Page 178 - PC2019 Program & Proceedings
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PLANT CANADA 2019

               S141. Increasing soybean oil yield through targeted gene silencing and overexpression
               Fedosejevs, E.; Y. Ye; E. Myers; J. Thelen
               University of Missouri

               Soybean oil content is lower than most oilseed crops at 16-22% of dry weight. We are developing
               soybean germplasm with improved oil content and seed yield through rational metabolic engineering. To
               do this, we are primarily targeting the enzyme acetyl-CoA carboxylase (ACCase), which catalyzes the
               entry point into fatty acid biosynthesis, carboxylating acetyl-CoA to malonyl-CoA. Increasing ACCase
               activity provides a “push” of fatty acids into FA biosynthesis, resulting in increased oil production. We
               have developed and are testing soybean lines 1) that incorporate a gene silencing cassette that reduces
               expression of a family of negative regulators of fatty acid biosynthesis called biotin/lipoyl attachment
               domain containing-proteins (BADCs) or 2) that overexpress a modified form of the limiting subunit of
               heteromeric ACCase, α-carboxyltransferase (α-CT). These strategies have demonstrably increased oil
               content in the model organisms Arabidopsis thaliana and Camelina sativa. We are also pursuing further
               strategies to improve soybean seed yield and oil content, including by repressing α-CT interactor protein
               (CTI), a new ACCase interactor that our lab recently discovered (Ye et al., unpublished), and by boosting
               seed sink strength through overexpression of an engineered form of sucrose synthase (SUS). Additional
               novel regulators of FA biosynthesis are being identified through traditional biochemical techniques and
               via co-expression meta-analyses of massive RNA-seq data sets with a software tool that we are
               developing (RNA-see).

               Eric Fedosejevs (fedosejevse@missouri.edu)




               S142. A compensatory mutation in the GmNFR5α gene restores soybean-rhizobia symbiosis fitness
               Torkamaneh, D.; F. Chalifour; C. Beauchamp; H. Maaroufi; F. Belzile
               Université Laval

               In soybean, NFR5α is a key regulator of root-hair curling in response to Nod factors (NFs) released by
               rhizobacteria and plays an essential role in the initiation of symbiosis. Sequencing of the entire
               transcribed region of NFR5α in 297 African soybean lines revealed two non-synonymous (E345K and
               M490V) mutations defining three alleles. Each of these exhibited a distinct phenotype, with one mutation
               (E345K) causing a severe decrease (35%) in symbiotic-nitrogen fixation (SNF) activity while the second
               mutation (M490V) partially compensated (60% restoration) for this decrease. As all three alleles are
               expressed equally (in terms of mRNA abundance), we hypothesized that the uncovered mutations have a
               structural impact on protein function. We found that the substitution E345K introduces a positively
               charged amino acid residue that would be expected to cause a repulsion between the NFR5α and ROP6
               proteins, this interaction being essential for root-hair curling. The predicted NFR5α-ROP6 binding
               affinity was decreased in the E345K mutant allele while, in the double mutant (E345K + M490V), the
               predicted binding affinity was increased, a form of epistasis. However, although all three alleles were
               frequently present in wild soybeans (G. soja), we found evidence of purifying selection, during soybean
               domestication, against the unfavorable allele (E345K) in cultivated soybeans (G. max). This study
               provides fundamental insights into NFR5α and its essential role in the initiation of SNF in soybean.


               Davoud Torkamaneh (davoud.torkamaneh.1@ulaval.ca)









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