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Kartzinel, T. R.

Publications and source records attributed to Kartzinel, T. R..

2 recordsLinked to original sources

A CRISPR-based strategy for targeted sequencing in biodiversity science

Many applications in molecular ecology require the ability to match specific DNA sequences from single- or mixed-species samples to a diagnostic reference library. Widely used methods for DNA barcoding and metabarcoding require PCR and amplicon sequencing to identify taxa based on target sequences, but the target-specific enrichment capabilities of CRISPR-Cas systems may offer advantages in some applications. We identified 54,837 CRISPR-Cas guide RNAs that may be useful for enriching chloroplast DNA across phylogenetically diverse plant species. We then tested a subset of 17 guide RNAs in vitro to enrich and sequence plant DNA strands ranging in size from diagnostic DNA barcodes of 1,428 bp to entire chloroplast genomes of 121,284 bp. We used an Oxford Nanopore sequencer to evaluate sequencing success based on both single- and mixed-species samples, which yielded mean on-target chloroplast sequence lengths of 5,755-11,367 bp, depending on the experiment. Single-species experiments yielded more on-target sequence reads and greater accuracy, but mixed-species experiments yielded superior coverage. Comparing CRISPR-based strategies to a widely used protocol for plant DNA metabarcoding with the chloroplast trnL-P6 marker, we obtained a 66-fold increase in sequence length and markedly better estimates of relative abundance for a commercially prepared mixture of plant species. Future work would benefit from developing both in vitro and in silico methods for analyses of mixed-species samples, especially when the appropriate reference genomes for contig assembly cannot be known a priori. Prior work developed CRISPR-based enrichment protocols for long-read sequencing and our experiments pioneered its use for plant DNA barcoding and chromosome assemblies that may have advantages over workflows that require PCR and short-read sequencing.

molecular biology↗

Counting with DNA in metabarcoding studies: how should we convert sequence reads to dietary data?

Advances in DNA sequencing technology have revolutionised the field of molecular analysis of trophic interactions and it is now possible to recover counts of food DNA barcode sequences from a wide range of dietary samples. But what do these counts mean? To obtain an accurate estimate of a consumers diet should we work strictly with datasets summarising the frequency of occurrence of different food taxa, or is it possible to use the relative number of sequences? Both approaches are applied in the dietary metabarcoding literature, but occurrence data is often promoted as a more conservative and reliable option due to taxa-specific biases in recovery of sequences. Here, we point out that diet summaries based on occurrence data overestimate the importance of food consumed in small quantities (potentially including low-level contaminants) and are sensitive to the count threshold used to define an occurrence. Our simulations indicate that even with recovery biases incorporated, using relative read abundance (RRA) information can provide a more accurate view of population-level diet in many scenarios. The ideas presented here highlight the need to consider all sources of bias and to justify the methods used to interpret count data in dietary metabarcoding studies. We encourage researchers to continue to addressing methodological challenges, and acknowledge unanswered questions to help spur future investigations in this rapidly developing area of research.

ecology↗