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Marcantonio CC, Perles GH, Lopes MES, Soares LFF, da Costa PI, Cerri PS, Cirelli JA. Influence of anti-sclerostin monoclonal antibody in the repair of post-extraction sockets of ovariectomized rats. Arch Oral Biol 2024; 162:105962. [PMID: 38569446 DOI: 10.1016/j.archoralbio.2024.105962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/05/2024] [Accepted: 03/21/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVE This study assessed the impact of an anti-sclerostin monoclonal antibody (Scl-Ab)-based osteoporosis drug on the post-extraction alveolar repair of ovariectomized rats. DESIGN Fifteen female rats were randomly distributed into three groups: CTR (healthy animals), OST (osteoporosis induced by ovariectomy), and OST+Scl-Ab (osteoporosis induction followed by Scl-Ab treatment). Ovariectomy or sham surgery was performed 30 days before baseline, and Scl-Ab or a vehicle was administered accordingly in the groups. After seven days, all rats underwent the first lower molar extraction and were euthanized 15 days later. Computed microtomography, histological analysis, and collagen content measurement were performed on post-extraction sockets and intact mandibular and maxillary bone areas. RESULTS Microtomographic analyses of the sockets and mandibles did not reveal significant differences between groups on bone morphometric parameters (p > 0.05), while maxillary bone analyses resulted in better maintenance of bone architecture in OST+Scl-Ab, compared to OST (p < 0.05). Descriptive histological analysis and polarization microscopy indicated better post-extraction socket repair characteristics and collagen content in OST+Scl-Ab compared to OST (p < 0.05). CONCLUSIONS Scl-Ab-based medication did not accelerate alveolar bone formation but exhibited better post-extraction repair characteristics, and collagen content compared to ovariectomized animals only.
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Affiliation(s)
- Camila Chierici Marcantonio
- Department of Diagnosis and Surgery, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara, SP, Brazil
| | - Gabriel Henrique Perles
- Department of Diagnosis and Surgery, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara, SP, Brazil
| | - Maria Eduarda Scordamaia Lopes
- Department of Diagnosis and Surgery, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara, SP, Brazil
| | - Lélio Fernando Ferreira Soares
- Department of Diagnosis and Surgery, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara, SP, Brazil
| | - Paulo Inácio da Costa
- Department of Clinical Analysis, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil
| | - Paulo Sergio Cerri
- Department of Morphology, Laboratory of Histology and Embryology, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara, SP, Brazil
| | - Joni Augusto Cirelli
- Department of Diagnosis and Surgery, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara, SP, Brazil.
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Perry A, Eddelbuettel D, Rosenthal G, Blackmon H. Polly: An R package for genotyping microsatellites and detecting highly polymorphic DNA markers from short-read data. Mol Ecol Resour 2024; 24:e13933. [PMID: 38299378 PMCID: PMC10994724 DOI: 10.1111/1755-0998.13933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 01/10/2024] [Accepted: 01/23/2024] [Indexed: 02/02/2024]
Abstract
Highly polymorphic markers, such as microsatellites, are invaluable for the study of natural populations. However, contemporary methods for genotyping highly polymorphic variants have serious drawbacks that impede their efficiency. We created Polly, an R package with C++ source code that uses Illumina short-read data to genotype microsatellites, detect highly polymorphic variants and identify clusters of highly polymorphic SNPs, indels and microsatellites. We tested Polly on short-read data from Xiphophorus birchmanni (Teleostei: Poeciliidae) and Arabidopsis thaliana, finding it to be efficient and accurate both for microsatellite genotyping and polymorphic marker detection. This program can be applied to any diploid population for which there exists short-read data and at least one scaffolded reference genome.
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Affiliation(s)
- Annabel Perry
- Harvard University, Department of Human Evolutionary Biology
- Texas A&M University, Department of Biology
| | | | - Gil Rosenthal
- Texas A&M University, Department of Biology
- Università degli Studi di Padova, Dipartimento di Biologia
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Tang X, Wen D, Jin X, Wang C, Xu W, Qu W, Xu R, Jia H, Liu Y, Li X, Chen S, Fu X, Liang B, Li J, Liu Y, Zha L. A preliminary study on identification of the blood donor in a body fluid mixture using a novel compound genetic marker blood-specific methylation-microhaplotype. Forensic Sci Int Genet 2024; 70:103031. [PMID: 38493735 DOI: 10.1016/j.fsigen.2024.103031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 03/06/2024] [Accepted: 03/06/2024] [Indexed: 03/19/2024]
Abstract
Blood-containing mixtures are frequently encountered at crime scenes involving violence and murder. However, the presence of blood, and the association of blood with a specific donor within these mixtures present significant challenges in forensic analysis. In light of these challenges, this study sought to address these issues by leveraging blood-specific methylation sites and closely linked microhaplotype sites, proposing a novel composite genetic marker known as "blood-specific methylation-microhaplotype". This marker was designed to the detection of blood and the determination of blood donor within blood-containing mixtures. According to the selection criteria mentioned in the Materials and Methods section, we selected 10 blood-specific methylation-microhaplotype loci for inclusion in this study. Among these loci, eight exhibited blood-specific hypomethylation, while the remaining two displayed blood-specific hypermethylation. Based on data obtained from 124 individual samples in our study, the combined discrimination power (CPD) of these 10 successfully sequenced loci was 0.999999298. The sample allele methylation rate (Ram) was obtained from massive parallel sequencing (MPS), which was defined as the proportion of methylated reads to the total clustered reads that were genotyped to a specific allele. To develop an allele type classification model capable of identifying the presence of blood and the blood donor, we used the Random Forest algorithm. This model was trained and evaluated using the Ram distribution of individual samples and the Ram distribution of simulated shared alleles. Subsequently, we applied the developed allele type classification model to predict alleles within actual mixtures, trying to exclude non-blood-specific alleles, ultimately allowing us to identify the presence of blood and the blood donor in the blood-containing mixtures. Our findings demonstrate that these blood-specific methylation-microhaplotype loci have the capability to not only detect the presence of blood but also accurately associate blood with the true donor in blood-containing mixtures with the mixing ratios of 1:29, 1:19, 1:9, 1:4, 1:2, 2:1, 7:1, 8:1, 31:1 and 36:1 (blood:non-blood) by DNA mixture interpretation methods. In addition, the presence of blood and the true blood donor could be identified in a mixture containing four body fluids (blood:vaginal fluid:semen:saliva = 1:1:1:1). It is important to note that while these loci exhibit great potential, the impact of allele dropouts and alleles misidentification must be considered when interpreting the results. This is a preliminary study utilising blood-specific methylation-microhaplotype as a complementary tool to other well-established genetic markers (STR, SNP, microhaplotype, etc.) for the analysis in blood-containing mixtures.
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Affiliation(s)
- Xuan Tang
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Dan Wen
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Xin Jin
- Department of Public Security of Hainan Province, Haikou, Hainan Province, PR China
| | - Chudong Wang
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Wei Xu
- Central Laboratory, Hunan Provincal People's Hospital (The First Affiliated Hospitak of Hunan Normal University), Changsha, Hunan Province 410000, PR China
| | - Weifeng Qu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Ruyi Xu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Hongtao Jia
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Yi Liu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Xue Li
- Department of Forensic Medicine, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830017, PR China
| | - Siqi Chen
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Xiaoyi Fu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Bin Liang
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Jienan Li
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China
| | - Ying Liu
- Xiangya Stomatological Collage, Central South University, No72. Xiangya Road, Changsha, Hunan 410013, PR China.
| | - Lagabaiyila Zha
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, No172. Tongzipo Road, Changsha, Hunan 410013, PR China; Hebei Key Laboratory of Forensic Medicine, School of Forensic Medicine, Hebei Medical University, Shijiazhuang, PR China.
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Yanik EL, Saccone NL, Aleem AW, Chamberlain AM, Zmistowski B, Sefko JA, Keener JD. Factors associated with genetic markers for rotator cuff disease in patients with atraumatic rotator cuff tears. J Orthop Res 2024; 42:934-941. [PMID: 38041210 PMCID: PMC11009082 DOI: 10.1002/jor.25754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 11/06/2023] [Accepted: 11/29/2023] [Indexed: 12/03/2023]
Abstract
For atraumatic rotator cuff tears, genetics contributes to symptomatic tear risk and may influence rotator cuff healing after surgical repair. But little is known about how genetic factors influence rotator cuff tear patient characteristics at presentation. We collected saliva samples for genotyping from atraumatic rotator cuff tear patients. We examined nine single nucleotide polymorphisms (SNPs) associated with cuff tears in prior literature. We estimated associations of SNP dosage with (1) age at tear diagnosis, (2) bilateral atraumatic tear prevalence, and (3) tear size. Linear regression was used to estimate associations with diagnosis age adjusted for sex and principal components. Logistic regression and ordinal logistic regression were used to estimate associations with bilateral tear prevalence and tear size category, respectively, adjusting for age, sex, and principal components. Of 344 eligible patients, 336 provided sufficient samples for genotyping. Median age at tear diagnosis was 61, 22% (N = 74) had bilateral atraumatic tears, and 9% (N = 29) had massive tears. SNP rs13107325 in the SLC39A8 gene and rs11850957 in the STXBP6 gene were associated with younger diagnosis age even after accounting for multiple comparisons (rs13107325: -4 years, 95% CI = -6.5, -1.4; rs11850957: -2.7 years, 95% CI = -4.3, -1.1). No other significant associations were observed with diagnosis age, tear size, or bilateral tear prevalence. SLC39A8 encodes a Mn transporter. STXBP6 may play a role in inflammatory responses by altering phagocytosis and antigen presentation of monocytes and macrophages. Further research is needed to determine if genetic markers can be used alongside patient characteristics to aid in identifying optimal surgical repair candidates.
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Affiliation(s)
- Elizabeth L. Yanik
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO
| | - Nancy L. Saccone
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Alexander W. Aleem
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO
| | - Aaron M. Chamberlain
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO
| | - Benjamin Zmistowski
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO
| | - Julianne A. Sefko
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO
| | - Jay D. Keener
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO
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Li Z, Liu N, Yuan F, Guan Z, Liu J, Liu F, Ren J, Yan J, Zhang G. Development of a novel panel for blood identification based on blood-specific CpG-linked SNP markers. Int J Legal Med 2024; 138:1205-1219. [PMID: 37853302 DOI: 10.1007/s00414-023-03105-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 09/27/2023] [Indexed: 10/20/2023]
Abstract
Blood-containing mixtures often appear in murder and robbery cases, and their identification plays a significant role in solving crimes. In recent years, the co-detection of DNA methylation markers (CpG) and single nucleotide polymorphism (SNP) markers has been shown to be a promising tool for the identification of semen and its donor. However, similar research on blood stains that are frequently found at crime scenes has not yet been reported. In this study, we employed blood-specific CpG-linked SNP markers (CpG-SNP) for blood-specific genotyping and the linking of blood and its donor. The tissue-specific CpG markers were screened from the literature and further verified by combining bisulfite conversion with amplification-refractory mutation system (ARMS) technology. Meanwhile, adjacent SNP markers with a minor allele frequency (MAF) greater than 0.1 were selected within 400 bp upstream and downstream of the CpG markers. SNP genotyping was performed using SNaPshot technology on a capillary electrophoresis (CE) platform. Finally, a multiplex panel, including 19 blood-specific CpG linked to 23 SNP markers, as well as 1 semen-specific CpG, 1 vaginal secretion-specific CpG, and 1 saliva-specific CpG marker, was constructed successfully. The panel showed good tissue specificity and blood stains stored at room temperature for up to nine months and moderately degraded (4 < DI < 10) could be effectively identified. Moreover, it could also be detected when blood content in the mixed stains was as low as 1%. In addition, 15 ng of DNA used for bisulfite conversion was required for obtaining a complete profile. The cumulative discrimination power of the panel among the Han population of northern China could reach 0.999983. This is the first investigation conducted for the simultaneous identification of blood and its donor regardless of other body fluids included in mixed stains. The successful construction of the panel will play a vital role in the comprehensive analysis of blood-containing mixtures in forensic practice.
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Affiliation(s)
- Zeqin Li
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, Shanxi, China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, 030600, Shanxi, China
| | - Na Liu
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, Shanxi, China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, 030600, Shanxi, China
| | - Fang Yuan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, Shanxi, China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, 030600, Shanxi, China
| | - Zimeng Guan
- Department of Biotechnology, Biomedical Sciences College, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, China
| | - Jinding Liu
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, Shanxi, China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, 030600, Shanxi, China
| | - Feng Liu
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, Shanxi, China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, 030600, Shanxi, China
| | - Jianbo Ren
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, Shanxi, China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, 030600, Shanxi, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, Shanxi, China.
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, 030600, Shanxi, China.
| | - Gengqian Zhang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030600, Shanxi, China.
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, 030600, Shanxi, China.
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Bovo S, Ribani A, Schiavo G, Taurisano V, Bertolini F, Fornasini D, Frabetti A, Fontanesi L. Genome-wide association studies for diarrhoea outcomes identified genomic regions affecting resistance to a severe enteropathy in suckling rabbits. J Anim Breed Genet 2024; 141:328-342. [PMID: 38152994 DOI: 10.1111/jbg.12844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/04/2023] [Accepted: 12/16/2023] [Indexed: 12/29/2023]
Abstract
Selection and breeding strategies to improve resistance to enteropathies are essential to reaching the sustainability of the rabbit production systems. However, disease heterogeneity (having only as major visible symptom diarrhoea) and low disease heritability are two barriers for the implementation of these strategies. Diarrhoea condition can affect rabbits at different life stages, starting from the suckling period, with large negative economic impacts. In this study, from a commercial population of suckling rabbits (derived from 133 litters) that experienced an outbreak of enteropathy, we first selected a few animals that died with severe symptoms of diarrhoea and characterized their microbiota, using 16S rRNA gene sequencing data. Clostridium genus was consistently present in all affected specimens. In addition, with the aim to identify genetic markers in the rabbit genome that could be used as selection tools, we performed genome-wide association studies for symptoms of diarrhoea in the same commercial rabbit population. These studies were also complemented with FST analyses between the same groups of rabbits. A total of 332 suckling rabbits (151 with severe symptoms of diarrhoea, 42 with mild symptoms and 129 without any symptoms till the weaning period), derived from 45 different litters (a subset of the 133 litters) were genotyped with the Affymetrix Axiom OrcunSNP Array. In both genomic approaches, rabbits within litters were paired to constitute two groups (susceptible and resistant, including the mildly affected in one or the other group) and run case and control genome-wide association analyses. Genomic heritability estimated in the designed experimental structure integrated in a commercial breeding scheme was 0.19-0.21 (s.e. 0.09-0.10). A total of eight genomic regions on rabbit chromosome 2 (OCU2), OCU3, OCU7, OCU12, OCU13, OCU16 and in an unassembled scaffold had significant single nucleotide polymorphisms (SNPs) and/or markers that trespassed the FST percentile distribution. Among these regions, three main peaks of SNPs were identified on OCU12, OCU13 and OCU16. The QTL region on OCU13 encompasses several genes that encode members of a family of immunoglobulin Fc receptors (FCER1G, FCRLA, FCRLB and FCGR2A) involved in the immune innate system, which might be important candidate genes for this pathogenic condition. The results obtained in this study demonstrated that resistance to an enteropathy occurring in suckling rabbits is in part genetically determined and can be dissected at the genomic level, providing DNA markers that could be used in breeding programmes to increase resistance to enteropathies in meat rabbits.
