Current Genomics最新文献

{"title":"Identification of Two Novel Pathogenic Variants of the ATM Gene in the Iranian-Azeri Turkish Ethnic Group by Applying Whole Exome Sequencing","authors":"Amir-Reza Dalal Amandi, Neda Jabbarpour, Shadi Shiva, Mortaza Bonyadi","doi":"10.2174/0113892029268949231104165301","DOIUrl":"https://doi.org/10.2174/0113892029268949231104165301","url":null,"abstract":"Background: The ATM gene encodes a multifunctional kinase involved in important cellular functions, such as checkpoint signaling and apoptosis, in response to DNA damage. Bi-allelic pathogenic variants in this gene cause Ataxia Telangiectasia (AT), while carriers of ATM pathogenic variants are at increased risk of cancer depending on the pathogenicity of the variant they carry. Identifying pathogenic variants can aid in the management of the disease in carriers. Methods: Whole-exome sequencing (WES) was performed on three unrelated patients from the Iranian-Azeri Turkish ethnic group referred to a genetic center for analysis. WES was also conducted on 400 individuals from the same ethnic group to determine the frequencies of all ATM variants. Blood samples were collected from the patients and their family members for DNA extraction, and PCR-Sanger sequencing was performed to confirm the WES results. Results: The first proband with AT disease had two novel compound heterozygote variants (c.2639-2A>T, c.8708delC) in the ATM gene revealed by WES analysis, which was potentially/- likely pathogenic. The second proband with bi-lateral breast cancer had a homozygous pathogenic variant (c.6067G>A) in the ATM gene identified by WES analysis. The third case with a family history of cancer had a heterozygous synonymous pathogenic variant (c.7788G>A) in the ATM gene found by WES analysis. Sanger sequencing confirmed the WES results, and bioinformatics analysis of the mutated ATM RNA and protein structure added evidence for the potential pathogenicity of the novel variants. WES analysis of the cohort revealed 38 different variants, including a variant (rs1800057, ATM:c.3161C>G, p.P1054R) associated with prostate cancer that had a higher frequency in our cohort. Conclusion: Genetic analysis of three unrelated families with ATM-related disorders discovered two novel pathogenic variants. A homozygous missense pathogenic variant was identified in a woman with bi-lateral breast cancer, and a pathogenic synonymous pathogenic variant was found in a family with a history of different cancers.","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"1 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Study and Analysis of Disease Identification using Genomic Sequence Processing Models: An Empirical Review","authors":"Sony K. Ahuja, Deepti D. Shrimankar, Aditi R. Durge","doi":"10.2174/0113892029269523231101051455","DOIUrl":"https://doi.org/10.2174/0113892029269523231101051455","url":null,"abstract":": Human gene sequences are considered a primary source of comprehensive information about different body conditions. A wide variety of diseases including cancer, heart issues, brain issues, genetic issues, etc. can be pre-empted via efficient analysis of genomic sequences. Researchers have proposed different configurations of machine learning models for processing genomic sequences, and each of these models varies in terms of their performance & applicability characteristics. Models that use bioinspired optimizations are generally slower, but have superior incrementalperformance, while models that use one-shot learning achieve higher instantaneous accuracy but cannot be scaled for larger disease-sets. Due to such variations, it is difficult for genomic system designers to identify optimum models for their application-specific & performance-specific use cases. To overcome this issue, a detailed survey of different genomic processing models in terms of their functional nuances, application-specific advantages, deployment-specific limitations, and contextual future scopes is discussed in this text. Based on this discussion, researchers will be able to identify optimal models for their functional use cases. This text also compares the reviewed models in terms of their quantitative parameter sets, which include, the accuracy of classification, delay needed to classify large-length sequences, precision levels, scalability levels, and deployment cost, which will assist readers in selecting deployment-specific models for their contextual clinical scenarios. This text also evaluates a novel Genome Processing Efficiency Rank (GPER) for each of these models, which will allow readers to identify models with higher performance and low