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DNA Extraction and Host Depletion Methods Significantly Impact and Potentially Bias Bacterial Detection in a Biological Fluid. mSystems 2021; 6:e0061921. [PMID: 34128697 PMCID: PMC8574158 DOI: 10.1128/msystems.00619-21] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Untargeted sequencing of nucleic acids present in food can inform the detection of food safety and origin, as well as product tampering and mislabeling issues. The application of such technologies to food analysis may reveal valuable insights that are simply unobtainable by targeted testing, leading to the efforts of applying such technologies in the food industry. However, before these approaches can be applied, it is imperative to verify that the most appropriate methods are used at every step of the process: gathering of primary material, laboratory methods, data analysis, and interpretation. The focus of this study is on gathering the primary material, in this case, DNA. We used bovine milk as a model to (i) evaluate commercially available kits for their ability to extract nucleic acids from inoculated bovine milk, (ii) evaluate host DNA depletion methods for use with milk, and (iii) develop and evaluate a selective lysis-propidium monoazide (PMA)-based protocol for host DNA depletion in milk. Our results suggest that magnetically based nucleic acid extraction methods are best for nucleic acid isolation of bovine milk. Removal of host DNA remains a challenge for untargeted sequencing of milk, highlighting the finding that the individual matrix characteristics should always be considered in food testing. Some reported methods introduce bias against specific types of microbes, which may be particularly problematic in food safety, where the detection of Gram-negative pathogens and hygiene indicators is essential. Continuous efforts are needed to develop and validate new approaches for untargeted metagenomics in samples with large amounts of DNA from a single host. IMPORTANCE Tracking the bacterial communities present in our food has the potential to inform food safety and product origin. To do so, the entire genetic material present in a sample is extracted using chemical methods or commercially available kits and sequenced using next-generation platforms to provide a snapshot of the microbial composition. Because the genetic material of higher organisms present in food (e.g., cow in milk or beef, wheat in flour) is around 1,000 times larger than the bacterial content, challenges exist in gathering the information of interest. Additionally, specific bacterial characteristics can make them easier or harder to detect, adding another layer of complexity to this issue. In this study, we demonstrate the impact of using different methods for the ability to detect specific bacteria and highlight the need to ensure that the most appropriate methods are being used for each particular sample.
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Yuan Y, Chung CYL, Chan TF. Advances in optical mapping for genomic research. Comput Struct Biotechnol J 2020; 18:2051-2062. [PMID: 32802277 PMCID: PMC7419273 DOI: 10.1016/j.csbj.2020.07.018] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 07/08/2020] [Accepted: 07/24/2020] [Indexed: 12/28/2022] Open
Abstract
Recent advances in optical mapping have allowed the construction of improved genome assemblies with greater contiguity. Optical mapping also enables genome comparison and identification of large-scale structural variations. Association of these large-scale genomic features with biological functions is an important goal in plant and animal breeding and in medical research. Optical mapping has also been used in microbiology and still plays an important role in strain typing and epidemiological studies. Here, we review the development of optical mapping in recent decades to illustrate its importance in genomic research. We detail its applications and algorithms to show its specific advantages. Finally, we discuss the challenges required to facilitate the optimization of optical mapping and improve its future development and application.
