Significant body size variations exist among different primate species. To investigate the genes influencing primate body size evolution, this study employed evolutionary genetics approaches to analyze functional differences and natural selection patterns of genes across species with distinct body sizes. Six primate species representing significant size variations were selected. Through comparative analysis of genome, molecular evolution and RNA-seq, Bcl-2 gene was detected and it has a significant impact on primate body size. Results demonstrated a positive correlation between Bcl-2 gene expression levels with body size, with differential natural selection observed among species of varying sizes. Population genetic analysis identified specific Bcl-2 SNP loci associated with body size evolution, and cellular experiments confirmed that this gene regulates osteoblast proliferation through pathways such as Wnt/β-catenin and BMP signaling. Multi-omics analysis further revealed that Bcl-2 expression increases with body size and exhibits significant selection signals and physicochemical property differences between species with substantial size variations. Functional studies indicated that Bcl-2 plays a crucial role in body size evolution by regulating skeletal development-related pathways. This study systematically reveals Bcl-2 as a key regulatory factor influencing primate adaptive body size evolution through processes such as apoptosis, skeletal development, and metabolism. From an evolutionary genetics perspective, it elucidates the molecular mechanisms underlying body size differences, providing new insights into primate body size evolution.
{"title":"Function of <i>Bcl-2</i> gene and its mechanism on body size adaptive evolution in primates.","authors":"Run Li, Hong Shi","doi":"10.16288/j.yczz.25-101","DOIUrl":"https://doi.org/10.16288/j.yczz.25-101","url":null,"abstract":"<p><p>Significant body size variations exist among different primate species. To investigate the genes influencing primate body size evolution, this study employed evolutionary genetics approaches to analyze functional differences and natural selection patterns of genes across species with distinct body sizes. Six primate species representing significant size variations were selected. Through comparative analysis of genome, molecular evolution and RNA-seq, <i>Bcl-2</i> gene was detected and it has a significant impact on primate body size. Results demonstrated a positive correlation between <i>Bcl-2</i> gene expression levels with body size, with differential natural selection observed among species of varying sizes. Population genetic analysis identified specific <i>Bcl-2</i> SNP loci associated with body size evolution, and cellular experiments confirmed that this gene regulates osteoblast proliferation through pathways such as Wnt/β-catenin and BMP signaling. Multi-omics analysis further revealed that <i>Bcl-2</i> expression increases with body size and exhibits significant selection signals and physicochemical property differences between species with substantial size variations. Functional studies indicated that <i>Bcl-2</i> plays a crucial role in body size evolution by regulating skeletal development-related pathways. This study systematically reveals <i>Bcl-2</i> as a key regulatory factor influencing primate adaptive body size evolution through processes such as apoptosis, skeletal development, and metabolism. From an evolutionary genetics perspective, it elucidates the molecular mechanisms underlying body size differences, providing new insights into primate body size evolution.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 11","pages":"1231-1243"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145542874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lei Miao, Ke-Lai Kang, Chi Zhang, Shuang Liu, Rui-Lian Jiao, Li Yuan, Le Wang
Short tandem repeat (STR) is a significant genetic marker for the identification of forensic DNA. DNA databases worldwide, including those in China, are established based on STR markers. Length- and sequence-based polymorphism are two features of STR markers. Sequence-based polymorphism includes polymorphisms in both repeat and flanking regions. Traditional capillary electrophoresis-based STR genotyping method can only profile length-based genotypes. However, a deep understanding of the sequence polymorphism of core STR loci is crucial for primer design and DNA identification. Firstly, single nucleotide polymorphisms and insertions/deletions in STR primer binding regions may reduce the affinity between primers and DNA templates, leading to allele dropout or poor interlocus balance, thereby impacting the accuracy of DNA identification. Secondly, sequence-based polymorphism can be unveiled by next-generation sequencing technology, which could significantly enhance the detectable polymorphic information of core STR loci and improve the efficiency of individual identification and kinship analysis. Thirdly, different populations exhibit distinct STR sequence characteristics. Over the past decade, studies on sequence-based polymorphisms of STR loci have increased alongside the application of next-generation sequencing technology, and sequence-based polymorphisms from multiple populations were reported. However, previously studied populations and data were scattered, and different formats of repeat region sequences were used in various studies. These limitations result in the absence of a systematic summary and analysis of sequence polymorphism for core STR loci, hindering its further application in forensic practices. A comprehensive understanding of core STR loci sequence characteristics is crucial for individual identification from trace DNA, deconvolution of mixed samples, and determination of mutation origins in paternity testing. In this review, we focus on 19 autosomal core STRs and systematically review the sequence polymorphisms of these loci based on population data reported in the literature. We summarize variations in repeat regions, analyze variation patterns, present high-frequency variations in flanking regions within the Chinese population, and discuss potential challenges encountered in STR sequence analyses, with the aim to provide a reference for the analyses and application of STR sequence, the identification of rare alleles in criminal case testing, and the development of STR genotyping panel.
