tf a control of ribosome biogenesis is conserved in s. … · tf_a control of ribosome biogenesis...

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TF_A Control of Ribosome Biogenesis is Conserved in S. castellii Sara, Jenna Pfiner, Dawn Thompson, Paul Muller, Jay Konieczka, Ana Lyons, and Aviv Regev Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA Methods Species specific microarrays Comparative transcriptomics provides a new glimpse into the evolution of gene regulation. Ascomycota fungi are uniquely suited among eukaryotes for studies of regulatory evolution due to: broad phylogenetic scope, many sequenced genomes, and facility of genomic analysis. Introduction K. lactis K. waltii S. kluyveri D. hansenii C. albicans Y. lipolytica S. pombe S. cerevisiae S. paradoxus S. mikatae S. bayanus C. glabrata S. castellii = whole genome duplication event (WGD) Coordinated expression of modules of functionally related genes (such as ribosomal protein (RP) genes and ribosomal biogenesis (ribi) genes) is often conserved at great evolutionary distances. This coordinated expression is consistent with a selective pressure to conserve coordinated transcript levels to maintain functional cellular models. Genes encoding RPs are tightly coexpressed in organisms from bacteria to humans, consistent with a selective pressure to conserve coordinated transcript levels to maintain a stoichiometric balance in ribosome assembly. Scer Smik Sbay Sbay uv Cgla Scas Kwal Sklu Klac Dhan Calb Ylip Sjap Spom Kpol Spar In the Ascomycete species we study, expression of the RP module is conserved. For example, in a glucose depletion experiment conducted previously in our lab, the RP module was repressed in all species as glucose depletes. This phenotypic conservation is not necessarily due to full conservation of the regulators. Several transcription factors controlling ribosomal gene expression have changed several times since the last common ancestor after Ascomycota fungi, which span Saccharomyces cerevisiae and Schizosaccharomyces pombe. However, all these species possess an ortholog of the TF_A gene (see above). Known Functions of TF_A in S. cerevisiae: Controls ribi genes in response to nutrients and stress Regulates G 2 /M transitions in mitosis Modulates cell size Target of TOR pathway log 2 ra(o: 0 ‐3 3 Ribosomal biogenesis genes are regulated by the transcription factor TF_A Sc er Sm ik Sb ay Sbay uv Cg la Sc as Kw al Sk lu Kl ac Dh an Cal b Yli p Sja p Spo m Kp ol Sp ar Promoter binding sites for TF TF_A Sample Up-check ORF- check Down- check gDNA (positive control) + mutants + + Conclusions References Future Direction Acknowledgements Hassell, Christopher DR. (Photographer). (2010). Budding yeast. [Web]. Retrieved from http://greaterimmunity.com/Images/Baker%27s%20yeast Powers, Ted. (2004). Ribosome biogenesis: giant steps for a giant problem. Cell, 119(7), Retrieved from http://www.sciencedirect.com/science? I would like to give thanks to my mentors, Jenna Pfiner and Dawn Thompson, for guiding me this summer through this ambitious project. Also, I would like to thank the entire Regev lab for their help and support for a successful project. Lastly, I would like to thank Megan Rokop, Allison Martino, and Rachel Woodrufor this research opportunity and critiques. Results and Data Hypothesis: While S. cerevisiae only contains one TF_A gene, S. castellii has two homologs (S.casParalog_A and S.casParalog_B). In addition, the binding site for TF_A has been found in the promoter region of RP genes in this species. Therefore, in S. castellii, we will test the function of each paralog to ask if one or both are conserved for the purpose of regulating and activating RP gene expression and cell size. S. castellii ΔParalog_B Vs. ΔParalog_A S. castellii ΔParalog_B Vs. Wild Type Mutant Wild Type S. castellii ΔParalog_A Vs. Wild Type Mutant Wild Type Paralog_B Mutant Paralog_A Mutant S .castellii ΔParalog_A S. castellii ΔParalog_B S. castellii Wild Type S. Castellii Wild Type ΔParalog_B ΔParalog_A Phenotype Examination in S. castellii Constructed S. castellii ΔTF_A Mutants Yeast DNA CLONAT Yeast DNA Yeast DNA TF_A Gene Yeast DNA Down-check UP-check ORF-check Confirmation of K.O. using PCR Grew Mutant Strains Up on Agar Plates Cell Diameter Size Distribution Microarray Data Results Growth Curves S. Castellii Wild Type ΔParalog_A ΔParalog_B transport, cellular carbohydrate metabolism, response to stress, generation of precursor metabolites and energy. protein modification, transport, response to stress transport, RNA metabolic process, protein modification, transcription, signaling, cell cycle, response to stress translation, ribosome biogenesis, RNA metabolic process, transport RNA metabolic processes, transcription, transport, chromosome organization, cell cycle RNA metabolic processes, ribosome biogenesis, transport, transcription Dyes able to bind to cDNA Reference Cells Mutant Cells Total RNA Total RNA cDNA With reference in red, the mutant is in blue, the cDNAs can now put placed onto a microarray for competitive hybridization. Cy 3 Cy 5 Expression intensities for each gene are determined by the log ratio of mutant signal over reference signal. We will create a double knockout of Paralog_A and Paralog_B in S. castellii to determine whether the genes work independently or together. Is a double knockout viable? Further, with ~11% of genes being significantly up or down regulated in the ΔParalog_A mutant, we would like to resolve whether this gene is directly or indirectly responsible for this result. Does TF_A sit on the promoter region of all of these genes? Or is it due an indirect effect (e.g. decreased ribosomal gene expression)? In S. cerivisiae, TF_A is a transcriptional activator, therefore it is surprising that we saw significant up-regulation in the mutant. We plan to investigate this finding. Phenotype and Growth Evaluation Observations: Mutants ΔParalog_A and ΔParalog_B yield smaller colony sizes Histograms reveal mutants have similar cell size, both smaller than wild type (WT) Growth curve reveals ΔParalog_A is a much slower grower than ΔParalog_B and WT Mutants’ growth rate are similar to each other, neither mutant strain is more similar to WT Conclusion: A slower growth rate and/or smaller cell size leads to a smaller colony size (compared to WT) Microarray Analysis Observations: Reduced ribosomal gene expression in both mutant strains Many more ribosomal genes are down-regulated in ΔParalog_A than in ΔParalog_B Genes involved in cell cycle are down-regulated in ΔParalog_A, but up- regulated in ΔParalog_B Conclusions: TF_A and its paralog (Paralog_B) regulate ribosomal gene expression ΔParalog_A is a more global regulator of ribosomal gene expression It can be suggested this gene, TF_A Paralog_A, has conserved its function as a ribosomal protein regulator because it is syntenic with the S. cerevisiae gene. Constructed a Heat Map Placed colored cDNAs onto a Microarray Extracted RNA and Labeled cDNA Created Growth Curves During Experiment Nutrient Repletion Experiment Paralog_B Yeast DNA Paralog_A Yeast DNA Yeast DNA CLONAT Yeast DNA Yeast DNA CLONAT Yeast DNA Yeast DNA Paralog_B Yeast DNA TF_A A B TF_A A B Paralog_A Glucose Concentration

