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Phylogenetic tree
content
1. Phylogeny
2. Phylogenetic tree : definition.
3. Origin of phylogenetic tree.
4. Types of phylogenetic tree.
5. Construction of phylogenetic tree.
6.significance of phylogenetic tree.
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PHYLOGENY
Phylogeny is the study of the
history of the evolution of a
organism species or group.
OR
Study of evolutionary relationships
between species or organism.
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PHYLOGENETICTREE
 Diagrammatic representation.
 It shows the evolution of the organisms or species.
 It shows the relationship between the species or the
group of organism. Also called “Tree of life” or
“dendrogram”.
 Referred as two dimensional graph as it represents the
evolutionary relationship between an organism from
various other organism.
 Derived from the ancient Greek word, which refers to
race,origin,or lineage.
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origin/ historyof phylogenetictree.
Carl Woese’s Classification
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Carl Woese’s Classification is also known as
the Three-domain system.
This classification system divides the life forms
into three domains and six kingdoms, that is why
it also called the Six Kingdoms and Three Domains
Classification.
The three domains are archaea, bacteria,
eukaryote, and six kingdoms are Archaebacteria
(ancient bacteria), Eubacteria (true bacteria),
Protista, Fungi, Plantae, Animalia.
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Woese classified them based on
their differences in the 16S
ribosomal RNA (rRNA) structure.
Carl Woese used the rRNA as
an “Evolutionary
Chronometer” – an evolutionary
time clock. KKR1116 7
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TYPES OF PHYLOGENETIC TREE
•ROOTED TREE
•UNROOTED TREE
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ROOTEDTREE
• A rooted phylogenetic tree is a type of
phylogenetic tree that describes the
ancestry of a group of organisms.
• Importantly, it is a directed tree, starting
from a unique node known as the recent
common ancestor.
• Basically, the roots of the phylogenetic tree
describe this recent common ancestor.
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ROOTEDTREE COMPONENTS
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EXAMPLE OF ROOTED TREE
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UNROOTED TREE
• The unrooted phylogenetic tree is a type of
phylogenetic tree that only describes the
relatedness of a group of organisms.
• Importantly, the leaf nodes of this type of
phylogenetic tree only show relatedness,
not the ancestry.
• Hence, it does not start with the recent
common ancestor and does not contain a
root.
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Diagrammaticrepresentationof rootedand
unrootedtree.
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EXAMPLE OF UNROOTED TREE
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Construction of phylogenetic tree
There are two different methods based on
which phylogenetic tree is constructed.
A. Distance based method
B. Character based method
i. Maximum parsimony .
ii. Maximum likelihood.
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Distance Base Method
 This method is based on the amount of the
distance or the dissimilarity between the
two aligned, sequences.
 in this method of constructing the
phylogenetic tree The sequence data is
transformed into pairwise distance and then
the matrix is used for building a tree
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Construction of phylogenetic tree by distance
based method
1. ATCGTGGTACTG
2. CCGGAGAACTAG
3. AACGTGCTACTG
4. ATGGTGAAAGTG
5. CCGGAAAACTTG
6. TGGCCCTGTATC
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A. ATCGTGGTACTG
B. CCGGAGAACTAG
C. AACGTGCTACTG
D. ATGGTGAAAGTG
E. CCGGAAAACTTG
F. TGGCCCTGTATC
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A B C D E F
A 9 2 4 9 10
B 9 6 2 10
C 5 9 10
D 6 10
E 10
F
A
B
C
E
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A/C B D E F
A/C 9 4.5 9 10
B 6 2 10
D 6 10
E 10
F
A/C B/E D F
A/C 9 4.5 10
B/E 6 10
D 10
F
A
C
D
E
B
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FINAL STEP
A/C/D B/E F
A/C/D 7.5 10
B/E 10
F
F
E
B
D
C
A
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MAXIMUM PARSIMONY
• It is a method to find out the
tree which has small possible
number of mutations.
• It is a method which uses only
few characters.
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Maximum parsimony
taxon 1 2 3
A G G G
B G T G
C T G T
D T T T
G G T T
A B C D
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Maximum likelihood
• It is a method of construction of
phylogenetic tree by the probability
method.
• By finding the probability between
two characters or sequences the
tree is constructed.
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Significanceof phylogenetictree
 It is the fundamental tool to derive
their most useful evidence from the
fields of anatomy, embryology,
paleontology and molecular
genetics.
 Used in search of new species.
 Used to study evolutionary histories.
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 To study how species were spread
geographically. To study common
ancestors of extant and extinct species.
 To represent evolutionary relationships
between organisms that are believed to
have some common ancestry.
