Reconciling multiple genes trees via segmental duplications and losses
Reconciling gene trees with a species tree is a fundamental problem to understand the evolution of gene families. Many existing approaches reconcile each gene tree independently. However, it is well-known that the evolution of gene families is interconnected. In this paper, we extend a previous appr...
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| Published in: | Algorithms for molecular biology Vol. 14; no. 1; pp. 7 - 19 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
BioMed Central
20.03.2019
Springer Nature B.V BMC |
| Subjects: | |
| ISSN: | 1748-7188, 1748-7188 |
| Online Access: | Get full text |
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| Summary: | Reconciling gene trees with a species tree is a fundamental problem to understand the evolution of gene families. Many existing approaches reconcile each gene tree independently. However, it is well-known that the evolution of gene families is interconnected. In this paper, we extend a previous approach to reconcile a set of gene trees with a species tree based on segmental macro-evolutionary events, where segmental duplication events and losses are associated with cost
δ
and
λ
, respectively. We show that the problem is polynomial-time solvable when
δ
≤
λ
(via LCA-mapping), while if
δ
>
λ
the problem is NP-hard, even when
λ
=
0
and a single gene tree is given, solving a long standing open problem on the complexity of multi-gene reconciliation. On the positive side, we give a fixed-parameter algorithm for the problem, where the parameters are
δ
/
λ
and the number
d
of segmental duplications, of time complexity
O
⌈
δ
λ
⌉
d
·
n
·
δ
λ
. Finally, we demonstrate the usefulness of this algorithm on two previously studied real datasets: we first show that our method can be used to confirm or raise doubt on hypothetical segmental duplications on a set of 16 eukaryotes, then show how we can detect whole genome duplications in yeast genomes. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 1748-7188 1748-7188 |
| DOI: | 10.1186/s13015-019-0139-6 |