The family Trichomycteridae is one of the most diverse groups of freshwater catfishes in South and Central America with eight subfamilies, 41 genera and more than 300 valid species. Its members are widely distributed throughout South America, reaching Costa Rica in Central America and are recognized by extraordinary anatomical specializations and trophic diversity. In order to assess the phylogenetic relationships of Trichomycteridae, we collected sequence data from ultraconserved elements (UCEs) of the genome from 141 specimens of Trichomycteridae and 12 outgroup species. We used a concatenated matrix to assess the phylogenetic relationships by Bayesian inference (BI) and maximum likelihood (ML) searches and a coalescent analysis of species trees. The results show a highly resolved phylogeny with broad agreement among the three distinct analyses, providing overwhelming support for the monophyletic status of subfamily Trichomycterinae including Ituglanis and Scleronema. Previous relationship hypotheses among subfamilies are strongly corroborated, such as the sister relationship between Copionodontinae and Trichogeninae forming a sister clade to the remaining trichomycterids and the intrafamilial clade TSVSG (Tridentinae-Stegophilinae-Vandelliinae-Sarcoglanidinae-Glanapteryginae). Monophyly of Glanapteryginae and Sarcoglanidinae was not supported and the enigmatic Potamoglanis is placed outside Tridentinae.

Premise Apocynaceae is the 10th largest flowering plant family and a focus for study of plant–insect interactions, especially as mediated by secondary metabolites. However, it has few genomic resources relative to its size. Target capture sequencing is a powerful approach for genome reduction that facilitates studies requiring data from the nuclear genome in non-model taxa, such as Apocynaceae. Methods Transcriptomes were used to design probes for targeted sequencing of putatively single-copy nuclear genes across Apocynaceae. The sequences obtained were used to assess the success of the probe design, the intrageneric and intraspecific variation in the targeted genes, and the utility of the genes for inferring phylogeny. Results From 853 candidate nuclear genes, 835 were consistently recovered in single copy and were variable enough for phylogenomics. The inferred gene trees were useful for coalescent-based species tree analysis, which showed all subfamilies of Apocynaceae as monophyletic, while also resolving relationships among species within the genus Apocynum. Intraspecific comparison of Elytropus chilensis individuals revealed numerous single-nucleotide polymorphisms with potential for use in population-level studies. Discussion Community use of this Hyb-Seq probe set will facilitate and promote progress in the study of Apocynaceae across scales from population genomics to phylogenomics.

Multigene families evolve from single‐copy ancestral genes via duplication, and typically encode proteins critical to key biological processes. Molecular analyses of these gene families require high‐…

We developed an in-solution gluten exome capture system called GlutEnSeq (Gluten gene Enrichment and Sequencing), covering the sequence variation of thousands of prolamin genes from various Triticeae species and cultivars. We assessed the efficacy of this capture system in hexaploid wheat (Triticum aestivum L.) using Illumina sequencing. On-target regions were determined based on the Chinese Spring (CS) reference genome sequence. Gluten gene sequences were generally enriched around 10,000-fold. The loss of gluten genes in CS deletion line 1BS-19/6DS-4 was detected as absence of gluten gene coverage on chromosomes 1B and Un (containing the Unmapped α-gliadin genes of chromosome 6D). Two γ-irradiated lines of cultivar Paragon, shown to be affected in their gliadin protein profile, were found to contain homozygous deletions for the α-gliadins on 6A and the γ-gliadins on 1B. Four Fielder CRISPR/Cas9 gliadin gene-edited lines revealed homozygous deletions of the γ-gliadins on 1B and heterozygous deletions for the α-gliadins on 6A. We also detected a decrease of gluten gene coverage within some gluten genes. The bioinformatics pipeline developed here will be further optimised to enable characterisation of small indels within individual gluten genes, in order to fully analyse CRISPR/Cas9 mutant lines for their decrease in immunogenicity for Coeliac patients.