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Page 1: TF A Control of Ribosome Biogenesis is Conserved in S. … · TF_A Control of Ribosome Biogenesis is Conserved in S. castellii Sara, Jenna Pfi!ner, Dawn Thompson, Paul Muller, Jay

TF_A Control of Ribosome Biogenesis is Conserved in S. castelliiSara, Jenna Pfiffner, Dawn Thompson, Paul Muller, Jay Konieczka, Ana Lyons, and Aviv Regev

Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA

Methods

Species specificmicroarrays

Comparative transcriptomics provides a new glimpse intothe evolution of gene regulation. Ascomycota fungi areuniquely suited among eukaryotes for studies ofregulatory evolution due to: broad phylogenetic scope,many sequenced genomes, and facility of genomicanalysis.

Introduction

K. lactisK. waltii

S. kluyveriD. hansenii

C. albicans

Y. lipolyticaS. pombe

S. cerevisiaeS. paradoxusS. mikataeS. bayanus

C. glabrataS. castellii

= whole genomeduplication event(WGD)

Coordinated expression of modules of functionally related genes(such as ribosomal protein (RP) genes and ribosomal biogenesis (ribi)genes) is often conserved at great evolutionary distances. Thiscoordinated expression is consistent with a selective pressure toconserve coordinated transcript levels to maintain functional cellularmodels. Genes encoding RPs are tightly coexpressed in organismsfrom bacteria to humans, consistent with a selective pressure toconserve coordinated transcript levels to maintain a stoichiometricbalance in ribosome assembly.

Scer Smik Sbay Sbay uv Cgla Scas Kwal Sklu Klac Dhan Calb Ylip Sjap SpomKpolSpar

In the Ascomycete species we study, expression of the RP module is conserved. For example, in a glucosedepletion experiment conducted previously in our lab, the RP module was repressed in all species as glucosedepletes.

This phenotypic conservation is not necessarily due to fullconservation of the regulators. Several transcription factorscontrolling ribosomal gene expression have changed severaltimes since the last common ancestor after Ascomycota fungi,which span Saccharomyces cerevisiae and Schizosaccharomycespombe. However, all these species possess an ortholog of theTF_A gene (see above).

Known Functions of TF_A in S. cerevisiae:•Controls ribi genes in response to nutrients and stress•Regulates G2/M transitions in mitosis•Modulates cell size•Target of TOR pathwaylog2 ra(o:

0‐3 3

Ribosomal biogenesis genes are regulated by thetranscription factor TF_A

Scer

Smik

Sbay

Sbayuv

Cgla

Scas

Kwal

Sklu

Klac

Dhan

Calb

Ylip

Sjap

Spom

Kpol

Spar

Promoterbindingsites for

TF

TF_A

Sample Up-check ORF-check

Down-check

gDNA(positivecontrol)

- + -

mutants + - +

Conclusions

References

Future Direction

Acknowledgements

•Hassell, Christopher DR. (Photographer). (2010). Budding yeast. [Web]. Retrieved fromhttp://greaterimmunity.com/Images/Baker%27s%20yeast•Powers, Ted. (2004). Ribosome biogenesis: giant steps for a giant problem. Cell, 119(7), Retrievedfrom http://www.sciencedirect.com/science?

