Literature DB >> 32803378

Environmentally responsive QTL controlling surface wax load in switchgrass.

Jennifer Bragg1, Pernell Tomasi2, Li Zhang3, Tina Williams1, Delilah Wood1, John T Lovell4, Adam Healey4, Jeremy Schmutz4,5, Jason E Bonnette3, Prisca Cheng1, Lisa Chanbusarakum1, Thomas Juenger3, Christian M Tobias6.   

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. 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) mapping 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 mapping 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.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32803378     DOI: 10.1007/s00122-020-03659-0

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  4 in total

1.  Quantitative trait locus mapping combined with variant and transcriptome analyses identifies a cluster of gene candidates underlying the variation in leaf wax between upland and lowland switchgrass ecotypes.

Authors:  Peng Qi; Thomas H Pendergast; Alex Johnson; Bochra A Bahri; Soyeon Choi; Ali Missaoui; Katrien M Devos
Journal:  Theor Appl Genet       Date:  2021-03-24       Impact factor: 5.574

2.  The genetic basis for panicle trait variation in switchgrass (Panicum virgatum).

Authors:  Li Zhang; Alice MacQueen; Xiaoyu Weng; Thomas E Juenger; Kathrine D Behrman; Jason Bonnette; John L Reilley; Francis M Rouquette; Philip A Fay; Yanqi Wu; Felix B Fritschi; Robert B Mitchell; David B Lowry; Arvid R Boe
Journal:  Theor Appl Genet       Date:  2022-07-02       Impact factor: 5.574

3.  Host genotype controls ecological change in the leaf fungal microbiome.

Authors:  Acer VanWallendael; Gian Maria Niccolo Benucci; Pedro Beschoren da Costa; Linnea Fraser; Avinash Sreedasyam; Felix Fritschi; Thomas E Juenger; John T Lovell; Gregory Bonito; David B Lowry
Journal:  PLoS Biol       Date:  2022-08-11       Impact factor: 9.593

4.  Differential Defense Responses of Upland and Lowland Switchgrass Cultivars to a Cereal Aphid Pest.

Authors:  Lise Pingault; Nathan A Palmer; Kyle G Koch; Tiffany Heng-Moss; Jeffrey D Bradshaw; Javier Seravalli; Paul Twigg; Joe Louis; Gautam Sarath
Journal:  Int J Mol Sci       Date:  2020-10-27       Impact factor: 5.923

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.