overheads under real-time scenarios.","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"29 9","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aberrant Expressions of PSMD14 in Tumor Tissue are the Potential Prognostic Biomarkers for Hepatocellular Carcinoma after Curative Resection","authors":"Yi-Mei Xiong, Fang Zhou, Jia-Wen Zhou, Fei Liu, Si-Qi Zhou, Bo Li, Zhong-Jian Liu, Yang Qin","doi":"10.2174/0113892029277262231108105441","DOIUrl":"https://doi.org/10.2174/0113892029277262231108105441","url":null,"abstract":"Introduction: Hepatocellular carcinoma (HCC) has a high mortality rate, with curative resection being the primary treatment. However, HCC patients have a large possibility of recurrence within 5 years after curative resection. Method: Thus, identifying biomarkers to predict recurrence is crucial. In our study, we analyzed data from CCLE, GEO, and TCGA, identifying eight oncogenes associated with HCC. Subsequently, the expression of 8 genes was tested in 5 cases of tumor tissues and the adjacent non-tumor tissues. Then ATP6AP1, PSMD14 and HSP90AB1 were selected to verify the expression in 63 cases of tumor tissues and the adjacent non-tumor tissues. The results showed that ATP6AP1, PSMD14, HSP90AB1 were generally highly expressed in tumor tissues. A five-year follow-up of the 63 clinical cases, combined with Kaplan-Meier Plotter's relapse-free survival (RFS) analysis, found a significant correlation between PSMD14 expression and recurrence in HCC patients. Subsequently, we analyzed the PSMD14 mutations and found that the PSMD14 gene mutations can lead to a shorter disease-free survival time for HCC patients. Results: The results of enrichment analysis indicated that the differentially expressed genes related to PSMD14 are mainly enriched in the signal release pathway. Conclusion: In conclusion, our research showed that PSMD14 might be related to recurrence in HCC patients, and the expression of PSMD14 in tumor tissue might be a potential prognostic biomarker after tumor resection in HCC patients.","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"9 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Plausible Candidates in Prostate Cancer Using Integrated Machine Learning Approaches","authors":"Bhumandeep Kour, Nidhi Shukla, Harshita Bhargava, Devendra Sharma, Amita Sharma, Jayaraman Valadi, TC Sadasukhi, Sugunakar Vuree, Prashanth Suravajhala","doi":"10.2174/0113892029240239231109082805","DOIUrl":"https://doi.org/10.2174/0113892029240239231109082805","url":null,"abstract":"Background: Currently, prostate-specific antigen (PSA) is commonly used as a prostate cancer (PCa) biomarker. PSA is linked to some factors that frequently lead to erroneous positive results or even needless biopsies of elderly people. Objectives: In this pilot study, we undermined the potential genes and mutations from several databases and checked whether or not any putative prognostic biomarkers are central to the annotation. The aim of the study was to develop a risk prediction model that could help in clinical decision-making. Methods: An extensive literature review was conducted, and clinical parameters for related comorbidities, such as diabetes, obesity, as well as PCa, were collected. Such parameters were chosen with the understanding that variations in their threshold values could hasten the complicated process of carcinogenesis, more particularly PCa. The gathered data was converted to semi-binary data (-1, -0.5, 0, 0.5, and 1), on which machine learning (ML) methods were applied. First, we cross-checked various publicly available datasets, some published RNA-seq datasets, and our whole-exome sequencing data to find common role players in PCa, diabetes, and obesity. To narrow down their common interacting partners, interactome networks were analysed using GeneMANIA and visualised using Cytoscape, and later cBioportal was used (to compare expression level based on Z scored values) wherein various types of mutation w.r.t their expression and mRNA expression (RNA seq FPKM) plots are available. The GEPIA 2 tool was used to compare the expression of resulting similarities between the normal tissue and TCGA databases of PCa. Later, top-ranking genes were chosen to demonstrate striking clustering coefficients using the Cytoscape-cytoHubba module, and GEPIA 2 was applied again to ascertain survival plots. Results: Comparing various publicly available datasets, it was found that BLM is a frequent player in all three diseases, whereas comparing publicly available datasets, GWAS datasets, and published sequencing findings, SPFTPC and PPIMB were found to be the most common. With the