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Affiliation(s)
- Samuele Bovo
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Anisa Ribani
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Giuseppina Schiavo
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Valeria Taurisano
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Francesca Bertolini
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Daniela Fornasini
- Gruppo Martini S.p.A., Centro Genetica Conigli (Rabbit Genetic Center), Longiano, Italy
| | - Andrea Frabetti
- Gruppo Martini S.p.A., Centro Genetica Conigli (Rabbit Genetic Center), Longiano, Italy
| | - Luca Fontanesi
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
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Bachoon DS, Redhead ASZ, Mead AJ. Mitochondrial DNA marker: A PCR approach for tracking rat (Rattus rattus and Rattus norvegicus) fecal pollution in surface water systems. Sci Total Environ 2024; 921:171164. [PMID: 38402984 DOI: 10.1016/j.scitotenv.2024.171164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/19/2024] [Accepted: 02/19/2024] [Indexed: 02/27/2024]
Abstract
Rats act as reservoirs for a wide range of zoonotic pathogens and can negatively impact human health. In this study, we developed a novel dye base mitochondrial DNA (mtDNA) PCR-assay (RatMt) specifically targeting a 180 bp fragment of the NADH dehydrogenase subunit 2 gene for detecting fecal pollution from two species of rats (Rattus rattus and Rattus norvegicus) in environmental samples. Estimation of Escherichia coli concentrations in Rattus norvegicus fecal pellets suggested that there were approximately 2.24 × 10 4 ± 4.86 × 103 MPN/g of fecal pellet. The RatMt PCR assay was robust, had a detection limit of rat feces in water of 0.274 ± 0.14 mg/100 mL and was 100 % specific for detecting Rattus rattus and Rattus norvegicus fecal mtDNA. Fecal Indicator Bacteria (FIB) along an urbanized gradient in Pensacola-Bay was assessed by the IDEXX Colilert™ - 18 and indicated that the majority of the fifteen sampling sites in the Pensacola-Bay area had E. coli concentrations >410 MPN/100 mL. Rattus rattus and Rattus norvegicus mtDNA were detected in all the urban marine sites, three of the urban freshwater sampling areas, and three of the forested sampling sites. The RatMt PCR assay is a useful tool for rapidly detecting Rattus rattus and Rattus norvegicus fecal pollution in environmental samples.
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Affiliation(s)
- Dave S Bachoon
- Department of Biological and Environmental Sciences, Georgia College & State University, Campus Box 81, Milledgeville, GA 31061-0490, USA.
| | - Aaden S Z Redhead
- Department of Biological and Environmental Sciences, Georgia College & State University, Campus Box 81, Milledgeville, GA 31061-0490, USA
| | - Alfred J Mead
- Department of Biological and Environmental Sciences, Georgia College & State University, Campus Box 81, Milledgeville, GA 31061-0490, USA
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Cao C, Zhou Q, Kang Y, Akhatayeva Z, Liu P, Bai Y, Li R, Jiang Y, Zhang Q, Lan X, Pan C. A repertoire of single nucleotide polymorphisms (SNPs) of major fecundity BMPR1B gene among 75 sheep breeds worldwide. Theriogenology 2024; 219:59-64. [PMID: 38401385 DOI: 10.1016/j.theriogenology.2024.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 02/19/2024] [Accepted: 02/19/2024] [Indexed: 02/26/2024]
Abstract
The BMPR1B gene is a major determinant of sheep reproductive capacity. Previous studies revealed that Q249R (FecB) is a profound variant of BMPR1B that influences the ovulation rate and litter size in sheep. However, unlike Q249R locus, the full spectrum of single nucleotide polymorphisms (SNPs) within BMPR1B has not been extensively studied. A systematic screen of SNPs in BMPR1B would facilitate the discovery of novel variants that are associated with litter size. This study aimed to investigate SNPs in the BMPR1B gene via whole genome sequence (WGS) data from 2409 individuals of 75 sheep breeds worldwide. Herein, a total of 9688 variants were screened, among which 15 were coding variants and 8 were novel changes. Specifically, we presented the most comprehensive frequency distribution map of the well-known FecB mutation to date. Besides, among the above-mentioned SNPs, one synonymous mutation (g.30050773C > T) was found to be likely under selection and is potentially associated with fecundity in Duolang sheep. Thus, our study greatly expands the variation repertoire of the ovine BMPR1B gene and provides a valuable resource for exploring causative mutations and genetic markers associated with litter size.
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Affiliation(s)
- Chunna Cao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Qian Zhou
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Yuxin Kang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Zhanerke Akhatayeva
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Peiyao Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Yuheng Bai
- Sheep Industry Development Center of Yulin City, Yulin, 719053, China.
| | - Ran Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Qingfeng Zhang
- Tianjin Aoqun Sheep Industry Academy Company, Tianjin, 300000, China.
| | - Xianyong Lan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Chuanying Pan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
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Mwesigwa A, Ocan M, Musinguzi B, Nante RW, Nankabirwa JI, Kiwuwa SM, Kinengyere AA, Castelnuovo B, Karamagi C, Obuku EA, Nsobya SL, Mbulaiteye SM, Byakika-Kibwika P. Plasmodium falciparum genetic diversity and multiplicity of infection based on msp-1, msp-2, glurp and microsatellite genetic markers in sub-Saharan Africa: a systematic review and meta-analysis. Malar J 2024; 23:97. [PMID: 38589874 PMCID: PMC11000358 DOI: 10.1186/s12936-024-04925-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 04/01/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND In sub-Saharan Africa (SSA), Plasmodium falciparum causes most of the malaria cases. Despite its crucial roles in disease severity and drug resistance, comprehensive data on Plasmodium falciparum genetic diversity and multiplicity of infection (MOI) are sparse in SSA. This study summarizes available information on genetic diversity and MOI, focusing on key markers (msp-1, msp-2, glurp, and microsatellites). The systematic review aimed to evaluate their influence on malaria transmission dynamics and offer insights for enhancing malaria control measures in SSA. METHODS The review was conducted following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Two reviewers conducted article screening, assessed the risk of bias (RoB), and performed data abstraction. Meta-analysis was performed using the random-effects model in STATA version 17. RESULTS The review included 52 articles: 39 cross-sectional studies and 13 Randomized Controlled Trial (RCT)/cohort studies, involving 11,640 genotyped parasite isolates from 23 SSA countries. The overall pooled mean expected heterozygosity was 0.65 (95% CI: 0.51-0.78). Regionally, values varied: East (0.58), Central (0.84), Southern (0.74), and West Africa (0.69). Overall pooled allele frequencies of msp-1 alleles K1, MAD20, and RO33 were 61%, 44%, and 40%, respectively, while msp-2 I/C 3D7 and FC27 alleles were 61% and 55%. Central Africa reported higher frequencies (K1: 74%, MAD20: 51%, RO33: 48%) than East Africa (K1: 46%, MAD20: 42%, RO33: 31%). For msp-2, East Africa had 60% and 55% for I/C 3D7 and FC27 alleles, while West Africa had 62% and 50%, respectively. The pooled allele frequency for glurp was 66%. The overall pooled mean MOI was 2.09 (95% CI: 1.88-2.30), with regional variations: East (2.05), Central (2.37), Southern (2.16), and West Africa (1.96). The overall prevalence of polyclonal Plasmodium falciparum infections was 63% (95% CI: 56-70), with regional prevalences as follows: East (62%), West (61%), Central (65%), and South Africa (71%). CONCLUSION The study shows substantial regional variation in Plasmodium falciparum parasite genetic diversity and MOI in SSA. These findings suggest a need for malaria control strategies and surveillance efforts considering regional-specific factors underlying Plasmodium falciparum infection.
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Affiliation(s)
- Alex Mwesigwa
- Clinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda.
- Department of Microbiology and Immunology, School of Medicine, Kabale University, P. O Box 314, Kabale, Uganda.
| | - Moses Ocan
- Department of Pharmacology and Therapeutics, School of Biomedical Sciences, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
- African Center for Systematic Reviews and Knowledge Translation, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
| | - Benson Musinguzi
- Departent of Medical Laboratory Science, Faculty of Health Sciences, Muni University, P.O Box 725, Arua, Uganda
| | - Rachel Wangi Nante
- African Center for Systematic Reviews and Knowledge Translation, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
| | - Joaniter I Nankabirwa
- Clinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda
- Infectious Diseases Research Collaboration, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
| | - Steven M Kiwuwa
- Department of Biochemistry, School of Biomedical Sciences, College of Health Sciences, Makerere, University, P.O. Box 7072, Kampala, Uganda
| | - Alison Annet Kinengyere
- Albert Cook Library, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
| | - Barbara Castelnuovo
- Infectious Diseases Institute, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda
| | - Charles Karamagi
- Clinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda
| | - Ekwaro A Obuku
- Infectious Diseases Institute, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda
- African Center for Systematic Reviews and Knowledge Translation, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Samuel L Nsobya
- Infectious Diseases Research Collaboration, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, 6E-118, Bethesda, MD, 20892, USA
| | - Pauline Byakika-Kibwika
- Department of Medicine, School of Medicine, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda
- Infectious Diseases Institute, College of Health Sciences, Makerere University, P. O. Box 7072, Kampala, Uganda
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Ritland K. Relatedness coefficients and their applications for triplets and quartets of genetic markers. G3 (Bethesda) 2024; 14:jkad236. [PMID: 38411620 PMCID: PMC10989858 DOI: 10.1093/g3journal/jkad236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 07/26/2023] [Indexed: 02/28/2024]
Abstract
Relatedness coefficients which seek the identity-by-descent of genetic markers are described. The markers are in groups of two, three or four, and if four, can consist of two pairs. It is essential to use cumulants (not moments) for four-marker-gene probabilities, as the covariance of homozygosity, used in four-marker applications, can only be described with cumulants. A covariance of homozygosity between pairs of markers arises when populations follow a mixture distribution. Also, the probability of four markers all identical-by-descent equals the normalized fourth cumulant. In this article, a "genetic marker" generally represents either a gene locus or an allele at a locus. Applications of three marker coefficients mainly involve conditional regression, and applications of four marker coefficients can involve identity disequilibrium. Estimation of relatedness using genetic marker data is discussed. However, three- and four-marker estimators suffer from statistical and numerical problems, including higher statistical variance, complexity of estimation formula, and singularity at some intermediate allele frequencies.
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Affiliation(s)
- Kermit Ritland
- Biodiversity Research Center, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
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11
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Yang R, Kong W, Liu K, Wen G, Yu Y. Exploring Imaging Genetic Markers of Alzheimer's Disease Based on a Novel Nonlinear Correlation Analysis Algorithm. J Mol Neurosci 2024; 74:35. [PMID: 38568443 DOI: 10.1007/s12031-024-02190-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/16/2024] [Indexed: 04/05/2024]
Abstract
Alzheimer's disease (AD) is an irreversible neurological disorder characterized by insidious onset. Identifying potential markers in its emergence and progression is crucial for early diagnosis and treatment. Imaging genetics typically merges genetic variables with multiple imaging parameters, employing various association analysis algorithms to investigate the links between pathological phenotypes and genetic variations, and to unearth molecular-level insights from brain images. However, most existing imaging genetics algorithms based on sparse learning assume a linear relationship between genetic factors and brain functions, limiting their ability to discern complex nonlinear correlation patterns and resulting in reduced accuracy. To address these issues, we propose a novel nonlinear imaging genetic association analysis method, Deep Self-Reconstruction-based Adaptive Sparse Multi-view Deep Generalized Canonical Correlation Analysis (DSR-AdaSMDGCCA). This approach facilitates joint learning of the nonlinear relationships between pathological phenotypes and genetic variations by integrating three different types of data: structural magnetic resonance imaging (sMRI), single-nucleotide polymorphism (SNP), and gene expression data. By incorporating nonlinear transformations in DGCCA, our model effectively uncovers nonlinear associations across multiple data types. Additionally, the DSR algorithm clusters samples with identical labels, incorporating label information into the nonlinear feature extraction process and thus enhancing the performance of association analysis. The application of the DSR-AdaSMDGCCA algorithm on real data sets identified several AD risk regions (such as the hippocampus, parahippocampus, and fusiform gyrus) and risk genes (including VSIG4, NEDD4L, and PINK1), achieving maximum classification accuracy with the fewest selected features compared to baseline algorithms. Molecular biology enrichment analysis revealed that the pathways enriched by these top genes are intimately linked to AD progression, affirming that our algorithm not only improves correlation analysis performance but also identifies biologically significant markers.
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Affiliation(s)
- Renbo Yang
- College of Information Engineering, Shanghai Maritime University, 1550 Haigang Ave, Shanghai, 201306, People's Republic of China
| | - Wei Kong
- College of Information Engineering, Shanghai Maritime University, 1550 Haigang Ave, Shanghai, 201306, People's Republic of China.
| | - Kun Liu
- College of Information Engineering, Shanghai Maritime University, 1550 Haigang Ave, Shanghai, 201306, People's Republic of China
| | - Gen Wen
- Department of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Yaling Yu
- Department of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Institute of Microsurgery on Extremities, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
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12
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Nishmitha K, Bashyal BM, Dubey SC, Kamil D. Molecular characterization of Indian races of Fusarium oxysporum f. sp. lentis (Fol) based on secreted in Xylem (SIX) effector genes and development of a SIX11 gene-based molecular marker for specific detection of Fol. Arch Microbiol 2024; 206:200. [PMID: 38564016 DOI: 10.1007/s00203-024-03945-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/13/2024] [Accepted: 03/26/2024] [Indexed: 04/04/2024]
Abstract
Fusarium wilt of lentil caused by Fusarium oxysporum f. sp. lentis (Fol) is a destructive pathogen limiting lentil production in India. In the present study, Secreted in Xylem (SIX) effectors genes were explored in Indian races of Fol and also a diagnostic tool for reliable detection of the disease was developed. Four SIX effectors genes, SIX11, SIX13, SIX6 and SIX2 were identified in 12 isolates of Fol belonging to seven races. SIX11 was present in all the races while SIX 13 was absent in race 6 and SIX6 was present only in race 4. The phylogenetic analysis revealed the conserved nature of the SIX genes within the forma specialis and showed sequence homology with F. oxysporum f. sp. pisi. The presence of three effectors, SIX11, SIX13 and SIX6 in race 4 correlates with high disease incidence in lentil germplasms. The in-silico characterization revealed the presence of signal peptide and localization of the effectors. Further SIX11 effector gene present in all the isolates was used to develop Fol-specific molecular marker for accurate detection. The marker developed could differentiate F. oxysporum f. sp. lycopersici, F. solani, F. oxysporum, Rhizoctonia solani and Sclerotium rolfsii and had a detection limit of 0.01ng μL- 1. The effector-based marker detection helps in the unambiguous detection of the pathogen under field conditions.
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Affiliation(s)
- K Nishmitha
- Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Bishnu Maya Bashyal
- Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - S C Dubey
- Birsa Agricultural University, Jharkhand, 834006, India
| | - Deeba Kamil
- Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
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Yang M, Wang M, Zhao X, Xu F, Liang S, Wang Y, Wang N, Sambou ML, Jiang Y, Dai J. DNA methylation marker identification and poly-methylation risk score in prediction of healthspan termination. Epigenomics 2024; 16:461-472. [PMID: 38482663 DOI: 10.2217/epi-2023-0343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024] Open
Abstract
Aim: To elucidate the epigenetic consequences of DNA methylation in healthspan termination (HST), considering the current limited understanding. Materials & methods: Genetically predicted DNA methylation models were established (n = 2478). These models were applied to genome-wide association study data on HST. Then, a poly-methylation risk score (PMRS) was established in 241,008 individuals from the UK Biobank. Results: Of the 63,046 CpGs from the prediction models, 13 novel CpGs were associated with HST. Furthermore, people with high PMRSs showed higher HST risk (hazard ratio: 1.18; 95% CI: 1.13-1.25). Conclusion: The study indicates that DNA methylation may influence HST by regulating the expression of genes (e.g., PRMT6, CTSK). PMRSs have a promising application in discriminating subpopulations to facilitate early prevention.
