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Austin, 1995), or ordination methods, which group organisms into taxa but with no hierarchical structure. There are three types of hierarchical structuring, these are: Results for OTU1 Results for OTU2 + ab - cd Figure 1.1 - Diagrammatic representation demonstrating the relationships between the different symbols used in the formulae in Table 1.2. Reproduced from Priest and Austin (1995). Coefficient Abbreviation Formula Simple Matching SSM a+d/a+b+c+d Jaccard SJ a/a+b+c Dice SD 2a / 2a +b+c Table 1.2 - Three of the most commonly used similarity coefficients in bacterial taxonomy (after Priest and Austin, 1995). 1. Single Linkage (Nearest Neighbour) Clustering, in which OTUs form groups at the highest similarity between the OTU and any one member of the group, with no account taken of the other members of the group (Priest & Austin, 1995). 2. Complete Linkage (Furthest Neighbour) clustering, in which OTUs will only form groups when all members of the group are linked, that is clusters are formed at the lowest similarity level between the OTU and any member of the cluster (Priest & Austin, 1995). 3. Average linkage (UPGMA) clustering, or unweighted pair group method with arithmetic averages, is a compromise between single and complete linkage clustering. OTUs form groups at the average similarity between the OTU and all members of the group (Priest & Austin, 1995). It has been demonstrated that UPGMA clustering provides the most accurate representation of the taxonomic structure and introduces the least distortion into the lowdimensional taxonomic space (Priest and Austin, 1995; for a description of taxonomic space please refer to Priest and Austin, 1995). Classification data can be represented by one of several methods. Firstly, the Similarity matrix, which is constructed by listing the 28
AACGTCGAAA AACCTCGAAA (Organism A) (Organism B) A('(CT 4 GAAA (Organism C) A( G CT `ý GTAA (Organism D) (A) - Sequence data a (B) - DNA fingerprint BDA cB 14 12LD 6'Ü Gi . fl (C) - Dendrograms of simi Figure 1.2 - Representation of molecular taxonomy. The sequence data (A) from organisms A, B, C and D, differs by only a few nucleotides. This arbitrary gene is digested by endonucleases to produce a DNA fingerprint (B). The similarity between these fingerprints can be calculated using coefficients of similarity to produce a similarity matrix, from which a dendrogram (C) can be calculated through hierarchical clustering (UPGMA). Two ways of representing the dendrogram are shown, (1) slanted, and (2) rectangular. 29
Page 1 and 2: COLD ADAPTATION STRATEGIES AND DIVE
Page 3 and 4: , 71 "If you march your Winter Jour
Page 5 and 6: 1.6.3. Molecular typing techniques
Page 7 and 8: 3.2.1.2.3. DOC and chlorophyll a ..
Page 9 and 10: 5.3.2.5. The Sphingomonas group, is
Page 11 and 12: LIST OF FIGURES Figure I. I. Diagra
Page 13 and 14: Figure 3.17a Mean bacterial abundan
Page 15 and 16: LIST OF TABLES Table 1.1. Types of
Page 17 and 18: List of Abbreviations AFP AFGP AFLP
Page 19 and 20: ACKNOWLEDGEMENTS This study was fun
Page 21 and 22: Chapter 1: INTRODUCTION 1.1 - Tempe
Page 23 and 24: 1999 ; Hand & Burton, 1981) or iden
Page 25 and 26: Cold adaptation is dependant on the
Page 27 and 28: not at 25°C is a function of the a
Page 29 and 30: The most prolific literature on col
Page 31 and 32: process known as thermal hysteresis
Page 33 and 34: dominant, role in the ice-growth in
Page 35 and 36: explanation for this diversity is t
Page 37 and 38: 1.5.3.5 - Membrane bound solute tra
Page 39 and 40: een well established (Russell & Nic
Page 41 and 42: & Bowman, 2001; Labrenz & Hirsch, 2
Page 43 and 44: The reaction mix contains both deox
Page 45 and 46: gene mixtures and hence can be used
Page 47: displaying a high number of common
Page 51 and 52: particular set of environmental par
Page 53 and 54: Lake Maximum Depth (m) Approximate
Page 55 and 56: Larsemann Hills __ rp3rtrnent of th
Page 57 and 58: Sampling trips took two days during
Page 59 and 60: Sigma, Sigma-Aldrich Company Ltd.,
Page 61 and 62: oxidized and the sample then conver
Page 63 and 64: sample. An appropriate volume was l
Page 65 and 66: min to ensure complete extension of
Page 67 and 68: Figure 2.3 - Lane delineation image
Page 69 and 70: Figure 2.6b - Molecular weights are
Page 71 and 72: RNA 41F (5'-GCT CAG ATT GAA CGC TGG
Page 73 and 74: I min. The spin column was removed
Page 75 and 76: compiled using Seqman and any erron
Page 77 and 78: ecorded and related to the level of
Page 79 and 80: information regarding the cold adap
Page 81 and 82: 50ppt to 186ppt. Thirteen were sali
Page 83 and 84: M N N 't M M \p \p 00 kf) M kf) bA
Page 85 and 86: as would normally be expected, as b
Page 87 and 88: 1444 6ý L CC vý O Q O O NO u 'c z
Page 89 and 90: 5 - 250 3 245 240 G (, -3 235 a 0-
Page 91 and 92: 3.2.2.2.5 - Dissolved organic carbo
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Page 95 and 96: SRP ('g L- 05 10 15 20 2 3 Depth4 5
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a 0 Bacterial Abundance (x 106 ml-1
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3.3 - Discussion 3.3.1 - Summer sam
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to high surface water temperatures
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chemocline (Rankin et al., 1999). M
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a 250 200 150 100 50 70 60 50 40 ý
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The temperature (Fig 3.2a) through
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et al., 1999). No melt out was obse
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increase in ammonium is probably du
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10 7 9 6 8 E ö 7 5 Co u c m c 40 w
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main pigments were chlorophylls a a
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Inorganic nitrogen (NO2, NO3 and NH
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744 -- 7 644 6 19 ü SE 400-- 4 2s
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salinity decreased from July to Sep
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a Bacterial abundance (x 106 1.1) 0
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8 ö a N Ö oý L _> Q O O 4 0 rn O
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undoubtedly true of Club Lake. The
Page 131 and 132:
suggested that input of bacteria an
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Pendant Lake is an unstratified, sa
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non-AFP active peptides from inhibi
