Journal of Applied Genetics最新文献

{"title":"Short communication: catechol-O-methyltransferase allelic variation in relation to psychological and hormonal indices of stress in children and adolescents with chromosome 22q11.2 deletion syndrome (22q11.2DS).","authors":"Jessie L Beebe, Cydney R Martin, Ashley F P Sanders, Jeremy Guidry, Fahad Faheem, Joel Atallah, Elliott A Beaton","doi":"10.1007/s13353-024-00898-5","DOIUrl":"https://doi.org/10.1007/s13353-024-00898-5","url":null,"abstract":"<p><p>Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a developmental disorder with high rates of anxiety and psychosis. Catechol-O-methyltransferase (COMT) regulates epinephrine (E), norepinephrine (NE), and dopamine (DA) and is implicated in both anxiety and psychotic disorders. The aim of this study was to determine how COMT variation relates to psychological anxiety and associated stress physiology responsiveness to better understand symptom heterogeneity in people with 22q11.2DS. We examined COMT allelic variation in relation to anxiety and hypothalamic-pituitary-adrenocortical (HPA) and sympathetic-adrenomedullary (SAM) hormonal stress indicators in 30 children and adolescents with 22q11.2DS. Contrary to expectation, individuals with the higher activity COMTval allele had higher anxiety levels versus those with the low activity (COMTmet) allele (p = 0.021; Glass' Δ = 0.69). Anxiety was not correlated with salivary cortisol (CORT) or alpha-amylase (sAA) in either group. Groups did not differ in CORT levels (p = 0.58), but the COMTmet group had higher sAA (p = 0.026; Glass' Δ = 0.67, uncorrected) suggesting greater SAM reactivity but not HPA activity. This suggests that COMT allelic variation may contribute to differences in acute SAM but not slower HPA stress reactivity in those with 22q11.2DS.</p>","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141912782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GGE biplot analysis for cane yield and sugar yield in advanced clones of sugarcane (Saccharum sp. complex)","authors":"Divya Chaudhary, Anand Singh Jeena, Narendra Kumar Singh, Usha Pant, Rohit Rohit, Sonali Gaur","doi":"10.1007/s13353-024-00895-8","DOIUrl":"https://doi.org/10.1007/s13353-024-00895-8","url":null,"abstract":"<p>The present investigation was taken up to study the G × E interaction and stability in 14 sugarcane clones during 2020–2021 and 2021–2022 at four different locations namely Pantnagar, Kashipur, Dhanauri (Haridwar), and Dhakrani (Dehradun) for cane yield (CY) and sugar yield (SY) at the 10-month and 12-month stages. The research aimed to identify stable, high-yielding sugarcane clones adaptable to diverse environmental conditions, enhancing productivity and profitability for farmers in Uttarakhand, India. The combined ANOVA revealed significant differences among the clones (22.20% to 29.54% variation), environments (35% to 39.62% variation), and their interactions (19.91% to 24.16% variation) for CY and SY at both stages. To analyze the stability of genotypes and G × E interactions, the GGE biplot method was employed. The first two PCs explained 77.94% for CY, 74.39% for SY at the 10-month stage, and 81.01% for SY at 12-month stage of the total variation of the GGE model. The GGE biplots revealed that for CY, the mega-environment exhibited CoPant 16222 and CoPant 16223 as the winning genotypes. For SY at the 10-month stage, CoPant 17221 and CoPant 16222 were the best clones in two different mega-environments, while at the 12-month stage, the mega-environment showed CoPant 16222 and CoPant 16223 as the winning genotypes. Dehradun (2020) and Kashipur (2020) were identified as the best test environments for selecting widely and specifically adapted genotypes, respectively, for CY and SY at the 10-month as well as 12-month stages. In a nutshell, GGE biplot analysis identified the best-performing sugarcane clones and best test environments in Uttarakhand, India. Clone CoPant 16222 showed high mean performance and stability for cane and sugar yield, making it suitable for recommendation to farmers.