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1.
Nat Commun ; 10(1): 5707, 2019 Dec 10.
Article in English | MEDLINE | ID: mdl-31822665

ABSTRACT

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

2.
Nat Commun ; 9(1): 4737, 2018 11 09.
Article in English | MEDLINE | ID: mdl-30413698

ABSTRACT

Detecting the genomic changes underlying phenotypic changes between species is a main goal of evolutionary biology and genomics. Evolutionary theory predicts that changes in cis-regulatory elements are important for morphological changes. We combined genome sequencing, functional genomics and genome-wide comparative analyses to investigate regulatory elements in lineages that lost morphological traits. We first show that limb loss in snakes is associated with widespread divergence of limb regulatory elements. We next show that eye degeneration in subterranean mammals is associated with widespread divergence of eye regulatory elements. In both cases, sequence divergence results in an extensive loss of transcription factor binding sites. Importantly, diverged regulatory elements are associated with genes required for normal limb patterning or normal eye development and function, suggesting that regulatory divergence contributed to the loss of these phenotypes. Together, our results show that genome-wide decay of the phenotype-specific cis-regulatory landscape is a hallmark of lost morphological traits.


Subject(s)
Biological Evolution , Gene Expression Regulation , Gene Regulatory Networks , Genetic Variation , Animals , Binding Sites , Conserved Sequence/genetics , DNA, Intergenic/genetics , Extremities/embryology , Eye/pathology , Genome , Lizards/genetics , Mammals/genetics , Molecular Sequence Annotation , Phenotype , Sequence Analysis, DNA , Snakes/genetics , Transcription Factors/metabolism
3.
Nat Commun ; 9(1): 1215, 2018 03 23.
Article in English | MEDLINE | ID: mdl-29572503

ABSTRACT

Identifying the genomic changes that underlie phenotypic adaptations is a key challenge in evolutionary biology and genomics. Loss of protein-coding genes is one type of genomic change with the potential to affect phenotypic evolution. Here, we develop a genomics approach to accurately detect gene losses and investigate their importance for adaptive evolution in mammals. We discover a number of gene losses that likely contributed to morphological, physiological, and metabolic adaptations in aquatic and flying mammals. These gene losses shed light on possible molecular and cellular mechanisms that underlie these adaptive phenotypes. In addition, we show that gene loss events that occur as a consequence of relaxed selection following adaptation provide novel insights into species' biology. Our results suggest that gene loss is an evolutionary mechanism for adaptation that may be more widespread than previously anticipated. Hence, investigating gene losses has great potential to reveal the genomic basis underlying macroevolutionary changes.


Subject(s)
Adaptation, Physiological/genetics , Genome , Genomics , Animals , Biodiversity , Biological Evolution , Cattle , Cetacea , Chiroptera , Dogs , Epidermis , Evolution, Molecular , Mice , Mutation , Phenotype , Phylogeny , Rats , Species Specificity , Sperm Whale
4.
Bioinformatics ; 33(11): 1596-1603, 2017 Jun 01.
Article in English | MEDLINE | ID: mdl-28108446

ABSTRACT

MOTIVATION: Accurate alignments between entire genomes are crucial for comparative genomics. However, computing sensitive and accurate genome alignments is a challenging problem, complicated by genomic rearrangements. RESULTS: Here we present a fast approach, called chainCleaner, that improves the specificity in genome alignments by accurately detecting and removing local alignments that obscure the evolutionary history of genomic rearrangements. Systematic tests on alignments between the human and other vertebrate genomes show that chainCleaner (i) improves the alignment of numerous orthologous genes, (ii) exposes alignments between exons of orthologous genes that were masked before by alignments to pseudogenes, and (iii) recovers hundreds of kilobases in local alignments that otherwise would fall below a minimum score threshold. Our approach has broad applicability to improve the sensitivity and specificity of genome alignments. AVAILABILITY AND IMPLEMENTATION: http://bds.mpi-cbg.de/hillerlab/chainCleaner/ or https://github.com/ucscGenomeBrowser/kent. CONTACT: hiller@mpi-cbg.de. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Subject(s)
Genomics/methods , Sequence Alignment/methods , Sequence Analysis, DNA/methods , Software , Animals , Biological Evolution , Genome , Humans , Sensitivity and Specificity , Vertebrates/genetics
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