Maximally distant genomes under the DCJ operation
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1 Maximally distant genomes under the DCJ operation Manda Riehl Permutation Patterns, 2010 Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
2 Genomes Made of chromosomes. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
3 Genomes Made of chromosomes. Made of genes. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
4 Replication Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
5 Mouse and Human Genomes 90.2% of the human genome and 93.3% of the mouse genome lie in conserved syntenic segments. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
6 Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
7 Chromosomes as Permutations 3.5 Billion base pairs Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
8 Chromosomes as Permutations 3.5 Billion base pairs But only around 23,000 genes! Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
9 Chromosomes as Permutations 3.5 Billion base pairs But only around 23,000 genes! Direction matters: Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
10 Chromosomes as Permutations 3.5 Billion base pairs But only around 23,000 genes! Direction matters: GAU is aspartic acid. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
11 Chromosomes as Permutations 3.5 Billion base pairs But only around 23,000 genes! Direction matters: GAU is aspartic acid. UAG is STOP. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
12 Chromosomes as Permutations 3.5 Billion base pairs But only around 23,000 genes! Direction matters: GAU is aspartic acid. UAG is STOP. Even so, Christie (1996), Pevzner (1998), Labarre (2005) have also considered unsigned versions. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
13 Chromosomes as SIGNED Permutations indicates the substring 3 4 was attached to 1 2 backwards". Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
14 Distances between permutations Fundamental Question: Given two genomes/permutations, how many mistakes/mutations/operations do we need to change one into the other? Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
15 Distances between permutations Fundamental Question: Given two genomes/permutations, how many mistakes/mutations/operations do we need to change one into the other? Fundamental Answer: It depends on your operation. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
16 (Note: Because in this talk, we are using a multichromosal model, our signed permutations are more like broken" permutations, or ordered set partitions) Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
17 Inversions: Reverse the order of a chromosome or part of the genome Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
18 Inversions: Reverse the order of a chromosome or part of the genome Interchanges: Switch two segments of the genome Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
19 Inversions: Reverse the order of a chromosome or part of the genome Interchanges: Switch two segments of the genome Translocations: Swap the ends of two chromosomes Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
20 Inversions: Reverse the order of a chromosome or part of the genome Interchanges: Switch two segments of the genome Translocations: Swap the ends of two chromosomes Fusions: two segments are joined Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
21 Inversions: Reverse the order of a chromosome or part of the genome Interchanges: Switch two segments of the genome Translocations: Swap the ends of two chromosomes Fusions: two segments are joined Fissions: one segment is split into two Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
22 Inversions: Reverse the order of a chromosome or part of the genome Interchanges: Switch two segments of the genome Translocations: Swap the ends of two chromosomes Fusions: two segments are joined Fissions: one segment is split into two Circularizations and Linearizations: Convert between linear and circular chromosomes Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
23 Double Cut and Join Includes them all! Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
24 Double Cut and Join Includes them all! Pros: Very general Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
25 Double Cut and Join Includes them all! Pros: Very general Cons: Very general Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
26 Definitions An external vertex or telomere is half an element of the signed permutation whose tail or head is not connected to any other element. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
27 Definitions An external vertex or telomere is half an element of the signed permutation whose tail or head is not connected to any other element. An internal vertex or adjacency is half an element of the signed permutation with its tail or head joined to other elements (or itself). Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
28 Definitions An external vertex or telomere is half an element of the signed permutation whose tail or head is not connected to any other element. An internal vertex or adjacency is half an element of the signed permutation with its tail or head joined to other elements (or itself). Example: C... Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
29 Definitions An external vertex or telomere is half an element of the signed permutation whose tail or head is not connected to any other element. An internal vertex or adjacency is half an element of the signed permutation with its tail or head joined to other elements (or itself). Example: C... (2t), (4t), (3h), and (3t) are external vertices. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
30 Definitions An external vertex or telomere is half an element of the signed permutation whose tail or head is not connected to any other element. An internal vertex or adjacency is half an element of the signed permutation with its tail or head joined to other elements (or itself). Example: C... (2t), (4t), (3h), and (3t) are external vertices. (2h,1t), (1h,4h), and (5h,5t) are internal vertices. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
31 Double Cut and Join (Yancoupoulos 2005) A DCJ operation involves making two cuts in a genome and rejoining the pieces in one of the following ways: Two internal vertices (a,b) and (c,d) can be replaced with two new internal vertices (a,d) and (c,b) or (a,c) and (b,d). Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