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Affiliation(s)
- Meiqi Yang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Mei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Xiaoyu Zhao
- Department of Statistics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Feifei Xu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Shuang Liang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yifan Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Nanxi Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Muhammed Lamin Sambou
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention & Treatment, Collaborative Innovation Center for Cancer Personalized Medicine & China International Cooperation Center for Environment & Human Health, Gusu School, Nanjing Medical University, Nanjing, 211166, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention & Treatment, Collaborative Innovation Center for Cancer Personalized Medicine & China International Cooperation Center for Environment & Human Health, Gusu School, Nanjing Medical University, Nanjing, 211166, China
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Kanthaswamy S. Review: Wildlife forensic genetics-Biological evidence, DNA markers, analytical approaches, and challenges. Anim Genet 2024; 55:177-192. [PMID: 38123142 DOI: 10.1111/age.13390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 12/02/2023] [Accepted: 12/03/2023] [Indexed: 12/23/2023]
Abstract
Wildlife-related crimes are the second most prevalent lawbreaking offense globally. This illicit trade encompasses hunting, breeding and trafficking. Besides diminishing many species and their habitats and ecosystems, hindering the economic development of local communities that depend on them, undermining the rule of law and financing terrorism, various cross-species transmissions (zoonoses) of pathogens, including COVID-19, can be attributed to wildlife crimes. Wildlife forensics applies interdisciplinary scientific analyses to support law enforcement in investigating wildlife crimes. Its main objectives are to identify the taxonomic species in question, determine if a crime has been committed, link a suspect to the crime and support the conviction and prosecution of the perpetrator. This article reviews wildlife crime and its implications, wildlife forensic science investigation, common forms of wildlife biological evidence, including DNA, wildlife DNA techniques and challenges in wildlife forensic genetics. The article also reviews the contributions of genetic markers such as short tandem repeat (STR) and mitochondrial DNA (mtDNA) markers, which provide the probative genetic data representing the bulk of DNA evidence for solving wildlife crime. This review provides an overview of wildlife DNA databases, which are critical for searching and matching forensic DNA profiles and sequences and establishing how frequent forensic DNA profiles and sequences are in a particular population or geographic region. As such, this review will contain an in-depth analysis of the current status of wildlife forensic genetics, and it will be of general interest to wildlife and conservation biologists, law enforcement officers, and academics interested in combating crimes against wildlife using animal forensic DNA methods.
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Affiliation(s)
- Sree Kanthaswamy
- School of Interdisciplinary Forensics, Arizona State University, Tempe, Arizona, USA
- California National Primate Research Center, University of California, Davis, California, USA
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15
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Dhillon BK, Kortbeek S, Baghela A, Brindle M, Martin DA, Jenne CN, Vogel HJ, Lee AHY, Thompson GC, Hancock REW. Gene Expression Profiling in Pediatric Appendicitis. JAMA Pediatr 2024; 178:391-400. [PMID: 38372989 PMCID: PMC10877506 DOI: 10.1001/jamapediatrics.2023.6721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 11/13/2023] [Indexed: 02/20/2024]
Abstract
Importance Appendicitis is the most common indication for urgent surgery in the pediatric population, presenting across a range of severity and with variable complications. Differentiating simple appendicitis (SA) and perforated appendicitis (PA) on presentation may help direct further diagnostic workup and appropriate therapy selection, including antibiotic choice and timing of surgery. Objective To provide a mechanistic understanding of the differences in disease severity of appendicitis with the objective of developing improved diagnostics and treatments, specifically for the pediatric population. Design, Setting, and Participants The Gene Expression Profiling of Pediatric Appendicitis (GEPPA) study was a single-center prospective exploratory diagnostic study with transcriptomic profiling of peripheral blood collected from a cohort of children aged 5 to 17 years with abdominal pain and suspected appendicitis between November 2016 and April 2017 at the Alberta Children's Hospital in Calgary, Alberta, Canada, with data analysis reported in August 2023. There was no patient follow-up in this study. Exposure SA, PA, or nonappendicitis abdominal pain. Main Outcomes and Measures Blood transcriptomics was used to develop a hypothesis of underlying mechanistic differences between SA and PA to build mechanistic hypotheses and blood-based diagnostics. Results Seventy-one children (mean [SD] age, 11.8 [3.0] years; 48 [67.6%] male) presenting to the emergency department with abdominal pain and suspected appendicitis were investigated using whole-blood transcriptomics. A central role for immune system pathways was revealed in PA, including a dampening of major innate interferon responses. Gene expression changes in patients with PA were consistent with downregulation of immune response and inflammation pathways and shared similarities with gene expression signatures derived from patients with sepsis, including the most severe sepsis endotypes. Despite the challenges in identifying early biomarkers of severe appendicitis, a 4-gene signature that was predictive of PA compared to SA, with an accuracy of 85.7% (95% CI, 72.8-94.1) was identified. Conclusions This study found that PA was complicated by a dysregulated immune response. This finding should inform improved diagnostics of severity, early management strategies, and prevention of further postsurgical complications.
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Affiliation(s)
- Bhavjinder K. Dhillon
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Simone Kortbeek
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Arjun Baghela
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mary Brindle
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Dori-Ann Martin
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Craig N. Jenne
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Hans J. Vogel
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Amy H. Y. Lee
- Department of Molecular Biology & Biochemistry, Simon Fraser University, British Columbia, Canada
| | - Graham C. Thompson
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Robert E. W. Hancock
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada
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Pacilli M, Kamaleswaran R. New Genetic Biomarkers to Diagnose Pediatric Appendicitis. JAMA Pediatr 2024; 178:341-342. [PMID: 38372987 DOI: 10.1001/jamapediatrics.2023.6731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Affiliation(s)
- Maurizio Pacilli
- Department of Paediatric Surgery, Monash Children's Hospital, Melbourne, Victoria, Australia
- Department of Paediatrics, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
- Department of Surgery, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Rishikesan Kamaleswaran
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia
- Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta
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Carine MR, Pagilla KR. A mass balance approach for quantifying the role of natural decay and fate mechanisms on SARS-CoV-2 genetic marker removal during water reclamation. Water Environ Res 2024; 96:e11015. [PMID: 38599573 DOI: 10.1002/wer.11015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/06/2024] [Accepted: 02/28/2024] [Indexed: 04/12/2024]
Abstract
The recent SARS-CoV-2 outbreak yielded substantial data regarding virus fate and prevalence at water reclamation facilities (WRFs), identifying influential factors as natural decay, adsorption, light, pH, salinity, and antagonistic microorganisms. However, no studies have quantified the impact of these factors in full scale WRFs. Utilizing a mass balance approach, we assessed the impact of natural decay and other fate mechanisms on genetic marker removal during water reclamation, through the use of sludge and wastewater genetic marker loading estimates. Results indicated negligible removal of genetic markers during P/PT (primary effluent (PE) p value: 0.267; preliminary and primary treatment (P/PT) accumulation p value: 0.904; and thickened primary sludge (TPS) p value: 0.076) indicating no contribution of natural decay and other fate mechanisms toward removal in P/PT. Comparably, adsorption and decomposition was found to be the dominant pathway for genetic marker removal (thickened waste activated sludge (TWAS) log loading 9.75 log10 GC/day); however, no estimation of log genetic marker accumulation could be carried out due to high detections in TWAS. PRACTITIONER POINTS: The mass balance approach suggested that the contribution of natural decay and other fate mechanisms to virus removal during wastewater treatment are negligible compared with adsorption and decomposition in P/PT (p value: 0.904). During (P/PT), a higher viral load remained in the (PE) (14.16 log10 GC/day) compared with TPS (13.83 log10 GC/day); however, no statistical difference was observed (p value: 0.280) indicting that adsorption/decomposition most probably did not occur. In secondary treatment (ST), viral genetic markers in TWAS were consistently detected (13.41 log10 GC/day) compared with secondary effluent (SE), indicating that longer HRT and the potential presence of extracellular polymeric substance-containing enriched biomass enabled adsorption/decomposition. Estimations of total solids and volatile solids for TPS and TWAS indicated that adsorption affinity was different between solids sampling locations (p value: <0.0001).
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Affiliation(s)
- Madeline R Carine
- Department of Civil and Environmental Engineering, University of Nevada, Reno, Nevada, USA
| | - Krishna R Pagilla
- Department of Civil and Environmental Engineering, University of Nevada, Reno, Nevada, USA
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Singh HC, Tiwari V, Tiwari A, Rana TS. Development of EST-SSR markers in Bergenia ciliata using de novo transcriptome sequencing. Genome 2024; 67:119-124. [PMID: 38091581 DOI: 10.1139/gen-2023-0059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Abstract
Bergenia ciliata (Haw.) Sternb. is an important herb predominantly found in the Indian Himalayan Region. It is widely used in medicines, healthcare systems, cosmetics, fodder, and ornamental purposes. The Illumina sequencing and de novo transcriptome assembly were carried out in B. ciliata to develop and identify simple sequence repeat markers. A total of 18 226 simple sequence repeats (SSRs) were identified wherein di-nucleotides were found to be abundant (47.88%), followed by mono-nucleotide (35.03%) and tri-nucleotide (15.88%) repeats. A total of 11 839 EST-SSR primers were designed, of which 96 primer pairs were commercially synthesized. Finally, 17 primer pairs revealed clear, distinct polymorphic bands, and these primers were validated with 40 diverse B. ciliata accessions. The present study revealed moderate level of genetic diversity (Ho = 0.389, He = 0.542, and PIC = 0.513). Furthermore, the transcriptome data and EST-SSR markers generated during the present investigation could be an important genetic resource for functional genomics, population studies, and conservation genetics of the genus Bergenia.
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Affiliation(s)
- Harish Chandra Singh
- Molecular Systematics Laboratory, CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226001, Uttar Pradesh, India
- School of Studies in Botany, Jiwaji University, Gwalior-474011, Madhya Pradesh, India
| | - Vandana Tiwari
- Molecular Systematics Laboratory, CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226001, Uttar Pradesh, India
| | - Avinash Tiwari
- School of Studies in Botany, Jiwaji University, Gwalior-474011, Madhya Pradesh, India
| | - Tikam S Rana
- Molecular Systematics Laboratory, CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow-226001, Uttar Pradesh, India
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Dai Z, Ko T, Fujita K, Nomura S, Uemura Y, Onoue K, Hamano M, Katoh M, Yamada S, Katagiri M, Zhang B, Hatsuse S, Yamada T, Inoue S, Kubota M, Sawami K, Heryed T, Ito M, Amiya E, Hatano M, Takeda N, Morita H, Yamanishi Y, Saito Y, Komuro I. Myocardial DNA Damage Predicts Heart Failure Outcome in Various Underlying Diseases. JACC Heart Fail 2024; 12:648-661. [PMID: 37930291 DOI: 10.1016/j.jchf.2023.09.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Reliable predictors of treatment efficacy in heart failure have been long awaited. DNA damage has been implicated as a cause of heart failure. OBJECTIVES The purpose of this study was to investigate the association of DNA damage in myocardial tissue with treatment response and prognosis of heart failure. METHODS The authors performed immunostaining of DNA damage markers poly(ADP-ribose) (PAR) and γ-H2A.X in endomyocardial biopsy specimens from 175 patients with heart failure with reduced ejection fraction (HFrEF) of various underlying etiologies. They calculated the percentage of nuclei positive for each DNA damage marker (%PAR and %γ-H2A.X). The primary outcome was left ventricular reverse remodeling (LVRR) at 1 year, and the secondary outcome was a composite of cardiovascular death, heart transplantation, and ventricular assist device implantation. RESULTS Patients who did not achieve LVRR after the optimization of medical therapies presented with significantly higher %PAR and %γ-H2A.X. The ROC analysis demonstrated good performance of both %PAR and %γ-H2A.X for predicting LVRR (AUCs: 0.867 and 0.855, respectively). There was a negative correlation between the mean proportion of DNA damage marker-positive nuclei and the probability of LVRR across different underlying diseases. In addition, patients with higher %PAR or %γ-H2A.X had more long-term clinical events (PAR HR: 1.63 [95% CI: 1.31-2.01]; P < 0.001; γ-H2A.X HR: 1.48 [95% CI: 1.27-1.72]; P < 0.001). CONCLUSIONS DNA damage determines the consequences of human heart failure. Assessment of DNA damage is useful to predict treatment efficacy and prognosis of heart failure patients with various underlying etiologies.
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Affiliation(s)
- Zhehao Dai
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan. https://twitter.com/ZhehaoDai_Cards
| | - Toshiyuki Ko
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Department of Therapeutic Strategy for Heart Failure, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Kanna Fujita
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Seitaro Nomura
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Department of Frontier Cardiovascular Science, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
| | - Yukari Uemura
- Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Kenji Onoue
- Department of Cardiovascular Medicine, Nara Medical University, Kashihara, Japan
| | - Momoko Hamano
- Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
| | - Manami Katoh
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Shintaro Yamada
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Mikako Katagiri
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Bo Zhang
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Satoshi Hatsuse
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Takanobu Yamada
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Shunsuke Inoue
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masayuki Kubota
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Kosuke Sawami
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Tuolisi Heryed
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masamichi Ito
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Eisuke Amiya
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Department of Therapeutic Strategy for Heart Failure, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masaru Hatano
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Advanced Medical Center for Heart Failure, University of Tokyo Hospital, Tokyo, Japan
| | - Norifumi Takeda
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Hiroyuki Morita
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Yoshihiro Yamanishi
- Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan; Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Nagoya, Japan
| | - Yoshihiko Saito
- Department of Cardiovascular Medicine, Nara Medical University, Kashihara, Japan; Nara Prefectural Seiwa Medical Center, Nara Prefectural Hospital Organization, Nara, Japan
| | - Issei Komuro
- Department of Cardiovascular Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Department of Frontier Cardiovascular Science, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; International University of Health and Welfare, Tokyo, Japan.
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20
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Narapakdeesakul D, Kaewparuehaschai M, Thongsahuan S, Lekcharoen P, Pengsakul T, Pattaradilokrat S, Kaewthamasorn M. Multi-locus sequence analysis of 'Candidatus Mycoplasma haematomacacae' in free-ranging macaques from Thailand suggestive of a closer relationship to hemotropic mycoplasmas in capuchins and potential origin from bats. Acta Trop 2024; 252:107156. [PMID: 38387771 DOI: 10.1016/j.actatropica.2024.107156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/01/2024] [Accepted: 02/19/2024] [Indexed: 02/24/2024]
Abstract
Although 'Candidatus Mycoplasma haematomacacae' (formerly known as 'Candidatus Mycoplasma haemomacaque') has been reported on extensively in macaques from Thailand, the USA, Japan, and Brazil, its genetic characterization has primarily been restricted to the 16S rRNA sequences with no exploration on multi-locus sequence analysis. The primary goal of this study was to characterize 'Ca. M. haematomacacae' among Thai macaques based on multiple genetic markers. Between April 2018 and November 2021, blood samples were taken from 580 free-ranging macaques (560 Macaca fascicularis and 20 Macaca nemestrina) in 15 locations encompassing 10 provinces throughout Thailand. Using the conventional PCR assay targeting the 16S ribosomal RNA (16S rRNA) gene, 338 out of 580 macaques (58.27 %) tested hemoplasma-positive. Of these, 40 positive samples were further subjected to DNA sequencing, and all were identified as 'Ca. M. haematomacacae'. Subsequently, the partial nucleotide sequences of 23S ribosomal RNA (23S rRNA) and RNase P RNA (rnpB) genes of this particular hemoplasma species were amplified through nested PCR assay. The analysis of multi-locus genetic markers revealed that the 23S rRNA and rnpB sequences exhibited higher levels of genetic diversity than the 16S rRNA sequences. Furthermore, the 16S rRNA analyses demonstrated that 'Ca. M. haematomacacae' infecting Old World monkeys (Macaca spp.) was most closely related to hemotropic Mycoplasma spp. in black-capped capuchins (Sapajus apella) and Marcgrave's capuchins (Sapajus flavius) from Brazil, as well as establishing a common ancestor clade with hemotropic Mycoplasma spp. from the Neotropical bats in Belize and Peru and an Old World bat in Spain. The 23S rRNA analyses likewise evidenced that 'Ca. M. haematomacacae' formed a sister clade with hemotropic Mycoplasma spp. in Neotropical bats from Belize and Panama. Thus, the present findings, based on multi-locus sequence analysis, suggest a potential origin of 'Ca. M. haematomacacae' from Neotropical and Old World bats. To the best of the authors' knowledge, this study provided the largest dataset so far of multi-locus genetic sequences of 'Ca. M. haematomacacae' isolated from Thai macaques and enhanced the accuracy of phylogenetic analyses, providing insights into their origins among hemotropic Mycoplasma spp. discovered worldwide.
