+ MLSA on Vibrio Hopkins Microbiology course 2013 Monica Abrudan, David Fronk, Marius Linkevicius, Lea Madsen, Laura-Carlota Paz & Brian Piasecki.
Download ReportTranscript + MLSA on Vibrio Hopkins Microbiology course 2013 Monica Abrudan, David Fronk, Marius Linkevicius, Lea Madsen, Laura-Carlota Paz & Brian Piasecki.
+ MLSA on Vibrio Hopkins Microbiology course 2013 Monica Abrudan, David Fronk, Marius Linkevicius, Lea Madsen, Laura-Carlota Paz & Brian Piasecki + 2 Sampling sites + 3 Sampling 2013 Sampling of Vibrio from seawater and anemones at 2 different sites and plating on TCBS agar plates. 2x restreaks and isolation of colonies for genetic analysis Anemones differ between samples + Hopkins and Point Lobos Sampling Hopkins (2013.06.23) Hopkins (2013.06.23) Point Lobos (2013.06.23) 4 + 5 MLSA steps on the road DNA Extraction Gene Amplification Sequencing Evaluation Looking at the sequences + Analysis + 6 The genes recA - Repair and maintenance of DNA - Central role in homologous recombination - 38 kDa + 7 The genes gyrB - Topoisomerase Type II - ATP dependent - enzyme that relieves strain while double-stranded DNA is being unwound by helicase + 8 The genes mdh - Malate dehydrogenase - Oxidation of malate to oxaloacetate (NDA+dependent) - Homodimeric soluble 30-35 kDa protein + 9 The genes OmpK - Only non Housekeeping gene - Outer membrane protein of ~26 kDA - Transmembrane iontransporter - Putative receptor for KVP40 phage + 10 Null Hypotheses Ecological niches: No structural differences in populations within: 1. sites (PL vs. H; CA vs. NZ) 2. anemone vs. water 3. years Genes No differences between ompK and the housekeeping genes + 11 Overview Housekeeping genes Phylogeny Dot tree Tree trees (recA, mdh, gyrB) Tree of 2013 Tree for 2007-2013 Diversity Evenness and richness Rarefraction Frequency of alleles Persistent alleles Structure data (populations) PCA ompK Phylogeny dN/dS Tree Gene network + Concatenation of recA, mdh, and gyrB 12 + Diversity Richness and evenness based on sequence types 13 + Diversity Richness and evenness based on sequence types 14 + 15 + 16 Comparison over the years (water) Frequency Point Lobos 1.5 1.0 0.5 0.0 1 5 8 18 20 34 62 67 2 8 20 25 29 36 62 64 1 gyrB 8 22 25 27 42 65 82 89 91 99 mdh racA Locus 2007 2008 2009 2010 2011 2012 2013 Frequency Hopkins 1.200 1.000 0.800 0.600 0.400 0.200 0.000 1 4 9 13 19 27 45 53 58 1 11 14 25 40 50 56 1 gyrB mdh Locus 8 14 20 33 38 41 59 74 85 racA +Comparison of NZ coasts (anemone) 17 West coast New Zealand 0.200 0.180 Frequency 0.160 0.140 0.120 0.100 0.080 Bethels 0.060 O'Neils 0.040 0.020 212 187 173 165 150 134 123 86 50 46 21 12 165 143 135 123 109 88 75 50 46 20 11 174 166 140 127 116 100 68 44 40 20 10 3 0.000 Locus East coast New Zealand 0.250 0.150 Narrow Neck 0.100 Westwell 0.050 Locus 209 194 178 144 132 113 104 91 50 33 11 3 156 144 129 111 105 95 79 40 32 8 172 160 145 132 106 90 81 67 44 28 9 0.000 3 Frequency 0.200 + 18 + recA 2007-2013 colored by site 19 + Diversity measures New Zealand 20 Point Lobos and Hopkins Samples, 2007-2012 + 21 Population structure (CA vs. NZ) K=4 The sequences are divided into 2 populations by sampling sites. Structure tool has arranged housekeeping gene sequences into 4 clusters (represented by different colors). The blue and green clusters dominate in California population. The red and yellow clusters are mainly found in New Zealand population. Different colors could represent different sampling sites. Indications of recombination were observed (the lines with different colors). + Population structure change in California (2007-2013) K=5 The sequences are divided into 7 predetermined populations by year. The program has assigned the housekeeping gene sequences into 5 clusters (represented by different colors). The blue cluster dominates 2007-2010 and it is back in 2013. The red cluster dominates 2011-2012. Effects from strong El Niño in the beginning of 2010? 22 + PCA plot of sites 23 gyrB CA mdh recA NZ NZ NZ W CA CA NZ E (water) NZ E PL Ho p NE NW + 24 Summary Null hypotheses touched No structural differences in populations within: 1. Sites • Results Clear population structure differences between CA and New Zealand. Clustering in PCA of CA vs. NZ and NZ east vs. NZ west in the mdh gene. Apparent population structure differs between Point Lobos and Hopkins. Evenness (diversity) differs between Point Lobos and Hopkins. 2. 3. Anemone vs. water Results A difference in diversity pattern is seen between anemone and water. Years • Results Population structure and diversity (richness and evenness) differ between 2007-2009 and 20102013 No differences between individual housekeeping genes. • Results recA, mdh seem more conserved with regard to the persistent “core alleles” compared to gyrB. + ompK is under purifying selection 1.8 1.6 Mean dN/dS = 0.127 76/95 sites (p< 0.1) dN/dS 1.4 1.2 1 0.8 0.6 0.4 0 Codon 4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 0.2 dN/dS < 1.0 – selection maintains similar codon sequences dN/dS = 1.0 – neutral evolution dN/dS > 1.0 – selection favors codon changes 25 + ompK phylogram depicts many related and divergent groups Tree generated with MCMC in MrBayes 26 + Protein similarity networks reveal dominant and “invader” types • Sequential clustering done using 99% and 97% identities respectively •At least 3 types maintained over space and distance • Years of 2008 and 2011 show influx of new types 2007 2008 2009 2010 2011 2012 2013 Hopkins Point Lobos New Zealand 27 + 28 2007 2008 2009 2010 2011 2012 2013 Hopkins Point Lobos New Zealand + http://ggweather.com/enso/oni.htm 29 + Conclusions Different analysis methods converged to the same results We can see difference between sites and years However we also see maintenance of housekeeping genes over sites and over years El niño in winter 2009 Structured (anemone) vs. unstructured (water) ompK appear more conserved than initially thought However this might be influenced by the exclusion of indels We see a similar pattern between ompK and the housekeeping genes 30 + 31 Future work Sample new sites and/or sample more More metadata on environmental factors Look at the variable regions of ompK + 32 Thanks All’y’all Christina Machak Koshlan Mayer-Blackwell Paul Rainey Alfred Spormann Chrisopher Francis + WATER-Samples NEW ZEALAND 33 CALIFORNIA Allele Frequency at recA for o (n=8) Allele Frequency at recA for Pop1 (n=51) Allele Frequency at recA for w (n=7) Allele Frequency at recA for Pop2 (n=42) 34 K=3 + K=4 K=5 New Zealand W, Water New Zealand W, Anemone New Zealand N, Anemone New Zealand O, Water New Zealand O, Anemone New Zealand B, Anemone Point Lobos Water Point Lobos Anemone Hopkins Water Hopkins Anemone New Zealand East New Zealand West Californi a + 35 + 36 + 37 + 38 + 39 Conclusions