Identification of bioconversion quantitative trait loci in the interspecific cross Sorghum bicolor × Sorghum propinquum
- PMID: 23836384
- DOI: 10.1007/s00122-013-2141-6
Identification of bioconversion quantitative trait loci in the interspecific cross Sorghum bicolor × Sorghum propinquum
Abstract
For lignocellulosic bioenergy to be economically viable, genetic improvements must be made in feedstock quality including both biomass total yield and conversion efficiency. Toward this goal, multiple studies have considered candidate genes and discovered quantitative trait loci (QTL) associated with total biomass accumulation and/or grain production in bioenergy grass species including maize and sorghum. However, very little research has been focused on genes associated with increased biomass conversion efficiency. In this study, Trichoderma viride fungal cellulase hydrolysis activity was measured for lignocellulosic biomass (leaf and stem tissue) obtained from individuals in a F5 recombinant inbred Sorghum bicolor × Sorghum propinquum mapping population. A total of 49 QTLs (20 leaf, 29 stem) were associated with enzymatic conversion efficiency. Interestingly, six high-density QTL regions were identified in which four or more QTLs overlapped. In addition to enzymatic conversion efficiency QTLs, two QTLs were identified for biomass crystallinity index, a trait which has been shown to be inversely correlated with conversion efficiency in bioenergy grasses. The identification of these QTLs provides an important step toward identifying specific genes relevant to increasing conversion efficiency of bioenergy feedstocks. DNA markers linked to these QTLs could be useful in marker-assisted breeding programs aimed at increasing overall bioenergy yields concomitant with selection of high total biomass genotypes.
Similar articles
-
QTL mapping for bioenergy traits in sweet sorghum recombinant inbred lines.G3 (Bethesda). 2021 Oct 19;11(11):jkab314. doi: 10.1093/g3journal/jkab314. G3 (Bethesda). 2021. PMID: 34519766 Free PMC article.
-
Genetic analysis of vegetative branching in sorghum.Theor Appl Genet. 2014 Nov;127(11):2387-403. doi: 10.1007/s00122-014-2384-x. Epub 2014 Aug 28. Theor Appl Genet. 2014. PMID: 25163936
-
Genetic mapping of QTLs for sugar-related traits in a RIL population of Sorghum bicolor L. Moench.Theor Appl Genet. 2010 Jul;121(2):323-36. doi: 10.1007/s00122-010-1312-y. Epub 2010 Mar 14. Theor Appl Genet. 2010. PMID: 20229249
-
Genetic Architecture of Grain Yield-Related Traits in Sorghum and Maize.Int J Mol Sci. 2022 Feb 22;23(5):2405. doi: 10.3390/ijms23052405. Int J Mol Sci. 2022. PMID: 35269548 Free PMC article. Review.
-
Molecular Breeding of Sorghum bicolor, A Novel Energy Crop.Int Rev Cell Mol Biol. 2016;321:221-57. doi: 10.1016/bs.ircmb.2015.09.001. Epub 2015 Oct 31. Int Rev Cell Mol Biol. 2016. PMID: 26811289 Review.
Cited by
-
Genetic complexity of miscanthus cell wall composition and biomass quality for biofuels.BMC Genomics. 2017 May 25;18(1):406. doi: 10.1186/s12864-017-3802-7. BMC Genomics. 2017. PMID: 28545405 Free PMC article.
-
Genotyping by Sequencing of 393 Sorghum bicolor BTx623 × IS3620C Recombinant Inbred Lines Improves Sensitivity and Resolution of QTL Detection.G3 (Bethesda). 2018 Jul 31;8(8):2563-2572. doi: 10.1534/g3.118.200173. G3 (Bethesda). 2018. PMID: 29853656 Free PMC article.
-
Redefining Agricultural Residues as Bioenergy Feedstocks.Materials (Basel). 2016 Jul 28;9(8):635. doi: 10.3390/ma9080635. Materials (Basel). 2016. PMID: 28773750 Free PMC article. Review.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous