Heliconiine butterflies
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA552081 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9620100_1.fastq.gz | Fastqsanger.gz | |||
| SRR9620100_2.fastq.gz | Fastqsanger.gz | |||
| SRR9620110_1.fastq.gz | Fastqsanger.gz | |||
| SRR9620110_2.fastq.gz | Fastqsanger.gz | |||
| SRR9620120_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:We use RNAseq data to perform differential gene expression to identify genes controlling structural colouration in two co-mimetic species of Heliconius butterfly - Heliconius erato and Heliconius melpomene. We use comparisons between iridescent and non-iridescent subspecies of Helcionius erato (H. e. cyrbia and H. e. demophoon, respectively) and Helcionius melpomene (H. m. cythera and H. m. rosina, respectively) at two separate developmental stages, 50% and 70% of development. In addition, in the iridescent subspecies of both H. erato and H. melpomene, we compared the iridescent wing regions (forewing and hindwing combined) to the non-iridescent androconial wing region using differential gene expression.
2021-12-10 | GSE190378 | GEO
Project description:We use RNAseq data to perform differential gene expression analysis to identify genes controlling structural colouration in two co-mimetic species of Heliconius butterfly - Heliconius erato and Heliconius melpomene. We use comparisons between iridescent and non-iridescent subspecies of Helcionius erato (H. e. cyrbia and H. e. demophoon, respectively) and Helcionius melpomene (H. m. cythera and H. m. rosina, respectively) at two separate developmental stages, 50% and 70% of development. In addition, in the iridescent subspecies of both H. erato and H. melpomene, we compared the iridescent wing regions (forewing and hindwing combined) to the non-iridescent androconial wing (anterior hindwing) region using differential gene expression.
2021-12-10 | GSE190379 | GEO
Project description:RNA was extracted using Trizol from heads of 5 Heliconius species: H. erato, H. charithonia, H. melpomene, H. doris and H. sara. An illumina TruSeq kit was used to generate RNA-Seq libraries which were sequenced using 100 bp paired-end sequencing. Sequence data was used to compare gene expression between males and females within species. Differentially expressed genes were annotated for functions and compared across species. Data was also used to detect for dosage compensation in all species.
2019-06-13 | E-MTAB-6810 | biostudies-arrayexpress
Project description:Aposematic color pattern mimicry in Heliconius butterflies provides a well-known example of adaptation via selection on a few genes of large effect. To understand how selection at individual genes can drive the evolution of complex traits, we functionally characterized five novel enhancers of the color pattern gene, optix. In Heliconius erato we found that wing pattern enhancers are largely ancestral, pleiotropic, functionally interdependent, and introgressed between populations. Remarkably, many of these enhancers are also associated with regional pattern variation in the distantly related co-mimics Heliconius melpomene and Heliconius timareta. Our findings provide a case study of how parallel co-evolution of ancient, multifunctional regulatory elements can facilitate the rapid diversification of complex phenotypes, and provide a counterpoint to many widespread assumptions of cis-regulatory evolution.
2021-06-04 | GSE123703 | GEO
Project description:Aposematic color pattern mimicry in Heliconius butterflies provides a well-known example of adaptation via selection on a few genes of large effect. To understand how selection at individual genes can drive the evolution of complex traits, we functionally characterized five novel enhancers of the color pattern gene, optix. In Heliconius erato we found that wing pattern enhancers are largely ancestral, pleiotropic, functionally interdependent, and introgressed between populations. Remarkably, many of these enhancers are also associated with regional pattern variation in the distantly related co-mimics Heliconius melpomene and Heliconius timareta. Our findings provide a case study of how parallel co-evolution of ancient, multifunctional regulatory elements can facilitate the rapid diversification of complex phenotypes, and provide a counterpoint to many widespread assumptions of cis-regulatory evolution.
2021-06-04 | GSE123701 | GEO
Project description:Aposematic color pattern mimicry in Heliconius butterflies provides a well-known example of adaptation via selection on a few genes of large effect. To understand how selection at individual genes can drive the evolution of complex traits, we functionally characterized five novel enhancers of the color pattern gene, optix. In Heliconius erato we found that wing pattern enhancers are largely ancestral, pleiotropic, functionally interdependent, and introgressed between populations. Remarkably, many of these enhancers are also associated with regional pattern variation in the distantly related co-mimics Heliconius melpomene and Heliconius timareta. Our findings provide a case study of how parallel co-evolution of ancient, multifunctional regulatory elements can facilitate the rapid diversification of complex phenotypes, and provide a counterpoint to many widespread assumptions of cis-regulatory evolution.