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Key Words
- 3D, three-dimensional
- DBG, de Bruijn graph
- DLS, direct label and strain
- DNA, deoxyribonucleic acid
- Genome assembly
- Hi-C, high-throughput chromosome conformation capture
- Mb, million base pair
- Next generation sequencing
- OLC, overlap-layout-consensus
- Optical mapping
- PCR, polymerase chain reaction
- PacBio, Pacific Biosciences
- SRS, short-read sequencing
- SV, structural variation
- Structural variation
- bp, base pair
- kb, kilobase pair
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Affiliation(s)
- Yuxuan Yuan
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- State Key Laboratory for Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong SAR, China
- AoE Centre for Genomic Studies on Plant-Environment Interaction for Sustainable Agriculture and Food Security, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Claire Yik-Lok Chung
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- State Key Laboratory for Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ting-Fung Chan
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- State Key Laboratory for Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong SAR, China
- AoE Centre for Genomic Studies on Plant-Environment Interaction for Sustainable Agriculture and Food Security, The Chinese University of Hong Kong, Hong Kong SAR, China
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3
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Rice ES, Koren S, Rhie A, Heaton MP, Kalbfleisch TS, Hardy T, Hackett PH, Bickhart DM, Rosen BD, Ley BV, Maurer NW, Green RE, Phillippy AM, Petersen JL, Smith TPL. Continuous chromosome-scale haplotypes assembled from a single interspecies F1 hybrid of yak and cattle. Gigascience 2020; 9:giaa029. [PMID: 32242610 PMCID: PMC7118895 DOI: 10.1093/gigascience/giaa029] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 01/08/2020] [Accepted: 03/10/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The development of trio binning as an approach for assembling diploid genomes has enabled the creation of fully haplotype-resolved reference genomes. Unlike other methods of assembly for diploid genomes, this approach is enhanced, rather than hindered, by the heterozygosity of the individual sequenced. To maximize heterozygosity and simultaneously assemble reference genomes for 2 species, we applied trio binning to an interspecies F1 hybrid of yak (Bos grunniens) and cattle (Bos taurus), 2 species that diverged nearly 5 million years ago. The genomes of both of these species are composed of acrocentric autosomes. RESULTS We produced the most continuous haplotype-resolved assemblies for a diploid animal yet reported. Both the maternal (yak) and paternal (cattle) assemblies have the largest 2 chromosomes in single haplotigs, and more than one-third of the autosomes similarly lack gaps. The maximum length haplotig produced was 153 Mb without any scaffolding or gap-filling steps and represents the longest haplotig reported for any species. The assemblies are also more complete and accurate than those reported for most other vertebrates, with 97% of mammalian universal single-copy orthologs present. CONCLUSIONS The high heterozygosity inherent to interspecies crosses maximizes the effectiveness of the trio binning method. The interspecies trio binning approach we describe is likely to provide the highest-quality assemblies for any pair of species that can interbreed to produce hybrid offspring that develop to sufficient cell numbers for DNA extraction.
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Affiliation(s)
- Edward S Rice
- Department of Animal Science, University of Nebraska–Lincoln, C203 ANSC, Lincoln, NE 68583, USA
- Bond Life Sciences Center, University of Missouri, 1201 Rollins Street, Columbia, MO 65201, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Michael P Heaton
- US Meat Animal Research Center, US Department of Agriculture, State Spur 18D, Clay Center, NE 68933, USA
| | - Theodore S Kalbfleisch
- Gluck Equine Research Center, University of Kentucky, 1400 Nicholasville Rd., Lexington, KY 40546, USA
| | | | | | - Derek M Bickhart
- Dairy Forage Research Center, 1925 Linden Drive, ARS USDA, Madison, WI 53706, USA
| | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, 10300 Baltimore Ave., ARS USDA, Beltsville, MD 20705, USA
| | - Brian Vander Ley
- Great Plains Veterinary Educational Center, School of Veterinary Medicine and Biomedical Sciences, University of Nebraska–Lincoln, 820 Road 313, Clay Center, NE 68933, USA
| | - Nicholas W Maurer
- Department of Biomolecular Engineering, University of California, 1156 High St., Santa Cruz, CA 95064, USA
| | - Richard E Green
- Department of Biomolecular Engineering, University of California, 1156 High St., Santa Cruz, CA 95064, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Jessica L Petersen
- Department of Animal Science, University of Nebraska–Lincoln, C203 ANSC, Lincoln, NE 68583, USA
| | - Timothy P L Smith
- US Meat Animal Research Center, US Department of Agriculture, State Spur 18D, Clay Center, NE 68933, USA
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Yan XM, Zhang Z, Meng Y, Li HB, Gao L, Luo D, Jiang H, Gao Y, Yuan B, Zhang JB. Genome-wide identification and analysis of circular RNAs differentially expressed in the longissimus dorsi between Kazakh cattle and Xinjiang brown cattle. PeerJ 2020; 8:e8646. [PMID: 32211228 PMCID: PMC7081781 DOI: 10.7717/peerj.8646] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 01/27/2020] [Indexed: 12/18/2022] Open
Abstract
Xinjiang brown cattle have better meat quality than Kazakh cattle. Circular RNAs (circRNAs) are a type of RNA that can participate in the regulation of gene transcription. Whether circRNAs are differentially expressed in the longissimus dorsi between these two types of cattle and whether differentially expressed circRNAs regulate muscle formation and differentiation are still unknown. In this study, we established two RNA-seq libraries, each of which consisted of three samples. A total of 5,177 circRNAs were identified in longissimus dorsi samples from Kazakh cattle and Xinjiang brown cattle using the Illumina platform, 46 of which were differentially expressed. Fifty-five Gene Ontology terms were significantly enriched, and 12 Kyoto Encyclopedia of Genes and Genomes pathways were identified for the differentially expressed genes. Muscle biological processes were associated with the origin genes of the differentially expressed circRNAs. In addition, we randomly selected six overexpressed circRNAs and compared their levels in longissimus dorsi tissue from Kazakh cattle and Xinjiang brown cattle using RT-qPCR. Furthermore, we predicted 66 interactions among 65 circRNAs and 14 miRNAs using miRanda and established a coexpression network. A few microRNAs known for their involvement in myoblast regulation, such as miR-133b and miR-664a, were identified in this network. Notably, bta_circ_03789_1 and bta_circ_05453_1 are potential miRNA sponges that may regulate insulin-like growth factor 1 receptor expression. These findings provide an important reference for prospective investigations of the role of circRNA in longissimus muscle growth and development. This study provides a theoretical basis for targeting circRNAs to improve beef quality and taste.
