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Liu K, Xie N. Pipeline for developing polymorphic microsatellites in species without reference genomes. 3 Biotech 2022; 12:248. [PMID: 36039078 PMCID: PMC9418399 DOI: 10.1007/s13205-022-03313-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 08/16/2022] [Indexed: 11/01/2022] Open
Abstract
Microsatellites, also known as simple sequence repeats (SSRs), are the preferred type of marker for many genetic applications. In conjunction with the ongoing development of next-generation sequencing, several bioinformatic tools have been developed for identifying SSRs from genomic or transcriptomic sequences. Although these tools are handy for generating polymorphic SSRs, their application almost always depends on an existing reference genome or self-assembly of the reference genome. With this in mind, we propose a pipeline for developing polymorphic SSRs that may be applied to species without reference genomes. Using a species without a reference genome (black Amur bream; Megalobrama terminalis Richardson, 1846) as a model, our pipeline was able to effectively discover polymorphic SSRs. Under different R parameters of a reference-free single nucleotide polymorphisms (SNPs) caller (ebwt2InDel), a total of 258, 208, 102, and 11 polymorphic SSRs were mined. To quantify the accuracy of the polymorphic SSRs detected using our pipeline, we analyzed 25 SSRs with PCR experiments. All primers were successfully amplified, and most SSRs (23 SSRs, 92%) were polymorphic. From the 36 individual black Amur bream, we acquired an average of 3.36 alleles per locus, ranging from one to 11. This demonstrates the effectiveness of our pipeline in identifying polymorphic SSRs and designing primers for SSR genotyping. Ultimately, our pipeline can effectively mine polymorphic SSRs for species without reference genomes, complementing SSR mining approaches based on reference genomes and helping to resolve biological issues that accompany these methods. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-022-03313-0.
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Affiliation(s)
- Kai Liu
- Institute of Fishery Science, Hangzhou Academy of Agricultural Sciences, Hangzhou, Zhejiang China
| | - Nan Xie
- Institute of Fishery Science, Hangzhou Academy of Agricultural Sciences, Hangzhou, Zhejiang China
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2
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Linacre A. Animal Forensic Genetics. Genes (Basel) 2021; 12:genes12040515. [PMID: 33916063 PMCID: PMC8066154 DOI: 10.3390/genes12040515] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 03/28/2021] [Accepted: 03/29/2021] [Indexed: 12/27/2022] Open
Abstract
Animal forensic genetics, where the focus is on non-human species, is broadly divided in two: domestic species and wildlife. When traces of a domestic species are relevant to a forensic investigation the question of species identification is less important, as the material comes from either a dog or a cat for instance, but more relevant may be the identification of the actual pet. Identification of a specific animal draws on similar methods to those used in human identification by using microsatellite markers. The use of cat short tandem repeats to link a cat hair to a particular cat paved the way for similar identification of dogs. Wildlife forensic science is becoming accepted as a recognised discipline. There is growing acceptance that the illegal trade in wildlife is having devasting effects on the numbers of iconic species. Loci on the mitochondrial genome are used to identify the most likely species present. Sequencing the whole locus may not be needed if specific bases can be targeted. There can be benefits of increased sensitivity using mitochondrial loci for species testing, but occasionally there is an issue if hybrids are present. The use of massively parallel DNA sequencing has a role in the identification of the ingredients of traditional medicines where studies found protected species to be present, and a potential role in future species assignments. Non-human animal forensic testing can play a key role in investigations provided that it is performed to the same standards as all other DNA profiling processes.
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Affiliation(s)
- Adrian Linacre
- College of Science & Engineering, Flinders University, Adelaide, SA 5042, Australia
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3
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Nangong Z, He X, Huang F. The complete chloroplast genome sequence of medicinal plant, Artemisia lavandulaefolia YC. Mitochondrial DNA B Resour 2020. [DOI: 10.1080/23802359.2020.1731355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
Affiliation(s)
| | - Xiangxiang He
- Zhejiang Science and Technology Museum, Hangzhou, China
| | - Fangliang Huang
- College of Life Sciences, Zhejiang University, Hangzhou, China
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Shamanskiy VA, Timonina VN, Popadin KY, Gunbin KV. ImtRDB: a database and software for mitochondrial imperfect interspersed repeats annotation. BMC Genomics 2019; 20:295. [PMID: 31284879 PMCID: PMC6614062 DOI: 10.1186/s12864-019-5536-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Mitochondria is a powerhouse of all eukaryotic cells that have its own circular DNA (mtDNA) encoding various RNAs and proteins. Somatic perturbations of mtDNA are accumulating with age thus it is of great importance to uncover the main sources of mtDNA instability. Recent analyses demonstrated that somatic mtDNA deletions depend on imperfect repeats of various nature between distant mtDNA segments. However, till now there are no comprehensive databases annotating all types of imperfect repeats in numerous species with sequenced complete mitochondrial genome as well as there are no algorithms capable to call all types of imperfect repeats in circular mtDNA. RESULTS We implemented naïve algorithm of pattern recognition by analogy to standard dot-plot construction procedures allowing us to find both perfect and imperfect repeats of four main types: direct, inverted, mirror and complementary. Our algorithm is adapted to specific characteristics of mtDNA such as circularity and an excess of short repeats - it calls imperfect repeats starting from the length of 10 b.p. We constructed interactive web available database ImtRDB depositing perfect and imperfect repeats positions in mtDNAs of more than 3500 Vertebrate species. Additional tools, such as visualization of repeats within a genome, comparison of repeat densities among different genomes and a possibility to download all results make this database useful for many biologists. Our first analyses of the database demonstrated that mtDNA imperfect repeats (i) are usually short; (ii) associated with unfolded DNA structures; (iii) four types of repeats positively correlate with each other forming two equivalent pairs: direct and mirror versus inverted and complementary, with identical nucleotide content and similar distribution between species; (iv) abundance of repeats is negatively associated with GC content; (v) dinucleotides GC versus CG are overrepresented on light chain of mtDNA covered by repeats. CONCLUSIONS ImtRDB is available at http://bioinfodbs.kantiana.ru/ImtRDB/ . It is accompanied by the software calling all types of interspersed repeats with different level of degeneracy in circular DNA. This database and software can become a very useful tool in various areas of mitochondrial and chloroplast DNA research.
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Affiliation(s)
- Viktor A Shamanskiy
- Center for Mitochondrial Functional Genomics, School of Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Valeria N Timonina
- Center for Mitochondrial Functional Genomics, School of Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Konstantin Yu Popadin
- Center for Mitochondrial Functional Genomics, School of Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia.,Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Konstantin V Gunbin
- Center for Mitochondrial Functional Genomics, School of Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia. .,Center of Brain Neurobiology and Neurogenetics, Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
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Das R, Arora V, Jaiswal S, Iquebal MA, Angadi UB, Fatma S, Singh R, Shil S, Rai A, Kumar D. PolyMorphPredict: A Universal Web-Tool for Rapid Polymorphic Microsatellite Marker Discovery From Whole Genome and Transcriptome Data. FRONTIERS IN PLANT SCIENCE 2019; 9:1966. [PMID: 30687361 PMCID: PMC6337687 DOI: 10.3389/fpls.2018.01966] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 12/18/2018] [Indexed: 06/09/2023]
Abstract
Microsatellites are ubiquitously distributed, polymorphic repeat sequence valuable for association, selection, population structure and identification. They can be mined by genomic library, probe hybridization and sequencing of selected clones. Such approach has many limitations like biased hybridization and selection of larger repeats. In silico mining of polymorphic markers using data of various genotypes can be rapid and economical. Available tools lack in some or other aspects like: targeted user defined primer generation, polymorphism discovery using multiple sequence, size and number limits of input sequence, no option for primer generation and e-PCR evaluation, transferability, lack of complete automation and user-friendliness. They also lack the provision to evaluate published primers in e-PCR mode to generate additional allelic data using re-sequenced data of various genotypes for judicious utilization of previously generated data. We developed the tool (PolyMorphPredict) using Perl, R, Java and launched at Apache which is available at http://webtom.cabgrid.res.in/polypred/. It mines microsatellite loci and computes primers from genome/transcriptome data of any species. It can perform e-PCR using published primers for polymorphism discovery and across species transferability of microsatellite loci. Present tool has been evaluated using five species of different genome size having 21 genotypes. Though server is equipped with genomic data of three species for test run with gel simulation, but can be used for any species. Further, polymorphism predictability has been validated using in silico and in vitro PCR of four rice genotypes. This tool can accelerate the in silico microsatellite polymorphism discovery in re-sequencing projects of any species of plant and animal for their diversity estimation along with variety/breed identification, population structure, MAS, QTL and gene discovery, traceability, parentage testing, fungal diagnostics and genome finishing.