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Affiliation(s)
- Duriyang Narapakdeesakul
- Veterinary Pathobiology Graduate Program, Department of Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand; Veterinary Parasitology Research Unit, Department of Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | | | - Salintorn Thongsahuan
- Department of National Parks, Wildlife and Plant Conservation, Bangkok 10900, Thailand
| | - Paisin Lekcharoen
- Veterinary Public Health Graduate Program, Department of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Theerakamol Pengsakul
- Health and Environmental Research Center, Faculty of Environmental Management, Prince of Songkla University, Songkhla 90110, Thailand
| | | | - Morakot Kaewthamasorn
- Veterinary Parasitology Research Unit, Department of Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand.
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21
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Upadhyay S, Das K, Ghosal A, Saito-Nakano Y, Dutta S, Nozaki T, Ganguly S. Short tandem repeat (STR) based sequence typing of Entamoeba histolytica identifies S TGA-D locus as a genetic marker, associated with disease outcomes. Parasitol Int 2024; 99:102846. [PMID: 38110172 DOI: 10.1016/j.parint.2023.102846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 12/20/2023]
Abstract
Amoebiasis, caused by the enteric parasite Entamoeba histolytica has differential disease outcomes. The association of parasite genotypes with outcomes of amoebic infection is still a paradox and requires to be explored. The genetic information of infecting strains from endemic settings of different geographical regions is essential to evaluate the relation. Comparative genetics of E. histolytica clinical isolates from different disease outcomes have been explored based on two tRNA-linked STR loci (STGA-D and A-L). All of the repeat patterns in the A-L locus were newly identified and unique to Indian isolates. The majority of newly identified repeat patterns in STGA-D locus have outcome-specific distributions, predicting the emergence of disease-specific mutations in this target locus. Statistical analysis further reinforces this observation, as identified repeat patterns only from STGA-D but not A-L locus were significantly associated with disease outcomes. Phylogenetic analysis indicates independent segregation and divergence of tRNA-linked STR arrays for each STR locus.
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Affiliation(s)
- Shashi Upadhyay
- Department of Allied Health Sciences, School of Health Science and Technology, University of Petroleum and Energy Studies, Dehradun 248007, India
| | - Koushik Das
- Division of Parasitology, ICMR-National Institute of Cholera and Enteric Diseases (ICMR-NICED), Kolkata 700010, India.
| | - Ajanta Ghosal
- Division of Parasitology, ICMR-National Institute of Cholera and Enteric Diseases (ICMR-NICED), Kolkata 700010, India
| | - Yumiko Saito-Nakano
- Department of Parasitology, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
| | - Shanta Dutta
- Division of Bacteriology, ICMR-National Institute of Cholera and Enteric Diseases (ICMR-NICED), Kolkata 700010, India
| | - Tomoyoshi Nozaki
- Department of Biomedical Chemistry, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
| | - Sandipan Ganguly
- Division of Parasitology, ICMR-National Institute of Cholera and Enteric Diseases (ICMR-NICED), Kolkata 700010, India.
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Bozack AK, Navas-Acien A, Cardenas A. DNA Methylation-Based Biomarkers of Protein Levels and Cardiovascular Disease Risk: Opportunities and Challenges for Precision Cardiology. Circ Genom Precis Med 2024; 17:e004571. [PMID: 38348680 PMCID: PMC11021153 DOI: 10.1161/circgen.124.004571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Affiliation(s)
- Anne K Bozack
- Department of Epidemiology and Population Health (A.K.B., A.C.), Stanford University School of Medicine, CA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY (A.N.-A.)
| | - Andres Cardenas
- Department of Epidemiology and Population Health (A.K.B., A.C.), Stanford University School of Medicine, CA
- Department of Pediatrics (A.C.), Stanford University School of Medicine, CA
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Starlinger J, Santol J, Kaiser G, Sarahrudi K. Close negative correlation of local and circulating Dickkopf-1 and Sclerostin levels during human fracture healing. Sci Rep 2024; 14:6524. [PMID: 38499638 PMCID: PMC10948769 DOI: 10.1038/s41598-024-55756-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 02/27/2024] [Indexed: 03/20/2024] Open
Abstract
Wnt signaling is critically involved in fracture healing. Existing data predominantly relies on rodent models. Here, we explored local and circulating Dickkopf-1 (DKK1) levels in patients with respect to fracture healing and explore its association to sclerostin (SOST). 69 patients after surgical stabilization of long bone fractures of which six patients had impaired fracture healing were included in this study. Life-style and patient related factors with a known effect on DKK1 and SOST were recorded. DKK1 and SOST concentrations were measured using enzyme-linked immunosorbent assay (ELISA) at the fracture site and in circulation. DKK1 and SOST showed a close inverse correlation. In fracture hematoma and immediately after trauma DKK1 levels were significantly reduced while SOST levels were significantly increased, compared to healthy control. Postoperatively, DKK1 peaked at week 2 and SOST at week 8, again demonstrating a close negative correlation. Age and smoking status affected the balance of DKK1 and SOST, while type 2 diabetes and sex did not demonstrate a significant influence. Early postoperative elevation of SOST without compensatory DKK1 decrease was associated with fracture non-union in younger patients (< 50a). The close inverse correlation and very rapid dynamics of DKK1 and SOST locally as well as systemically suggest their critical involvement during human fracture healing. Importantly, as immediate compensatory feedback mechanism are apparent, we provide evidence that dual-blockade of DKK1 and SOST could be critical to allow for therapeutic efficiency of Wnt targeted therapies for fracture healing.
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Affiliation(s)
- Julia Starlinger
- Department of Orthopedics and Trauma-Surgery, General Hospital Vienna, Medical University Vienna, Vienna, Austria.
| | - Jonas Santol
- Department of Orthopedics and Trauma-Surgery, General Hospital Vienna, Medical University Vienna, Vienna, Austria
- Department of Surgery, HPB Center, Viennese Health Network, Clinic Favoriten, Sigmund Freud Private University, Vienna, Austria
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Georg Kaiser
- Department of Orthopedics and Trauma-Surgery, General Hospital Vienna, Medical University Vienna, Vienna, Austria
| | - Kambiz Sarahrudi
- Department of Orthopedics and Trauma-Surgery, General Hospital Vienna, Medical University Vienna, Vienna, Austria
- Department for Trauma Surgery, Wiener Neustadt Regional Hospital, Wiener Neustadt, Austria
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24
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Ma Z, Wang W, Zhang D, Zhang Y, Zhao Y, Li X, Zhao L, Cheng J, Xu D, Yang X, Liu J, He L, Chen Z, Gong P, Zhang X. Polymorphisms of PLIN1 and MOGAT1 genes and their association with feed efficiency in Hu sheep. Gene 2024; 897:148072. [PMID: 38081333 DOI: 10.1016/j.gene.2023.148072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/22/2023] [Accepted: 12/08/2023] [Indexed: 12/21/2023]
Abstract
Feed cost accounts for a high proportion of sheep production, and improving sheep's utilization of feed will reduce production costs and improve economic benefits. The purpose of this study was to investigate the expression characteristics of PLIN1 and MOGAT1 genes and the relationship between their polymorphisms and feed efficiency traits in Hu sheep, and to find molecular Genetic marker that can be used in breeding. The expression levels of PLIN1 and MOGAT1 genes in various tissues were determined using quantitative real-time PCR (qRT-PCR). The results showed that PLIN1 and MOGAT1 genes were widely expressed in heart, liver, spleen, lungs, kidneys, rumen, duodenum, muscle, lymph, and tail fat. The PLIN1 gene had the highest expression level in in the tail fat compared to the other nine tissues. The expression levels of MOGAT1 gene in liver, tail fat, lung and heart was significantly higher than in kidney, muscle and lymph. The expression level of MOGAT1 was lowest in muscle compared to the other tissues (heart, liver, spleen, lung, rumen and tail fat). We recorded the body weight (BW80 and BW180) and feed intake (FI) information of 985 male Hu sheep at 80 and 180 days of age, and calculated the daily average feed intake (ADFI), average daily gain (ADG), and feed conversion rate (FCR) from 80 to 180 days of age. Two intronic mutations, g.18517910 A > G and g.224856118 G > C, were identified in PLIN1 and MOGAT1 genes by PCR amplification and Sanger sequencing. MassARRAY ® SNP detection technology was used to genotype the DNA of 985 Hu sheep and analyze its association with feed efficiency traits. The results showed that the SNP g.18517910 A > G was significantly associated with BW80, BW180, FI, ADFI and FCR (P < 0.05), while SNP g.2248561118 G > C was significantly associated with FCR (P < 0.05). Meanwhile, significant differences were also observed in different combinations of genotypes (P < 0.05). Therefore, these two polymorphic loci can serve as candidate molecular markers for improving feed utilization efficiency in Hu sheep.
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Affiliation(s)
- Zongwu Ma
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Weimin Wang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Deyin Zhang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Yukun Zhang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Yuan Zhao
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Xiaolong Li
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Liming Zhao
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Jiangbo Cheng
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Dan Xu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Xiaobin Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Jia Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Lijuan He
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Zhanyu Chen
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Ping Gong
- Institute of Animal Husbandry Quality Standards, Xinjiang Academy of Animal Science, Urumqi, 830057, China.
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
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Wang J, Sun M, Liu X, Yan Q, Gao Q, Ni K, Yang J, Zhang S, Zhang C, Shan C. Transcriptome analysis identifies genetic risk markers and explores the pathogenesis for inflammatory bowel disease. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167013. [PMID: 38199515 DOI: 10.1016/j.bbadis.2023.167013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 11/30/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024]
Abstract
Inflammatory bowel disease (IBD) is an incurable and disabling bowel disease driven by multiple risk factors that severely limit patients' quality of life. We integrated the RNA-sequencing data of 1238 IBD patients, and investigated the pathogenesis of IBD by combining transcriptional element prediction analysis and immune-related analysis. Here, we first determined that KIAA1109 is inhibited in IBD patients. The expression of KIAA1109 and NOD2, the key receptor of NOD-like receptors, showed a negative correlation. The NOD-like receptor signaling pathway is activated and exerts transcriptional regulation on the chemokines CXCL1 and CXCL2 through the activation of the transcription factors NFκB and AP1. Analysis of immune infiltration revealed that the expression of chemokines CXCL1 and CXCL2 may regulate the inflammatory response induced by immune cells. These findings suggest that the KIAA1109-NOD2-NFκB/AP1-CXCL1/CXCL2 regulatory axis is the molecular mechanism of IBD pathogenesis, which will provide a new perspective for the diagnosis, treatment and management of IBD patients.
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Affiliation(s)
- Jiyan Wang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Mingming Sun
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Xu Liu
- Endoscopy Center, Tianjin Union Medical Center, Tianjin 300121, China
| | - Qi Yan
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Qingle Gao
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Kemin Ni
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin 300121, China
| | - Juze Yang
- Department of Respiratory Medicine, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310016, Zhejiang, China
| | - Shuai Zhang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Chunze Zhang
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin 300121, China; Tianjin Institute of Coloproctology, Tianjin 300121, China.
| | - Changliang Shan
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China.
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Gupta V, Birla S, Varshney T, Somarajan BI, Gupta S, Gupta M, Panigrahi A, Singh A, Gupta D. In vivo identification of angle dysgenesis and its relation to genetic markers associated with glaucoma using artificial intelligence. Indian J Ophthalmol 2024; 72:339-346. [PMID: 38146977 PMCID: PMC11001234 DOI: 10.4103/ijo.ijo_1456_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 08/18/2023] [Accepted: 10/06/2023] [Indexed: 12/27/2023] Open
Abstract
PURPOSE To predict the presence of angle dysgenesis on anterior-segment optical coherence tomography (ADoA) by using deep learning (DL) and to correlate ADoA with mutations in known glaucoma genes. PARTICIPANTS In total, 800 high-definition anterior-segment optical coherence tomography (AS-OCT) images were included, of which 340 images were used to build the machine learning (ML) model. Images used to build the ML model included 170 scans of primary congenital glaucoma (16 patients), juvenile-onset open-angle glaucoma (62 patients), and adult-onset primary open-angle glaucoma eyes (37 patients); the rest were controls (n = 85). The genetic validation dataset consisted of another 393 images of patients with known mutations that were compared with 320 images of healthy controls. METHODS ADoA was defined as the absence of Schlemm's canal, the presence of hyperreflectivity over the region of the trabecular meshwork, or a hyperreflective membrane. DL was used to classify a given AS-OCT image as either having angle dysgenesis or not. ADoA was then specifically looked for on AS-OCT images of patients with mutations in the known genes for glaucoma. RESULTS The final prediction, which was a consensus-based outcome from the three optimized DL models, had an accuracy of >95%, a specificity of >97%, and a sensitivity of >96% in detecting ADoA in the internal test dataset. Among the patients with known gene mutations, ( MYOC, CYP1B1, FOXC1, and LTBP2 ) ADoA was observed among all the patients in the majority of the images, compared to only 5% of the healthy controls. CONCLUSION ADoA can be objectively identified using models built with DL.
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Affiliation(s)
- Viney Gupta
- Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Shweta Birla
- Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Jawaharlal Nehru University, New Delhi, India
| | - Toshit Varshney
- Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Bindu I Somarajan
- Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Shikha Gupta
- Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Mrinalini Gupta
- Department of Biomedical Engineering Technical University of Munich, Munich, Germany
| | - Arnav Panigrahi
- Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Abhishek Singh
- Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Dinesh Gupta
- Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Jawaharlal Nehru University, New Delhi, India
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Adamopoulos PG, Diamantopoulos MA, Boti MA, Zafeiriadou A, Galani A, Kostakis M, Markou A, Sideris DC, Avgeris M, Thomaidis NS, Scorilas A. Spike-Seq: An amplicon-based high-throughput sequencing approach for the sensitive detection and characterization of SARS-CoV-2 genetic variations in environmental samples. Sci Total Environ 2024; 914:169747. [PMID: 38159750 DOI: 10.1016/j.scitotenv.2023.169747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 12/05/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
Ever since the outbreak of COVID-19 disease in Wuhan, China, different variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been identified. Wastewater-based epidemiology (WBE), an approach that has been successfully applied in numerous case studies worldwide, offers a cost-effective and rapid way for monitoring trends of SARS-Cov-2 in the community level without selection bias. Despite being a gold-standard procedure, WBE is a challenging approach due to the sample instability and the moderate efficiency of SARS-CoV-2 concentration in wastewater. In the present study, we introduce Spike-Seq, a custom amplicon-based approach for the S gene sequencing of SARS-CoV-2 in wastewater samples, which enables not only the accurate identification of the existing Spike-related genetic markers, but also the estimation of their frequency in the investigated samples. The implementation of Spike-Seq involves the combination of nested PCR-based assays that efficiently amplify the entire nucleotide sequence of the S gene and next-generation sequencing, which enables the variant detection and the estimation of their frequency. In the framework of the current work, Spike-Seq was performed to investigate the mutational profile of SARS-CoV-2 in samples from the Wastewater Treatment Plant (WWTP) of Athens, Greece, which originated from multiple timepoints, ranging from March 2021 until July 2022. Our findings demonstrate that Spike-Seq efficiently detected major genetic markers of B.1.1.7 (Alpha), B.1.617.2 (Delta) as well as B.1.1.529 (Omicron) variants in wastewater samples and provided their frequency levels, showing similar variant distributions with the published clinical data from the National Public Health organization. The presented approach can prove to be a useful tool for the detection of SARS-CoV-2 in challenging wastewater samples and the identification of the existing genetic variants of S gene.