32 Double Cut and Join (Yancoupoulos 2005) A DCJ operation involves making two cuts in a genome and rejoining the pieces in one of the following ways: Two internal vertices (a,b) and (c,d) can be replaced with two new internal vertices (a,d) and (c,b) or (a,c) and (b,d). An internal vertex (a,b) and an external vertex (c) can be replaced with a new internal and external vertex (a,c) and (b) or (b,c) and (a). Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
33 Double Cut and Join (Yancoupoulos 2005) A DCJ operation involves making two cuts in a genome and rejoining the pieces in one of the following ways: Two internal vertices (a,b) and (c,d) can be replaced with two new internal vertices (a,d) and (c,b) or (a,c) and (b,d). An internal vertex (a,b) and an external vertex (c) can be replaced with a new internal and external vertex (a,c) and (b) or (b,c) and (a). Two external vertices (a) and (b) can be replaced by an internal vertex (a,b). Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
34 Double Cut and Join (Yancoupoulos 2005) A DCJ operation involves making two cuts in a genome and rejoining the pieces in one of the following ways: Two internal vertices (a,b) and (c,d) can be replaced with two new internal vertices (a,d) and (c,b) or (a,c) and (b,d). An internal vertex (a,b) and an external vertex (c) can be replaced with a new internal and external vertex (a,c) and (b) or (b,c) and (a). Two external vertices (a) and (b) can be replaced by an internal vertex (a,b). An internal vertex (a,b) can be replaced by two external vertices (a) and (b). Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
35 The example below shows how a DCJ operation can transform one genome into another. a b a c c d iii b d Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
36 DCJ Distance The DCJ distance between two genomes on the same set of genes is defined to be the fewest number of Double-Cut-and-Join operations that it takes to transform one genome into the other. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
37 DCJ Distance The DCJ distance between two genomes on the same set of genes is defined to be the fewest number of Double-Cut-and-Join operations that it takes to transform one genome into the other. What for? Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
38 DCJ Distance The DCJ distance between two genomes on the same set of genes is defined to be the fewest number of Double-Cut-and-Join operations that it takes to transform one genome into the other. What for? Audience Poll: Which has a more recent common ancestor: humans and rabbits, humans and camels, or humans and pigs? Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
39 Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
40 Adjacency/Breakpoint Graph Any genome can be represented by a distinct arrangement of sets of internal vertices and external vertices. A bipartite adjacency graph is constructed with vertices corresponding to the sets of internal and external vertices of the two genomes. Two vertices are connected with an edge for every head or tail that they share. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
41 1t 1h2h 2t 3h4t 3t4h 1t 1h2h 2t 3h4t 3t4h 1t 1h4t 4h 2t2h 3t 3h 1t 1h4t 4h 2h2t 3t 3h Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
42 Distance Formula Distance Formula Theorem (Bergeron, Mixtacki, Stoye 2008) The DCJ distance between two genomes, A and B, defined on the same set of N genes is given by d DCJ (A, B) = N (C + I/2), where C is the number of cycles and I is the number of odd paths in the adjacency graph of A and B. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
43 Example d DCJ ( , ) Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
44 Distance distribution We were interested in exploring, for a starting permutation A, how the other permutations of the same length were distributed in terms of their distance from A. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
45 Distance distribution We were interested in exploring, for a starting permutation A, how the other permutations of the same length were distributed in terms of their distance from A. Questions: Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
46 Distance distribution We were interested in exploring, for a starting permutation A, how the other permutations of the same length were distributed in terms of their distance from A. Questions: Are most" genomes near A or far from A? Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
47 Distance distribution We were interested in exploring, for a starting permutation A, how the other permutations of the same length were distributed in terms of their distance from A. Questions: Are most" genomes near A or far from A? What features of A will this distribution depend on? Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
48 Distance distribution We were interested in exploring, for a starting permutation A, how the other permutations of the same length were distributed in terms of their distance from A. Questions: Are most" genomes near A or far from A? What features of A will this distribution depend on? Are there symmetry properties of this distribution? Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
49 Maximum Distance Obvious Corollary to BMS: The maximum distance between two genomes is N and occurs when C + I/2 = 0. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
50 Maximum Distance Obvious Corollary to BMS: The maximum distance between two genomes is N and occurs when C + I/2 = 0. This means that there are no cycles and no odd paths in the adjacency graph of two maximally distant genomes. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
51 Maximum Distance By considering an arbitrary starting genome, A, defined on N signed genes and counting the number of distinct adjacency graphs that could be created from it containing only even paths we showed: Theorem The number of maximally distant genomes is given by G max (m, n) = (2m 1)!! n ( n+m 1 k=0 k )( n k ) 2 k k!, where 2m is the number of telomeres, and n is the number of adjacencies in A. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
52 Show me the values! m n N/A Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
53 Theorem G(m, 1) = G(m+1, 0) Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
54 Theorem G(m, 1) = G(m+1, 0) Conjecture: G(m, n) G(s, t) otherwise. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
55 Generating Functions (for fixed m) Theorem The exponential generating function for the sequence {g m } is given by x 1 2x e f m (x) = (2m 1)!! (1 2x) m, Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
56 Chromosomes as UNSIGNED permutations No known nice formula for distance as in signed case. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
57 Chromosomes as UNSIGNED permutations No known nice formula for distance as in signed case. The method of BMS breaks down thoroughly. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
