BMC Genomics最新文献

{"title":"Genome-wide identification of SWEET gene family and functional analysis of BcSWEET1-2 associated with flowering in flowering Chinese cabbage (Brassica campestris).","authors":"Xinmin Huang, Liming He, Yuyao Chen, Yin Liu, Jinfeng Liu, Guangyuan Lu, Riyuan Chen, Yunna Zhu, Shiwei Song, Qinqin He","doi":"10.1186/s12864-025-11808-2","DOIUrl":"10.1186/s12864-025-11808-2","url":null,"abstract":"<p><strong>Background: </strong>The bolting and flowering processes are crucial for the yield of stem vegetables and require sugar support. Sugar is synthesized through photosynthesis in the leaves and transported to the stems via transmembrane transport. Brassica campestris (flowering Chinese cabbage) is a unique vegetable that does not require vernalization for flowering and has a distinct flowering regulation mechanism. \"Sugars Will Eventually be Exported Transporters\" (SWEET), a relatively newly identified group of sugar transporters, play vital roles in plant development. However, the role of B. campestris SWEET (BcSWEET) genes in the growth and development of flowering Chinese cabbage remains to be elucidated.</p><p><strong>Results: </strong>In this study, 32 BcSWEET genes were identified, which are unevenly distributed across nine chromosomes and classified into four groups based on their homology with Arabidopsis. Significant differences were observed in the physicochemical properties, motif composition, and gene structure of the BcSWEET gene family. However, all BcSWEET proteins are predicted to be localized in the cell membrane. Prediction of transmembrane regions showed that all members contained the MtN3/saliva domain. The BcSWEET promoter regions contain different cis-regulatory elements involved in developmental and hormonal regulation, stress responses, and light-responsive regulation. Expression pattern analysis of the 32 BcSWEET genes revealed that most are associated with reproductive growth in different tissues, with the majority being upregulated in petals and flower buds. BcSWEET1-2 has been confirmed to be localized in the cell membrane and to function as a hexose transporter. Overexpression of BcSWEET1-2 in Arabidopsis promotes stem carbohydrate accumulation, upregulates flowering gene expression, enhances Arabidopsis stem elongation, and advances flowering time.</p><p><strong>Conclusions: </strong>This study systematically identified the BcSWEET gene family in flowering Chinese cabbage and characterized its physicochemical properties, evolutionary relationships, and expression patterns. Further analysis demonstrated that some BcSWEET gene members may play crucial roles in flowering regulation. These findings provide theoretical guidance for further research on the role of SWEET-induced sugar accumulation in flower development in flowering Chinese cabbage.</p>","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"605"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12210806/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of candidate proteins influencing spermatogenesis in Shandong black cattle via integrated multiomics analysis.","authors":"Qiuyue Zhao, Ruili Liu, Xiuping Miao, Yanfang Mei, Xiuyuan Wang, Jiaxu Ma, Lei Zou, Renzheng Zhang, Xuejin Bai, Yajuan Dong","doi":"10.1186/s12864-025-11825-1","DOIUrl":"10.1186/s12864-025-11825-1","url":null,"abstract":"<p><strong>Background: </strong>This study was designed to identify candidate marker proteins that influence the growth and development of Shandong black cattle bull testes through multiomics joint analysis, thereby providing a certain theoretical basis for testis growth and development as well as bull selection. Eight 12-month-old Shandong Black cattle bulls were selected, and testis tissues were collected. The testes were categorized into two groups on the basis of their morphological characteristics: Group 1 (weight > 120 g) and Group 2 (weight < 120 g), with 4 animals in each group. Group 2 was employed as the control group to construct a protein and metabolite library for joint analysis to screen candidate marker proteins that affect testis spermatogenesis.</p><p><strong>Results: </strong>The results revealed that 1553 differential expression proteins (DEPs) were differentially expressed between the large and small testes of black Bleykett bulls, with 1219 being upregulated and 334 being downregulated. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment results revealed that the upregulated DEPs were involved primarily in the cell cycle (CDK1, CCNB, MCM4), DNA replication (MCM3, MCM4), etc. The downregulated DEPs were associated mainly with metabolic pathways (ACSM1, IMPDH1), etc. The Gene Ontology (GO) enrichment results revealed that the DEPs were significantly enriched in the categories of cytoskeleton movement. Weighted gene coexpression analysis suggested that testis weight was significantly correlated with MCM, STRADA, and SEC31B. After the DEPs were integrated, a protein-protein interaction (PPI) analysis was performed, and 10 key regulatory proteins, including MCM3, MCM4, CDK1, and CDK2, were identified. Metabolomics demonstrated that 14 upregulated metabolites were predominantly enriched Glycerolipid metabolism (uridine diphosphate glucose), and 59 downregulated metabolites were significantly enriched in metabolic pathways (hypoxanthine).