2021-06-04 | GSE123700 | GEO
Project description:Background: Heliconius butterflies are an excellent model system for studies of adaptive convergent and divergent phenotypic traits. Wing colour patterns are used as signals to both predators and potential mates and are inherited in a Mendelian manner. The underlying genetic mechanisms of pattern formation have been studied for many years and shed light on broad issues, such as the repeatability of evolution. In Heliconius melpomene, the yellow hindwing bar is controlled by the HmYb locus and several genes in this region show expression pattern differences across races. MicroRNAs (miRNAs) are important post-transcriptional regulators of gene expression that have key roles in many biological processes, including development. It seems likely that miRNAs could act as downstream regulators of genes involved in wing development, patterning and pigmentation. For this reason we characterised miRNAs in developing butterfly wings and examined differences in their expression between colour pattern races. Results: We sequenced small RNA libraries from two colour pattern races and detected 142 Heliconius miRNAs with homology to others found in miRBase. Several highly abundant miRNAs appeared to be differentially expressed between colour pattern races and this was tested further in different developing pupal wing stages using Northern blots. These revealed that differences in expression were due to developmental stage rather than colour pattern. Assembly of sequenced reads to the HmYb region identified miR-193 and miR-2788; located 2380bp apart in an intergenic region. A search for miRNAs in all available H. melpomene BAC sequences (~2.5Mb) did not reveal any other miRNA genes and no novel miRNAs were predicted. There were several regions where other small RNA sequences assembled to the HmYb region and appeared to be differentially expressed.These might represent other regulatory RNAs. Conclusions: Here we describe the first butterfly miRNAs and characterise their expression in developing wings. Some show differences in expression across developing pupal stages. Two miRNAs were located in the HmYb region. Future work will examine the expression of these miRNAs in different colour pattern races and identify miRNA targets among wing patterning genes. High-throughput sequencing of Heliconius melpomene endogenous small RNAs. Size fractionated small RNA from total RNA extracts of two different Heliconius melpomene races (Heliconius melpomene melpomene and Heliconius melpomene rosina) were isolated from wing tissue using miRVana kit. 100µg RNA from 11 individuals of different developmental stages was pooled for each race as follows: 4.1% larval stage <1; 2% larval stage 1-1.75; 2.9% larval stage 2-2.5; 22% larval stage 2.75-3; 19% larval stage > 3; 25% early pupae; 25% mid-melanin pupae. Sequences were ligated to adapters, purified again and reverse transcribed. After PCR amplification the sample was subjected to Solexa/Illumina high throughput pyrosequencing. Please see www.illumina.com for details of the sequencing technology.
2011-06-02 | E-GEOD-23292 | biostudies-arrayexpress
Project description:We investigated gene expression levels in Heliconius erato butterflies with divergent wing patterns across a 656KB genomic interval linked to the red color pattern wing polymorphism. This included comparison of expression between two H. erato color pattern populations (H. e. petiverana and a H.e. etylus x H. himera hybrid) across three sections of the forewing that differed in pigmentation (the basal, mid, and distal wing sections) and five different stages of pupal development (Day 1, 3, 5 pupae and ommochrome and melanin pigmentation stages). These results allowed us to determine whether certain genes in this interval were differentially expressed between the wing pattern elements, and, therefore, potentially responsible for adaptive color pattern variation in these butterflies.
2011-12-02 | GSE30221 | GEO
Project description:Heliconius butterfly wing pattern diversity offers a unique opportunity to investigate how natural genetic variation can drive the evolution of complex adaptive phenotypes. Here we took a large-scale transcriptomic approach to identify the network of genes involved in Heliconius wing pattern development and variation. This included applying 147 microarrays representing the Heliconius transcriptome to assay shifts in gene expression across pupal development among several wing pattern morphs of Heliconius erato. We focused in particular on genes differentially expressed relative to the gene optix, which controls red pattern elements in wings. We combined expression results from three hindwing morphs from Peru and from dissected basal to apical wing elements in two forewing morphs to uncover two main classes of genes. First we looked for candidate upstream regulators of optix by determining transcripts expressed differently across basal to apical sections of the forewing prior to optix expression. Second, we assessed how optix regulates downstream gene expression by targeting transcripts with differential expression similar to optix, where expression differs among red wing pattern elements of both the forewing and hindwing.
