scholarly journals Urine as a high-quality source of host genomic DNA from wild populations

2020 ◽  
Author(s):  
Andrew T. Ozga ◽  
Timothy H. Webster ◽  
Ian C. Gilby ◽  
Melissa A. Wilson ◽  
Rebecca S. Nockerts ◽  
...  
Keyword(s):  
Genetic Material ◽  
Population History ◽  
Whole Genome ◽  
Dental Calculus ◽  
Wild Populations ◽  
Multiple Sources ◽  
Allelic Dropout ◽  
Natural Habitats ◽  
High Quality ◽  
Animal Populations

AbstractThe ability to generate genomic data from wild animal populations has the potential to give unprecedented insight into the population history and dynamics of species in their natural habitats. However, in the case of many species, it is impossible legally, ethically, or logistically to obtain tissues samples of high-quality necessary for genomic analyses. In this study we evaluate the success of multiple sources of genetic material (feces, urine, dentin, and dental calculus) and several capture methods (shotgun, whole-genome, exome) in generating genome-scale data in wild eastern chimpanzees (Pan troglodytes schweinfurthii) from Gombe National Park, Tanzania. We found that urine harbors significantly more host DNA than other sources, leading to broader and deeper coverage across the genome. Urine also exhibited a lower rate of allelic dropout. We found exome sequencing to be far more successful than both shotgun sequencing and whole-genome capture at generating usable data from low-quality samples such as feces and dental calculus. These results highlight urine as a promising and untapped source of DNA that can be noninvasively collected from wild populations of many species.

scholarly journals Limited Dispersal, Deleterious Mutations and the Evolution of Sex

Genetics ◽  
1996 ◽  
Vol 142 (3) ◽  
pp. 1053-1060
Author(s):  
Joel R Peck
Keyword(s):  
Mathematical Model ◽  
Sexual Reproduction ◽  
Genetic Locus ◽  
Genetic Material ◽  
Plant Population ◽  
Deleterious Mutations ◽  
Animal Populations ◽  
Offspring Sex ◽  
Limited Dispersal ◽  
Hermaphroditic Plant

Abstract This study presents a mathematical model that allows for some offspring to be dispersed at random, while others stay close to their mothers. A single genetic locus is assumed to control fertility, and this locus is subject to the occurrence of deleterious mutations. It is shown that, at equilibrium, the frequency of deleterious mutations in the population is inversely related to the rate of dispersal. This is because dispersal of offspring leads to enhanced competition among adults. The results also show that sexual reproduction can lead to a decrease in the equilibrium frequency of deleterious mutations. The reason for this relationship is that sex involves the dispersal of genetic material, and thus, like the dispersal of offspring, sex enhances competition among adults. The model is described using the example of a hermaphroditic plant population. However, the results should apply to animal populations as well.

scholarly journals Fast genetic mapping using insertion-deletion polymorphisms in Caenorhabditis elegans

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ho-Yon Hwang ◽  
Jiou Wang
Keyword(s):  
Caenorhabditis Elegans ◽  
Genetic Mapping ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Genetic Material ◽  
Mapping Method ◽  
Forward Genetics ◽  
Whole Genome ◽  
Nucleotide Polymorphisms ◽  
Large Populations

AbstractGenetic mapping is used in forward genetics to narrow the list of candidate mutations and genes corresponding to the mutant phenotype of interest. Even with modern advances in biology such as efficient identification of candidate mutations by whole-genome sequencing, mapping remains critical in pinpointing the responsible mutation. Here we describe a simple, fast, and affordable mapping toolkit that is particularly suitable for mapping in Caenorhabditis elegans. This mapping method uses insertion-deletion polymorphisms or indels that could be easily detected instead of single nucleotide polymorphisms in commonly used Hawaiian CB4856 mapping strain. The materials and methods were optimized so that mapping could be performed using tiny amount of genetic material without growing many large populations of mutants for DNA purification. We performed mapping of previously known and unknown mutations to show strengths and weaknesses of this method and to present examples of completed mapping. For situations where Hawaiian CB4856 is unsuitable, we provide an annotated list of indels as a basis for fast and easy mapping using other wild isolates. Finally, we provide rationale for using this mapping method over other alternatives as a part of a comprehensive strategy also involving whole-genome sequencing and other methods.

scholarly journals Population Genomics of American Mink Using Whole Genome Sequencing Data