{"title":"Sequence features of forensic core short tandem repeat loci.","authors":"Lei Miao, Ke-Lai Kang, Chi Zhang, Shuang Liu, Rui-Lian Jiao, Li Yuan, Le Wang","doi":"10.16288/j.yczz.25-021","DOIUrl":"10.16288/j.yczz.25-021","url":null,"abstract":"<p><p>Short tandem repeat (STR) is a significant genetic marker for the identification of forensic DNA. DNA databases worldwide, including those in China, are established based on STR markers. Length- and sequence-based polymorphism are two features of STR markers. Sequence-based polymorphism includes polymorphisms in both repeat and flanking regions. Traditional capillary electrophoresis-based STR genotyping method can only profile length-based genotypes. However, a deep understanding of the sequence polymorphism of core STR loci is crucial for primer design and DNA identification. Firstly, single nucleotide polymorphisms and insertions/deletions in STR primer binding regions may reduce the affinity between primers and DNA templates, leading to allele dropout or poor interlocus balance, thereby impacting the accuracy of DNA identification. Secondly, sequence-based polymorphism can be unveiled by next-generation sequencing technology, which could significantly enhance the detectable polymorphic information of core STR loci and improve the efficiency of individual identification and kinship analysis. Thirdly, different populations exhibit distinct STR sequence characteristics. Over the past decade, studies on sequence-based polymorphisms of STR loci have increased alongside the application of next-generation sequencing technology, and sequence-based polymorphisms from multiple populations were reported. However, previously studied populations and data were scattered, and different formats of repeat region sequences were used in various studies. These limitations result in the absence of a systematic summary and analysis of sequence polymorphism for core STR loci, hindering its further application in forensic practices. A comprehensive understanding of core STR loci sequence characteristics is crucial for individual identification from trace DNA, deconvolution of mixed samples, and determination of mutation origins in paternity testing. In this review, we focus on 19 autosomal core STRs and systematically review the sequence polymorphisms of these loci based on population data reported in the literature. We summarize variations in repeat regions, analyze variation patterns, present high-frequency variations in flanking regions within the Chinese population, and discuss potential challenges encountered in STR sequence analyses, with the aim to provide a reference for the analyses and application of STR sequence, the identification of rare alleles in criminal case testing, and the development of STR genotyping panel.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 11","pages":"1214-1230"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145542939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chromatin-associated RNAs (caRNAs), closely related to chromatin structure and functions, are a class of RNAs that interact with chromatin in cis, trans, or cis-trans cooperation modes, regulating gene expression and maintaining the orderly progression of cellular processes. N6-methyladenosine (m6A) is a ubiquitous and dynamically reversible epigenetic modification in eukaryotic RNAs, playing an important regulatory role in a variety of biological processes. m6A modification of chromatin-associated RNAs can regulate chromatin accessibility and gene expression at the transcriptional level, maintaining the normal functions of organisms. In this review, we summarize the mechanisms of m6A-modified caRNAs-chromatin interactions and their role in gene expression, with the aim of providing scientific basis and ideas for the analysis of the molecular mechanisms of gene transcriptional regulation.