2012-07-01 | GSE38084 | GEO
Project description:Heliconius butterfly wing pattern diversity offers a unique opportunity to investigate how natural genetic variation can drive the evolution of complex adaptive phenotypes. Here we took a large-scale transcriptomic approach to identify the network of genes involved in Heliconius wing pattern development and variation. This included applying 147 microarrays representing the Heliconius transcriptome to assay shifts in gene expression across pupal development among several wing pattern morphs of Heliconius erato. We focused in particular on genes differentially expressed relative to the gene optix, which controls red pattern elements in wings. We combined expression results from three hindwing morphs from Peru and from dissected basal to apical wing elements in two forewing morphs to uncover two main classes of genes. First we looked for candidate upstream regulators of optix by determining transcripts expressed differently across basal to apical sections of the forewing prior to optix expression. Second, we assessed how optix regulates downstream gene expression by targeting transcripts with differential expression similar to optix, where expression differs among red wing pattern elements of both the forewing and hindwing. This study is an analysis of two distinct datasets generated using the same microarray platform. One dataset involved comparative analysis of forewing sections of different color morphs, while the other compared whole hindwings with different color patterns. For the forewing analysis we compared proximal, medial, and distal wing sections of two color pattern morphs: H. erato petiverana and a hybrid H. himera x H. erato etylus. The proximal section in H. erato petiverana is black and the hybrid form orange/red, the medial section is red in H. erato petiverana and pale yellow in the hybrid form, and the distal section is black in both races. For the hindwing analysis, we compared hindwing color pattern gene expression in three races that meet in a hybrid zone in Peru. H. erato emma has a rayed hindwing, H. erato favorinus has a yellow-barred hindwing, and H. erato amphritrite has a black hindwing. Wings were dissected at five time intervals: 1, 3, and 5 days after pupation, when orange/red ommochrome pigments were beginning to be expressed (~7 days after pupation), and when black melanin pigments were starting to pepper the center of the wings (~8 days after pupation). In the forewings, Days 1, 3, and 5 were at 12, 36, and 60 hours post-pupation. In the hindwings these stages were sampled at 24, 48, and 72 hours. Samples hybridized to microarrays included three replicates each of each race, stage, and wing section for forewings (3 replicates x 2 morphs x 3 wing sections x 5 stages, with one replicate wing missing for Day 1 H. e. petiverana = 87 samples) and four replicates of each stage and race for hindwings (4 replicates x 3 races x 5 stages = 60 samples). Total RNA was extracted and converted to cDNA. Cy3-labeling of samples, hybridization, and array scanning was performed according to NimbleGen protocols (2008): for the forewings this was performed at the City of Hope Functional Genomics Core, while the hindwings were run separately at NCSU.Samples were hybridized to NimbleGen HD2 12-plex arrays. These arrays include 12 identical subarrays with 135,000 60 bp probes each, each hybridizing a separate sample. Samples were distributed across arrays to prevent repeat conditions as much as possible and to space similar conditions in different regions of the slide. The array design involved two classes of probes. First there was a tiling component involving 89,310 probes tiled across three genomic intervals. Results from the tiling data were used for the initial discovery of the optix gene and are not the focus of the present study. The second component involved a representation of a set of 12,450 transcript contigs at 1-6X coverage for a total of 40,046 probes, with a mean coverage of 3-4 probes per contig. The number of probes for each contig depended on the ability to create suitable probes according to NimbleGen probe selection criteria and was limited by the small size of some transcripts and the minimum spacing criterion of 15 bp apart. Sequences of low complexity and high repeats with the rest of the genome (>5X representation), determined by comparison against 1.6 MB of genomic sequence available at the time, were avoided for designing probes. An additional 3,248 random probes were placed on the array for quality control.
2012-06-30 | E-GEOD-38084 | biostudies-arrayexpress