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

Ali, Shahjahan; Serba, Desalegn D.; Walker, Dennis; Jenkins, Jerry; Schmutz, Jeremy; Bhamidimarri, Suresh; Saha, Malay C.

doi:10.1111/gcbb.12731

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

Journal Article · Wed Aug 26 00:00:00 EDT 2020 · Global Change Biology. Bioenergy

DOI:https://doi.org/10.1111/gcbb.12731· OSTI ID:1657319

Ali, Shahjahan ^[1]; Serba, Desalegn D. ^[2]; Walker, Dennis ^[1]; Jenkins, Jerry ^[3]; Schmutz, Jeremy ^[4]; Bhamidimarri, Suresh ^[5];

^[1]

Noble Research Institute, LLC Ardmore OK USA
Kansas State University Agricultural Research Center‐Hays Hays KS USA
Hudson Alpha Institute for Biotechnology Huntsville AL USA
Hudson Alpha Institute for Biotechnology Huntsville AL USA, Department of Energy Joint Genome Institute Walnut Creek CA USA
Noble Research Institute, LLC Ardmore OK USA, Corteva Agriscience Connell WA USA

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‐F ₁ 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‐F ₁ 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.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: DE‐AC02‐05CH11231

OSTI ID:: 1657319

Alternate ID(s):: OSTI ID: 1786947

Journal Information:: Global Change Biology. Bioenergy, Journal Name: Global Change Biology. Bioenergy Vol. 12 Journal Issue: 11; ISSN 1757-1693

Publisher:: Wiley-BlackwellCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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