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Affiliation(s)
- Xiang-Min Yan
- Department of Laboratory Animals, Jilin University, Changchun, Jilin, China.,Institute of Animal Husbandry, Xinjiang Academy of Animal Husbandry, Ürümqi, Xinjiang, China
| | - Zhe Zhang
- Department of Laboratory Animals, Jilin University, Changchun, Jilin, China
| | - Yu Meng
- Department of Laboratory Animals, Jilin University, Changchun, Jilin, China
| | - Hong-Bo Li
- Institute of Animal Husbandry, Xinjiang Academy of Animal Husbandry, Ürümqi, Xinjiang, China
| | - Liang Gao
- Yili Vocational and Technical College, Yili, Xinjiang, China
| | - Dan Luo
- Department of Laboratory Animals, Jilin University, Changchun, Jilin, China
| | - Hao Jiang
- Department of Laboratory Animals, Jilin University, Changchun, Jilin, China
| | - Yan Gao
- Department of Laboratory Animals, Jilin University, Changchun, Jilin, China
| | - Bao Yuan
- Department of Laboratory Animals, Jilin University, Changchun, Jilin, China
| | - Jia-Bao Zhang
- Department of Laboratory Animals, Jilin University, Changchun, Jilin, China
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5
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Rosen BD, Bickhart DM, Schnabel RD, Koren S, Elsik CG, Tseng E, Rowan TN, Low WY, Zimin A, Couldrey C, Hall R, Li W, Rhie A, Ghurye J, McKay SD, Thibaud-Nissen F, Hoffman J, Murdoch BM, Snelling WM, McDaneld TG, Hammond JA, Schwartz JC, Nandolo W, Hagen DE, Dreischer C, Schultheiss SJ, Schroeder SG, Phillippy AM, Cole JB, Van Tassell CP, Liu G, Smith TPL, Medrano JF. De novo assembly of the cattle reference genome with single-molecule sequencing. Gigascience 2020; 9:5810242. [PMID: 32191811 PMCID: PMC7081964 DOI: 10.1093/gigascience/giaa021] [Citation(s) in RCA: 321] [Impact Index Per Article: 80.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 01/31/2020] [Accepted: 02/14/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Major advances in selection progress for cattle have been made following the introduction of genomic tools over the past 10-12 years. These tools depend upon the Bos taurus reference genome (UMD3.1.1), which was created using now-outdated technologies and is hindered by a variety of deficiencies and inaccuracies. RESULTS We present the new reference genome for cattle, ARS-UCD1.2, based on the same animal as the original to facilitate transfer and interpretation of results obtained from the earlier version, but applying a combination of modern technologies in a de novo assembly to increase continuity, accuracy, and completeness. The assembly includes 2.7 Gb and is >250× more continuous than the original assembly, with contig N50 >25 Mb and L50 of 32. We also greatly expanded supporting RNA-based data for annotation that identifies 30,396 total genes (21,039 protein coding). The new reference assembly is accessible in annotated form for public use. CONCLUSIONS We demonstrate that improved continuity of assembled sequence warrants the adoption of ARS-UCD1.2 as the new cattle reference genome and that increased assembly accuracy will benefit future research on this species.