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Affiliation(s)
- Panagiotis G Adamopoulos
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Marios A Diamantopoulos
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Michaela A Boti
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Zafeiriadou
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Greece
| | - Aikaterini Galani
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Greece
| | - Marios Kostakis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Greece
| | - Athina Markou
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Greece
| | - Diamantis C Sideris
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Margaritis Avgeris
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece; Laboratory of Clinical Biochemistry and Molecular Diagnostics, Second Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Greece
| | - Nikolaos S Thomaidis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Greece
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece.
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Dias HC, Manco L. Predicting age from blood by droplet digital PCR using a set of three DNA methylation markers. Forensic Sci Int 2024; 356:111950. [PMID: 38301433 DOI: 10.1016/j.forsciint.2024.111950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 01/02/2024] [Accepted: 01/25/2024] [Indexed: 02/03/2024]
Abstract
Evaluation of DNA methylation (DNAm) patterns is a promising tool for age estimation. The duplex droplet digital PCR (ddPCR) method has been recently investigated for DNAm evaluation, revealing to be a potential methodology for DNAm evaluation and molecular age estimation. In this study, we evaluated DNAm levels of CpGs located at the three age-associated genes ELOVL2, FHL2 and PDE4C using ddPCR to develop an age prediction model. Blood-derived DNA samples from 58 healthy individuals (42 women and 16 men; aged 1-93 years old) were submitted to bisulfite conversion followed by ddPCR using dual-labeled probes targeting methylated and unmethylated DNA sequences. Simple linear regression statistics revealed a strong correlation between DNAm levels and chronological age for FHL2 (R = 0.948; P = 1.472 × 10-29) and PDE4C (R = 0.819; P = 3.917 × 10-15), addressing only one CpG for each gene. For the ELOVL2 gene, evaluating five CpG sites in simultaneous, revealed a strong age correlation (R = 0.887; P = 2.099 × 10-20) in a simple linear regression statistics and very strong age correlation (R = 0.926; P = 2.202 × 10-25) when using quadratic regression statistics. The multivariable regression analysis, using methylation information captured on ELOVL2 (squared), FHL2 and PDE4C genes, revealed a very strong age correlation (R = 0.970; P = 5.356 ×10-33), explaining 93.7 % of age variance, displaying a mean absolute deviation (MAD) between chronological and predicted age of 4.657 years (RMSE = 6.044). We postulate that the ddPCR method should be further investigated for DNAm-based age prediction, because it is a relatively simple and an accurate method that can be routinely used in forensic laboratories for testing a few numbers of markers.
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Affiliation(s)
- Helena Correia Dias
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, 3000-456 Coimbra, Portugal
| | - Licínio Manco
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, 3000-456 Coimbra, Portugal; Department of Life Sciences, University of Coimbra, 3000-456 Coimbra, Portugal.
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Wang S, Jiang T, Yuan C, Wu L, Zhen X, Lei Y, Xie B, Tao R, Li C. An mRNA profiling assay incorporating coding region InDels for body fluid identification and the inference of the donor in mixed samples. Forensic Sci Int Genet 2024; 69:102979. [PMID: 38043150 DOI: 10.1016/j.fsigen.2023.102979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/23/2023] [Accepted: 11/23/2023] [Indexed: 12/05/2023]
Abstract
Biological traces discovered at crime scenes hold significant significance in forensic investigations. In cases involving mixed body fluid stains, the evidentiary value of DNA profiles depends on the type of body fluid from which the DNA was obtained. Recently, coding region polymorphism analysis has proved to be a promising method for directly linking specific body fluids to their respective DNA contributors in mixtures, which may help to avoid "association fallacy" between separate DNA and RNA evidence. In this study, we present an update on previously reported coding region Single Nucleotide Polymorphisms (cSNPs) by exploring the potential application of coding region Insertion/Deletion polymorphisms (cInDels). Nine promising cInDels, selected from 70 mRNA markers based on stringent screening criteria, were integrated into an existing mRNA profiling assay. Subsequently, the body fluid specificity of our cInDel assay and the genotyping consistency between complementary DNA (cDNA) and genomic DNA (gDNA) were examined. Our study demonstrates that cInDels can function as important multifunctional genetic markers, as they provide not only the ability to confirm the presence of forensically relevant body fluids, but also the ability to associate/dissociate specific body fluids with particular donors.
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Affiliation(s)
- Shouyu Wang
- Department of Forensic Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Tingting Jiang
- Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China
| | - Chunyan Yuan
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, PR China, Shanghai 200063, China
| | - Liming Wu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, PR China, Shanghai 200063, China
| | - Xiaoyuan Zhen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, PR China, Shanghai 200063, China
| | - Yinlei Lei
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, PR China, Shanghai 200063, China
| | - Baoyan Xie
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, PR China, Shanghai 200063, China
| | - Ruiyang Tao
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, PR China, Shanghai 200063, China.
| | - Chengtao Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Sciences, Ministry of Justice, PR China, Shanghai 200063, China; Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.
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Nicolosi Gelis MM, Canino A, Bouchez A, Domaizon I, Laplace-Treyture C, Rimet F, Alric B. Assessing the relevance of DNA metabarcoding compared to morphological identification for lake phytoplankton monitoring. Sci Total Environ 2024; 914:169774. [PMID: 38215838 DOI: 10.1016/j.scitotenv.2023.169774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 12/08/2023] [Accepted: 12/28/2023] [Indexed: 01/14/2024]
Abstract
Phytoplankton is a key biological group used to assess the ecological status of lakes. The classical monitoring approach relies on microscopic identification and counting of phytoplankton species, which is time-consuming and requires high taxonomic expertise. High-throughput sequencing, combined with metabarcoding, has recently demonstrated its potential as an alternative approach for plankton surveys. Several studies have confirmed the relevance of the diatom metabarcoding approach to calculate biotic indices based on species ecology. However, phytoplankton communities have not yet benefited from such validation. Here, by comparing the results obtained with the two methods (molecular and microscopic counting), we evaluated the relevance of metabarcoding approach for phytoplankton monitoring by considering different metrics: alpha diversity, taxonomic composition, community structure and a phytoplankton biotic index used to assess the trophic level of lakes. For this purpose, 55 samples were collected in four large alpine lakes (Aiguebelette, Annecy, Bourget, Geneva) during the year 2021. For each sample, a metabarcoding analysis based on two genetic markers (16S and 23S rRNA) was performed, in addition to the microscopic count. Regarding the trophic level of lakes, significant differences were found between index values obtained with the two approaches. The main hypothesis to explain these differences comes from the incompleteness, particularly at the species level, of the barcode reference library for the two genetic markers. It is therefore necessary to complete reference libraries for using such species-based biotic indices with metabarcoding data. Besides this, species richness and diversity were higher in the molecular inventories than in the microscopic ones. Moreover, despite differences in taxonomic composition of the floristic lists obtained by the two approaches, their community structures were similar. These results support the possibility of using metabarcoding for phytoplankton monitoring but in a different way. We suggest exploring alternative approaches to index development, such as a taxonomy-free approach.
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Affiliation(s)
- Maria Mercedes Nicolosi Gelis
- Instituto de Limnología Dr. Raúl A. Ringuelet, CONICET-UNLP, Argentina; UMR CARRTEL, INRAE, Université Savoie Mont Blanc, 75bis av. De Corzent - CS 50511, FR - 74203 Thonon-les-Bains cedex, France; Pole R&D ECLA Ecosystèmes Lacustres, France
| | - Alexis Canino
- UMR CARRTEL, INRAE, Université Savoie Mont Blanc, 75bis av. De Corzent - CS 50511, FR - 74203 Thonon-les-Bains cedex, France; Pole R&D ECLA Ecosystèmes Lacustres, France
| | - Agnès Bouchez
- UMR CARRTEL, INRAE, Université Savoie Mont Blanc, 75bis av. De Corzent - CS 50511, FR - 74203 Thonon-les-Bains cedex, France; Pole R&D ECLA Ecosystèmes Lacustres, France
| | - Isabelle Domaizon
- UMR CARRTEL, INRAE, Université Savoie Mont Blanc, 75bis av. De Corzent - CS 50511, FR - 74203 Thonon-les-Bains cedex, France; Pole R&D ECLA Ecosystèmes Lacustres, France
| | - Christophe Laplace-Treyture
- Pole R&D ECLA Ecosystèmes Lacustres, France; UR EABX, INRAE, 50 avenue de Verdun, FR - 33612 Cestas cedex, France
| | - Frédéric Rimet
- UMR CARRTEL, INRAE, Université Savoie Mont Blanc, 75bis av. De Corzent - CS 50511, FR - 74203 Thonon-les-Bains cedex, France; Pole R&D ECLA Ecosystèmes Lacustres, France
| | - Benjamin Alric
- UMR CARRTEL, INRAE, Université Savoie Mont Blanc, 75bis av. De Corzent - CS 50511, FR - 74203 Thonon-les-Bains cedex, France; Pole R&D ECLA Ecosystèmes Lacustres, France.
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Bassi FM, Sanchez-Garcia M, Ortiz R. What plant breeding may (and may not) look like in 2050? Plant Genome 2024; 17:e20368. [PMID: 37455348 DOI: 10.1002/tpg2.20368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 06/23/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023]
Abstract
At the turn of 2000 many authors envisioned future plant breeding. Twenty years after, which of those authors' visions became reality or not, and which ones may become so in the years to come. After two decades of debates, climate change is a "certainty," food systems shifted from maximizing farm production to reducing environmental impact, and hopes placed into GMOs are mitigated by their low appreciation by consumers. We revise herein how plant breeding may raise or reduce genetic gains based on the breeder's equation. "Accuracy of Selection" has significantly improved by many experimental-scale field and laboratory implements, but also by vulgarizing statistical models, and integrating DNA markers into selection. Pre-breeding has really promoted the increase of useful "Genetic Variance." Shortening "Recycling Time" has seen great progression, to the point that achieving a denominator equal to "1" is becoming a possibility. Maintaining high "Selection Intensity" remains the biggest challenge, since adding any technology results in a higher cost per progeny, despite the steady reduction in cost per datapoint. Furthermore, the concepts of variety and seed enterprise might change with the advent of cheaper genomic tools to monitor their use and the promotion of participatory or citizen science. The technological and societal changes influence the new generation of plant breeders, moving them further away from field work, emphasizing instead the use of genomic-based selection methods relying on big data. We envisage what skills plant breeders of tomorrow might need to address challenges, and whether their time in the field may dwindle.
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Affiliation(s)
- Filippo M Bassi
- International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco
| | - Miguel Sanchez-Garcia
- International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco
| | - Rodomiro Ortiz
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
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Yamagishi T, Sakurai W, Watanabe K, Toyomane K, Akutsu T. Development and comparison of forensic interval age prediction models by statistical and machine learning methods based on the methylation rates of ELOVL2 in blood DNA. Forensic Sci Int Genet 2024; 69:103004. [PMID: 38160598 DOI: 10.1016/j.fsigen.2023.103004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 12/06/2023] [Accepted: 12/18/2023] [Indexed: 01/03/2024]
Abstract
Age estimation can be useful information for narrowing down candidates of unidentified donors in criminal investigations. Various age estimation models based on DNA methylation biomarkers have been developed for forensic usage in the past decade. However, many of these models using ordinary least squares regression cannot generate an appropriate estimation due to the deterioration in prediction accuracy caused by an increased prediction error in older age groups. In the present study, to address this problem, we developed age estimation models that set an appropriate prediction interval for all age groups by two approaches: a statistical method using quantile regression (QR) and a machine learning method using an artificial neural network (ANN). Methylation datasets (n = 1280, age 0-91 years) of the promoter for the gene encoding ELOVL fatty acid elongase 2 were used to develop the QR and ANN models. By validation using several test datasets, both models were shown to enlarge prediction intervals in accordance with aging and have a high level of correct prediction (>90 %) for older age groups. The QR and ANN models also generated a point age prediction with high accuracy. The ANN model enabled a prediction with a mean absolute error (MAE) of 5.3 years and root mean square error (RMSE) of 7.3 years for the test dataset (n = 549), which were comparable to those of the QR model (MAE = 5.6 years, RMSE = 7.8 years). Their applicability to casework was also confirmed using bloodstain samples stored for various periods of time (1-14 years), indicating the stability of the models for aged bloodstain samples. From these results, it was considered that the proposed models can provide more useful and effective age estimation in forensic settings.
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Affiliation(s)
- Takayuki Yamagishi
- National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan.
| | - Wataru Sakurai
- National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan
| | - Ken Watanabe
- National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan
| | - Kochi Toyomane
- National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan
| | - Tomoko Akutsu
- National Research Institute of Police Science, 6-3-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan
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Bojarczuk A, Egorova ES, Dzitkowska-Zabielska M, Ahmetov II. Genetics of Exercise and Diet-Induced Fat Loss Efficiency: A Systematic Review. J Sports Sci Med 2024; 23:236-257. [PMID: 38455434 PMCID: PMC10915602 DOI: 10.52082/jssm.2024.236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 02/21/2024] [Indexed: 03/09/2024]
Abstract
Physical exercise and dieting are well-known and effective methods for fat loss and improving cardiovascular health. However, different individuals often react differently to the same exercise regimen or dietary plan. While specific individuals may undergo substantial fat loss, others may observe only limited effects. A wide range of inter-individual variability in weight gain and changes in body composition induced by physical exercises and diets led to an investigation into the genetic factors that may contribute to the individual variations in such responses. This systematic review aimed at identifying the genetic markers associated with fat loss resulting from diet or exercise. A search of the current literature was performed using the PubMed database. Forty-seven articles met the inclusion criteria when assessing genetic markers associated with weight loss efficiency in response to different types of exercises and diets. Overall, we identified 30 genetic markers of fat-loss efficiency in response to different kinds of diets and 24 in response to exercise. Most studies (n = 46) used the candidate gene approach. We should aspire to the customized selection of exercise and dietary plans for each individual to prevent and treat obesity.