Genes ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 258
Author(s):  
Karim Karimi ◽  
Duy Ngoc Do ◽  
Mehdi Sargolzaei ◽  
Younes Miar
Keyword(s):  
Population Genomics ◽  
Association Studies ◽  
American Mink ◽  
Population History ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Nucleotide Polymorphisms ◽  
Sequencing Data ◽  
Effective Population ◽  
Cross Validation Error

Characterizing the genetic structure and population history can facilitate the development of genomic breeding strategies for the American mink. In this study, we used the whole genome sequences of 100 mink from the Canadian Centre for Fur Animal Research (CCFAR) at the Dalhousie Faculty of Agriculture (Truro, NS, Canada) and Millbank Fur Farm (Rockwood, ON, Canada) to investigate their population structure, genetic diversity and linkage disequilibrium (LD) patterns. Analysis of molecular variance (AMOVA) indicated that the variation among color-types was significant (p < 0.001) and accounted for 18% of the total variation. The admixture analysis revealed that assuming three ancestral populations (K = 3) provided the lowest cross-validation error (0.49). The effective population size (Ne) at five generations ago was estimated to be 99 and 50 for CCFAR and Millbank Fur Farm, respectively. The LD patterns revealed that the average r2 reduced to <0.2 at genomic distances of >20 kb and >100 kb in CCFAR and Millbank Fur Farm suggesting that the density of 120,000 and 24,000 single nucleotide polymorphisms (SNP) would provide the adequate accuracy of genomic evaluation in these populations, respectively. These results indicated that accounting for admixture is critical for designing the SNP panels for genotype-phenotype association studies of American mink.

scholarly journals Whole-genome assembly of Ganoderma leucocontextum (Ganodermataceae, Fungi) discovered from the Tibetan Plateau of China

2021 ◽  
Author(s):  
Yuanchao Liu ◽  
Longhua Huang ◽  
Huiping Hu ◽  
Manjun Cai ◽  
Xiaowei Liang ◽  
...  
Keyword(s):  
Genome Assembly ◽  
Southwest China ◽  
Reference Genome ◽  
Biological Activities ◽  
Single Copy ◽  
The Tibetan Plateau ◽  
Whole Genome ◽  
High Quality ◽  
Pharmacological Activities ◽  
Genetic Studies

Abstract Ganoderma leucocontextum, a newly discovered species of Ganodermataceae in China, has diverse pharmacological activities. G. leucocontextum was widely cultivated in southwest China, but the systematic genetic study has been impeded by the lack of a reference genome. Herein, we present the first whole-genome assembly of G. leucocontextum based on the Illumina and Nanopore platform from high-quality DNA extracted from a monokaryon strain (DH-8). The generated genome was 50.05 Mb in size with a N50 scaffold size of 3.06 Mb, 78,206 coding sequences and 13,390 putative genes. Genome completeness was assessed using the Benchmarking Universal Single-Copy Orthologs (BUSCO) tool, which identified 96.55% of the 280 Fungi BUSCO genes. Furthermore, differences in functional genes of secondary metabolites (terpenoids) were analyzed between G. leucocontextum and G. lucidum. G. leucocontextum has more genes related to terpenoids synthesis compared to G. lucidum, which may be one of the reasons why they exhibit different biological activities. This is the first genome assembly and annotation for G. leucocontextum, which would enrich the toolbox for biological and genetic studies in G. leucocontextum.

scholarly journals Biological Consequences of Marine Energy Development on Marine Animals

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8460
Author(s):  
Lenaïg G. Hemery ◽  
Andrea E. Copping ◽  
Dorian M. Overhus
Keyword(s):  
Anthropogenic Activities ◽  
Energy Systems ◽  
Energy Development ◽  
Knowledge Gaps ◽  
Marine Animals ◽  
Natural Habitats ◽  
Holistic View ◽  
Energy Devices ◽  
Marine Energy ◽  
Animal Populations

Marine energy devices harness power from attributes of ocean water to form a sustainable energy source. Knowledge gaps remain about whether marine energy systems can affect the environment, adding another threat to animal populations and habitats already under pressure from climate change and anthropogenic activities. To date, potential environmental effects have been studied under the scope of stressor–receptor interactions, where moving parts of, or emissions from, a system could harm the animals, habitats, and natural processes. While crucial for understanding effects and identifying knowledge gaps, this approach misses a holistic view of what animals may experience in the presence of marine energy systems. We look at six biological consequences and forces that drive the health of an animal population and the effects expected from marine energy development: success of early life stages; changes in competitive capabilities; growth and survival based on food availability; susceptibility to predators; injury or death; and reproductive success. We use case studies to develop this approach, focusing on a variety of marine animals. An approximate level of risk is assigned for each interaction based on the biological consequences. This work highlights the need to examine the effects of marine energy development on animal populations within their natural habitats.