 With the help of phylogenetic tree, the
infectious microbes can be traced along
with their evolutionary histories.
KKR1116 30
references
• NCBI
• Cold spring harbor protocol.
• Phylogenetic tree -Full theory
explanation CSIR – NET
(YouTube)
KKR1116 31
Thank you .
KKR1116 32

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Phylogenetic tree in microbial taxonomy

  • 2. content 1. Phylogeny 2. Phylogenetic tree : definition. 3. Origin of phylogenetic tree. 4. Types of phylogenetic tree. 5. Construction of phylogenetic tree. 6.significance of phylogenetic tree. KKR1116 2
  • 3. PHYLOGENY Phylogeny is the study of the history of the evolution of a organism species or group. OR Study of evolutionary relationships between species or organism. KKR1116 3
  • 4. PHYLOGENETICTREE  Diagrammatic representation.  It shows the evolution of the organisms or species.  It shows the relationship between the species or the group of organism. Also called “Tree of life” or “dendrogram”.  Referred as two dimensional graph as it represents the evolutionary relationship between an organism from various other organism.  Derived from the ancient Greek word, which refers to race,origin,or lineage. KKR1116 4
  • 5. origin/ historyof phylogenetictree. Carl Woese’s Classification KKR1116 5
  • 6. Carl Woese’s Classification is also known as the Three-domain system. This classification system divides the life forms into three domains and six kingdoms, that is why it also called the Six Kingdoms and Three Domains Classification. The three domains are archaea, bacteria, eukaryote, and six kingdoms are Archaebacteria (ancient bacteria), Eubacteria (true bacteria), Protista, Fungi, Plantae, Animalia. KKR1116 6
  • 7. Woese classified them based on their differences in the 16S ribosomal RNA (rRNA) structure. Carl Woese used the rRNA as an “Evolutionary Chronometer” – an evolutionary time clock. KKR1116 7
  • 9. TYPES OF PHYLOGENETIC TREE •ROOTED TREE •UNROOTED TREE KKR1116 9
  • 10. ROOTEDTREE • A rooted phylogenetic tree is a type of phylogenetic tree that describes the ancestry of a group of organisms. • Importantly, it is a directed tree, starting from a unique node known as the recent common ancestor. • Basically, the roots of the phylogenetic tree describe this recent common ancestor. KKR1116 10
  • 12. EXAMPLE OF ROOTED TREE KKR1116 12
  • 13. UNROOTED TREE • The unrooted phylogenetic tree is a type of phylogenetic tree that only describes the relatedness of a group of organisms. • Importantly, the leaf nodes of this type of phylogenetic tree only show relatedness, not the ancestry. • Hence, it does not start with the recent common ancestor and does not contain a root. KKR1116 13
  • 15. EXAMPLE OF UNROOTED TREE KKR1116 15
  • 17. Construction of phylogenetic tree There are two different methods based on which phylogenetic tree is constructed. A. Distance based method B. Character based method i. Maximum parsimony . ii. Maximum likelihood. KKR1116 17
  • 18. Distance Base Method  This method is based on the amount of the distance or the dissimilarity between the two aligned, sequences.  in this method of constructing the phylogenetic tree The sequence data is transformed into pairwise distance and then the matrix is used for building a tree KKR1116 18
  • 19. Construction of phylogenetic tree by distance based method 1. ATCGTGGTACTG 2. CCGGAGAACTAG 3. AACGTGCTACTG 4. ATGGTGAAAGTG 5. CCGGAAAACTTG 6. TGGCCCTGTATC KKR1116 19
  • 20. A. ATCGTGGTACTG B. CCGGAGAACTAG C. AACGTGCTACTG D. ATGGTGAAAGTG E. CCGGAAAACTTG F. TGGCCCTGTATC KKR1116 20
  • 21. A B C D E F A 9 2 4 9 10 B 9 6 2 10 C 5 9 10 D 6 10 E 10 F A B C E KKR1116 21
  • 22. A/C B D E F A/C 9 4.5 9 10 B 6 2 10 D 6 10 E 10 F A/C B/E D F A/C 9 4.5 10 B/E 6 10 D 10 F A C D E B KKR1116 22
  • 23. FINAL STEP A/C/D B/E F A/C/D 7.5 10 B/E 10 F F E B D C A KKR1116 23
  • 25. MAXIMUM PARSIMONY • It is a method to find out the tree which has small possible number of mutations. • It is a method which uses only few characters. KKR1116 25
  • 26. Maximum parsimony taxon 1 2 3 A G G G B G T G C T G T D T T T G G T T A B C D KKR1116 26
  • 27. Maximum likelihood • It is a method of construction of phylogenetic tree by the probability method. • By finding the probability between two characters or sequences the tree is constructed. KKR1116 27
  • 29. Significanceof phylogenetictree  It is the fundamental tool to derive their most useful evidence from the fields of anatomy, embryology, paleontology and molecular genetics.  Used in search of new species.  Used to study evolutionary histories. KKR1116 29
  • 30.  To study how species were spread geographically. To study common ancestors of extant and extinct species.  To represent evolutionary relationships between organisms that are believed to have some common ancestry.  With the help of phylogenetic tree, the infectious microbes can be traced along with their evolutionary histories. KKR1116 30