</p>","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":"67 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141773896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying key genes and functionally enriched pathways in acute myeloid leukemia by weighted gene co-expression network analysis.","authors":"Jimo Jian, Chenglu Yuan, Hongyuan Hao","doi":"10.1007/s13353-024-00881-0","DOIUrl":"https://doi.org/10.1007/s13353-024-00881-0","url":null,"abstract":"<p><p>Acute myeloid leukemia (AML) is characterized by the uncontrolled proliferation of myeloid leukemia cells in the bone marrow and other hematopoietic tissues and is highly heterogeneous. While with the progress of sequencing technology, understanding of the AML-related biomarkers is still incomplete. The purpose of this study is to identify potential biomarkers for prognosis of AML. Based on WGCNA analysis of gene mutation expression, methylation level distribution, mRNA expression, and AML-related genes in public databases were employed for investigating potential biomarkers for the prognosis of AML. This study screened a total of 6153 genes by analyzing various changes in 103 acute myeloid leukemia (AML) samples, including gene mutation expression, methylation level distribution, mRNA expression, and AML-related genes in public databases. Moreover, seven AML-related co-expression modules were mined by WGCNA analysis, and twelve biomarkers associated with the AML prognosis were identified from each top 10 genes of the seven co-expression modules. The AML samples were then classified into two subgroups, the prognosis of which is significantly different, based on the expression of these twelve genes. The differentially expressed 7 genes of two subgroups (HOXB-AS3, HOXB3, SLC9C2, CPNE8, MEG8, S1PR5, MIR196B) are mainly involved in glucose metabolism, glutathione biosynthesis, small G protein-mediated signal transduction, and the Rap1 signaling pathway. With the utilization of WGCNA mining, seven gene co-expression modules were identified from the TCGA database, and there are unreported genes that may be potential driver genes of AML and may be the direction to identify the possible molecular signatures to predict survival of AML patients and help guide experiments for potential clinical drug targets.</p>","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141558806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 high-risk non-synonymous SNPs (nsSNPs) in DNAH1 and DNAH17 genes associated with male infertility: a bioinformatics analysis.","authors":"Leila Navapour, Navid Mogharrab, Ali Parvin, Sahar Rezaei Arablouydareh, Ahmad Movahedpour, Mohamad Jebraeily, Mortaza Taheri-Anganeh, Hojat Ghasemnejad-Berenji","doi":"10.1007/s13353-024-00884-x","DOIUrl":"https://doi.org/10.1007/s13353-024-00884-x","url":null,"abstract":"<p><p>Male infertility is a significant reproductive issue affecting a considerable number of couples worldwide. While there are various causes of male infertility, genetic factors play a crucial role in its development. We focused on identifying and analyzing the high-risk nsSNPs in DNAH1 and DNAH17 genes, which encode proteins involved in sperm motility. A total of 20 nsSNPs for DNAH1 and 10 nsSNPs for DNAH17 were analyzed using various bioinformatics tools including SIFT, PolyPhen-2, CADD, PhD-SNPg, VEST-4, and MutPred2. As a result, V1287G, L2071R, R2356W, R3169C, R3229C, E3284K, R4096L, R4133C, and A4174T in DNAH1 gene and C1803Y, C1829Y, R1903C, and L3595P in DNAH17 gene were identified as high-risk nsSNPs. These nsSNPs were predicted to decrease protein stability, and almost all were found in highly conserved amino acid positions. Additionally, 4 nsSNPs were observed to alter post-translational modification status. Furthermore, the interaction network analysis revealed that DNAH1 and DNAH17 interact with DNAH2, DNAH3, DNAH5, DNAH7, DNAH8, DNAI2, DNAL1, CFAP70, DNAI3, DNAI4, ODAD1, and DNAI7, demonstrating the importance of DNAH1 and DNAH17 proteins in the overall functioning of the sperm motility machinery. Taken together, these findings revealed the detrimental effects of identified high-risk nsSNPs on protein structure and function and highlighted their potential relevance to male infertility. Further studies are warranted to validate these findings and to elucidate the underlying mechanisms.