{"title":"Advances of m<sup>6</sup>A modification of chromatin-associated RNAs regulating chromatin accessibility and gene transcription.","authors":"Jia-Lin Ren, Yi-Ze Tong, Rui Cai","doi":"10.16288/j.yczz.25-129","DOIUrl":"https://doi.org/10.16288/j.yczz.25-129","url":null,"abstract":"<p><p>Chromatin-associated RNAs (caRNAs), closely related to chromatin structure and functions, are a class of RNAs that interact with chromatin in <i>cis</i>, <i>trans</i>, or <i>cis-trans</i> cooperation modes, regulating gene expression and maintaining the orderly progression of cellular processes. <i>N</i><sup>6</sup>-methyladenosine (m<sup>6</sup>A) is a ubiquitous and dynamically reversible epigenetic modification in eukaryotic RNAs, playing an important regulatory role in a variety of biological processes. m<sup>6</sup>A modification of chromatin-associated RNAs can regulate chromatin accessibility and gene expression at the transcriptional level, maintaining the normal functions of organisms. In this review, we summarize the mechanisms of m<sup>6</sup>A-modified caRNAs-chromatin interactions and their role in gene expression, with the aim of providing scientific basis and ideas for the analysis of the molecular mechanisms of gene transcriptional regulation.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 11","pages":"1186-1196"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145542871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tian-Li Guo, Tao Zhang, Hua Guan, Yu-Guang Wang, Li Chen
In the field of forensic science, mixed DNA evidence obtained from crime scenes often contains genetic information from multiple individuals, and its accurate interpretation is crucial for case investigation and judicial decision-making. With the advancement of forensic genetic technologies, although detection capabilities have significantly improved, there are still substantial bottlenecks in the interpretation of multi-contributor DNA profiles. Traditional methods are often unable to simultaneously and precisely infer both the genotypes of suspects and their respective contribution proportions, which makes them insufficient to meet the stringent requirements of complex mixture analysis. To address these challenges, we propose a continuous gamma distribution model algorithm based on probabilistic residual optimization in this study. By constructing a two-step probabilistic evaluation framework, the algorithm first generates candidate genotype combinations through allelic permutations and estimates preliminary contributor proportions. It then introduces the gamma distribution hypothesis to build a probability density function, dynamically optimizes the shape parameter (α) and the scale parameter (β) to calculate residual probability weights, and employs an iterative maximum likelihood estimation process to simultaneously optimize genotype combinations and contributor proportion parameters. The final results are derived by integrating population allele frequency databases to output the maximum likelihood solution. This algorithm provides a reliable and quantifiable analytical tool for forensic identification, significantly improving the accuracy of complex mixture interpretation and enhancing the practical utility of mixed DNA in criminal investigations. It holds substantial significance in advancing forensic science technologies and safeguarding judicial fairness.
{"title":"A method for interpreting mixed DNA evidence based on the gamma model.","authors":"Tian-Li Guo, Tao Zhang, Hua Guan, Yu-Guang Wang, Li Chen","doi":"10.16288/j.yczz.24-353","DOIUrl":"https://doi.org/10.16288/j.yczz.24-353","url":null,"abstract":"<p><p>In the field of forensic science, mixed DNA evidence obtained from crime scenes often contains genetic information from multiple individuals, and its accurate interpretation is crucial for case investigation and judicial decision-making. With the advancement of forensic genetic technologies, although detection capabilities have significantly improved, there are still substantial bottlenecks in the interpretation of multi-contributor DNA profiles. Traditional methods are often unable to simultaneously and precisely infer both the genotypes of suspects and their respective contribution proportions, which makes them insufficient to meet the stringent requirements of complex mixture analysis. To address these challenges, we propose a continuous gamma distribution model algorithm based on probabilistic residual optimization in this study. By constructing a two-step probabilistic evaluation framework, the algorithm first generates candidate genotype combinations through allelic permutations and estimates preliminary contributor proportions. It then introduces the gamma distribution hypothesis to build a probability density function, dynamically optimizes the shape parameter (α) and the scale parameter (β) to calculate residual probability weights, and employs an iterative maximum likelihood estimation process to simultaneously optimize genotype combinations and contributor proportion parameters. The final results are derived by integrating population allele frequency databases to output the maximum likelihood solution. This algorithm provides a reliable and quantifiable analytical tool for forensic identification, significantly improving the accuracy of complex mixture interpretation and enhancing the practical utility of mixed DNA in criminal investigations. It holds substantial significance in advancing forensic science technologies and safeguarding judicial fairness.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 11","pages":"1269-1283"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145542903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ke Li, Xiao-Rong Zhou, Dong-Li Zhu, Xiao-Feng Chen, Yan Guo
Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease with multi-organ involvement. The FAM167A-BLK locus at 8p23 has been identified as a genetic susceptibility locus for SLE by previous genome-wide association studies (GWAS). To explore the role of functional single-nucleotide polymorphisms (SNPs) within this locus on the regulation of BLK and FAM167A genes, we perform comprehensive functional annotation using GCTA and fnGWAS approaches to identify candidate functional SNPs,and verify them through dual-luciferase reporter assays, shRNA knockdown experiments, and CRISPR/dCas9 knockdown experiments. The results show that four functional SNPs exhibit allele-specific enhancing effect on BLK expression, while showing no discernible regulatory influence on FAM167A expression. Importantly, BLK is shown to regulate the expression of FAM167A. These findings highlight FAM167A as a potential pathogenic gene contributing to SLE. This study expands the mechanistic understanding of genetic regulation at the FAM167A-BLK locus and provides new insights into SLE development.
