi.org/10.1186/s13068-019-1479-7
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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Abstract Background Salix spp. are high-productivity crops potentially used for lignocellulosic biofuels such as bioethanol. In general, pretreatment is needed to facilitate the enzymatic depolymerization process. Biomass resistance to degradation, i.e., biomass recalcitrance, is a trait which can be assessed by measuring the sugar released after combined pretreatment and enzymatic hydrolysis. We have examined genetic parameters of enzymatic sugar release and other traits related to biorefinery use in a population of 286 natural Salix viminalis clones. Furthermore, we have evaluated phenotypic and genetic correlations between these traits and performed a genomewide association mapping analysis using a set of 19,411 markers. Results Sugar release (glucose and xylose) after pretreatment and enzymatic saccharification proved highly variable with large genetic and phenotypic variations, and chip heritability estimates (h 2) of 0.23–0.29. Lignin syringyl/guaiacyl (S/G) ratio and wood density were the most heritable traits (h 2 = 0.42 and 0.59, respectively). Sugar release traits were positively correlated, phenotypically and genetically, with biomass yield and lignin S/G ratio. Association mapping revealed seven marker–trait associations below a suggestive significance threshold, including one marker associated with glucose release. Conclusions We identified lignin S/G ratio and shoot diameter as heritable traits that could be relatively easily evaluated by breeders, making them suitable proxy traits for developing low-recalcitrance varieties. One marker below the suggestive threshold for marker associations was identified for sugar release, meriting further investigation while also highlighting the difficulties in employing genomewide association mapping for complex traits.

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