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Affiliation(s)
- Aleksandra Bojarczuk
- Faculty of Physical Culture, Gdansk University of Physical Education and Sport, Gdansk, Poland
| | - Emiliya S Egorova
- Laboratory of Genetics of Aging and Longevity, Kazan State Medical University, Kazan, Russia
| | | | - Ildus I Ahmetov
- Laboratory of Genetics of Aging and Longevity, Kazan State Medical University, Kazan, Russia
- Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, St. Petersburg, Russia
- Center for Phygital Education and Innovative Sports Technologies, Plekhanov Russian University of Economics, Moscow, Russia
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
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Rothe J, Becker JM, Charchinezhadamouei M, Mähr S, Lembeck F, Dannemann N, Nagy M. Expanding the scope of methylation-sensitive restriction enzyme (MSRE) PCR for forensic identification of body fluids through the novel use of methylation-dependent restriction enzymes (MDRE) and the combination of autosomal and Y-chromosomal markers. Int J Legal Med 2024; 138:375-393. [PMID: 37875742 PMCID: PMC10861701 DOI: 10.1007/s00414-023-03097-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 09/21/2023] [Indexed: 10/26/2023]
Abstract
Methylation-sensitive/-dependent restriction enzyme (MSRE/MDRE) PCR can be performed to detect hypomethylated or hypermethylated CpG sites. With the combined use of different tissue-specific CpG markers, MSRE/MDRE-PCR leads to tissue-specific methylation patterns (TSMPs), enabling the correlation of DNA samples to their source tissue. MSRE/MDRE assays can use the same platform as forensic STR typing and offer many advantages in the field of forensic body fluid detection. In the present study, we aimed to establish MSRE assays for the detection of blood, saliva, vaginal secretion, and semen, using markers from literature and from our own database search. We designed two different MSRE test-sets, which include two novel Y-chromosomal non-semen markers, and enable differentiation between female and male non-semen samples. Furthermore, we established an MSRE/MDRE semen approach, which includes only Y-chromosomal non-semen and semen markers. This Y-semen multiplex PCR utilizes the novel combination of the methylation-sensitive enzyme SmaI and the methylation-dependent enzyme GlaI, which enables more sensitive detection of male body fluids within male/female DNA mixtures. Our validation tests confirmed that MSRE/MDRE assays exhibit high sensitivity, similar to that of STR typing.
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Affiliation(s)
- Jessica Rothe
- Department of Forensic Genetics, Institute of Legal Medicine and Forensic Sciences, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
| | - Jessica Maria Becker
- Department of Forensic Genetics, Institute of Legal Medicine and Forensic Sciences, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Maral Charchinezhadamouei
- Department of Forensic Genetics, Institute of Legal Medicine and Forensic Sciences, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Sophia Mähr
- Department of Forensic Genetics, Institute of Legal Medicine and Forensic Sciences, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Felizitas Lembeck
- Department of Forensic Genetics, Institute of Legal Medicine and Forensic Sciences, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Nora Dannemann
- Department of Forensic Genetics, Institute of Legal Medicine and Forensic Sciences, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Marion Nagy
- Department of Forensic Genetics, Institute of Legal Medicine and Forensic Sciences, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
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AbdElneam AI, Al‐Dhubaibi MS, Bahaj SS, Alhetheli G. MiR-200c-3p as a novel genetic marker and therapeutic tool for alopecia areata. Skin Res Technol 2024; 30:e13639. [PMID: 38454571 PMCID: PMC10920991 DOI: 10.1111/srt.13639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 02/19/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND MicroRNAs (miRNAs) are small RNA molecules that regulate gene expression in diverse biological processes. They hold promise as therapeutic candidates for targeting human disease pathways, although our understanding of their gene regulatory mechanism remains incomplete. Alopecia areata (AA) is a prevalent inflammatory ailment distinguished by the infiltration of T cells targeting the anagen-stage hair follicles. The scarcity of effective remedies for AA may stem from limited understanding regarding its precise cellular mechanism. AIM To investigate and examine the importance and role of the miR-200c-3p as a genetic indicator for AA, and its possible impact on disease progression. SUBJECTS AND METHODS Case-control study included 65 patients with AA and 65 matched healthy controls. A real-time PCR technique was used to measure the expression of miR-200c-3p for both groups. Bioinformatic tools were used for prediction with genes and gene-gene interaction, and protein-protein interaction. RESULTS The expression levels of miR-200c-3p were significantly higher in AA patients than in healthy controls. We predicted that miR-200c-3p plays a markable role in the development of AA by its effect on the EGFR tyrosine kinase inhibitor resistance pathway. CONCLUSION We were able to identify the influence of miR-200c-3p on both PLCG1 and RPS6KP1 genes which in turn regulate the EGFR tyrosine kinases resistance pathway that displayed the most substantial increase in activity. Our outcomes shed light on the era of the potential theranostic role of this innovative miRNA in AA.
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Affiliation(s)
- Ahmed Ibrahim AbdElneam
- Department of Clinical BiochemistryDepartment of Basic Medical SciencesCollege of MedicineShaqra UniversityDawadmiSaudi Arabia
- Molecular Genetics and Enzymology DepartmentHuman Genetics and Genome Research InstituteNational Research CenterDokki, CairoEgypt
| | | | - Saleh Salem Bahaj
- Department of Microbiology and ImmunologyFaculty of Medicine and Health SciencesSana'a UniversitySanaaYemen
| | - Ghadah Alhetheli
- Divisions of Dermatology and Cutaneous SurgeryCollege of MedicineQassim UniversityBuraydahSaudi Arabia
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Yahya D, Hachmeriyan M, Ruseva T, Chervenkov T, Micheva I. MLPA in the initial genetic screening of patients with acute myeloid leukemia. Rom J Intern Med 2024; 62:44-51. [PMID: 37948316 DOI: 10.2478/rjim-2023-0027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Indexed: 11/12/2023]
Abstract
INTRODUCTION This study aimed to assess the effectiveness of multiplex ligase-dependent probe amplification (MLPA) in the initial genetic screening of patients with acute myeloid leukemia (AML) since current risk stratification and clinical management depend on molecular-genetic markers. METHODS We performed a prospective case-control study on newly diagnosed patients from the Clinical hematology clinic of UMHAT "St. Marina", Varna, for the period 02.2022 - 02.2023. MLPA - a semiquantitative PCR-based method, was implemented with probes for 40 AML/myelodysplastic syndrome-typical genetic changes. We compared these findings with a parallelly carried out cytogenetic analysis, part of the routine diagnostic process. RESULTS We assessed 61 patients - 29 females and 32 males, median age of 61 years for females and 65 for males (min-max 20-89). 34 (56%) of all showed pathological results, while the rest 27 (44%) did not. Of the 34, 22 (65%) had a single gene variant in genes NPM1, DNMT3A, FLT3, and IDH2, isolated or in combination. 18 (53%) of the same 34 also had copy number aberration (CNA) in chromosomes 4, 5, 6, 7, 11, 14, 17, and 21. The latter were either isolated or in combination with other findings. 8 of the 18 cases also underwent cytogenetic analysis, with concordance between the two methods in 4. CONCLUSION MLPA is an informative method for initial genetic assessment in addition to cytogenetic analysis. Still, more patients are needed to draw finite conclusions on its eligibility for routine use. Given the significant percentage of normal results - 44%, simultaneous evaluation of more genetic markers, included in current guidelines, is reasonable.
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Affiliation(s)
- Dinnar Yahya
- Department of Medical Genetics, Faculty of Medicine, Medical University of Varna
- Laboratory of Medical Genetics, UMHAT St. Marina, Varna
| | - Mari Hachmeriyan
- Department of Medical Genetics, Faculty of Medicine, Medical University of Varna
- Laboratory of Medical Genetics, UMHAT St. Marina, Varna
| | - Tsanka Ruseva
- Laboratory of Medical Genetics, UMHAT St. Marina, Varna
| | - Trifon Chervenkov
- Department of Medical Genetics, Faculty of Medicine, Medical University of Varna
- Laboratory of Clinical Immunology, UMHAT St. Marina, Varna
| | - Ilina Micheva
- Faculty of Medicine, Medical University of Department of Internal Diseases, Varna
- Clinic of Hematology, UMHAT St. Marina, Varna
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Pidon H, Ruge-Wehling B, Will T, Habekuß A, Wendler N, Oldach K, Maasberg-Prelle A, Korzun V, Stein N. High-resolution mapping of Ryd4 Hb, a major resistance gene to Barley yellow dwarf virus from Hordeum bulbosum. Theor Appl Genet 2024; 137:60. [PMID: 38409375 PMCID: PMC10896957 DOI: 10.1007/s00122-024-04542-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/05/2024] [Indexed: 02/28/2024]
Abstract
KEY MESSAGE We mapped Ryd4Hb in a 66.5 kbp interval in barley and dissociated it from a sublethality factor. These results will enable a targeted selection of the resistance in barley breeding. Virus diseases are causing high yield losses in crops worldwide. The Barley yellow dwarf virus (BYDV) complex is responsible for one of the most widespread and economically important viral diseases of cereals. While no gene conferring complete resistance (immunity) has been uncovered in the primary gene pool of barley, sources of resistance were searched and identified in the wild relative Hordeum bulbosum, representing the secondary gene pool of barley. One such locus, Ryd4Hb, has been previously introgressed into barley, and was allocated to chromosome 3H, but is tightly linked to a sublethality factor that prevents the incorporation and utilization of Ryd4Hb in barley varieties. To solve this problem, we fine-mapped Ryd4Hb and separated it from this negative factor. We narrowed the Ryd4Hb locus to a corresponding 66.5 kbp physical interval in the barley 'Morex' reference genome. The region comprises a gene from the nucleotide-binding and leucine-rich repeat immune receptor family, typical of dominant virus resistance genes. The closest homolog to this Ryd4Hb candidate gene is the wheat Sr35 stem rust resistance gene. In addition to the fine mapping, we reduced the interval bearing the sublethality factor to 600 kbp in barley. Aphid feeding experiments demonstrated that Ryd4Hb provides a resistance to BYDV rather than to its vector. The presented results, including the high-throughput molecular markers, will permit a more targeted selection of the resistance in breeding, enabling the use of Ryd4Hb in barley varieties.
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Affiliation(s)
- Hélène Pidon
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany.
- IPSiM, Univ Montpellier, CNRS, INRAE, Institut Agro, Montpellier, France.
| | - Brigitte Ruge-Wehling
- Julius Kühn Institute (JKI)-Federal Research Centre for Cultivated Plants, Institute for Breeding Research on Agricultural Crops, Sanitz, Germany
| | - Torsten Will
- Julius Kühn Institute (JKI)-Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany
| | - Antje Habekuß
- Julius Kühn Institute (JKI)-Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany
| | | | | | | | | | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany.
- Center for Integrated Breeding Research (CiBreed), Georg-August University, Göttingen, Germany.
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刘 光渊. [Paterning identification of twins with differnet fathers using multiple genetic markers: A case report]. Fa Yi Xue Za Zhi 2024; 40:106-108. [PMID: 38500475 DOI: 10.12116/j.issn.1004-5619.2023.530702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
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Viinikainen J, Böckerman P, Willage B, Elovainio M, Kari JT, Lehtimäki T, Pehkonen J, Pitkänen N, Raitakari O. Effect of weight on depression using multiple genetic instruments. PLoS One 2024; 19:e0297594. [PMID: 38394117 PMCID: PMC10889664 DOI: 10.1371/journal.pone.0297594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 01/09/2024] [Indexed: 02/25/2024] Open
Abstract
A striking global health development over the past few decades has been the increasing prevalence of overweight and obesity. At the same time, depression has become increasingly common in almost all high-income countries. We investigated whether body weight, measured by body mass index (BMI), has a causal effect on depression symptoms in Finland. Using data drawn from the Cardiovascular Risk in Young Finns Study (N = 1,523, mean age 41.9, SD 5), we used linear regression to establish the relationship between BMI and depression symptoms measured by 21-item Beck's Depression Inventory. To identify causal relationships, we used the Mendelian randomization (MR) method with weighted sums of genetic markers (single nucleotide polymorphisms, SNPs) as instruments for BMI. We employ instruments (polygenic risk scores, PGSs) with varying number of SNPs that are associated with BMI to evaluate the sensitivity of our results to instrument strength. Based on linear regressions, higher BMI was associated with a higher prevalence of depression symptoms among females (b = 0.238, p = 0.000) and males (b = 0.117, p = 0.019). However, the MR results imply that the positive link applies only to females (b = 0.302, p = 0.007) but not to males (b = -0.070, p = 0.520). Poor instrument strength may explain why many previous studies that have utilized genetic instruments have been unable to identify a statistically significant link between BMI and depression-related traits. Although the number of genetic markers in the instrument had only a minor effect on the point estimates, the standard errors were much smaller when more powerful instruments were employed.
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Affiliation(s)
- Jutta Viinikainen
- Jyväskylä University School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
| | - Petri Böckerman
- Jyväskylä University School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
- Labour Institute for Economic Research LABORE, Helsinki, Finland
- IZA Institute of Labor Economics, Bonn, Germany
| | - Barton Willage
- Department of Economics, University of Colorado—Denver, Denver, Colorado, United States of America
| | - Marko Elovainio
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jaana T. Kari
- Jyväskylä University School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland
| | - Jaakko Pehkonen
- Jyväskylä University School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
| | - Niina Pitkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
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Verma SK, Kumar LK, Thumar M, Kumar TVC, Vedamurthy VG, Singh D, Onteru SK. A synonymous single nucleotide polymorphism (g.36417726C > A) in the Lama2 gene influencing fat deposition is associated with post-partum anestrus interval in Murrah buffalo. Gene 2024; 896:148032. [PMID: 38008271 DOI: 10.1016/j.gene.2023.148032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 11/08/2023] [Accepted: 11/22/2023] [Indexed: 11/28/2023]
Abstract
Postpartum absence of estrus exhibition known as postpartum anestrus interval (PPAI) for more than 90 days after calving is a concerning issue for dairy buffalo farmers' economy. The PPAI duration is influenced by both management practices and animal genetics. Investigating genetic markers associated with PPAI is crucial for incorporating them into marker-assisted selection programs. Towards this goal, our study focused on exploring potential genetic markers from early postpartum adipose tissue gene networks. We successfully identified 24 Single Nucleotide Polymorphisms (SNPs) within 9 candidate genes. In our initial analysis involving 100 buffaloes, we detected a significant association (P = 0.02267) between a specific synonymous SNP within the Lama2 gene (g.36417726C > A) and PPAI. This finding was subsequently validated (P = 0.02937) in a larger cohort of 415 buffaloes, where the SNP explained 1.36 % of the genetic variance. Intriguingly, buffaloes with the CC genotype of this SNP exhibited a PPAI that was 12.71 ± 3.21 days longer compared to buffaloes with AA and CA genotypes. To gain insight into the functional relevance of this SNP, a computational analysis was performed which indicated that the C allele of the SNP (g.36417726C > A) increased the stability of LAMA2 mRNA compared to the A allele. This computational prediction was corroborated by observing a significant increase (P = 0.01798) in Lama2 gene expression (greater than 8-fold) and higher fat percentage (P < 0.05) in adipose tissue of CC genotypes (48.78 ± 1.87 %) compared to AA genotypes (33.59 ± 4.5 %). Furthermore, we noted a significant (P < 0.05) upregulation of C/ebpβ, Pparγ, Fasn, C/ebpα, and Pnpla2 genes, along with the downregulation of Bmp2 and Ptch1 in CC genotypes as opposed to AA genotypes. This observation suggests the involvement of the Pparγ-mediated pathway in both adipogenesis and lipolysis within CC genotypes. In summary, our comprehensive analysis involving association and functional validation underscores the potential of the SNP (g.36417726C > A) within the Lama2 gene as a promising genetic marker against extended PPAI in Murrah buffalo.