{"title":"Exploration of the regulatory function of genetic variants at <i>FAM167A-BLK</i> locus in systemic lupus erythematosus.","authors":"Ke Li, Xiao-Rong Zhou, Dong-Li Zhu, Xiao-Feng Chen, Yan Guo","doi":"10.16288/j.yczz.25-064","DOIUrl":"https://doi.org/10.16288/j.yczz.25-064","url":null,"abstract":"<p><p>Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease with multi-organ involvement. The <i>FAM167A-BLK</i> locus at 8p23 has been identified as a genetic susceptibility locus for SLE by previous genome-wide association studies (GWAS). To explore the role of functional single-nucleotide polymorphisms (SNPs) within this locus on the regulation of <i>BLK</i> and <i>FAM167A</i> genes, we perform comprehensive functional annotation using GCTA and fnGWAS approaches to identify candidate functional SNPs,and verify them through dual-luciferase reporter assays, shRNA knockdown experiments, and CRISPR/dCas9 knockdown experiments. The results show that four functional SNPs exhibit allele-specific enhancing effect on <i>BLK</i> expression, while showing no discernible regulatory influence on <i>FAM167A</i> expression. Importantly, <i>BLK</i> is shown to regulate the expression of <i>FAM167A</i>. These findings highlight <i>FAM167A</i> as a potential pathogenic gene contributing to SLE. This study expands the mechanistic understanding of genetic regulation at the <i>FAM167A-BLK</i> locus and provides new insights into SLE development.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 11","pages":"1244-1255"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145542844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Extracellular vesicles (EVs) are membrane-bound particles released by cells into the extracellular microenvironment. In the nervous system, EVs serve as critical mediators of biomolecule trafficking and intercellular communication. These vesicles are deeply involved in orchestrating physiological homeostasis and pathological cascades, while demonstrating significant potential for therapeutic and diagnostic applications. In this review, we systematically summarize the functional heterogeneity and research advances in neuron- and glial cell-derived EVs, aiming to provide a theoretical basis for understanding the diverse roles of EVs in the nervous system.