scholarly journals Empowering conservation practice with efficient and economical genotyping from poor quality samples

2018 ◽  
Author(s):  
Meghana Natesh ◽  
Ryan W. Taylor ◽  
Nathan Truelove ◽  
Elizabeth A. Hadly ◽  
Stephen Palumbi ◽  
...  
Keyword(s):  
Population Structure ◽  
Genetic Material ◽  
Cost Effective ◽  
Poor Quality ◽  
Wildlife Trade ◽  
List Type ◽  
High Quality ◽  
Conservation Practice ◽  
Queen Conch ◽  
Close Relatives

AbstractModerate to high density genotyping (100+ SNPs) is widely used to determine and measure individual identity, relatedness, fitness, population structure and migration in wild populations.However, these important tools are difficult to apply when high-quality genetic material is unavailable. Most genomic tools are developed for high quality DNA sources from labor medical settings. As a result, most genetic data from market or field settings is limited to easily amplified mitochondrial DNA or a few microsatellites.To enable genotyping in conservation contexts, we used next-generation sequencing of multiplex PCR products from very low-quality DNA extracted from feces, hair, and cooked samples. We demonstrated utility and wide-ranging potential application in endangered wild tigers and tracking commercial trade in Caribbean queen conch.We genotyped 100 SNPs from degraded tiger samples to identify individuals, discern close relatives, and detect population differentiation. Co-occurring carnivores do not amplify (e.g. Indian wild dog/Dhole) or are monomorphic (e.g. leopard). 62 SNPs from conch fritters and field-collected samples were used to test relatedness and detect population structure.We provide proof-of-concept for a rapid, simple, cost-effective, and scalable method (for both samples and number of loci), a framework that can be applied to other conservation scenarios previously limited by low quality DNA samples. These approaches provide a critical advance for wildlife monitoring and forensics, open the door to field-ready testing, and will strengthen the use of science in policy decisions and wildlife trade.

scholarly journals High quality genome resource of mango bacterial black spot pathogen Xanthomonas citri pv. mangiferaeindicae GXG07 isolated from Guangxi, China

Plant Disease ◽  
2021 ◽  
Author(s):  
Fengzhi Bie ◽  
Yiming Li ◽  
Zhibin Liu ◽  
Meijing Qin ◽  
Shuping Li ◽  
...  
Keyword(s):  
Black Spot ◽  
Economic Losses ◽  
High Fidelity ◽  
Whole Genome ◽  
Sequencing Technology ◽  
Xanthomonas Citri ◽  
High Quality ◽  
Genomic Resources ◽  
High Quality Genome ◽  
Growing Region

Xanthomonas citri pv. mangiferaeindicae (Xcm) is the causal agent of mango bacterial black spot which is present in many mango growing regions and leads to great economic losses to mango industry. Due to the limitation of high-quality genomic resources, little is known about the molecular pathogenesis of Xcm. Here, we used PacBio High Fidelity reads (HiFi) sequencing technology to sequence and analyze the whole genome of an Xcm strain GXG07 isolated from Guangxi, the largest mango growing region in China. PacBio HiFi reads with a mean coverage of 450× had been assembled into three contigs of 5,166,537, 79,634 and 30,169 bp, revealing that the genome of Xcm GXG07 contains one chromosome and two plasmids. This genome provides a resource to better understand the biology and pathogenicity of mango bacterial black spot.

scholarly journals Whole-Genome Sequences of Two Closely Related Bacteria, Actinomyces sp. Strain Chiba101 and Actinomyces denticolens DSM 20671T

2017 ◽  
Vol 5 (14) ◽  
Author(s):  
Yu Kanesaki ◽  
Taichiro Ishige ◽  
Yuriko Sekigawa ◽  
Tomoko Kobayashi ◽  
Yasushi Torii ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Complete Genome Sequence ◽  
Complete Genome ◽  
Draft Genome ◽  
Draft Genome Sequence ◽  
Whole Genome ◽  
Genome Sequences ◽  
High Quality ◽  
Content Type

ABSTRACT Actinomyces sp. strain Chiba101, isolated from an arthritic leg joint of a pig raised in Japan, is a bacterium closely related to Actinomyces denticolens. Here, we deciphered the complete genome sequence of Actinomyces sp. Chiba101 and the high-quality draft genome sequence of A. denticolens DSM 20671T.

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