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Affiliation(s)
- Ritwika Das
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Vasu Arora
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - MA Iquebal
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - UB Angadi
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Samar Fatma
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Rakesh Singh
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sandip Shil
- Research Center, ICAR-Central Plantation Crops Research Institute, Jalpaiguri, India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
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6
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Huang C, Chu F, Liu S, Tseng Y, Huang Y, Ma L, Wang C, You YT, Hsu S, Hsieh H, Chen C, Chao C. Isolation and characterization of SSR and EST-SSR loci in Chamaecyparis formosensis (Cupressaceae). APPLICATIONS IN PLANT SCIENCES 2018; 6:e01175. [PMID: 30214838 PMCID: PMC6110241 DOI: 10.1002/aps3.1175] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 06/07/2018] [Indexed: 05/13/2023]
Abstract
PREMISE OF THE STUDY Simple sequence repeat (SSR) and expressed sequence tag (EST)-SSR markers were developed as tools for marker-assisted selection of Chamaecyparis formosensis and for the molecular differentiation of cypress species. METHODS AND RESULTS Based on the SSR-enriched genomic libraries and transcriptome data of C. formosensis, 300 primer pairs were selected for initial confirmation, of which 19 polymorphic SSR and eight polymorphic EST-SSR loci were chosen after testing in 92 individuals. The number of alleles observed for these 27 loci ranged from one to 17. The levels of observed and expected heterozygosity ranged from 0.000 to 1.000 and from 0.000 to 0.903, respectively. Most markers also amplified in C. obtusa var. formosana. CONCLUSIONS The developed SSR and EST-SSR sequences are the first reported markers specific to C. formosensis. These markers will be useful for individual identification of C. formosensis and to distinguish cypress species such as C. obtusa var. formosana.
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Affiliation(s)
- Chiun‐Jr Huang
- School of Forestry and Resource ConservationNational Taiwan UniversityNo. 1, Sec. 4, Roosevelt RoadTaipei10617Taiwan
- Department of Forensic ScienceInvestigation BureauMinistry of JusticeNo. 74, Zhonghua RoadNew Taipei City23149Taiwan
- Research Museum and Herbarium (HAST)Biodiversity Research CenterAcademia SinicaNo. 128, Sec. 2, Academia RoadTaipei11529Taiwan
| | - Fang‐Hua Chu
- School of Forestry and Resource ConservationNational Taiwan UniversityNo. 1, Sec. 4, Roosevelt RoadTaipei10617Taiwan
- Experimental Forest College of Bioresources and AgricultureNational Taiwan UniversityNo. 12, Sec. 1, Qianshan Road, Nantou CountyTaiwan55750Taiwan
| | - Shau‐Chian Liu
- Department of Applied ScienceNational Taitung UniversityNo. 369, Sec. 2, University RoadTaitung95092Taiwan
| | - Yu‐Hsin Tseng
- Research Museum and Herbarium (HAST)Biodiversity Research CenterAcademia SinicaNo. 128, Sec. 2, Academia RoadTaipei11529Taiwan
| | - Yi‐Shiang Huang
- Institute of Biological ChemistryAcademia SinicaNo. 128, Sec. 2, Academia RoadTaipei11529Taiwan
| | - Li‐Ting Ma
- School of Forestry and Resource ConservationNational Taiwan UniversityNo. 1, Sec. 4, Roosevelt RoadTaipei10617Taiwan
| | - Chieh‐Ting Wang
- Experimental Forest College of Bioresources and AgricultureNational Taiwan UniversityNo. 12, Sec. 1, Qianshan Road, Nantou CountyTaiwan55750Taiwan
| | - Ya Ting You
- Research Museum and Herbarium (HAST)Biodiversity Research CenterAcademia SinicaNo. 128, Sec. 2, Academia RoadTaipei11529Taiwan
| | - Shuo‐Yu Hsu
- School of Forestry and Resource ConservationNational Taiwan UniversityNo. 1, Sec. 4, Roosevelt RoadTaipei10617Taiwan
| | - Hsiang‐Chih Hsieh
- School of Forestry and Resource ConservationNational Taiwan UniversityNo. 1, Sec. 4, Roosevelt RoadTaipei10617Taiwan
| | - Chi‐Tsong Chen
- Department of Forensic ScienceInvestigation BureauMinistry of JusticeNo. 74, Zhonghua RoadNew Taipei City23149Taiwan
| | - Chi‐Hsiang Chao
- Department of Forensic ScienceInvestigation BureauMinistry of JusticeNo. 74, Zhonghua RoadNew Taipei City23149Taiwan
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Genovese LM, Geraci F, Corrado L, Mangano E, D'Aurizio R, Bordoni R, Severgnini M, Manzini G, De Bellis G, D'Alfonso S, Pellegrini M. A Census of Tandemly Repeated Polymorphic Loci in Genic Regions Through the Comparative Integration of Human Genome Assemblies. Front Genet 2018; 9:155. [PMID: 29770143 PMCID: PMC5941971 DOI: 10.3389/fgene.2018.00155] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 04/13/2018] [Indexed: 11/29/2022] Open
Abstract
