Metagenomic to find and characterize microrganism surviving in space. Group 5: Carlotta Morichi Fabian Knöpfel Frederic Gaboyer Judith Gendron Numa Lauront Extreme environments are known for the hardest parameters that an organism wich must withstand to survive.Some exemples are: -desert -deep sea -glacial -halophilic environments -..... Antartic, Mc Murdo Dry Valley -Scientists consider the Dry Valleys perhaps the closest of any terrestrial environment to Mars, and thus an important source of insights into possible extraterrestrial life. -The Dry Valleys are so named because of their extremely low humidity and their lack of snow or ice cove. -Endolithic photosynthetic bacteria have been found living in the Dry Valleys, sheltered from the dry air in the relatively moist interior of rocks. Space conditions UV ray Cosmic radiation space vacuum microgravity Important parameters that we must considerer . Survival in outer space is reduced due to damage caused by them to the DNA. Space conditions UV ray: Solar UV radiation has been found to be the most deleterious factor.there are 3 different type of ray: UV-A UV-B UV-C -do not reach the surface of the earth -in space they are directly absorbed by the DNA: thymidine containning dimers cyclobutadipyrimidines Space conditions Cosmic radiation: Cosmic rays comes from space, from various places: -Sun -supernova explosions -extremely distant sources radio galaxies quasars Because of their high energy, this type of particle radiation can be dangerous to people. On Earth we are mostly shielded from them by our planet's magnetic field and atmosphere. One important component of this radiation comprises the so-colled HZE particles: -interacting with the atoms of the target causing the destruction -their high energy they can do a lot of damage on the subcelluar level -can penetrate deeper into the body Space conditions space vacuum: « volume of space that is essentially empty of matter, such that its gaseous pressure is much less than atmospheric pressure ». Space vacuum + UV = photoproducts -cis-syn cyclobutane thymine dimers -trans-syn cyclobutane thymine dimers microgravity: No clear biological problem. ? -nutrition -excretion -motility Scientific context • Only few and well known organisms have been investigated : - Survival of B.subtilis spores : Unprotected : several seconds Protected : more than 6 years - Others microorganisms : Phage T1, Synechococcus Haloarcula, Deinococcus • Recently : surprising survival of lichen But model organisms remain minor in regards to the microbial biodiversity. Why using Metagenomics ? 2 : Unknown microbial diversity Caracterized 90-95% microorganisms remain uncultivable in laboratary Uncaracterized Tremendous gap between our knowledge of bacterial survival in space and microbial abilities • With Molecular approaches : 16S/18S rRNA : Biodiversity • BUT with Metagenomics : Environmental sample 1 : Who is here ? 2 : Who does what ? all DNA sequencing (Genome informations) Biodiversity caracterization Physiological caracterization Principe of metagenomics Sample collection Whole DNA extraction Whole DNA amplification Whole DNA sequencing Data analysis Information about : Biodiversity but also physiology, metabolic pathways… Metagenomics applicated to survival in space Sample Exposure No exposure space conditions Alive cells Dead cells Whole DNA extraction Whole DNA extraction Whole DNA amplification Whole DNA amplification Comparaison Whole DNA sequencing Data analysis (alignement, comparaison of sequences) Whole DNA sequencing Data analysis Limitations of metagenomics But metagenomics is a global analysis many data How to associate the presence of a gene with the ability to survive ? - We need more precise informations - A model organism is welcome : Synechococcus MODEL: SYNECHOCOCCUS Survivals in Space 2 weeks Sequenced Genome : permit comparaison with data bases Studied much time, well known Resists to dissection sample model Take an other sample froma diffrent place Exposed to simulated space conditions dead Not exposed control Exposed to (simulated) space conditions Control Not exposed alive Genes sequencing Genes sequencing space Proteomic COMPLEMENTARY APPROCHES To study adaptations of cells in extrem conditions: Proteomics study with mass spectromphotometry Transcriptom Physiology / Metabolism PROTEOMICS : study of proteom Proteom: is the sum of the proteins within a cell at a set point in time under defined parameters . mRNA ONE GENE PROTEINS POST TRANSLATION MODIFICATIONS Sample Synechococcus : study the