Genome‐wide quantitative trait loci detection for biofuel traits in switchgrass (Panicum virgatum L.)

• Main Authors: Shahjahan Ali, Desalegn D. Serba, Dennis Walker, Jerry Jenkins, Jeremy Schmutz, Suresh Bhamidimarri, Malay C. Saha
• Format: Article
• Language: English
• Published: Wiley 2020-11-01
• Series: GCB Bioenergy
• Subjects: biofuel; lignin; NIRS; QTL; sugar; switchgrass
• Online Access: https://doi.org/10.1111/gcbb.12731

Abstract Switchgrass (Panicum virgatum L.) has been identified as a potential feedstock for cellulosic ethanol production in United States for its high biomass yield and adaptation to marginal lands. Composition of the cell wall plays an important role in bioethanol conversion. A total of 209 pseudo‐F1 testcross progenies obtained from a biparental cross, AP13 × VS16, were grown at three locations from 2008 to 2011. Near‐infrared spectroscopy was used to estimate cell wall composition from biomass harvested at maturity. A linkage map of the pseudo‐F1 testcross was constructed with 8,757 SNPs developed by genotyping‐by‐sequencing. Quantitative trait loci (QTL) analysis was performed on eight lignocellulosic traits, namely, klason lignin, sugar, glucose, xylose, hexose, ethanol, hexosoic ethanol, and cell wall ethanol conversion percentage. A total of 327 QTL were recorded for the eight lignocellulosic traits. We have identified 111 major regions in the switchgrass genome that underlie these lignocellulosic traits. Scanning of the genome sequence for genes flanking the QTL peaks, we identified 45 important genes that are involved in lignin biosynthesis, carbohydrate and sugar metabolism, and other biological and cellular functions. Identification of valuable genes associated with QTL along with pleotropic effects of the significant number of QTL suggests that simultaneous selection and genetic improvement of these traits are possible using marker‐assisted selection.