</p><p><strong>Conclusion: </strong>A combined analysis revealed that UDPG upregulation enhances MCM3/MCM4 activity during S phase, thereby promoting spermatogenesis. Hypoxanthine upregulation inhibits the activity of CDK1, leading to a blockage in the transition from the G2/M phase of the cell cycle, thereby inhibiting spermatogenesis. In summary, MCM3, MCM4, and CDK1 participate in regulating the process of testis spermatogenesis.</p>","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"628"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12211342/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Insights to micropsoridia Nosema bombycis congenital infection and host immune responses in the embryo and larva stages of silkworms.","authors":"Tangxin Li, Yue Song, Quan Sun, Qiong Yang, Yunlin Tang, Zigang Shen, Zhangshuai He, Yabin Dou, Junzheng Zhang, Sheng Li, Tian Li, Xianzhi Meng, Zeyang Zhou, Jie Chen, Guoqing Pan","doi":"10.1186/s12864-025-11762-z","DOIUrl":"10.1186/s12864-025-11762-z","url":null,"abstract":"","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"588"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12211725/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MFH-LPI: based on multi-view similarity networks fusion and hypergraph learning for long non-coding RNA-protein interactions prediction.","authors":"Zengwei Xing, Shaoyou Yu, Shuzu Liao, Peng Wang, Bo Liao","doi":"10.1186/s12864-025-11774-9","DOIUrl":"10.1186/s12864-025-11774-9","url":null,"abstract":"<p><p>Studies demonstrate that long non-coding RNAs (lncRNAs) and their protein interactions (LPIs) play crucial roles in regulating gene expression and participating in diverse biological processes. Aberrant expression of these interactions is closely associated with the initiation and progression of various diseases. Therefore, investigating LPI prediction is critical for elucidating disease mechanisms and identifying potential biomarkers and therapeutic targets. Given the high costs and limited efficiency of traditional biological methods, developing cost-effective and accurate computational models for LPI prediction becomes essential. Inspired by similarity network fusion and hypergraph learning, this study proposes a computational framework named MFH-LPI. First, we construct separate similarity networks for lncRNAs and proteins, then employ an attention mechanism to extract and fuse key features from these multi-view networks. Subsequently, we introduce a hypernode (randomly generated node) to establish a heterogeneous hypergraph integrating lncRNAs and proteins, thereby capturing richer node representations. Finally, we predict LPIs using a multilayer graph convolutional network (GCN) combined with a fully connected (FC) layer. We conduct several experiments on three datasets to validate the method's effectiveness. The experimental findings indicate that the suggested model is effective compared to existing processes and outperforms other approaches.</p>","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"597"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12210599/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complete chloroplast genomes of 25 mulberry plants: insight into genome characteristics, comparative analysis and phylogenetic relationships.","authors":"Jinhong Yang, Wei Jiang, Jiayue Huang, Yunwu Peng, Fang Yang, Weiqing Kong","doi":"10.1186/s12864-025-11823-3","DOIUrl":"10.1186/s12864-025-11823-3","url":null,"abstract":"","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"614"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12210636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive transcriptome analysis reveals MSTRG.19853.1/ssc-miR-361-3p/NPPA axis is related to hypoxic adaptation in Tibetan pigs.","authors":"Pan Li, Wei Cheng, Zhandui Pubu, Peng Shang, Hao Zhang, Bo Zhang","doi":"10.1186/s12864-025-11783-8","DOIUrl":"10.1186/s12864-025-11783-8","url":null,"abstract":"<p><strong>Background: </strong>The Tibetan pig, an indigenous breed adapted to plateau environments in China, exhibits remarkable tolerance to extreme high-altitude conditions. Recent studies have highlighted the pivotal role of non-coding RNAs (ncRNAs) in regulating hypoxic adaptation. However, the complex regulatory network involving mRNAs and ncRNAs that mediate this adaptation in Tibetan pigs remains poorly understood.