assistance of GeneMANIA, TMPO and FOXP1 were found as common interacting partners, and they were also seen participating with BLM. Conclusion: A probabilistic machine learning model was achieved to identify key candidates between diabetes, obesity, and PCa. This, we believe, would herald precision scale modeling for easy prognosis.","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"11 4","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current Advances in Genetic Testing for Spinal Muscular Atrophy","authors":"Yulin Zhou, Yu Jiang","doi":"10.2174/0113892029273388231023072050","DOIUrl":"https://doi.org/10.2174/0113892029273388231023072050","url":null,"abstract":"Abstract: pinal muscular atrophy (SMA) is one of the most common genetic disorders worldwide, and genetic testing plays a key role in its diagnosis and prevention. The last decade has seen a continuous flow of new methods for SMA genetic testing that, along with traditional approaches, have affected clinical practice patterns to some degree. Targeting different application scenarios and selecting the appropriate technique for genetic testing have become priorities for optimizing the clinical pathway for SMA. In this review, we summarize the latest technological innovations in genetic testing for SMA, including MassArray®, digital PCR (dPCR), next-generation sequencing (NGS), and third-generation sequencing (TGS). Implementation recommendations for rationally choosing different technical strategies in the tertiary prevention of SMA are also explored.","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"103 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135136664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Taxonomic Status and Phylogenetic Relationship of Family Charadriidae based on Complete Mitogenomes","authors":"Weiya Qian, Yizheng Liu, Keer Miao, Qing Chang, Chaochao Hu","doi":"10.2174/0113892029273517231017051819","DOIUrl":"https://doi.org/10.2174/0113892029273517231017051819","url":null,"abstract":"Background: The Charadriiformes provide a good source for researching evolution owing to their diverse distribution, behavior, morphology, and ecology. However, in the Charadrii, family-level relationships remain understudied, and the monophyly of Charadriidae is also a subject of controversy. Method: In the present study, we generated complete mitogenomes for two species, Charadrius leschenaultii and Charadrius mongolus, which were found to be 16,905 bp and 16,844 bp in length, respectively. Among the 13 protein codon genes, we observed variation in the rate of nonsynonymous substitution rates, with the slowest rate found in COI and the fastest rate observed in ATP8. The Ka/Ks ratio for all Charadriidae species was significantly lower than one, which inferred that the protein-coding genes underwent purifying selection. Result: Phylogenetic analysis based on the genes of Cyt b, 12S and ND2 revealed that the genus Pluvialis is the sister group of three families (Haematopodidae, Ibidorhynchidae, Recurvirostridae). However, the phylogenetic analysis based on complete mitogenomes indicated that the genus Pluvialis is within the Charadriidae family. Conclusion: This study highlights the importance of carefully selecting the number of genes used to obtain accurate estimates of the species tree. It also suggests that relying on partial mtDNA genes with fast-evolving rates may lead to misleading results when resolving the Pluvialis sister group. Future research should focus on sequencing more mitogenomes at different taxonomic levels to gain a better understanding of the features and phylogenetic relationships within the Charadriiformes order.","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136316941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High Prevalence of a c.5979dupA Variant in the Dysferlin Gene (DYSF) in Individuals from a Semiarid Region of Brazil","authors":"Isabella A. Motta, Maria Lucrécia A. Gouveia, Ana Paula M. Braga, Rafael S. Andrade, Mayra F.F. Montenegro, Sandra N. Gurgel, Keila M.F. Albuquerque, Priscilla A.N.G. Souto, Flávia P.B.F. Cardoso, Joseane S. Araujo, Mirella C.L. Pinheiro, Carlos E.P. da Silva, Pamella A.S. Gurgel, David Feder, Matheus M. Perez, Glaucia Luciano da Veiga, Beatriz C.A. Alves, Fernando L.A. Fonseca, Alzira A.S. Carvalho","doi":"10.2174/0113892029257856231013115036","DOIUrl":"https://doi.org/10.2174/0113892029257856231013115036","url":null,"abstract":"Background: Dysferlinopathies represent a group of limb girdle or distal muscular dystrophies with an autosomal-recessive inheritance pattern resulting from the presence of pathogenic variants in the