SIMULATED conditions on Earth STAGE 1 Sample : study in the real space environment Sample STAGE 2 S2 SIMULATED SPACE CONDITIONS ON EARTH The goal of stage 1 To specify the expression of every protein under the influence of one parameter DIRECT EXPOSURE IN SPACE The goal of stage 2 : To have realitisic conditions and interactions inside the cell (between genes, proteins metabolism) COMPARE proteomics (transcriptomic) S1 controle WHY MASS SPECTROMETRY? sample of isolated specie (i.e syneccococus). Caraterise the identity of proteins at a set point in time This can be repeated at : Different times And under various conditions. CHROMOTOGRAPHY MASS SPECTROMETRY RESULTS OF MASS SPECTROMETRY: mass spectrum: identity card of the protein And even protein sequence Equipments and methods 1 : Sample collection Antarctica environment : dry, cold and submitted to high U.V radiation Mac Murdo Dry Valley sandstone community Equipments and methods 2 : Exposure to space conditions - On Earth : Planetary and Space Simulation facilities (PSI) - In space : BIOPAN FOTON Spacecraft (ESA) Aerospace Center, Köln Equipments and methods 3 : Separation of cells : LIVE / DEAD dye kit + FACS Dead cells : green fluorescence Alive cells : red fluorescence 2 cellular populations 1 : labelling 2 : separation Equipments and methods 4 : DNA extraction : Standard and appropriated protocols 5 : DNA amplification : Multiple Displacement Amplification (MDA) Amorces hexamériques, + ADN polymérase du phage Phi29. 6 : DNA sequencing 454 Pyrosequencing Sequences of 100 – 200 pb Equipments and methods 7 : Data analysis : bioinformatic tools : - BLAST (http://www.ncbi.nih.gov/BLAST sequences from eukaryotes. SILVA aligner (http://www.arb-silva.de, Pruesse et al., 2007) Genome construction -KEYDNATOOLS (http://keydnatools.com/) - NCBI databases Sequence analysis Phylogenetic Functionnal Who is here ? = Biodiversity Who does what ? = Physiology Mimic space conditions 3 parametres to define : UV Vacuum Temperature The Planetary and space simulation facilities (PSI) in Germany (KÖLN) Conditions for Metagenomics selection The example of pre ISS exposure Test on black fungi Mimic space conditions Find the condition that only allow extremely Resistant micro organisme to survive Extract from: S. Onofri et al. 2008 Experimental conditions and exposure time for gene expression analysis Choose the good time and stress inductions in different conditions Protein PT regulation Protein neo synthesis (neo mRNA) Times of analysis (Ti) T0 Stress conditions T1 T2 T3 T4 Time response to stress exposure Expected results Metagenomics in extremes conditions Proteomics : gene expression studies in extremes conditions Proteomics approach results T0 Protein Name Quantities ProtA T1 T2 T3 0,11 0,12 0,11 T4 0,11 0,11 ProtB 1,2 1 1 1 1 ProtC 2 2 2 2 2,1 ProtD 0 5 3 3,2 3,6 Shape of protein/gene expression results Protein present only in a stress conditions Relative Expressions at T i/T j proteins/genes probably implicated in stress responses . . . . . . Proteom or transcriptom Graphical representation with 2 conditions Algorithm Simplification of the results Axe 2 (24%) Axe 1 (53%) Results after simplification of data of a high range analysis in all dimension A better understanding of genes implicated in stress responses of Synechococcus Genes or proteins associated with stress conditions UV Chronology of response to the space stress Now we can investigate physiology and network of these stress responses with an important database. Post translational modification studies with proteomics data Vacuum UV Temperature Expected results : metagenomics • Direct results : DNA sequences and contigs • After analysis Phylogenetic trees : Unknown microorganisms Who are they closest to ? BIODIVERSITY Discovery of : - new species ? - new phyla ? Expected results : metagenomics After analysis Genomes : PHYSIOLOGY and GENOMIC Genes : functional groups Special attention to : - G+C contents - Genome sizes - DNA repair mechanisms - Pathways of excretion, polysaccharides secretion …… Pathways : metabolism, physiology Applications Protein Growth Vaccine Secondary Metabolite Resistance Applications Applications Danger Human health Microbs become more pathogenic & resistant to antibiotica Avionics and spacecraft system Negative impact of immune system Not well understood Conclusion A strong expirmental project which : • Has a huge potential of applications • Could answer more fundamental biological questions such as : - Microorganisms physiology and diversity - Lithopanspermia therory