</p><p><strong>Results: </strong>We performed whole-transcriptome sequencing to analyze expression profiles of mRNAs, lncRNAs, and miRNAs in heart tissues of Tibetan pigs (TH) and Yorkshire pigs (YH) at high altitude. We identified 795 differentially expressed lncRNAs (DE lncRNAs), 149 differentially expressed miRNAs (DE miRNAs), and 2,206 differentially expressed mRNAs (DE mRNAs) between TH and YH. Functional enrichment analysis showed that target genes of DE miRNAs, DE lncRNAs, and DE mRNAs significantly enriched pathways related to hypoxic adaptation, including Dilated Cardiomyopathy (DCM) and Hypertrophic Cardiomyopathy (HCM). We constructed a competing endogenous RNA (ceRNA) regulatory network comprising 8 DE lncRNAs, 37 DE miRNAs, and 7 DE mRNAs. Notably, we validated the MSTRG.19853.1/ssc-miR-361-3p/NPPA axis, a candidate regulator of cardiac adaptation, using quantitative real-time PCR (qRT-PCR) and dual-luciferase reporter assays.</p><p><strong>Conclusion: </strong>Our findings elucidate comprehensive RNA expression profiles and ncRNA-mRNA interactions underlying hypoxic adaptation in Tibetan pig hearts compared to Yorkshire pigs at high altitude. The MSTRG.19853.1/ssc-miR-361-3p/NPPA axis represents a promising candidate for regulating cardiac adaptation under hypoxia, pending in vivo validation. These insights enhance our understanding of the genetic mechanisms driving high-altitude adaptation in Tibetan pigs, offering a foundation for comparative studies of hypoxic resilience in plateau mammals.</p>","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"595"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12211723/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evidence of early genomic selection in Holstein Friesian across African and European ecosystems.","authors":"Junxin Gao, Rayner Gonzalez-Prendes, Ying Liu, Juha Kantanen, Catarina Ginja, Nasser Ghanem, Donald Rugira Kugonza, Mahlako Makgahlela, Henk Bovenhuis, Martien A M Groenen, Richard P M A Crooijmans","doi":"10.1186/s12864-025-11828-y","DOIUrl":"10.1186/s12864-025-11828-y","url":null,"abstract":"","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"615"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12211335/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of genomic selection characteristics of local cattle breeds in Gansu.","authors":"Bao Cai, Yandong Kang, Lin Xiong, Jie Pei, Qianyun Ge, Xiaoyun Wu, Manyu Gan, Xian Guo","doi":"10.1186/s12864-025-11753-0","DOIUrl":"10.1186/s12864-025-11753-0","url":null,"abstract":"<p><strong>Background: </strong>The distinctive geography and climate of Gansu Province have given rise to three indigenous cattle breeds-Zaosheng, Anxi, and Yangba. Renowned for their superior meat quality and remarkable adaptability, these breeds are crucial for maintaining genetic diversity. However, they are under threat from intensive farming practices, environmental degradation, and genetic drift, which could lead to an irreversible loss of genetic resources. Thanks to natural and artificial selection, these breeds possess genetic markers that enhance their adaptation to extreme environments and improve key economic traits. By integrating comprehensive genome data from multiple breeds, this study aims to analyze population genetics, detect composite selection signals, and perform functional enrichment to uncover the mechanisms behind genetic differentiation and adaptive evolution. This research is pivotal for developing resilient breeds and ensuring sustainable resource management.</p><p><strong>Results: </strong>The genetic background of local cattle breeds in Gansu shows a mix between indicine cattle (Bos indicus) and taurine cattle (Bos taurus), with geographical differentiation: Yangba cattle in the southeast mainly exhibit indicine ancestry (54.43%), while Anxi and Zaosheng cattle in the northwest show a predominance of taurine ancestry (86.51% and 74.81%, respectively). This divergence is closely related to historical ethnic migrations, geographic barriers, and gene flow along the Silk Road. Selection signal analysis has revealed specific adaptation mechanisms in different populations: Yangba cattle exhibit strong selection signals in the T-cell receptor pathway (FYN, FYB1) and skeletal development genes (SOX6), which may be related to their adaptation to hot and humid environments and mountainous terrain; Anxi cattle show adaptive evolution in nitrogen metabolism (CA8, CA10) and adherens junction pathways (CTNNA2), possibly reflecting the genetic basis for their adaptation to arid conditions; Zaosheng cattle display strong selection signals in muscle development (LARGE1, SGCZ) and immune regulation genes (SLAMF family), likely associated with enhanced meat production performance and increased pathogen resistance driven by artificial breeding.</p><p><strong>Conclusion: </strong>This study explores the drivers of genetic diversity and adaptive evolution in Gansu's native cattle breeds, emphasizing the impact of geography and human activity on genetic divergence. It provides a theoretical basis for conserving breed resources, identifying functional genes, and developing breeding strategies.