Data · dataset · 2021
Data from: Untangling the early diversification of eukaryotes: a phylogenomic study of the evolutionary origins of Centrohelida, Haptophyta, and Cryptista
Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/wbkeab
Description
Abstract
Assembling the global eukaryotic tree of life has long been a major effort of Biology. In recent years, pushed by the new availability of genome-scale data for microbial eukaryotes, it has become possible to revisit many evolutionary enigmas. However, some of the most ancient nodes, which are essential for inferring a stable tree, have remained highly controversial.
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Among other reasons, the lack of adequate genomic datasets for key taxa has prevented the robust reconstruction of early diversification events. In this context, the centrohelid heliozoans are particularly relevant for reconstructing the tree of eukaryotes because they represent one of the last substantial groups that was missing large and diverse genomic data. Here, we filled this gap by sequencing high-quality transcriptomes for four centrohelid lineages, each corresponding to a different family.
Combining these new data with a broad eukaryotic sampling, we produced a gene-rich taxon-rich phylogenomic dataset that enabled us to refine the structure of the tree. Specifically, we show that (i) centrohelids relate to haptophytes, confirming Haptista; (ii) Haptista relates to SAR; (iii) Cryptista share strong affinity with Archaeplastida; and (iv) Haptista + SAR is sister to Cryptista + Archaeplastida. The implications of this topology are discussed in the broader context of plastid evolution.
Usage notes
Transcriptome assembly of Amastigomonas sp RNA-seq assembly of Amastigomonas sp. from Genbank SRA accession #SRR2170627. Read quality was assessed with FastQC before and after quality trimming and SMART adaptors removal, which was performed with FastqMcf. Cleaned reads were assembled into contigs with Trinity r20140717 using default parameters.
Amastigomonas_sp_transcriptome.fasta.zip Transcriptome assembly of Raineriophrys erinaceoides RNA-seq assembly of Raineriophrys erinaceoides from Genbank SRA accession #SRR2170634. Read quality was assessed with FastQC before and after quality trimming and SMART adaptors removal, which was performed with FastqMcf. Cleaned reads were assembled into contigs with Trinity r20140717 using default parameters.
Raineriophrys_erinaceoides_transcriptome.fasta.zip Transcriptome assembly of Choanocystis sp RNA-seq assembly of Choanocystis sp. from Genbank SRA accession #SRR2170626. Read quality was assessed with FastQC before and after quality trimming and SMART adaptors removal, which was performed with FastqMcf. Cleaned reads were assembled into contigs with Trinity r20140717 using default parameters Choanocystis_sp_transcriptome.fasta.zip Transcriptome assembly of Acanthocystis sp RNA-seq assembly of Acanthocystis sp. from Genbank SRA accession #SRR2170625.
Read quality was assessed with FastQC before and after quality trimming and SMART adaptors removal, which was performed with FastqMcf. Cleaned reads were assembled into contigs with Trinity r20140717 using default parameters Acanthocystis_sp_transcriptome.fasta.zip Transcriptome assembly of Raphidiophrys heterophryoidea RNA-seq assembly of Raphidiophrys heterophryoidea from Genbank SRA accession #SRR2170621. Read quality was assessed with FastQC before and after quality trimming and SMART adaptors removal, which was performed with FastqMcf.
Cleaned reads were assembled into contigs with Trinity r20140717 using default parameters Raphidiophrys_heterophryoidea_transcriptome.fasta.zip Trimmed alignment Trimmed alignment of all 250 genes. BMGE was used for trimming, following MAFFT-LINSI for automatic alignment. fasta_trimmed.zip Untrimmed sequences Fasta files of all 250 genes containing untrimmed sequences. fasta_untrimmed.zip Single-gene phylogenetic trees RAxML phylogenetic trees of all 250 genes. trees.zip
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP2%2FWBKEAB ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp2/wbkeab ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP2%2… ↗
metadata API · from borealisdata ca
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Genome sequencing 65% · Plant and fungus systematics and taxonomy 79% · RNA sequencing 65% · Sequencing 75%
Provenance · 2 source records, 23 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP2/WBKEAB | 10 d ago | JSON v1 |
| Agri-environmental Research Data Dataverse | doi:10.5683/SP2/WBKEAB | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:310411 | enrichment · borealisdata ca | taxonomy-embedding@1.0.0 | title+keywords+description (79%) |
| concepts[field].dataverse_subject:other | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].dataverse_subject:other | source · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[modality].local:modality:genome-sequencing | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:rna-seq | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |