Abstract
Key message
Quantitation of leaf surface wax on a population of switchgrass identified three significant QTL present across six environments that contribute to leaf glaucousness and wax composition and that show complex genetic × environmental (G × E) interactions.
Abstract
The C4 perennial grass Panicum virgatum (switchgrass) is a native species of the North American tallgrass prairie. This adaptable plant can be grown on marginal lands and is useful for soil and water conservation, biomass production, and as a forage. Two major switchgrass ecotypes, lowland and upland, differ in a range of desirable traits, and the responsible underlying loci can be localized efficiently in a pseudotestcross design. An outbred four-way cross (4WCR) map** population of 750 F2 lines was used to examine the genetic basis of differences in leaf surface wax load between two lowland (AP13 and WBC) and two upland (DAC and VS16) tetraploid cultivars. The objective of our experiments was to identify wax compositional variation among the population founders and to map underlying loci responsible for surface wax variation across environments. GCMS analyses of surface wax extracted from 4WCR F0 founders and F1 hybrids reveal higher levels of wax in lowland genotypes and show quantitative differences of β-diketones, primary alcohols, and other wax constituents. The full map** population was sampled over two seasons from four field sites with latitudes ranging from 30 to 42 °N, and leaf surface wax was measured. We identified three high-confidence QTL, of which two displayed significant G × E effects. Over 50 candidate genes underlying the QTL regions showed similarity to genes in either Arabidopsis or barley known to function in wax synthesis, modification, regulation, and transport.
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Acknowledgements
Mention of trade names or commercial products in this publication is solely for the purpose of specific information and does not imply recommendation or endorsement by the US Department of Agriculture. We would like to acknowledge the following people: Lia Poasa for assistance with the care of the plants in the greenhouse; Sheyla Aucar, Selina Chen, and April Nguyen for help with colorimetric wax measurements; Melissa Stefanek and Kyren Tomasi for their laboratory assistance with sample processing and calibration curve development for compound quantifications. We thank the Joint Genome Institute and collaborators for prepublication access to the Panicum virgatum AP13 genome reference. Funding was provided by Agricultural Research Service (Grant Nos. 2020-21410-007-00-D, 2030-21430-014-00-D), National Science Foundation (Grant Nos. IOS-0922457, IOS-1444533), U.S. Department of Energy (Grant Nos. DE-SC0014156, DE-AC02-05CH11231).
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JB collected and analyzed data as well as wrote the manuscript. PT performed wax compositional analyses. JL, JS, and AH created the 4WCR genetic map. LZ performed QTL analysis and co-wrote the manuscript. CT assisted with wax quantitation, co-wrote the manuscript, and coordinated the study. LC and PC performed wax quantitation, DW and TW conducted the SEM, JT coordinated the research and co-wrote the manuscript, and JB coordinated field sampling.
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Bragg, J., Tomasi, P., Zhang, L. et al. Environmentally responsive QTL controlling surface wax load in switchgrass. Theor Appl Genet 133, 3119–3137 (2020). https://doi.org/10.1007/s00122-020-03659-0
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DOI: https://doi.org/10.1007/s00122-020-03659-0