2019
DOI: 10.1093/gigascience/giz030
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Chromosome-scale assemblies reveal the structural evolution of African cichlid genomes

Abstract: Background African cichlid fishes are well known for their rapid radiations and are a model system for studying evolutionary processes. Here we compare multiple, high-quality, chromosome-scale genome assemblies to elucidate the genetic mechanisms underlying cichlid diversification and study how genome structure evolves in rapidly radiating lineages. Results We re-anchored our recent assembly of the Nile tilapia ( Oreochromis niloticus ) genome… Show more

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Cited by 95 publications
(102 citation statements)
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“…We investigated the possibility of differential evolutionary patterns between inverted and non- (Conte, et al 2018). The authors compared the genome structure of the two species at the chromosome scale, taking advantage of the high quality of these references.…”
Section: Resultsmentioning
confidence: 99%
“…We investigated the possibility of differential evolutionary patterns between inverted and non- (Conte, et al 2018). The authors compared the genome structure of the two species at the chromosome scale, taking advantage of the high quality of these references.…”
Section: Resultsmentioning
confidence: 99%
“…In “only LG” sub-set, only the SNPs assigned to specific linkage groups [31] were used. That is, the SNPs not assigned to any linkage groups, and those assigned to the mitochondrial genome [48], were removed. Further, these SNPs on “only LG” subset were pruned based on different LD values in PLINKv1.90b6.7 [49].…”
Section: Methodsmentioning
confidence: 99%
“…TruSeq adapters and low‐quality reads and bases were trimmed using trimmomatic version 0.32 (Bolger, Lohse, & Usadel, ). Reads were mapped to the Nile tilapia ( Oreochromis niloticus , version “O_niloticus_UMD_NMBU”) reference genome (Conte, Gammerdinger, Bartie, Penman, & Kocher, ; Conte et al, ) using tophat2 version 2.0.13 (Kim et al, ) with the Metriaclima zebra UMD2a gene annotations (Conte et al,). Gene expression was quantified as FPKM (Fragments Per Kilobase of transcript per Million mapped reads) using cufflinks version 2.2.1 (Trapnell et al, ).…”
Section: Methodsmentioning
confidence: 99%