{"title":"Progress on extracellular vesicles in the nervous system.","authors":"Jia-Qiang Chen, Mei Ding","doi":"10.16288/j.yczz.24-372","DOIUrl":"https://doi.org/10.16288/j.yczz.24-372","url":null,"abstract":"<p><p>Extracellular vesicles (EVs) are membrane-bound particles released by cells into the extracellular microenvironment. In the nervous system, EVs serve as critical mediators of biomolecule trafficking and intercellular communication. These vesicles are deeply involved in orchestrating physiological homeostasis and pathological cascades, while demonstrating significant potential for therapeutic and diagnostic applications. In this review, we systematically summarize the functional heterogeneity and research advances in neuron- and glial cell-derived EVs, aiming to provide a theoretical basis for understanding the diverse roles of EVs in the nervous system.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 11","pages":"1197-1213"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145542832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Microglia, as the resident immune cells of the central nervous system (CNS), maintain neural homeostasis by orchestrating the clearance of necrotic neurons, cellular debris, and pathogens through phagocytosis. This intracellular process involves a dynamic cascade of protein-mediated events, including cargo recognition and phagosome formation, phagosome maturation, and lysosomal degradation. Phagosome maturation critically relies on V-ATPase-driven acidification, with proton transport efficiency predominantly determined by its a subunit. In mammals, the V-ATPase a subunit has four isoforms (a1, a2, a3 and a4), whereas zebrafish (Danio rerio) possess only the three isoforms (a1, a2 and a3), with marked differences observed in their targeted cell types and suborganellar localization patterns. Notably, the V-ATPase a3 subunit is primarily localized on osteoclast lysosomes, facilitating bone resorption by acidification. The preliminary studies have revealed its conserved lysosomal localization in zebrafish microglia; however, its functional role in microglial development and regulatory mechanisms underlying phagosome maturation remain elusive. To address this knowledge gap, we employed a V-ATPase a3 subunit-deficient (tcirg1b-/-) zebrafish model, integrating whole-mount in situ hybridization, immunofluorescence, co-immunoprecipitation (Co-IP), and apoptosis assays. Key findings include: The a3 subunit is expressed during early zebrafish development; a3 subunit deficiency caused abnormal phagosome accumulation, microglial swelling and decreased activity, showing an "indigestion-like" phenotype; By exogenous labeling of late phagosomes and immunofluorescence staining, it was confirmed that the defect of V-ATPase a3 subunit impaired late phagosome-lysosome fusion in microglia; Co-IP demonstrated direct binding between the a3 subunit and Rab7. Rab7 knockdown phenocopied the "indigestion" morphology, suggesting a cooperative role in phagosome degradation. These results demonstrate that the V-ATPase a3 subunit regulates microglial phagosome maturation by mediating Rab7-dependent phagolysosomal fusion. In conclusion, this study not only elucidates the molecular mechanism underlying microglial phagocytic capacity but also provides novel insights into the evolutionarily conserved roles of V-ATPase isoforms in cellular clearance pathways.
{"title":"Effect of V-ATPase a3 subunit on microglial phagosome maturation in zebrafish.","authors":"Han-Jing Kou, Zhi-Bin Huang, Wen-Qing Zhang, Qi Chen","doi":"10.16288/j.yczz.25-117","DOIUrl":"https://doi.org/10.16288/j.yczz.25-117","url":null,"abstract":"<p><p>Microglia, as the resident immune cells of the central nervous system (CNS), maintain neural homeostasis by orchestrating the clearance of necrotic neurons, cellular debris, and pathogens through phagocytosis. This intracellular process involves a dynamic cascade of protein-mediated events, including cargo recognition and phagosome formation, phagosome maturation, and lysosomal degradation. Phagosome maturation critically relies on V-ATPase-driven acidification, with proton transport efficiency predominantly determined by its a subunit. In mammals, the V-ATPase a subunit has four isoforms (a1, a2, a3 and a4), whereas zebrafish (<i>Danio rerio</i>) possess only the three isoforms (a1, a2 and a3), with marked differences observed in their targeted cell types and suborganellar localization patterns. Notably, the V-ATPase a3 subunit is primarily localized on osteoclast lysosomes, facilitating bone resorption by acidification. The preliminary studies have revealed its conserved lysosomal localization in zebrafish microglia; however, its functional role in microglial development and regulatory mechanisms underlying phagosome maturation remain elusive. To address this knowledge gap, we employed a V-ATPase a3 subunit-deficient (<i>tcirg1b<sup>-/-</sup></i>) zebrafish model, integrating whole-mount <i>in situ</i> hybridization, immunofluorescence, co-immunoprecipitation (Co-IP), and apoptosis assays. Key findings include: The a3 subunit is expressed during early zebrafish development; a3 subunit deficiency caused abnormal phagosome accumulation, microglial swelling and decreased activity, showing an \"indigestion-like\" phenotype; By exogenous labeling of late phagosomes and immunofluorescence staining, it was confirmed that the defect of V-ATPase a3 subunit impaired late phagosome-lysosome fusion in microglia; Co-IP demonstrated direct binding between the a3 subunit and Rab7. Rab7 knockdown phenocopied the \"indigestion\" morphology, suggesting a cooperative role in phagosome degradation. These results demonstrate that the V-ATPase a3 subunit regulates microglial phagosome maturation by mediating Rab7-dependent phagolysosomal fusion. In conclusion, this study not only elucidates the molecular mechanism underlying microglial phagocytic capacity but also provides novel insights into the evolutionarily conserved roles of V-ATPase isoforms in cellular clearance pathways.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 11","pages":"1256-1268"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145542850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-31DOI: 10.1007/s42994-025-00239-y
Ruifang Zhai, Ning Tang, Zhi Liu, Sha Tao, Yupu Huang, Xue Jiang, Aobo Du, Jiashi Wang, Tao Luo, Jinbao Liu, Gina A. Garzon-Martınez, Fiona M. K. Corke, John H. Doonan, Wanneng Yang
High-throughput phenotyping of growth kinetics and organ size in the model plant Arabidopsis thaliana requires rapid and precise methods for trait estimation. To address this need, we developed the Arabidopsis Phenotypic Trait Estimation System, APTES, an open-access, high-throughput program that uses computer vision and deep learning to extract 64 leaf traits and 64 silique traits from photographs. The enhanced segmentation model Cascade Mask Region-based Convolutional Neural Network (Mask R-CNN) achieved precision (measure of positive prediction accuracy), recall (sensitivity in detection), and F1 score values (harmonic mean of precision and recall) of 0.965, 0.958, and 0.961, respectively, for individual leaf segmentation. These metrics demonstrated a consistent improvement of approximately 1 percentage point over the baseline model. For silique segmentation, our enhanced DetectoRS model for silique segmentation attained precision, recall, and F1 scores of 0.954, 0.930, and 0.942, respectively. Notably, precision increased by 1%, while the F1 score improved by 2 percentage points. Trait parameters were automatically calculated with coefficient of determination values for leaf and silique traits ranging from 0.776 to 0.976 and mean absolute percentage error values from 1.89% to 7.90%. We phenotyped 166 Arabidopsis accessions, using APTES, and subjected the resulting values to a genome-wide association study (GWAS), revealing 1,042 single-nucleotide polymorphisms (SNPs) as being significantly associated with 18 leaf and silique traits, and one significant SNP on chromosome 3 linked to silique number. Furthermore, we validated APTES across other public Arabidopsis databases and other plant species, with segmentation results demonstrating its applicability across diverse datasets. In conclusion, APTES is a valuable automated tool for leaf and silique segmentation and trait estimation, which should offer benefits to the broader plant science community.
{"title":"APTES: a high-throughput deep learning–based Arabidopsis phenotypic trait estimation system for individual leaves and siliques","authors":"Ruifang Zhai, Ning Tang, Zhi Liu, Sha Tao, Yupu Huang, Xue Jiang, Aobo Du, Jiashi Wang, Tao Luo, Jinbao Liu, Gina A. Garzon-Martınez, Fiona M. K. Corke, John H. Doonan, Wanneng Yang","doi":"10.1007/s42994-025-00239-y","DOIUrl":"10.1007/s42994-025-00239-y","url":null,"abstract":"<div><p>High-throughput phenotyping of growth kinetics and organ size in the model plant <i>Arabidopsis thaliana</i> requires rapid and precise methods for trait estimation. To address this need, we developed the Arabidopsis Phenotypic Trait Estimation System, APTES, an open-access, high-throughput program that uses computer vision and deep learning to extract 64 leaf traits and 64 silique traits from photographs. The enhanced segmentation model Cascade Mask Region-based Convolutional Neural Network (Mask R-CNN) achieved precision (measure of positive prediction accuracy), recall (sensitivity in detection), and F1 score values (harmonic mean of precision and recall) of 0.965, 0.958, and 0.961, respectively, for individual leaf segmentation. These metrics demonstrated a consistent improvement of approximately 1 percentage point over the baseline model. For silique segmentation, our enhanced DetectoRS model for silique segmentation attained precision, recall, and F1 scores of 0.954, 0.930, and 0.942, respectively. Notably, precision increased by 1%, while the F1 score improved by 2 percentage points. Trait parameters were automatically calculated with coefficient of determination values for leaf and silique