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Affiliation(s)
- Benjamin D Rosen
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA
| | - Derek M Bickhart
- Dairy Forage Research Center, USDA-ARS, 1925 Linden Drive, Madison, WI, 53706, USA
| | - Robert D Schnabel
- Division of Animal Sciences, University of Missouri, 162 Animal Science Research Center, Columbia, MO 65211, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Christine G Elsik
- Division of Animal Sciences, University of Missouri, 162 Animal Science Research Center, Columbia, MO 65211, USA
| | - Elizabeth Tseng
- Pacific Biosciences, 1305 O'Brien Drive, Menlo Park, CA 94025, USA
| | - Troy N Rowan
- Division of Animal Sciences, University of Missouri, 162 Animal Science Research Center, Columbia, MO 65211, USA
| | - Wai Y Low
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA 5371, Australia
| | - Aleksey Zimin
- Johns Hopkins University, Welch Library of Medicine, Ste 105, 1900 E. Monument St., Baltimore, MD 21205, USA
| | - Christine Couldrey
- Livestock Improvement Corporation, Private Bag 3016, Hamilton 3240, New Zealand
| | - Richard Hall
- Pacific Biosciences, 1305 O'Brien Drive, Menlo Park, CA 94025, USA
| | - Wenli Li
- Dairy Forage Research Center, USDA-ARS, 1925 Linden Drive, Madison, WI, 53706, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Jay Ghurye
- Department of Computer Science, University of Maryland, 8125 Paint Branch Drive, College Park, MD 20742 USA
| | - Stephanie D McKay
- Department of Animal and Veterinary Sciences, University of Vermont, Burlington, VT 05405, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Jinna Hoffman
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Brenda M Murdoch
- Department of Animal and Veterinary Science, University of Idaho, 875 Perimeter Drive MS 2330, Moscow, ID 83844-2330, USA
| | - Warren M Snelling
- U.S. Meat Animal Research Center, USDA-ARS, 844 Road 313, Clay Center, NE 68933, USA
| | - Tara G McDaneld
- U.S. Meat Animal Research Center, USDA-ARS, 844 Road 313, Clay Center, NE 68933, USA
| | | | | | - Wilson Nandolo
- Division of Livestock Sciences, University of Natural Resources and Life Sciences, Gregor Mendel str. 33, A-1180, Vienna, Austria.,Animal Science Department, Lilongwe University of Agriculture and Natural Resources, P.O. Box 219, Lilongwe, Malawi
| | - Darren E Hagen
- Department of Animal and Food Sciences, Oklahoma State University, 101 Animal Science Building, Stillwater, OK 74078, USA
| | | | | | - Steven G Schroeder
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - John B Cole
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA
| | - Curtis P Van Tassell
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA
| | - George Liu
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA
| | - Timothy P L Smith
- U.S. Meat Animal Research Center, USDA-ARS, 844 Road 313, Clay Center, NE 68933, USA
| | - Juan F Medrano
- Department of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
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Silveira MM, Salgado Bayão HX, Dos Santos Mendonça A, Borges NA, Vargas LN, Caetano AR, Rumpf R, Franco MM. DNA methylation profile at a satellite region is associated with aberrant placentation in cloned calves. Placenta 2018; 70:25-33. [PMID: 30316323 DOI: 10.1016/j.placenta.2018.08.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 08/18/2018] [Accepted: 08/28/2018] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Cloning via somatic cell nuclear transfer (SCNT) has been associated with a variety of pathologies, primarily in the placenta, and these alterations may be associated with aberrant epigenetic reprogramming of the donor cell genome. We tested the hypothesis that DNA methylation patterns are not appropriately established after nuclear transfer and that those altered patterns are associated with specific aberrant phenotypes. METHODS We compared global and specific placental DNA methylation patterns between aberrant and healthy SCNT-produced calves. Foetal cotyledon samples of ten SCNT pregnancies were collected. Global DNA methylation and hydroxymethylation levels were measured using an ELISA-based assay and specific DNA methylation of satellite I, and α-satellite repeat elements were measured using bisulfite PCR. RESULTS Our analysis revealed that the SCNT-produced calves, which showed aberrant phenotypes, exhibited a reduced methylation pattern of the satellite I region compared to that of healthy calves. In contrast, global methylation and hydroxymethylation analyses showed higher levels for both cytosine modifications in SCNT-produced female calves with aberrant phenotypes. The satellite I region showed most of the sequences to be hypermethylated in live cloned calves compared with those in deceased calves. DISCUSSION Our results suggest that this satellite I region could be used as an epigenetic biomarker for predicting offspring viability. Studies evaluating DNA methylation patterns of this satellite region in the donor cell genome or embryo biopsies could shed light on how to improve the efficiency of SCNT cloning.
