Functional Genomics through Complementation in the Classroom Steven Slater Some Issues with Research in the Classroom Difficult for instructors to identify/implement novel research projects each semester/year Planning/preparation time must be efficient (minimal) and easily accomplished by busy faculty or teaching assistants Experiments must be well defined and capable of producing clear outcomes Should address multiple scientific topics within a series of experiments How We are Working to Solve Them We have designed the core of a curriculum, based on genetic complementation of defined E. coli mutants, that enables true experimentation in the classroom The modular format allows testing completely different genes every semester but does so with repetitive sets of protocols and materials Consistency makes it possible for busy faculty to perform actual research in the classroom without having to prepare de novo labs every semester Why use Complementation as a basis for curriculum modules? In many cases, it provides a clear “life or death” result that can be easily interpreted. Although intermediate phenotypes (e.g. slow growth) can be distinguished. It lends itself to testing thousands of different types of genes. Assays can be simple (survival or colorimetric), complex (GC analysis of metabolites) or anything in between Why use Complementation as a basis for curriculum modules? The framework enables integration of many techniques and genetic principles Bioinformatics (from simple BLAST through programming) Auxotrophy vs. prototrophy; Epistasis Basic molecular techniques such as PCR, cloning, selection, restriction endonuclease mapping, etc. Gene induction and regulation If desired, enzymatic analysis Each experiment provides functional data that can be used to update annotation and construct publications Why use Complementation as a basis for curriculum modules? Perhaps most importantly, it lends itself to highly repeatable experiments that are all variations on a theme The vectors, techniques, and (most) instructional materials are consistent from semester to semester The primary changes each year involve the particular pathway under investigation and the choice of genes to test We are Enabling the System Through Curriculum “Kits” We aim to combine the engagement of original research with the straightforward techniques typical of “kits”, such as those for cloning GFP Each kit contains: A defined E. coli mutant and isogenic WT strain A cloning vector A positive-control plasmid containing the E. coli version of the gene Complete protocols Background information on the experiment Support via a web site for downloading information, asking questions, uploading results, and connecting with other groups performing similar or identical sets of experiments. We developed a specific vector for the program Broad host-range (pBBR origin) Low copy number Amp resistant to avoid outgrowth after transformation sacB gene provides counter-selectable marker to remove background Arabinose-inducible expression of gene-of-interest Cloning site flanked by NotI sites Designed for ligase-independent cloning Ligation Independent Cloning 5’-GAATTCGACAAGAGC -3’ 3’-CTTAAGCTGTTCTCGCCGG-5’ ERI NotI CTCAGCAAATCCTGATGA GGCCGCTTGGTGTT 3’ GAGTCGTTTACCACTACT CCGGCGAACCACAA 5’ sacB GGACAATTAACAGTTAACAAATAA GCGGCCGCTTGGTGTTTCTAGAATCATG -3’ CCTGTTAATTGTCAATTGTTTATT CGCCGGCGAACCACAAAGATCTTAGTAC-5’ NotI digest vector with NotI Treat vector and insert with T4 DNA Polymerase dATP . . .. . weak no Ts RBS 5’GAATTCGACAAGAGCGGCCGC ATGAACATCAAAAAGTTTGC 3’CTTAAGCTGTTCTCGCCGGCG TACTTGTAGTTTTTCAAACG ERI NotI proC . . .. . no As . . .. . 5’ CGACAAGAGCGGCCGC ATGGAAAAGAAAATCGGTTTTATTGGC 3’ GCTGTTCTCGCCGGCG TACCTTTTCTTTTAGCCAAAATAACCG . . . . . insert no As no Ts 5’-GGCCGCTTGGTGTTTCTAGA-3’ 3’CGAACCACAAAGATCT-5’ NotI XbaI dTTP XbaI 5’-GGCCGCTTGGTGTTTCTAGA 3’ 3’TCT5’ 5’ CGACAAGAGCGGCCGC ATGGAAAAGAAAATCGGTTTTATTGGC CTCAGCAAATCCTGATGA 3’ 3’ ACCTTTTCTTTTAGCCAAAATAACCG proC GAGTCGTTTACCACTACT CCGGCGGAACCACAA-5’ 5’GAATT 3’CTTAAGCTGTTCTCGCCGG ERI NotI dTTP dATP 5’-CGACAAGAGCGGCCGCATGGAAAAGAAAATCGGTTTTATTGGC -3’ 5’-AACACCAAGCGGCCGAAAGTCATCAGGATTTGCTGAGT-3’ T4 DNA Polymerase 3’ 5’ exonuclease digests DNA until the first specified nucleotide (A or T) is reached. T4 DNA Polymerase idles at the A or T since the enzyme defaults to the polymerizing activity when dATP or dTTP is supplemented into the respective reaction. Our first kits are being built around Amino Acid Biosynthesis Pathways Proline Genes Arginine Genes proA argA proB argB proC argC argD Alanine Genes alr dadB dadX avtA argE argF argG argH argI carA carB Aspargine/ Isoleucine Genes asnA asnB ilvA ilvC ilvD ilvE ilvBN ilvGM ilvIH Glutamine/ Ammonia Assimilation Genes glnA glnB glnD glnE glnG glnL ropN A. tumefaciens C58 argE Complementation Assay (Experiment done by SPU undergraduate Jake Sharp) M9 (No Ara) DargE M9+Arginine (No Ara) Neg. Control DargE +sacB wt DargE M9+Arabinose Neg. Control DargE +sacB Neg. Control DargE +sacB wt DargE wt argE (atu3398) DargE +argE K12 Pos. Control DargE argE (atu5479) Expt. DargE +(atu3398) Neg. Control DargE +sacB DargE Expt. DargE +(atu3398) Expt. DargE +(atu5479) DargE +argE K12 Pos. Control DargE +argE K12 Pos. Control Neg. Control DargE +sacB DargE Expt. DargE +(atu3398) Neg. Control DargE +sacB wt wt wt DargE +argE K12 Pos. Control DargE +argE K12 Pos. Control Expt. DargE +(atu5479) DargE +argE K12 Pos. Control Expt. DargE +(atu5479) The Arginine Biosynthetic Pathway From: Xu, et. al. 2007. Microbiol. Mol. Biol. Rev. 71: 36-47. The Benefits of our Approach It motivates learning Increases Enthusiasm of Students and Instructors Provides a sense of accomplishment Combines theoretical knowledge with the practical application of skills It can lead to individual research projects coming out of the classes It provides functional data to the scientific community to support gene annotation The Benefits of this Approach Instructors engage more with the program content and, hence, with the students Research programs can be easily integrated into standard teaching practices. Instructors at the High School, Community College and Undergraduate University levels are impacted. Provides flexibility for instructors Instructors can enter program at any “degree of difficulty” Instructors can work on any organism or pathway, or integrate with one of our ongoing projects Data collection, validation, and manuscript preparation are enabled by a network of institutions focused on the same approach, and often the same organism Contributors Dr. Steven Slater – The University of Wisconsin-Madison DOE Great Lakes Bioenergy Research Center scslater@glbrc.wisc.edu Dr. Derek Wood – Seattle Pacific University Dr. Katey Houmiel – Seattle Pacific University houmk@spu.edu Dr. David Rhoads – University of Arizona Dr. Brad Goodner – Hiram College The Mesa High School Biotechnology Academy Xan Simonson Amanda Grimes Ken Costenson Funding by: NSF