traits ranging from 0.776 to 0.976 and mean absolute percentage error values from 1.89% to 7.90%. We phenotyped 166 Arabidopsis accessions, using APTES, and subjected the resulting values to a genome-wide association study (GWAS), revealing 1,042 single-nucleotide polymorphisms (SNPs) as being significantly associated with 18 leaf and silique traits, and one significant SNP on chromosome 3 linked to silique number. Furthermore, we validated APTES across other public Arabidopsis databases and other plant species, with segmentation results demonstrating its applicability across diverse datasets. In conclusion, APTES is a valuable automated tool for leaf and silique segmentation and trait estimation, which should offer benefits to the broader plant science community.</p></div>","PeriodicalId":53135,"journal":{"name":"aBIOTECH","volume":"6 4","pages":"744 - 762"},"PeriodicalIF":5.0,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42994-025-00239-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145595152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-30DOI: 10.1016/j.aaf.2025.10.002
Guoqing Lu , Jun Wang , Mingkun Luo , Chenghui Wang
Epigenetics has emerged as a promising field, providing the molecular framework that links an organism's genome to its environment. This review synthesizes recent advances in aquatic epigenomics, highlighting how a multi-layered network of core mechanisms, including DNA methylation, histone modifications, non-coding RNAs, and three-dimensional genome architecture, collectively shapes commercially valuable traits. These traits, which are fundamental to the productivity and resilience of aquatic species, encompass growth, development, reproduction, sex determination, metabolic efficiency, immune defense, and adaptation to environmental stressors. We explore the paradigm shift from passive genetic selection to proactive environmental programming, detailing applications in domestication, broodstock management, and disease resistance through strategies like epigenetic priming and microbial education. Furthermore, this review provides a critical overview of advanced technologies and bioinformatics pipelines that are democratizing the field, from enzymatic methylation sequencing and CUT&Tag to the development of non-invasive monitoring tools such as epigenetic clocks based on environmental DNA. Despite its immense promise, significant challenges remain, including elucidating the complex interplay between genetic and epigenetic variation, validating causal epi-markers, and understanding the mechanisms of stable transgenerational inheritance. Realizing the full potential of epigenetics through strategies such as epigenetic priming and microbiome-mediated programming will require sustained interdisciplinary efforts to integrate epigenomic insights into selective breeding and ecosystem-based management frameworks.
{"title":"Epigenetic mechanisms and applications in aquaculture and fisheries, with perspectives on technology and analysis","authors":"Guoqing Lu , Jun Wang , Mingkun Luo , Chenghui Wang","doi":"10.1016/j.aaf.2025.10.002","DOIUrl":"10.1016/j.aaf.2025.10.002","url":null,"abstract":"<div><div>Epigenetics has emerged as a promising field, providing the molecular framework that links an organism's genome to its environment. This review synthesizes recent advances in aquatic epigenomics, highlighting how a multi-layered network of core mechanisms, including DNA methylation, histone modifications, non-coding RNAs, and three-dimensional genome architecture, collectively shapes commercially valuable traits. These traits, which are fundamental to the productivity and resilience of aquatic species, encompass growth, development, reproduction, sex determination, metabolic efficiency, immune defense, and adaptation to environmental stressors. We explore the paradigm shift from passive genetic selection to proactive environmental programming, detailing applications in domestication, broodstock management, and disease resistance through strategies like epigenetic priming and microbial education. Furthermore, this review provides a critical overview of advanced technologies and bioinformatics pipelines that are democratizing the field, from enzymatic methylation sequencing and CUT&Tag to the development of non-invasive monitoring tools such as epigenetic clocks based on environmental DNA. Despite its immense promise, significant challenges remain, including elucidating the complex interplay between genetic and epigenetic variation, validating causal epi-markers, and understanding the mechanisms of stable transgenerational inheritance. Realizing the full potential of epigenetics through strategies such as epigenetic priming and microbiome-mediated programming will require sustained interdisciplinary efforts to integrate epigenomic insights into selective breeding and ecosystem-based management frameworks.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"11 3","pages":"Pages 411-422"},"PeriodicalIF":0.0,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}