</p>","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"574"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12211739/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assembly and comparative analysis of the complete mitochondrial genome of Cardiocrinum giganteum: a primitive Liliaceae group with significant scientific research value.","authors":"Zhiheng Zhao, Liyun Huang, Xiaolu Huang, Jianming Liao, Guangyu Zeng, Dan Liu","doi":"10.1186/s12864-025-11817-1","DOIUrl":"10.1186/s12864-025-11817-1","url":null,"abstract":"<p><p>BACKGROUND : Cardiocrinum giganteum, belonging to genus Cardiocrinum of family Liliaceae, is a genus endemic to East Asia and is considered one of the more primitive groups within the Liliaceae family. C. giganteum is the largest one among all the lily species in plant and flower size, and possesses high ornamental, medicinal, and scientific research value. However, due to its long-term wild status, its value has not been fully exploited and utilized, especially regarding the mitochondrial genome, which is crucial for plant growth activities, there have been no relevant studies and reports so far. RESULTS: In this study, we sequenced and assembled the complete mitochondrial genome of C. giganteum and elucidated its evolutionary trajectory and phylogenetic relationships. The C. giganteum mitogenome has a multi-chromosomal structure containing 19 circular molecules. The assembled mitogenome has a total length of 2,066,679 bp and a GC content of 44.54%. A total of 37 unique protein-coding genes (PCGs), 16 tRNA, and three rRNA genes were annotated. Several repetitive sequences and sequence fragments homologous to chloroplasts have also been found in the C. giganteum mitogenome. To determine the evolutionary and taxonomic positions of C. giganteum, we constructed a phylogenetic tree using C. giganteum mitochondrial PCGs. Additionally, we analyzed the relatively synonymous codon usage of PCGs, identified RNA editing events, and conducted syntenic analysis with closely related species. CONCLUSIONS: This study presents the first comprehensive mitochondrial genome (mtDNA) characterization of C. giganteum (Liliaceae), revealing its unique multi-chromosomal configuration. Our findings address the knowledge gap in mitochondrial research within the Cardiocrinum genus while enriching the mitochondrial genome database of Liliaceae. The assembled mtDNA provides critical insights into the phylogenetic relationships between Cardiocrinum and its allied genera, establishing essential genomic resources for evolutionary analyses, species identification, and genetic diversity studies across Liliaceae.</p>","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"602"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12211521/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transcriptomic analysis reveals candidate molecular pathways involved in pea (Pisum sativum L.) resistance to pea aphid (Acyrthosiphon pisum Harris) biotypes.","authors":"Rémi Ollivier, Stéphanie Robin, Marc Galland, Po-Yuan Shih, Stéphanie Morlière, Maria K Paulmann, Jonathan Gershenzon, Grit Kunert, Marie-Laure Pilet-Nayel, Jean-Christophe Simon, Akiko Sugio","doi":"10.1186/s12864-025-11742-3","DOIUrl":"10.1186/s12864-025-11742-3","url":null,"abstract":"<p><p>Pea (Pisum sativum L.) is a major legume crop frequently infested by various parasites, including the pea aphid (Acyrthosiphon pisum Harris), which takes nutrients from its host and transmits phytopathogenic viruses. This aphid species comprises several biotypes, each one capable of feeding and reproducing on a limited range of specific legume species. However, little is known about the transcriptional response of the plants to different aphid biotypes. To investigate pea defense mechanisms against the pea-adapted and pea non-adapted A. pisum biotypes, we analyzed the transcriptional responses by mRNA sequencing of six pea genotypes with contrasting resistance levels and different haplotypes at the ApRVII locus. This locus confers partial resistance to the pea-adapted and non-adapted A. pisum biotypes. Transcriptomic analyses of pea genotypes with and without aphid infestation revealed 9,217 differentially expressed genes in pea genotypes infested with the pea-adapted aphids, while fewer genes, 1,561 genes total, were expressed in response to the pea non-adapted aphids. Both aphid biotypes activated immune responses and the biosynthesis of secondary metabolites, including flavonoids. However, the pea-adapted biotype appeared to suppress multiple pathways associated with photosynthesis, cell wall biosynthesis, fatty acid metabolism, and other growth-related processes. Candidate genes potentially involved in aphid resistance were identified both within and outside of the ApRVII locus. These findings provide insights into pea resistance mechanisms against both pea-adapted and pea non-adapted A. pisum biotypes, as well as the ability of the adapted biotype to modulate pea defenses leading to host susceptibility, and pave the way for follow-up studies, including metabolomic analyses.</p>","PeriodicalId":9030,"journal":{"name":"BMC Genomics","volume":"26 1","pages":"580"},"PeriodicalIF":3.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12211313/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}