Polymorphic Tandem Repeat (PTR) is a common form of polymorphism in the human genome. A PTR consists in a variation found in an individual (or in a population) of the number of repeating units of a Tandem Repeat (TR) locus of the genome with respect to the reference genome. Several phenotypic traits and diseases have been discovered to be strongly associated with or caused by specific PTR loci. PTR are further distinguished in two main classes: Short Tandem Repeats (STR) when the repeating unit has size up to 6 base pairs, and Variable Number Tandem Repeats (VNTR) for repeating units of size above 6 base pairs. As larger and larger populations are screened via high throughput sequencing projects, it becomes technically feasible and desirable to explore the association between PTR and a panoply of such traits and conditions. In order to facilitate these studies, we have devised a method for compiling catalogs of PTR from assembled genomes, and we have produced a catalog of PTR for genic regions (exons, introns, UTR and adjacent regions) of the human genome (GRCh38). We applied four different TR discovery software tools to uncover in the first phase 55,223,485 TR (after duplicate removal) in GRCh38, of which 373,173 were determined to be PTR in the second phase by comparison with five assembled human genomes. Of these, 263,266 are not included by state-of-the-art PTR catalogs. The new methodology is mainly based on a hierarchical and systematic application of alignment-based sequence comparisons to identify and measure the polymorphism of TR. While previous catalogs focus on the class of STR of small total size, we remove any size restrictions, aiming at the more general class of PTR, and we also target fuzzy TR by using specific detection tools. Similarly to other previous catalogs of human polymorphic loci, we focus our catalog toward applications in the discovery of disease-associated loci. Validation by cross-referencing with existing catalogs on common clinically-relevant loci shows good concordance. Overall, this proposed census of human PTR in genic regions is a shared resource (web accessible), complementary to existing catalogs, facilitating future genome-wide studies involving PTR.
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Affiliation(s)
| | - Filippo Geraci
- Institute for Informatics and Telematics of CNR, Pisa, Italy
| | - Lucia Corrado
- Department of Health Sciences, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | | | | | - Roberta Bordoni
- Institute for Biomedical Technologies of CNR, Segrate, Italy
| | | | - Giovanni Manzini
- Institute for Informatics and Telematics of CNR, Pisa, Italy.,Department of Science and Technological Innovation, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
| | | | - Sandra D'Alfonso
- Department of Health Sciences, University of Eastern Piedmont Amedeo Avogadro, Novara, Italy
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8
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Bioinformatics tools and databases for whole genome sequence analysis of Mycobacterium tuberculosis. INFECTION GENETICS AND EVOLUTION 2016; 45:359-368. [PMID: 27637931 DOI: 10.1016/j.meegid.2016.09.013] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Revised: 09/12/2016] [Accepted: 09/12/2016] [Indexed: 11/24/2022]
Abstract
Tuberculosis (TB) is an infectious disease of global public health importance caused by Mycobacterium tuberculosis complex (MTC) in which M. tuberculosis (Mtb) is the major causative agent. Recent advancements in genomic technologies such as next generation sequencing have enabled high throughput cost-effective generation of whole genome sequence information from Mtb clinical isolates, providing new insights into the evolution, genomic diversity and transmission of the Mtb bacteria, including molecular mechanisms of antibiotic resistance. The large volume of sequencing data generated however necessitated effective and efficient management, storage, analysis and visualization of the data and results through development of novel and customized bioinformatics software tools and databases. In this review, we aim to provide a comprehensive survey of the current freely available bioinformatics software tools and publicly accessible databases for genomic analysis of Mtb for identifying disease transmission in molecular epidemiology and in rapid determination of the antibiotic profiles of clinical isolates for prompt and optimal patient treatment.
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Bodner M, Bastisch I, Butler JM, Fimmers R, Gill P, Gusmão L, Morling N, Phillips C, Prinz M, Schneider PM, Parson W. Recommendations of the DNA Commission of the International Society for Forensic Genetics (ISFG) on quality control of autosomal Short Tandem Repeat allele frequency databasing (STRidER). Forensic Sci Int Genet 2016; 24:97-102. [DOI: 10.1016/j.fsigen.2016.06.008] [Citation(s) in RCA: 111] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2016] [Accepted: 06/11/2016] [Indexed: 01/20/2023]
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