ArticleAnnals of botany2021
Aiming off the target: recycling target capture sequencing reads for investigating repetitive DNA.
Article in Annals of botany, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Integrative utilization of genomic resources for improved phylogenetic resolution in Sonerileae (Melastomataceae).American journal of botany · 2026Article
- The Repeatome in the Mega-GenusGenes · 2026Article
- Repeat competition and ecological shifts drive the evolution of the mobilome in Rhynchospora Vahl (Cyperaceae), the holocentric beaksedges.Annals of botany · 2025Article
- How much can reticulate evolution entangle plant systematics? Revisiting subfamilial classification of the Malvatheca clade (Malvaceae) on the basis of phylogenomics.Frontiers in plant science · 2025Article
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- Holocentric repeat landscapes: From micro-evolutionary patterns to macro-evolutionary associations with karyotype evolution.Molecular ecology · 2024Article
- The effect of missing data on evolutionary analysis of sequence capture bycatch, with application to an agricultural pest.Molecular genetics and genomics : MGG · 2024Article
- Oligo-barcode illuminates holocentric karyotype evolution inFrontiers in plant science · 2024Article
- Investigating the diversification of holocentromeric satellite DNA Tyba in Rhynchospora (Cyperaceae).Annals of botany · 2023Article
- Fishing for DNA? Designing baits for population genetics in target enrichment experiments: Guidelines, considerations and the new tool supeRbaits.Molecular ecology resources · 2022Article
- Can we have it all? Repurposing target capture for repeat genomics. A commentary on: 'Aiming off the target: recycling target capture sequencing reads for investigating repetitive DNA'.Annals of botany · 2021Article
- Target capture and genome skimming for plant diversity studies.Applications in plant sciencesArticle
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Authors and funding
10 authors at 6 institutions in 5 countries.
Funding
Abstract
BACKGROUND AND
aimsWith the advance of high-throughput sequencing, reduced-representation methods such as target capture sequencing (TCS) emerged as cost-efficient ways of gathering genomic information, particularly from coding regions. As the off-target reads from such sequencing are expected to be similar to genome skimming (GS), we assessed the quality of repeat characterization in plant genomes using these data.
methodsRepeat composition obtained from TCS datasets of five Rhynchospora (Cyperaceae) species were compared with GS data from the same taxa. In addition, a FISH probe was designed based on the most abundant satellite found in the TCS dataset of Rhynchospora cephalotes. Finally, repeat-based phylogenies of the five Rhynchospora species were constructed based on the GS and TCS datasets and the topologies were compared with a gene-alignment-based phylogenetic tree. KEY
resultsAll the major repetitive DNA families were identified in TCS, including repeats that showed abundances as low as 0.01 % in the GS data. Rank correlations between GS and TCS repeat abundances were moderately high (r = 0.58-0.85), increasing after filtering out the targeted loci from the raw TCS reads (r = 0.66-0.92). Repeat data obtained by TCS were also reliable in developing a cytogenetic probe of a new variant of the holocentromeric satellite Tyba. Repeat-based phylogenies from TCS data were congruent with those obtained from GS data and the gene-alignment tree.
conclusionsOur results show that off-target TCS reads can be recycled to identify repeats for cyto- and phylogenomic investigations. Given the growing availability of TCS reads, driven by global phylogenomic projects, our strategy represents a way to recycle genomic data and contribute to a better characterization of plant biodiversity.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.