58 Chromosomes as UNSIGNED permutations No known nice formula for distance as in signed case. The method of BMS breaks down thoroughly. Python program to generate data. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
59 Number of unsigned genomes distance D from a single linear chromosome of length N N \ D Column when n = 1 is A in OEIS. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
60 Strategy The key to BMS s success was a clever data structure. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
61 Strategy The key to BMS s success was a clever data structure. Graphs don t seem to work. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
62 Strategy The key to BMS s success was a clever data structure. Graphs don t seem to work. Find a new data structure! Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
63 Strategy The key to BMS s success was a clever data structure. Graphs don t seem to work. Find a new data structure! Must incorporate the symmetries. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
64 *In progress* Consider the vertices of your two genomes as ordered pairs, with external vertices having a 0 in their pair. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
65 *In progress* Consider the vertices of your two genomes as ordered pairs, with external vertices having a 0 in their pair. Plot the vertices, and their reflections across the line x = y, on the upper right quarter plane. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
66 *In progress* Consider the vertices of your two genomes as ordered pairs, with external vertices having a 0 in their pair. Plot the vertices, and their reflections across the line x = y, on the upper right quarter plane. Use circles for your start genome, crosses for your destination. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
67 *In progress* Consider the vertices of your two genomes as ordered pairs, with external vertices having a 0 in their pair. Plot the vertices, and their reflections across the line x = y, on the upper right quarter plane. Use circles for your start genome, crosses for your destination. Imagine an infinite source of circles at (0, 0). Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
68 About the Game Board No more than 2 of the same symbol at each grid point. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
69 About the Game Board No more than 2 of the same symbol at each grid point. Row and column restrictions arise from genome motivation. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
70 About the Game Board No more than 2 of the same symbol at each grid point. Row and column restrictions arise from genome motivation. Want to abolish all crosses by moving circles on top of them. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
71 Rules of the Game Take a circle, move it in its row or column. Recording these moves gives a sequence of unsigned DCJ operations. When all crosses have been destroyed, you have reached your destination genome. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
72 Rules of the Game Take a circle, move it in its row or column. (Do the reflection of this move simultaneously with the reflected circle.) Recording these moves gives a sequence of unsigned DCJ operations. When all crosses have been destroyed, you have reached your destination genome. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
73 Rules of the Game Take a circle, move it in its row or column. (Do the reflection of this move simultaneously with the reflected circle.) At a right angle to the new location, move the next circle an opposite move, if it exists. Recording these moves gives a sequence of unsigned DCJ operations. When all crosses have been destroyed, you have reached your destination genome. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
74 Rules of the Game Take a circle, move it in its row or column. (Do the reflection of this move simultaneously with the reflected circle.) At a right angle to the new location, move the next circle an opposite move, if it exists. OR: Take two circles (0, a),(0, b) and create one circle (a, b), or vice versa. Recording these moves gives a sequence of unsigned DCJ operations. When all crosses have been destroyed, you have reached your destination genome. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
75 Strategy of the Game Want to move circles onto crosses as much as possible. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
76 Strategy of the Game Want to move circles onto crosses as much as possible. Do doubles when you can, and choose doubles to get the most doubles immediately. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
77 Strategy of the Game Want to move circles onto crosses as much as possible. Do doubles when you can, and choose doubles to get the most doubles immediately. A double is always better than a single. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
78 Strategy of the Game Want to move circles onto crosses as much as possible. Do doubles when you can, and choose doubles to get the most doubles immediately. A double is always better than a single. No single is better than any other! Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
79 In progress: Complicated proof by contradiction outlining why no single is better than any other. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
80 In progress: Complicated proof by contradiction outlining why no single is better than any other. Basically, large loops of dependencies terminate. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
81 In progress: Complicated proof by contradiction outlining why no single is better than any other. Basically, large loops of dependencies terminate. Not only shows that the maximum distance is n, but also gives the sequences of DCJ s. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
82 Questions: Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
83 Questions: Is there a better data structure that yields a distance without the work of finding the sequence of moves? Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
84 Questions: Is there a better data structure that yields a distance without the work of finding the sequence of moves? The total number of these unsigned genomes is not known. Is there a smart way to count them? Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
85 Thank you to the organizers for allowing me to speak and all their hard work. Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
86 Manda Riehl (UW Eau Claire) Max Distance Genomes PP / 37
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