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Affiliation(s)
- Surya Kant Verma
- Molecular Endocrinology, Functional Genomics & System Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute (NDRI), Karnal, India
| | - Lal Krishan Kumar
- Molecular Endocrinology, Functional Genomics & System Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute (NDRI), Karnal, India
| | - Meet Thumar
- Molecular Endocrinology, Functional Genomics & System Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute (NDRI), Karnal, India
| | - Thota Venkata Chaitanya Kumar
- Molecular Endocrinology, Functional Genomics & System Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute (NDRI), Karnal, India
| | - Veerappa Gowdar Vedamurthy
- Molecular Endocrinology, Functional Genomics & System Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute (NDRI), Karnal, India
| | - Dheer Singh
- Molecular Endocrinology, Functional Genomics & System Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute (NDRI), Karnal, India
| | - Suneel Kumar Onteru
- Molecular Endocrinology, Functional Genomics & System Biology Laboratory, Animal Biochemistry Division, ICAR - National Dairy Research Institute (NDRI), Karnal, India.
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Fandade V, Singh P, Singh D, Sharma H, Thakur G, Saini S, Kumar P, Mantri S, Bishnoi OP, Roy J. Genome-wide identification of microsatellites for mapping, genetic diversity and cross-transferability in wheat (Triticum spp). Gene 2024; 896:148039. [PMID: 38036075 DOI: 10.1016/j.gene.2023.148039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 11/20/2023] [Accepted: 11/27/2023] [Indexed: 12/02/2023]
Abstract
Wheat (Triticum aestivum L.) is a crucial global staple crop, and is consistently being improved to enhance yield, disease resistance, and quality traits. However, the development of molecular markers is a challenging task due to its hexaploid genome. Molecular marker system such as simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) are helpful for breeding, but SNP has limitations due to its development cost and its conversion to breeder markers. The study proposed an in-silico approach, by utilizing the low-cost transcriptome sequencing of two parental lines, 'TAC 75' and 'WH 1105', to identify polymorphic SSRs for mapping in a recombinant inbred line (RIL) population. This study introduces a new approach to bridge wheat genetics intricacies and next-generation sequencing potential. It presents a comprehensive genome-wide SSR distribution using IWGSC CS RefSeq v2.1 genome assembly and to identify 189 polymorphic loci through in-silico strategy. Of these, 54.76% showed polymorphism between parents, surpassing the traditional low polymorphic success rate. A RIL population screening validated these markers, demonstrating the fitness of identified markers through chi-square tests. The designed SSRs were also validated for genetic diversity analysis in a subset of 37 Indian wheat genotypes and cross-transferability in the wild/relative wheat species. In diversity analysis, a subset of 38 markers revealed 95 alleles (2.5 allele/locus), indicating substantial genetic variation. Population structure analysis unveiled three distinct groups, supported by phylogenetic and PCoA analyses. Further the polymorphic SSRs were also analyzed for SSR-gene association using gene ontology analysis. By utilizing the developing seed transcriptome data within parental lines, the study has enhanced the polymorphic SSR identification precision and facilitated in the RIL population. The undertaken study pioneers the use of transcriptome sequencing and genetic mapping to overcome challenges posed by the intricate wheat genome. This approach offers a cost-effective, less labour-intensive alternative to conventional methods, providing a platform for advancing wheat breeding research.
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Affiliation(s)
- Vikas Fandade
- Agri-Food Biotechnology Division, National Agri-Food Biotechnology Institute, Mohali-140306, Punjab, India; Regional Centre for Biotechnology, NCR Biotech Science Cluster, 3rd Milestone, Faridabad-Gurgaon Expressway, Faridabad, Haryana 121001, India.
| | - Pradeep Singh
- Agri-Food Biotechnology Division, National Agri-Food Biotechnology Institute, Mohali-140306, Punjab, India.
| | - Dalwinder Singh
- Department of Anatomy and cell biology, University of Western Ontario, London, Canada.
| | - Himanshu Sharma
- Agri-Food Biotechnology Division, National Agri-Food Biotechnology Institute, Mohali-140306, Punjab, India.
| | - Garima Thakur
- Protection for Plant Varieties and Farmers Rights Authority, New Delhi, India.
| | - Shivangi Saini
- Agri-Food Biotechnology Division, National Agri-Food Biotechnology Institute, Mohali-140306, Punjab, India.
| | - Prashant Kumar
- Agri-Food Biotechnology Division, National Agri-Food Biotechnology Institute, Mohali-140306, Punjab, India; Regional Centre for Biotechnology, NCR Biotech Science Cluster, 3rd Milestone, Faridabad-Gurgaon Expressway, Faridabad, Haryana 121001, India.
| | - Shrikant Mantri
- Agri-Food Biotechnology Division, National Agri-Food Biotechnology Institute, Mohali-140306, Punjab, India.
| | - O P Bishnoi
- Department of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar- 125004, India.
| | - Joy Roy
- Agri-Food Biotechnology Division, National Agri-Food Biotechnology Institute, Mohali-140306, Punjab, India.
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Bukayev A, Aidarov B, Fesenko D, Saidamarova V, Ivanovsky I, Maltseva E, Naizabayeva D, Bukayeva A, Faizov B, Pylev V, Darmenov A, Skiba Y, Balanovska E, Zhabagin M. Genotype data for 60 SNP genetic markers associated with eye, hair, skin color, ABO blood group, sex, core Y-chromosome haplogroups in Kazakh population. BMC Res Notes 2024; 17:51. [PMID: 38369539 PMCID: PMC10874529 DOI: 10.1186/s13104-024-06712-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 02/01/2024] [Indexed: 02/20/2024] Open
Abstract
OBJECTIVES The collection of genotype data was conducted as an essential part of a pivotal research project with the goal of examining the genetic variability of skin, hair, and iris color among the Kazakh population. The data has practical application in the field of forensic DNA phenotyping (FDA). Due to the limited size of forensic databases from Central Asia (Kazakhstan), it is practically impossible to obtain an individual identification result based on forensic profiling of short tandem repeats (STRs). However, the pervasive use of the FDA necessitates validation of the currently employed set of genetic markers in a variety of global populations. No such data existed for the Kazakhs. The Phenotype Expert kit (DNA Research Center, LLC, Russia) was used for the first time in this study to collect data. DATA DESCRIPTION The present study provides genotype data for a total of 60 SNP genetic markers, which were analyzed in a sample of 515 ethnic Kazakhs. The dataset comprises a total of 41 single nucleotide polymorphisms (SNPs) obtained from the HIrisPlex-S panel. Additionally, there are 4 SNPs specifically related to the AB0 gene, 1 marker associated with the AMELX/Y genes, and 14 SNPs corresponding to the primary haplogroups of the Y chromosome. The aforementioned data could prove valuable to researchers with an interest in investigating genetic variability and making predictions about phenotype based on eye color, hair color, skin color, AB0 blood group, gender, and biogeographic origin within the male lineage.
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Affiliation(s)
- Alizhan Bukayev
- National Center for Biotechnology, Astana, 010000, Republic of Kazakhstan
| | - Baglan Aidarov
- National Center for Biotechnology, Astana, 010000, Republic of Kazakhstan
| | - Denis Fesenko
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russia
| | - Viktoriya Saidamarova
- Karaganda Academy of the Ministry of Internal Affairs of the Republic of Kazakhstan Named After Barimbek Beisenov, Karaganda, 100000, Republic of Kazakhstan
| | | | - Elina Maltseva
- Almaty Branch of the National Center for Biotechnology, Almaty, 050054, Kazakhstan
- Tethys Scientific Society, Almaty, 050063, Kazakhstan
| | - Dinara Naizabayeva
- Almaty Branch of the National Center for Biotechnology, Almaty, 050054, Kazakhstan
| | - Ayagoz Bukayeva
- National Center for Biotechnology, Astana, 010000, Republic of Kazakhstan
| | - Bekzhan Faizov
- National Center for Biotechnology, Astana, 010000, Republic of Kazakhstan
| | - Vladimir Pylev
- Bochkov Research Centre of Medical Genetics, Moscow, 115522, Russia
| | - Akynkali Darmenov
- Karaganda Academy of the Ministry of Internal Affairs of the Republic of Kazakhstan Named After Barimbek Beisenov, Karaganda, 100000, Republic of Kazakhstan
| | - Yuriy Skiba
- Almaty Branch of the National Center for Biotechnology, Almaty, 050054, Kazakhstan
| | - Elena Balanovska
- Bochkov Research Centre of Medical Genetics, Moscow, 115522, Russia
| | - Maxat Zhabagin
- National Center for Biotechnology, Astana, 010000, Republic of Kazakhstan.
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Guo J, Zhao C, Gupta S, Platz G, Snyman L, Zhou M. Genome-wide association mapping for seedling and adult resistance to powdery mildew in barley. Theor Appl Genet 2024; 137:50. [PMID: 38363421 PMCID: PMC10873221 DOI: 10.1007/s00122-024-04550-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/10/2024] [Indexed: 02/17/2024]
Abstract
KEY MESSAGE Two new major QTL were identified for powdery mildew resistance. We confirmed that the QTL on 7HS contributed mainly to the adult-plant resistance, while another one on chromosome arm 1HS made a significant contribution to the seedling resistance. Powdery mildew (PM), caused by Blumeria hordei, can occur at all post emergent stages of barley and constantly threatens crop production. To identify more genes for effective resistance to powdery mildew for use in breeding programs, 696 barley accessions collected from different regions of the world were evaluated for PM resistance at seedling and adult growth stages in three different states of Australia. These barley accessions were genotyped using DArTSeq with over 18,000 markers for a genome-wide association study (GWAS). Using the FarmCPU model, 54 markers showed significant associations with PM resistance scored at the seedling and adult-plant stages in different states of Australia. Another 40 markers showed tentative associations (LOD > 4.0) with resistance. These markers are distributed across all seven barley chromosomes. Most of them were grouped into eleven QTL regions, coinciding with the locations of most of the reported resistance genes. Two major MTAs were identified on chromosome arms 3HS and 5HL, with one on 3HS contributing to adult plant resistance and the one on 5HL to both seedling and adult plant resistance. An MTA on 7HS contributed mainly to the adult-plant resistance, while another one on chromosome arm 1HS made a significant contribution to the seedling resistance.
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Affiliation(s)
- Jie Guo
- College of Agronomy, Shanxi Agricultural University, Jinzhong, 030801, China
| | - Chenchen Zhao
- Tasmanian Institute of Agriculture, University of Tasmania, Launceston, TAS, 7250, Australia
| | - Sanjiv Gupta
- Western Crop Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, 6150, Australia
- Department of Primary Industries and Regional Development, South Perth, WA, Australia
| | - Greg Platz
- Department of Agriculture and Fisheries, Hermitage Research Facility, Warwick, QLD, 4370, Australia
| | - Lisle Snyman
- Department of Agriculture and Fisheries, Hermitage Research Facility, Warwick, QLD, 4370, Australia
| | - Meixue Zhou
- College of Agronomy, Shanxi Agricultural University, Jinzhong, 030801, China.
- Tasmanian Institute of Agriculture, University of Tasmania, Launceston, TAS, 7250, Australia.
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Katral A, Hossain F, Zunjare RU, Chhabra R, Vinutha T, Duo H, Kumar B, Karjagi CG, Jacob SR, Pandey S, Neeraja CN, Vasudev S, Muthusamy V. Multilocus functional characterization of indigenous and exotic inbreds for dgat1-2, fatb, ge2 and wri1a genes affecting kernel oil and fatty acid profile in maize. Gene 2024; 895:148001. [PMID: 37977314 DOI: 10.1016/j.gene.2023.148001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/10/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023]
Abstract
Demand for maize oil is progressively increasing due to its diverse industrial applications, aside from its primary role in human nutrition and animal feed. Oil content and composition are two crucial determinants of maize oil in the international market. As kernel oil in maize is a complex quantitative trait, improving this trait presents a challenge for plant breeders and biotechnologists. Here, we characterized a set of 292 diverse maize inbreds of both indigenous and exotic origin by exploiting functional polymorphism of the dgat1-2, fatb, ge2, and wri1a genes governing kernel oil in maize. Genotyping using gene-based functional markers revealed a lower frequencies of dgat1-2 (0.15) and fatb (0.12) mutant alleles and a higher frequencies of wild-type alleles (Dgat1-2: 0.85; fatB: 0.88). The favorable wri1a allele was conserved across genotypes, while its wild-type allele (WRI1a) was not detected. In contrast, none of the genotypes possessed the ge2 favorable allele. The frequency of favorable alleles of both dgat1-2 and fatb decreased to 0.03 when considered together. Furthermore, pairwise protein-protein interactions among target gene products were conducted to understand the effect of one protein on another and their responses to kernel oil through functional enrichments. Thus, the identified maize genotypes with dgat1-2, fatb, and wri1a favourable alleles, along with insights gained through the protein-protein association network, serve as prominent and unique genetic resources for high-oil maize breeding programs. This is the first comprehensive report on the functional characterization of diverse genotypes at the molecular and protein levels.
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Affiliation(s)
| | - Firoz Hossain
- ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | | | - Rashmi Chhabra
- ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - T Vinutha
- ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Hriipulou Duo
- ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Bhupender Kumar
- ICAR-Indian Institute of Maize Research, New Delhi 110012, India
| | | | - Sherry R Jacob
- ICAR-National Bureau of Plant Genetic Resource, New Delhi 110012, India
| | - Sushil Pandey
- ICAR-National Bureau of Plant Genetic Resource, New Delhi 110012, India
| | | | - Sujata Vasudev
- ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Vignesh Muthusamy
- ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
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Xu W, Wei D, Song X. Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning. Sci Rep 2024; 14:3800. [PMID: 38360836 PMCID: PMC10869692 DOI: 10.1038/s41598-024-54278-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 02/10/2024] [Indexed: 02/17/2024] Open
Abstract
Alopecia areata (AA) is a common non-scarring hair loss condition driven by the collapse of immune privilege and oxidative stress. The role of ferroptosis, a type of cell death linked to oxidative stress, in AA is yet to be explored, even though it's implicated in various diseases. Using transcriptome data from AA patients and controls from datasets GSE68801 and GSE80342, we aimed to identify AA diagnostic marker genes linked to ferroptosis. We employed Single-sample gene set enrichment analysis (ssGSEA) for immune cell infiltration evaluation. Correlations between ferroptosis-related differentially expressed genes (FRDEGs) and immune cells/functions were identified using Spearman analysis. Feature selection was done through Support vector machine-recursive feature elimination (SVM-RFE) and LASSO regression models. Validation was performed using the GSE80342 dataset, followed by hierarchical internal validation. We also constructed a nomogram to assess the predictive ability of FRDEGs in AA. Furthermore, the expression and distribution of these molecules were confirmed through immunofluorescence. Four genes, namely SLC40A1, LCN2, CREB5, and SLC7A11, were identified as markers for AA. A prediction model based on these genes showed high accuracy (AUC = 0.9052). Immunofluorescence revealed reduced expression of these molecules in AA patients compared to normal controls (NC), with SLC40A1 and CREB5 showing significant differences. Notably, they were primarily localized to the outer root sheath and in proximity to the sebaceous glands. Our study identified several ferroptosis-related genes associated with AA. These findings, emerging from the integration of immune cell infiltration analysis and machine learning, contribute to the evolving understanding of diagnostic and therapeutic strategies in AA. Importantly, this research lays a solid foundation for subsequent studies exploring the intricate relationship between AA and ferroptosis.
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Affiliation(s)
- Wen Xu
- School of Medicine, Zhejiang University, Hangzhou, 310009, China
- Department of Dermatology, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, West Lake Ave 38, Hangzhou, 310009, China
| | - Dongfan Wei
- School of Medicine, Zhejiang University, Hangzhou, 310009, China
- Department of Dermatology, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, West Lake Ave 38, Hangzhou, 310009, China
| | - Xiuzu Song
- Department of Dermatology, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, West Lake Ave 38, Hangzhou, 310009, China.