I would like to give thanks to my mentors, Jenna Pfiffner and Dawn Thompson, for guiding me thissummer through this ambitious project. Also, I would like to thank the entire Regev lab for theirhelp and support for a successful project. Lastly, I would like to thank Megan Rokop, AllisonMartino, and Rachel Woodruff for this research opportunity and critiques.

Results and Data Hypothesis: While S. cerevisiae only contains one TF_A gene, S. castellii has two homologs (S.casParalog_A and S.casParalog_B). In addition,the binding site for TF_A has been found in the promoter region of RP genes in this species. Therefore, in S. castellii, we will test the functionof each paralog to ask if one or both are conserved for the purpose of regulating and activating RP gene expression and cell size.

S. castellii ΔParalog_B Vs. ΔParalog_A

S. castellii ΔParalog_B Vs. Wild Type

MutantWild Type

S. castellii ΔParalog_A Vs. Wild TypeMutantWild Type

Paralog_B MutantParalog_A Mutant

S .castellii ΔParalog_A

S. castelliiΔParalog_B

S. castellii Wild Type

S. Castellii Wild Type

ΔParalog_BΔParalog_A

Phenotype Examination inS. castellii

Constructed S. castelliiΔTF_A Mutants

Yeast DNA CLONAT Yeast DNA

Yeast DNATF_A GeneYeast DNA

Down-check

UP-check

ORF-check

Confirmation of K.O.using PCR

Grew Mutant Strains Upon Agar Plates

Cell Diameter SizeDistribution

Microarray Data Results

Growth Curves

S. Castellii Wild Type

ΔParalog_A ΔParalog_B

transport, cellular carbohydratemetabolism, response to stress, generation

of precursor metabolites and energy.

protein modification, transport, response tostress

transport, RNA metabolic process, proteinmodification, transcription, signaling, cell

cycle, response to stress

translation, ribosome biogenesis, RNAmetabolic process, transport

RNA metabolic processes, transcription,transport, chromosome organization, cell

cycle

RNA metabolic processes, ribosomebiogenesis, transport, transcription

Dyes able to bindto cDNA

ReferenceCells

MutantCells

TotalRNA

TotalRNA

cDNA

With reference in red, the mutant is inblue, the cDNAs can now put placedonto a microarray for competitivehybridization.

Cy3

Cy5

Expressionintensities foreach gene aredetermined bythe log ratio ofmutant signalover referencesignal.

We will create a double knockout of Paralog_A and Paralog_B in S. castellii todetermine whether the genes work independently or together. Is a double knockoutviable? Further, with ~11% of genes being significantly up or down regulated in theΔParalog_A mutant, we would like to resolve whether this gene is directly orindirectly responsible for this result. Does TF_A sit on the promoter region of all ofthese genes? Or is it due an indirect effect (e.g. decreased ribosomal geneexpression)? In S. cerivisiae, TF_A is a transcriptional activator, therefore it issurprising that we saw significant up-regulation in the mutant. We plan toinvestigate this finding.

Phenotype and Growth EvaluationObservations:

•Mutants ΔParalog_A and ΔParalog_B yield smaller colony sizes•Histograms reveal mutants have similar cell size, both smaller than wildtype (WT)•Growth curve reveals ΔParalog_A is a much slower grower thanΔParalog_B and WT•Mutants’ growth rate are similar to each other, neither mutant strain ismore similar to WT

Conclusion: A slower growth rate and/or smaller cell size leads to a smallercolony size (compared to WT)

Microarray AnalysisObservations:

•Reduced ribosomal gene expression in both mutant strains•Many more ribosomal genes are down-regulated in ΔParalog_A than inΔParalog_B•Genes involved in cell cycle are down-regulated in ΔParalog_A, but up-regulated in ΔParalog_B

Conclusions:• TF_A and its paralog (Paralog_B) regulate ribosomal gene expression•ΔParalog_A is a more global regulator of ribosomal gene expression•It can be suggested this gene, TF_A Paralog_A, has conserved itsfunction as a ribosomal protein regulator because it is syntenic with theS. cerevisiae gene.

Constructed a Heat MapPlaced colored cDNAsonto a Microarray

Extracted RNA andLabeled cDNA

Created Growth CurvesDuring Experiment

Nutrient RepletionExperiment

Paralog_B

Yeast DNAParalog_AYeast DNA

Yeast DNA CLONAT Yeast DNA

Yeast DNA CLONAT Yeast DNA

Yeast DNAParalog_BYeast DNA

TF_A

A

B

TF_A

A

B

Paralog_A

GlucoseConcentration