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. ter rý :. 'ý Figure 4.2 -Fryka
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-ý- ---- ,. r. __-_-. ___. r. ýý
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4.2 - Results 4.2.1 - Sampling and
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SPLAT score. It has been shown that
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3'E t ý _d M! .PJ r rn 15 3.5 4 3
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4.3 - Discussion Of the 866 bacteri
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arisen in very few species due to c
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Chapter 5: BACTERIAL MOLECULAR TYPI
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Fig 5.1 - Photographs of ARDRA gel
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Coefficient: Dice Algorithm: lPGMAA
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The closest published relative for
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identification was made based on 15
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Isolate number Closest phylogenetic
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e included due to its small sequenc
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5.3.2 - Identification of the AFP a
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explains the fluctuation in related
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contamination was lower as the PCR
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seen to a certain extent in the ARD
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American Type Culture Collection (A
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Phylogenetic cluster alignment of t
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et al., 1994) and the Antarctic SIM
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Chapter 6: BACTERIAL COMMUNITY ANAL
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6.2.1 - Detection of AFP active iso
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using the same PCR protocol as orig
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Figure 6.1 - Denaturing gradient ge
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6.2.2 - Temporal and spatial variat
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Figure 6.4c - Gel I image showing b
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Coefficient: Dice Algorithm: UPGMA
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etween Om and 2m was obviously the
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All PCR-based rRNA molecular techni
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6.3.2.3 - Cellular lysis and DNA pu
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hybrids should be equal. However, S
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contain contaminants. If the profil
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(Section 6.3.2.4.3 ) could not be r
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most dominant species in the commun
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study was characterised as M protea
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11 species) showed AFP activity. Th
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that AFP activity could have evolve
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7.2 - Future Work The 19 AFP active
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REFERENCES ABYZOV, S. S. (1993). Mi
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BELL, E. M. and LAYBOURN-PARRY, J.
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Symposium on Environmental Biogeoch
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Research. 5,477-493. CLESCERI, L. S
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DRICKAMER, K. (1999). C-type lectin
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antifreeze proteins from Atlantic s
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FRANZMANN, P. D. and DOBSON, S. J.
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GRIFFITH, M., ALA, P., YANG. D. S.
Page 231 and 232:
IVANOVA, E. P., KIPRIANOVA, E. A.,
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Antarctic Ecosystems. G. A. Llano (
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Howard-Williams and I. Hawes). Balk
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W. (1998). Rep-PCR-mediated genomic
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putida strains from Antarctica. Mic
Page 241 and 242:
NICHOLS, D., BOWMAN, J., SANDERSON,
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PEARCE, D. A. and BUTLER, H. G. (20
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(1999). Palaeohydrological modellin
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tracers of biogeochemical processes
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R. G. Landes Company, Austin, Texas
Page 251 and 252:
partial 16S rDNA sequencing. Applie
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YABUUCHI, E., WANG, L., ARAKAWA, M.
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APPENDICES Al. Media Tryptic Soya A
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"D C 'O I. .. r .. r 6 rr E , 4mo .
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. + + + I I I I I I + I + + I I I I
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Ö ON N M 1 O - N 'zt "o l'" 00 C N
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1 T 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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1 1 1 1 I 1 + I I 1 I 1 1 I 1 1 1 I
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1 1 1 1 1 1 1 I I 1 I 1 I 1 1 I T I
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Cl M 'tt tn '. p t- 00 O\ N M O - (
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d' O - (N M 'nt V) \O N. 00 O> N M
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1 1 T 1 1 1 T 1 1 1 1 1 1 1 1 1 1 1
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+ + i i i i i i " i " . + + + + " +
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e O --ý N M t Vn 1,0 [-- 00 O> N M
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FT ce + I I r. to \, O t- 00 O\ N M
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kn 110 r- 00 Oý N M O - N M Itt vn
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, It N M "t N M Iýt N M M M M Oý
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gj a - - - - - - - - - - - - - - -
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