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Affiliation(s)
- Márcia Marques Silveira
- Laboratory of Animal Reproduction, Embrapa Genetic Resources and Biotechnology, Brasília, Distrito Federal, Brazil; Institute of Genetics and Biochemistry, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
| | | | - Anelise Dos Santos Mendonça
- Laboratory of Animal Reproduction, Embrapa Genetic Resources and Biotechnology, Brasília, Distrito Federal, Brazil; Institute of Genetics and Biochemistry, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
| | - Naiara Araújo Borges
- Laboratory of Animal Reproduction, Embrapa Genetic Resources and Biotechnology, Brasília, Distrito Federal, Brazil; Institute of Genetics and Biochemistry, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
| | - Luna Nascimento Vargas
- Laboratory of Animal Reproduction, Embrapa Genetic Resources and Biotechnology, Brasília, Distrito Federal, Brazil; Institute of Genetics and Biochemistry, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
| | | | - Rodolfo Rumpf
- GENEAL Genetics and Animal Biotechnology, Uberaba, Minas Gerais, Brazil.
| | - Maurício Machaim Franco
- Laboratory of Animal Reproduction, Embrapa Genetic Resources and Biotechnology, Brasília, Distrito Federal, Brazil; Institute of Genetics and Biochemistry, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
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7
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Speidel SE, Buckley BA, Boldt RJ, Enns RM, Lee J, Spangler ML, Thomas MG. Genome-wide association study of Stayability and Heifer Pregnancy in Red Angus cattle. J Anim Sci 2018; 96:846-853. [PMID: 29471369 PMCID: PMC6093520 DOI: 10.1093/jas/sky041] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 02/15/2018] [Indexed: 11/12/2022] Open
Abstract
Reproductive performance is the most important component of cattle production from the standpoint of economic sustainability of commercial beef enterprises. Heifer Pregnancy (HPG) and Stayability (STAY) genetic predictions are 2 selection tools published by the Red Angus Association of America (RAAA) to assist with improvements in reproductive performance. Given the importance of HPG and STAY to the profitability of commercial beef enterprises, the objective of this study was to identify QTL associated with both HPG and STAY in Red Angus cattle. A genome-wide association study (GWAS) was performed using deregressed HPG and STAY EBV, calculated using a single-trait animal model and a 3-generation pedigree with data from the Spring 2015 RAAA National Cattle Evaluation. Each individual animal possessed 74,659 SNP genotypes. Individual animals with a deregressed EBV reliability > 0.05 were merged with the genotype file and marker quality control was performed. Criteria for sifting genotypes consisted of removing those markers where any of the following were found: average call rate less than 0.85, minor allele frequency < 0.01, lack of Hardy-Weinberg equilibrium (P < 0.0001), or extreme linkage disequilibrium (r2 > 0.99). These criteria resulted in 2,664 animals with 62,807 SNP available for GWAS. Association studies were performed using a Bayes Cπ model in the BOLT software package. Marker significance was calculated as the posterior probability of inclusion (PPI), or the number of instances a specific marker was sampled divided by the total number of samples retained from the Markov chain Monte Carlo chains. Nine markers, with a PPI ≥ 3% were identified as QTL associated with HPG on BTA 1, 11, 13, 23, and 29. Twelve markers, with a PPI ≥ 75% were identified as QTL associated with STAY on BTA 6, 8, 9, 12, 15, 18, 22, and 23.
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Affiliation(s)
- S E Speidel
- Department of Animal Sciences, Colorado State University, Fort Collins, CO
| | - B A Buckley
- Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, HI
| | - R J Boldt
- Department of Animal Sciences, Colorado State University, Fort Collins, CO
| | - R M Enns
- Department of Animal Sciences, Colorado State University, Fort Collins, CO
| | - J Lee
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE
| | - M L Spangler
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE
| | - M G Thomas
- Department of Animal Sciences, Colorado State University, Fort Collins, CO
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Maschmann A, Masters C, Davison M, Lallman J, Thompson D, Kounovsky-Shafer KL. Determining if DNA Stained with a Cyanine Dye Can Be Digested with Restriction Enzymes. J Vis Exp 2018. [PMID: 29443093 DOI: 10.3791/57141] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Visualization of DNA for fluorescence microscopy utilizes a variety of dyes such as cyanine dyes. These dyes are utilized due to their high affinity and sensitivity for DNA. In order to determine if the DNA molecules are full length after the completion of the experiment, a method is required to determine if the stained molecules are full length by digesting DNA with restriction enzymes. However, stained DNA may inhibit the enzymes, so a method is needed to determine what enzymes one could use for fluorochrome stained DNA. In this method, DNA is stained with a cyanine dye overnight to allow the dye and DNA to equilibrate. Next, stained DNA is digested with a restriction enzyme, loaded into a gel and electrophoresed. The experimental DNA digest bands are compared to an in silico digest to determine the restriction enzyme activity. If there is the same number of bands as expected, then the reaction is complete. More bands than expected indicate partial digestion and less bands indicate incomplete digestion. The advantage of this method is its simplicity and it uses equipment that a scientist would need for a restriction enzyme assay and gel electrophoresis. A limitation of this method is that the enzymes available to most scientists are commercially available enzymes; however, any restriction enzymes could be used.