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Vandeputte M, Coppens S, Bossier P, Vereecke N, Vanrompay D. Genomic mining of Vibrio parahaemolyticus highlights prevalence of antimicrobial resistance genes and new genetic markers associated with AHPND and tdh + /trh + genotypes. BMC Genomics 2024; 25:178. [PMID: 38355437 PMCID: PMC10868097 DOI: 10.1186/s12864-024-10093-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/05/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Acute Hepatopancreatic Necrosis Disease (AHPND) causes significant mortality in shrimp aquaculture. The infection is primarily instigated by Vibrio parahaemolyticus (Vp) strains carrying a plasmid encoding the binary toxin PirAB. Yet, comprehension of supplementary virulence factors associated with this relatively recent disease remains limited. Furthermore, the same holds for gastroenteritis in humans caused by other Vp genotypes. Additionally, given the prevalent use of antibiotics to combat bacterial infections, it becomes imperative to illuminate the presence of antimicrobial resistance genes within these bacteria. RESULTS A subsampled number of 1,036 Vp genomes was screened for the presence of antimicrobial resistance genes, revealing an average prevalence of 5 ± 2 (SD) genes. Additional phenotypic antimicrobial susceptibility testing of three Vp strains (M0904, TW01, and PV1) sequenced in this study demonstrated resistance to ampicillin by all tested strains. Additionally, Vp M0904 showed multidrug resistance (against ampicillin, tetracycline, and trimethoprim-sulfamethoxazole). With a focus on AHPND, a screening of all Vibrio spp. for the presence of pirA and/or pirB indicates an estimated prevalence of 0.6%, including four V. campbellii, four V. owensii, and a Vibrio sp. next to Vp. Their pirAB-encoding plasmids exhibited a highly conserved backbone, with variations primarily in the region of the Tn3 family transposase. Furthermore, an assessment of the subsampled Vp genomes for the presence of known virulence factors showed a correlation between the presence of the Type 3 Secretion System 2 and tdh, while the presence of the Type 6 Secretion System 1 was clade dependent. Furthermore, a genome-wide association study (GWAS) unveiled (new) genes associated with pirA, pirB, tdh, and trh genotypes. Notable associations with the pirAB genotype included outer membrane proteins, immunoglobulin-like domain containing proteins, and toxin-antitoxin systems. For the tdh + /trh + genotypes (containing tdh, trh, or both genes), associations were found with T3SS2 genes, urease-related genes and nickel-transport system genes, and genes involved in a 'minimal' type I-F CRISPR mechanism. CONCLUSIONS This study highlights the prevalence of antimicrobial resistance and virulence genes in Vp, identifying novel genetic markers associated with AHPND and tdh + /trh + genotypes. These findings contribute valuable insights into the genomic basis of these genotypes, with implications for shrimp aquaculture and food safety.
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Affiliation(s)
- Marieke Vandeputte
- Laboratory of Immunology and Animal Biotechnology, Department of Animal Production and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
- Laboratory of Aquaculture & Artemia Reference Center, Department of Animal Production and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
| | | | - Peter Bossier
- Laboratory of Aquaculture & Artemia Reference Center, Department of Animal Production and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | | | - Daisy Vanrompay
- Laboratory of Immunology and Animal Biotechnology, Department of Animal Production and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
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Zhang P, Zhang W, Sun W, Xu J, Hu H, Wang L, Wong L. Identification of gene biomarkers for brain diseases via multi-network topological semantics extraction and graph convolutional network. BMC Genomics 2024; 25:175. [PMID: 38350848 PMCID: PMC10865627 DOI: 10.1186/s12864-024-09967-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/03/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Brain diseases pose a significant threat to human health, and various network-based methods have been proposed for identifying gene biomarkers associated with these diseases. However, the brain is a complex system, and extracting topological semantics from different brain networks is necessary yet challenging to identify pathogenic genes for brain diseases. RESULTS In this study, we present a multi-network representation learning framework called M-GBBD for the identification of gene biomarker in brain diseases. Specifically, we collected multi-omics data to construct eleven networks from different perspectives. M-GBBD extracts the spatial distributions of features from these networks and iteratively optimizes them using Kullback-Leibler divergence to fuse the networks into a common semantic space that represents the gene network for the brain. Subsequently, a graph consisting of both gene and large-scale disease proximity networks learns representations through graph convolution techniques and predicts whether a gene is associated which brain diseases while providing associated scores. Experimental results demonstrate that M-GBBD outperforms several baseline methods. Furthermore, our analysis supported by bioinformatics revealed CAMP as a significantly associated gene with Alzheimer's disease identified by M-GBBD. CONCLUSION Collectively, M-GBBD provides valuable insights into identifying gene biomarkers for brain diseases and serves as a promising framework for brain networks representation learning.
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Affiliation(s)
- Ping Zhang
- College of Information Science and Engineering, Zaozhuang University, Zaozhuang, 277100, Shandong, China
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Weihan Zhang
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Hubei Hongshan Laboratory, Wuhan, 430074, China
| | - Weicheng Sun
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jinsheng Xu
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Hua Hu
- College of Information Science and Engineering, Zaozhuang University, Zaozhuang, 277100, Shandong, China.
| | - Lei Wang
- College of Information Science and Engineering, Zaozhuang University, Zaozhuang, 277100, Shandong, China.
- Guangxi Key Lab of Human-Machine Interaction and Intelligent Decision, Guangxi Academy of Sciences, Nanning, 530007, China.
| | - Leon Wong
- College of Big Data and Internet, Shenzhen Technology University, Shenzhen, 518118, China.
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Giannitrapani L, Di Gaudio F, Cervello M, Scionti F, Ciliberto D, Staropoli N, Agapito G, Cannataro M, Tassone P, Tagliaferri P, Seidita A, Soresi M, Affronti M, Bertino G, Russello M, Ciriminna R, Lino C, Spinnato F, Verderame F, Augello G, Arbitrio M. Genetic Biomarkers of Sorafenib Response in Patients with Hepatocellular Carcinoma. Int J Mol Sci 2024; 25:2197. [PMID: 38396873 PMCID: PMC10888718 DOI: 10.3390/ijms25042197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 02/08/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
The identification of biomarkers for predicting inter-individual sorafenib response variability could allow hepatocellular carcinoma (HCC) patient stratification. SNPs in angiogenesis- and drug absorption, distribution, metabolism, and excretion (ADME)-related genes were evaluated to identify new potential predictive biomarkers of sorafenib response in HCC patients. Five known SNPs in angiogenesis-related genes, including VEGF-A, VEGF-C, HIF-1a, ANGPT2, and NOS3, were investigated in 34 HCC patients (9 sorafenib responders and 25 non-responders). A subgroup of 23 patients was genotyped for SNPs in ADME genes. A machine learning classifier method was used to discover classification rules for our dataset. We found that only the VEGF-A (rs2010963) C allele and CC genotype were significantly associated with sorafenib response. ADME-related gene analysis identified 10 polymorphic variants in ADH1A (rs6811453), ADH6 (rs10008281), SULT1A2/CCDC101 (rs11401), CYP26A1 (rs7905939), DPYD (rs2297595 and rs1801265), FMO2 (rs2020863), and SLC22A14 (rs149738, rs171248, and rs183574) significantly associated with sorafenib response. We have identified a genetic signature of predictive response that could permit non-responder/responder patient stratification. Angiogenesis- and ADME-related genes correlation was confirmed by cumulative genetic risk score and network and pathway enrichment analysis. Our findings provide a proof of concept that needs further validation in follow-up studies for HCC patient stratification for sorafenib prescription.
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Affiliation(s)
- Lydia Giannitrapani
- Institute for Biomedical Research and Innovation, National Research Council (CNR), 90146 Palermo, Italy; (L.G.); (M.C.)
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90127 Palermo, Italy; (F.D.G.); (A.S.); (M.S.); (M.A.)
| | - Francesca Di Gaudio
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90127 Palermo, Italy; (F.D.G.); (A.S.); (M.S.); (M.A.)
| | - Melchiorre Cervello
- Institute for Biomedical Research and Innovation, National Research Council (CNR), 90146 Palermo, Italy; (L.G.); (M.C.)
| | - Francesca Scionti
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy; (F.S.); (N.S.); (P.T.); (P.T.)
| | - Domenico Ciliberto
- Medical and Translational Oncology Unit, A.O.U. R. Dulbecco, 88100 Catanzaro, Italy;
| | - Nicoletta Staropoli
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy; (F.S.); (N.S.); (P.T.); (P.T.)
- Medical and Translational Oncology Unit, A.O.U. R. Dulbecco, 88100 Catanzaro, Italy;
| | - Giuseppe Agapito
- Department of Legal, Economic and Social Sciences, Magna Graecia University, 88100 Catanzaro, Italy;
| | - Mario Cannataro
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy;
| | - Pierfrancesco Tassone
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy; (F.S.); (N.S.); (P.T.); (P.T.)
- Medical and Translational Oncology Unit, A.O.U. R. Dulbecco, 88100 Catanzaro, Italy;
- College of Science and Technology, Temple University, Philadelphia, PA 19122, USA
| | - Pierosandro Tagliaferri
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy; (F.S.); (N.S.); (P.T.); (P.T.)
- Medical and Translational Oncology Unit, A.O.U. R. Dulbecco, 88100 Catanzaro, Italy;
| | - Aurelio Seidita
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90127 Palermo, Italy; (F.D.G.); (A.S.); (M.S.); (M.A.)
- Villa Sofia-Cervello Hospital, C.O.U. Medical Oncology, 90146 Palermo, Italy; (F.S.); (F.V.)
| | - Maurizio Soresi
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90127 Palermo, Italy; (F.D.G.); (A.S.); (M.S.); (M.A.)
| | - Marco Affronti
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90127 Palermo, Italy; (F.D.G.); (A.S.); (M.S.); (M.A.)
| | - Gaetano Bertino
- Hepatology Unit, A.O.U. Policlinico-San Marco, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy;
| | | | - Rosaria Ciriminna
- Institute of Nanostructured Materials, National Research Council (CNR), 90146 Palermo, Italy; (R.C.); (C.L.)
| | - Claudia Lino
- Institute of Nanostructured Materials, National Research Council (CNR), 90146 Palermo, Italy; (R.C.); (C.L.)
| | - Francesca Spinnato
- Villa Sofia-Cervello Hospital, C.O.U. Medical Oncology, 90146 Palermo, Italy; (F.S.); (F.V.)
| | - Francesco Verderame
- Villa Sofia-Cervello Hospital, C.O.U. Medical Oncology, 90146 Palermo, Italy; (F.S.); (F.V.)
| | - Giuseppa Augello
- Institute for Biomedical Research and Innovation, National Research Council (CNR), 90146 Palermo, Italy; (L.G.); (M.C.)
| | - Mariamena Arbitrio
- Institute for Biomedical Research and Innovation, National Research Council (CNR), 88100 Catanzaro, Italy
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Arunachalam V, Lea R, Hoy W, Lee S, Mott S, Savige J, Mathews JD, McMorran BJ, Nagaraj SH. Novel genetic markers for chronic kidney disease in a geographically isolated population of Indigenous Australians: Individual and multiple phenotype genome-wide association study. Genome Med 2024; 16:29. [PMID: 38347632 PMCID: PMC10860247 DOI: 10.1186/s13073-024-01299-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 01/30/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is highly prevalent among Indigenous Australians, especially those in remote regions. The Tiwi population has been isolated from mainland Australia for millennia and exhibits unique genetic characteristics that distinguish them from other Indigenous and non-Indigenous populations. Notably, the rate of end-stage renal disease is up to 20 times greater in this population compared to non-Indigenous populations. Despite the identification of numerous genetic loci associated with kidney disease through GWAS, the Indigenous population such as Tiwi remains severely underrepresented and the increased prevalence of CKD in this population may be due to unique disease-causing alleles/genes. METHODS We used albumin-to-creatinine ratio (ACR) and estimated glomerular filtration rate (eGFR) to estimate the prevalence of kidney disease in the Tiwi population (N = 492) in comparison to the UK Biobank (UKBB) (N = 134,724) database. We then performed an exploratory factor analysis to identify correlations among 10 CKD-related phenotypes and identify new multi-phenotype factors. We subsequently conducted a genome-wide association study (GWAS) on all single and multiple phenotype factors using mixed linear regression models, adjusted for age, sex, population stratification, and genetic relatedness between individuals. RESULTS Based on ACR, 20.3% of the population was at severely increased risk of CKD progression and showed elevated levels of ACR compared to the UKBB population independent of HbA1c. A GWAS of ACR revealed novel association loci in the genes MEG3 (chr14:100812018:T:A), RAB36 (rs11704318), and TIAM2 (rs9689640). Additionally, multiple phenotypes GWAS of ACR, eGFR, urine albumin, and serum creatinine identified a novel variant that mapped to the gene MEIS2 (chr15:37218869:A:G). Most of the identified variants were found to be either absent or rare in the UKBB population. CONCLUSIONS Our study highlights the Tiwi population's predisposition towards elevated ACR, and the collection of novel genetic variants associated with kidney function. These associations may prove valuable in the early diagnosis and treatment of renal disease in this underrepresented population. Additionally, further research is needed to comprehensively validate the functions of the identified variants/genes.
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Affiliation(s)
- Vignesh Arunachalam
- Centre for Genomics and Personalised Health and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Rodney Lea
- Centre for Genomics and Personalised Health and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Wendy Hoy
- Centre of chronic disease, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Simon Lee
- Centre for Genomics and Personalised Health and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Susan Mott
- Centre of chronic disease, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Judith Savige
- Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia
| | - John D Mathews
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Brendan J McMorran
- National Centre for Indigenous Genomics, The John Curtin of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Shivashankar H Nagaraj
- Centre for Genomics and Personalised Health and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
- Translational Research Institute, Queensland University of Technology, Brisbane, QLD, Australia.
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50
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Tan X, Zhang J, Dong J, Huang M, Li Q, Wang H, Bai L, Cui M, Zhou Z, Yang S, Wang D. Whole-genome variants dataset of 209 local chickens from China. Sci Data 2024; 11:169. [PMID: 38316816 PMCID: PMC10844214 DOI: 10.1038/s41597-024-02995-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 01/25/2024] [Indexed: 02/07/2024] Open
Abstract
Compared to commercial chickens, local breeds exhibit better in meat quality and flavour, but the productivity (e.g., growth rate, body weight) of local chicken breeds is rather low. Genetic analysis based on whole-genome sequencing contributes to elucidating the genetic markers or putative candidate genes related to some economic traits, facilitating the improvement of production performance, the acceleration of breeding progress, and the conservation of genetic resources. Here, a total of 209 local chickens from 13 breeds were investigated, and the observation of approximately 91.4% high-quality sequences (Q30 > 90%) and a mapping rate over 99% for each individual indicated good results of this study, as confirmed by a genome coverage of 97.6%. Over 19 million single nucleotide polymorphisms (SNPs) and 1.98 million insertion-deletions (InDels) were identified using the reference genome (GRCg7b), further contributing to the public database. This dataset provides valuable resources for studying genetic diversity and adaptation and for the cultivation of new chicken breeds/lines.
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Affiliation(s)
- Xiaodong Tan
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Jiawen Zhang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Jie Dong
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Minjie Huang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Qinghai Li
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou, 310024, China
| | - Huanhuan Wang
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou, 310024, China
| | - Lijuan Bai
- Zhejiang Animal Husbandry Technology Extension and Breeding Livestock and Poultry Monitoring Station, Hangzhou, 310020, China
| | - Ming Cui
- Zhejiang Animal Husbandry Technology Extension and Breeding Livestock and Poultry Monitoring Station, Hangzhou, 310020, China
| | - Zhenzhen Zhou
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Shuyuan Yang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Deqian Wang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
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