dysferlin gene (DYSF). Objective: In this work, we describe a population from a small city in Brazil carrying the c.5979dupA pathogenic variant of DYSF responsible for limb girdle muscular dystrophy type 2R and distal muscular dystrophy. Methods: Genotyping analyses were performed by qPCR using customized probe complementary to the region with the duplication under analysis in the DYSF. Results: A total of 104 individuals were examined. c.5979dupA was identified in 48 (46.15%) individuals. Twenty-three (22%) were homozygotes, among whom 13 (56.5%) were female. A total of 91.3% (21) of homozygous individuals had a positive family history, and seven (30.4%) reported consanguineous marriages. Twenty-five (24%) individuals were heterozygous (25.8±16 years) for the same variant, among whom 15 (60%) were female. The mean CK level was 697 IU for homozygotes, 140.5 IU for heterozygotes and 176 IU for wild-type homo-zygotes. The weakness distribution pattern showed 17.3% of individuals with a proximal pattern, 13% with a distal pattern and 69.6% with a mixed pattern. Fatigue was present in 15 homozygotes and one heterozygote. Conclusion: The high prevalence of this variant in individuals from this small community can be explained by a possible founder effect associated with historical, geographical and cultural aspects.","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pan-Cancer Analysis Identifies AIMP2 as a Potential Biomarker for Breast Cancer","authors":"Jie Qiu, Tao Zhou, Danhong Wang, Weimin Hong, Da Qian, Xiaozhen Liu, Xuli Meng","doi":"10.2174/0113892029255941231014142050","DOIUrl":"https://doi.org/10.2174/0113892029255941231014142050","url":null,"abstract":"Introduction:: Aminoacyl tRNA synthetase complex interacting with multifunctional protein 2 (AIMP2) is a significant regulator of cell proliferation and apoptosis. Despite its abnormal expression in various tumor types, the specific functions and effects of AIMP2 on tumor immune cell infiltration, proliferation, and migration remain unclear. background: AIMP2, Aminoacyl TRNA Synthetase Complex Interacting Multifunctional Protein 2, also known as JTV1, a multifunctional protein that forms a macromolecular complex with human aminoacyl tRNA synthetase, which consists of three non-enzymatic proteins, including p43, p38 and p18 proteins, of which p38 protein is AIMP2[1]. AIMP2 is necessary for the assembly and stability of aminoacyl tRNA synthetase complex[2]. Besides being important for efficient protein synthesis, additional physiological roles for AIMP2 have been discovered[3, 4]. For example, following DNA damage, AIMP2 is liberated from the ARS complex, phosphorylated in a JNK2-dependent pathway and translocated into the nucleus where it has been suggested to bind and sequester p53 from Mdm2-dependent ubiquitination[5]. AIMP2 has also been shown to be a substrate of E3 ligase Parkin[6]. Accumulation of AIMP2 as a result of Parkin mutation has been speculated to contribute to the characteristic dopaminergic cell death observed in Parkinson patients[7]. In addition, AIMP2 augments tumor necrosis factor-α-induced apoptotic signaling and exerts antiproliferative activities in TGF-β and Wnt pathways via distinct working mechanisms [8-10]. Therefore, we wonder that AIMP2 may play a crucial role in the occurrence and development of cancer. However, there are relatively few reseaches on AIMP2 in oncology. Current studies confirmed that AIMP2 may function as a multifunctional tumor suppressor[9, 11]. In this study, we analyzed the expression of AIMP2 and its relationship with the prognosis, Tumor Mutation Burden (TMB) and Microsatellite Instability (MSI) in 33 cancer types. In addition, we examined the correlation between AIMP2 and the immune microenvironment, immune-related antigens, and immune checkpoint genes. The results showed that AIMP2 was higher expressed in tumor tissue compared with normal tissue. Moreover, AIMP2 was associated with several tumor stages. Survival analysis showed that AIMP2 expression was strongly associated with OS in some cancer patients, where the high expression of AIMP2 was associated with a worse prognosis in five types of cancer. Then, we confirmed that the expression level of AIMP2 was associated with tumor immune infiltration and tumor microenvironment, especially in BRCA. Finally, si-RNA mediated knockdown of AIMP2 suppressed the proliferation and migration of BC cells in vitro. In conclusion, AIMP2 was found to be differentially expressed in the pan-cancer analysis and might play an important role in tumor immunity, which is expected to be a potential tumor prognostic marker, especially in BRCA. Method:: To assess AIMP","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"24 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unraveling the Concealed Transcriptomic Landscape of PTEN in Human Malignancies","authors":"Michaela A. Boti, Panagiotis G. Adamopoulos, Dido Vassilacopoulou, Andreas Scorilas","doi":"10.2174/0113892029265367231013113304","DOIUrl":"https://doi.org/10.2174/0113892029265367231013113304","url":null,"abstract":"Background: Phosphatase and tensin homolog, widely known as PTEN, is a major negative regulator of the PI3K/AKT/mTOR signaling pathway, involved in the regulation of a variety of important cellular processes, including cell proliferation, growth, survival, and metabolism. Since most of the molecules involved in this biological pathway have been described as key regulators in cancer, the study of the corresponding genes at several levels is crucial. Objective: Although previous studies have elucidated the physiological role of PTEN under normal conditions and its involvement in carcinogenesis and cancer progression, the transcriptional profile of PTEN has been poorly investigated. Methods: In this study, instead of conducting the “gold-standard” direct RNA sequencing that fails to detect less abundant novel mRNAs due to the decreased sequencing depth, we designed and implemented a multiplexed PTEN-targeted sequencing approach that combined both short- and longread sequencing. Results: Our study has highlighted a broad spectrum of previously unknown PTEN mRNA transcripts and assessed their expression patterns in a wide range of human cancer and non-cancer cell lines, shedding light on the involvement of PTEN in cell cycle dysregulation and thus tumor development. Conclusion: The identification of the described novel PTEN splice variants could have significant implications for understanding PTEN regulation and function, and provide new insights into PTEN biology, opening new avenues for monitoring PTEN-related diseases, including cancer.","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"35 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complete Chloroplast Genomes of Pterodon emarginatus Vogel and Pterodon pubescens Benth: Comparative and Phylogenetic Analyses","authors":"Juliana Borges Pereira Brito, Adriana Maria Antunes, Ramilla dos Santos Braga Ferreira, Mariana Pires de Campos Telles, Cíntia Pelegrineti Targueta de Azevedo Brito, Thannya Nascimento Soares","doi":"10.2174/0113892029244147231016050434","DOIUrl":"https://doi.org/10.2174/0113892029244147231016050434","url":null,"abstract":"Background: The species Pterodon emarginatus and P. pubescens, popularly known as white sucupira or faveira, are native to the Cerrado biome and have the potential for medicinal use and reforestation. They are sister species with evolutionary proximity. Objective: The species Pterodon emarginatus and P. pubescens, popularly known as white sucupira or faveira, are native to the Cerrado biome and have the potential for medicinal use and reforestation. They are sister species with evolutionary proximity. Methods: The chloroplast genomes of P. emarginatus and P. pubescens were sequenced on the Illumina MiSeq platform. The genomes were assembled based on the de novo strategy. We performed the annotation of the genes and the repetitive regions of the genomes. The nucleotide diversity and phylogenetic relationships were analyzed using the gene sequences of these species and others of the Leguminosae family, whose genomes are available in databases. Results: The complete chloroplast genome of P. emarginatus is 159,877 bp, and that of P. pubescens is 159,873 bp. The genomes of both species have circular and quadripartite structures. A total of 127 genes were predicted in both species, including 110 single-copy genes and 17 duplicated genes in the inverted regions. 141 microsatellite regions were identified in P. emarginatus and 140 in P. pubescens. The nucleotide diversity estimates of the gene regions in twenty-one species of the Leguminosae family were 0.062 in LSC, 0.086 in SSC, and 0.036 in IR. The phylogenetic analysis demonstrated the proximity between the genera Pterodon and Dipteryx, both from the clade Dipterygeae. Ten pairs of primers with potential for the development of molecular markers were designed. Conclusion: The genetic information obtained on the chloroplast genomes of P. emarginatus and P. pubescens presented here reinforces the similarity and evolutionary proximity between these species, with a similarity percentage of 99.8%.","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"26 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}