  • 31. references • NCBI • Cold spring harbor protocol. • Phylogenetic tree -Full theory explanation CSIR – NET (YouTube) KKR1116 31

Notes de l'éditeur

  1. is what the completed table looks like 03:12 with the table completed we can move to 03:15 the next step which is to use the table 03:17 to identify the sequences with the 03:19 fewest differences between them 03:20 we will infer that these are the 03:23 sequences that are the most closely 03:24 related to one another in our table we 03:28 see that the sequences with the fewest 03:30 differences between them are a and C 03:32 with only two differences as well as B 03:35 and E that also only have two 03:37 differences between them with this 03:40 information we can draw the first 03:42 groupings on our phylogenetic tree will 03:46 group a and C together to reflect the 03:48 fact that these two sequences show the 03:50 closest relationship we have here to one 03:52 another and we'll group B and E together 03:54 to reflect the fact that they also show 03:57 an equivalently close relationship to 03:59 one another with the first two groupings 04:02 made on a tree we now need to rework our 04:05 table with the grouped sequences 04:07 combined together as a grouping rather 04:09 than to individual entries in the table 04:11 we'll start by combining a and C this 04:14 group to do this will take the average 04:17 difference that a and C show to each of 04:21 the other sequences let's start with the 04:23 differences they show to be we see there 04:26 are nine differences between a and B and 04:28 nine differences between C and B 04:31 so the average difference of a and C to 04:33 be is nine and we can make that entry on 04:36 our new table let's move to the next 04:40 position D we can see there are four 04:44 differences between a and D and there 04:46 are five differences between C and D so 04:49 the average difference of a and C to D 04:52 is four point five and we can add that 04:54 entry on a new table we can complete the 04:58 rest of the table in this way we have an 05:01 average of nine differences between a 05:03 and C to e and ten differences to F the 05:07 rest of the table can be copied down 05:09 from the first table with the AC 05:13 grouping now added to our new table we 05:15 can proceed to also add the B e grouping 05:18 and to complete the table with B and E 05:21 grouped together using the same approach 05:23 as before for B and E we have an average 05:27 of nine differences to the AC group we 05:31 have four point five for a C to D and 05:33 ten for a C to F for B and E to D we 05:39 have an average of six differences and 05:42 an average of ten for being a to F and 05:45 there are also ten differences between 05:46 DNF with this table completed we can now 05:52 proceed to the next step this step is to 05:55 identify the sequences with the fewest 05:56 differences between them in our new 05:58 table we can see that the AC group has 06:02 only four point-five differences to D so 06:05 this is the next close relationship in 06:07 our tree and we can add this next 06:10 grouping to a tree like this with D as 06:13 the next grouping out from a and C 06:16 reflecting the fact that D is more 06:18 closely related to them than it is to 06:21 the other sequences we have with this 06:23 new grouping added to the tree we need 06:25 to rework our table again with the AC D 06:28 grouping incorporated we have an average 06:31 of 7.5 for AC and D to the B e group and 06:36 we have an average of 10 for AC and D to 06:39 F and we also have ten differences 06:41 between the B e group and half 06:44 with the new table completed we can now 06:48 determine the next relationship by 06:50 identifying the sequences in the table 06:51 with the fewest differences between them 06:53 again we can see that this is the ACD 06:56 group with the be e group with an 06:59 average of 7.5 differences so we can add 07:03 the next grouping to the tree like this 07:06 grouping the ACD group with the be e 07:09 group this now leaves us with one more 07:13 sequence F that is equally distantly 07:16 related to all the other sequences with 07:18 ten differences to each of them so we 07:21 can add this last grouping to the tree 07:22 like this reflecting the distant 07:25 relationship between F and all the other 07:28 sequences and this completes our 07:31 phylogenetic tree built from these six 07:34 DNA sequences the bet that we use to 07:38 build this tree is a distance method 07:40 specifically an approach called 07:42 unweighted pair group method with 07:44 arithmetic mean or upgma and th