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Affiliation(s)
| | - Cody Masters
- Department of Chemistry, University of Nebraska - Kearney
| | | | - Joshua Lallman
- Department of Chemistry, University of Nebraska - Kearney
| | - Drew Thompson
- Department of Chemistry, University of Nebraska - Kearney
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Lee S, Wang C, Song J, Kim DG, Oh Y, Ko W, Lee J, Park J, Lee HS, Jo K. Investigation of various fluorescent protein–DNA binding peptides for effectively visualizing large DNA molecules. RSC Adv 2016. [DOI: 10.1039/c6ra08683g] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Single-molecule DNA visualization with fluorescent protein DNA binding peptides.
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Affiliation(s)
- Seonghyun Lee
- Department of Chemistry and Program of Integrated Biotech
- Sogang University
- Seoul
- Korea
| | - Cong Wang
- Department of Mechanical Engineering
- Sogang University
- Seoul
- Korea
| | - Junghyun Song
- Department of Chemistry and Program of Integrated Biotech
- Sogang University
- Seoul
- Korea
| | - Do-geun Kim
- Department of Chemistry and Program of Integrated Biotech
- Sogang University
- Seoul
- Korea
| | - Yeeun Oh
- Department of Chemistry and Program of Integrated Biotech
- Sogang University
- Seoul
- Korea
| | - Wooseok Ko
- Department of Chemistry and Program of Integrated Biotech
- Sogang University
- Seoul
- Korea
| | - Jinyong Lee
- Department of Chemistry and Program of Integrated Biotech
- Sogang University
- Seoul
- Korea
| | - Jungyul Park
- Department of Mechanical Engineering
- Sogang University
- Seoul
- Korea
| | - Hyun Soo Lee
- Department of Chemistry and Program of Integrated Biotech
- Sogang University
- Seoul
- Korea
| | - Kyubong Jo
- Department of Chemistry and Program of Integrated Biotech
- Sogang University
- Seoul
- Korea
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10
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Elsik CG, Unni DR, Diesh CM, Tayal A, Emery ML, Nguyen HN, Hagen DE. Bovine Genome Database: new tools for gleaning function from the Bos taurus genome. Nucleic Acids Res 2015; 44:D834-9. [PMID: 26481361 PMCID: PMC4702796 DOI: 10.1093/nar/gkv1077] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2015] [Accepted: 10/06/2015] [Indexed: 02/03/2023] Open
Abstract
We report an update of the Bovine Genome Database (BGD) (http://BovineGenome.org). The goal of BGD is to support bovine genomics research by providing genome annotation and data mining tools. We have developed new genome and annotation browsers using JBrowse and WebApollo for two Bos taurus genome assemblies, the reference genome assembly (UMD3.1.1) and the alternate genome assembly (Btau_4.6.1). Annotation tools have been customized to highlight priority genes for annotation, and to aid annotators in selecting gene evidence tracks from 91 tissue specific RNAseq datasets. We have also developed BovineMine, based on the InterMine data warehousing system, to integrate the bovine genome, annotation, QTL, SNP and expression data with external sources of orthology, gene ontology, gene interaction and pathway information. BovineMine provides powerful query building tools, as well as customized query templates, and allows users to analyze and download genome-wide datasets. With BovineMine, bovine researchers can use orthology to leverage the curated gene pathways of model organisms, such as human, mouse and rat. BovineMine will be especially useful for gene ontology and pathway analyses in conjunction with GWAS and QTL studies.
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Affiliation(s)
- Christine G Elsik
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA MU Informatics Institute, University of Missouri, Columbia, MO 65211, USA
| | - Deepak R Unni
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Colin M Diesh
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Aditi Tayal
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Marianne L Emery
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Hung N Nguyen
- MU Informatics Institute, University of Missouri, Columbia, MO 65211, USA
| | - Darren E Hagen
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
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