allele_counts_all_samples

This contains allele counts for known ploidy and presumed diploid samples genotyped by GT-seq

Estimating microhaplotype allele frequencies from low-coverage or pooled sequencing data

Abstract Background Microhaplotypes have the potential to be more cost-effective than SNPs for applications that require genetic panels of highly variable loci. However, development of microhaplotype panels is hindered by a lack of methods for estimating microhaplotype allele frequency from low-coverage whole genome sequencing or pooled sequencing (pool-seq) data. Results We developed new methods for estimating microhaplotype allele frequency from low-coverage whole genome sequence and pool-seq data. We validated these methods using datasets from three non-model organisms. These methods allowed estimation of allele frequency and expected heterozygosity at depths routinely achieved from pooled sequencing. Conclusions These new methods will allow microhaplotype panels to be designed using low-coverage WGS and pool-seq data to discover and evaluate candidate loci. The python script implementing the two methods and documentation are available at https://www.github.com/delomast/mhFromLowDepSeq

Data from Zebrafish embryonic development is induced by carp sperm

Data collected during the experiments describe

Supplementary Methods, Tables, and Figures for Zebrafish embryonic development is induced by carp sperm

Broodstock Care Methods, Tables S1, S2 and Figures S1, S

Genotyping single nucleotide polymorphisms and inferring ploidy by amplicon sequencing for polyploid, ploidy-variable organisms.

Whole genome duplication is hypothesized to have played a critical role in the evolution of several major taxa, including vertebrates, and while many lineages have rediploidized, some retain polyploid genomes. Additionally, variation in ploidy can occur naturally or be artificially induced within select plant and animal species. Modern genetic techniques have not been widely applied to polyploid or ploidy-variable species, in part due to the difficulty of obtaining genotype data from polyploids. In this study, we demonstrate a strategy for developing an amplicon sequencing panel of single nucleotide polymorphisms for high-throughput genotyping of polyploid organisms. We then develop a method to infer ploidy of individuals from amplicon sequencing data that is generalized to apply to any ploidy and does not require prior identification of heterozygous genotypes. Combining these two techniques will allow researchers to both infer ploidy and generate ploidy-aware genotypes with the same amplicon sequencing panel. We demonstrate this approach with white sturgeon Acipenser transmontanus, a ploidy-variable (octoploid, decaploid and dodecaploid) imperiled species under conservation management in the Pacific Northwest and obtained a panel of 325 loci. These loci were validated by examining inheritance in known-cross families, and the ploidy inference method was validated with known ploidy samples. We provide scripts that adapt existing pipelines to genotype polyploids and an R package for application of the ploidy inference method. We expect that these techniques will empower studies of genetic variation and inheritance in polyploid organisms that vary in ploidy level, either naturally or as a result of artificial propagation practices

Efficient population representation with more genetic markers increases performance of a steelhead (Oncorhynchus mykiss) genetic stock identification baseline

Abstract Genetic stock identification (GSI) is an important fisheries management tool to identify the origin of fish harvested in mixed stock fisheries. Periodic updates of genetic baselines can improve performance via the addition of unsampled or under‐sampled populations and the inclusion of more informative markers. We used a combination of baselines to evaluate how population representation, marker number, and marker type affected the performance and accuracy of genetic stock assignments (self‐assignment, bias, and holdout group tests) for steelhead (Oncorhynchus mykiss) in the Snake River basin. First, we compared the performance of an existing genetic baseline with a newly developed one which had a reduced number of individuals from more populations using the same set of markers. Self‐assignment rates were significantly higher (p < 0.001; +5.4%) for the older, larger baseline, bias did not differ significantly between the two, but there was a significant improvement in performance for the new baseline in holdout results (p < 0.001; mean increase of 25.0%). Second, we compared the performance of the new baseline with increased numbers of genetic markers (~2x increase of single‐nucleotide polymorphisms; SNPs) for the same set of baseline individuals. In this comparison, results produced significantly higher rates of self‐assignment (p < 0.001; +9.7%) but neither bias nor leave‐one‐out were significantly affected. Third, we compared 334 SNPs versus opportunistically discovered microhaplotypes from the same amplicons for the new baseline, and showed the latter produced significantly higher rates of self‐assignment (p < 0.01; +2.6%), similar bias, but slightly lower holdout performance (−0.1%). Combined, we show the performance of genetic baselines can be improved via representative and efficient sampling, that increased marker number consistently improved performance over the original baseline, and that opportunistic discovery of microhaplotypes can lead to small improvements in GSI performance

Parentage-based tagging improves escapement estimates for ESA-listed adult Chinook Salmon and Steelhead in the Snake River basin

Parentage-based tagging (PBT) is a non-lethal, genetic tagging method that has been successfully applied in hatchery supplemented populations to manage hatchery broodstock and monitor hatchery harvest and straying rates. We show that PBT can also improve the accuracy of escapement estimates by significantly reducing the number of hatchery-origin fish falsely classified as natural-origin. Unlike conventional abundance estimates, which use physical marks and tags to distinguish hatchery individuals from their wild counterparts, PBT identifies origin independent of physical form. We applied PBT to populations of Chinook Salmon (Oncorhynchus tshawytscha) and Steelhead (O. mykiss) which are classified as threatened under the Endangered Species Act and subject to extensive hatchery supplementation efforts. For spawn years 2014-2018, 16,511 adipose-intact Chinook Salmon and 21,953 adipose-intact Steelhead were sampled, and PBT identified 19.6% of returning Chinook Salmon and 8.3% of Steelhead were of hatchery-origin, despite having no physical or mechanical marks. The 90% confidence intervals for escapement estimates of natural-origin Chinook Salmon and Steelhead made with and without corrections using PBT were non-overlapping for nine of ten comparisons indicating that failing to account for unmarked, untagged hatchery-origin fish would result in a significant overestimation of natural abundance.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

Sex‐specific markers undetected in green sunfish Lepomis cyanellus using restriction‐site associated DNA sequencing

We used restriction-site associated DNA sequencing for SNP discovery and genotyping of known-sex green sunfish Lepomis cyanellus DNA samples to search for sex-diagnostic single nucleotide polymorphisms (SNPs) and restriction-site associated sequences present in one sex and absent in the other. The bioinformatic analyses discovered candidate SNPs and sex-specific restriction-site associated sequences that fit patterns of male or female heterogametic sex determination systems. However, when primers were developed and tested, no candidates reliably identified phenotypic sex. The top performing SNP candidate (ZW_218) correlated with phenotypic sex 63.0% of the time and the presence-absence loci universally amplified in both sexes. We recommend further investigations that interrogate a larger fraction of the L. cyanellus genome. Additionally, studies on the effect of temperature and rearing density on sex determination, as well as breeding of sex-reversed individuals, could provide more insights into the sex determination system of L. cyanellus.12 month embargo; first published: 19 April 2022This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]