</p>","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141317391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Usefulness of alien sterilizing cytoplasms for the hybrid breeding of triticale (xTriticosecale Wittmack): preliminary results.","authors":"Magdalena Simlat, Tomasz Warzecha, Stefan Stojałowski, Halina Góral","doi":"10.1007/s13353-024-00882-z","DOIUrl":"https://doi.org/10.1007/s13353-024-00882-z","url":null,"abstract":"<p><p>To be useful for cereal breeding, cytoplasmic male sterility (CMS) should express the complete sterility of maternal lines and the full restoration of the male fertility of F₁ hybrids. The most reliable source of sterilizing cytoplasm for triticale is Triticum timopheevi; however, due to the low frequency of efficient non-restorer genotypes for this cytoplasm, new sources of CMS are needed. In this study, aside from T. timopheevi (T) cytoplasm, three alternative CMS sources were tested: Pampa (P) from Secale cereale L., Aegilops sharonensis (A), and Ae. ventricosa (V). The suitability of these cytoplasms for breeding was assessed based on the male fertility/sterility of F₁ hybrids obtained through the manual pollination of CMS maternal lines with 36 triticale cultivars and breeding strains. About half of the hybrids with each type of cytoplasm were fully fertile and produced more than 30 grains per bagged spike. The highest percentage was found in hybrids with P cytoplasm (58.33%) and the lowest in hybrids with A cytoplasm (44.44%). Male sterility was observed in hybrids with P cytoplasm (16.67%) and A cytoplasm (16.67%) but not in hybrids with T or V cytoplasm. In terms of practical aspects, male sterility systems with P or A cytoplasm exhibit similarity in their ability to restore male fertility that differ from the T and V cytoplasms. Although all studied cytoplasms exhibited some disadvantages for breeding purposes, none should be definitively classified as unacceptable for future breeding programs regarding the development of triticale hybrid cultivars.</p>","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141317392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discovery of core genes and intercellular communication role in osteosarcoma.","authors":"Fanyu Meng, Xinshe Zhou, Zhi Zhao, Lijia Pei, Weiguo Xia","doi":"10.1007/s13353-024-00872-1","DOIUrl":"https://doi.org/10.1007/s13353-024-00872-1","url":null,"abstract":"<p><p>Osteosarcoma is a primary malignant bone tumor that affects children and young adults. Understanding the molecular mechanisms underlying osteosarcoma is critical to develop effective treatments. This study aimed to identify core genes and explore the role of intercellular communication in osteosarcoma. We used GSE87437 and GSE152048 dataset to conduct a weighted correlation network analysis (WGCNA) and identify co-expression modules. The enriched biological processes and cellular components of the genes in the steelblue module were analyzed. Next, we explored the expression, diagnostic value, correlation, and association with immune infiltrate of CCSER1 and LOC101929154. Finally, we utilized CIBERSORT algorithm to predict the infiltrated immune cells in osteosarcoma tissues. Our results identified 44 co-expression modules, and the steelblue module was mainly associated with axon development, axonogenesis, and innervation. CCSER1 and LOC101929154 were significantly upregulated in osteosarcoma tissues with poor response to preoperative chemotherapy. Moreover, the expressions of CCSER1 and LOC101929154 were positively correlated. The area under the receiver operating characteristic curve of CCSER1 and LOC101929154 was 0.800 and 0.773, respectively. The expression of CCSER1 was negatively correlated with follicular helper T cells and positively correlated with M0 macrophages, while LOC101929154 was negatively correlated with activated mast cells. Besides, CD4 memory-activated T cells were observed at lower levels in patients who responded well to chemotherapy. Our study identified core genes CCSER1 and LOC101929154 and provided insight into the intercellular communication profile in osteosarcoma. Our results suggested that targeting CCSER1, LOC101929154, and CD4 memory-activated T cells may be a promising strategy for the treatment of osteosarcoma.</p>","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141175235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioinformatics screening of prognostic immune-related genes in renal clear cell carcinoma.","authors":"Kai Cui, He Song, Han Zhang, Peiyu Sun","doi":"10.1007/s13353-024-00878-9","DOIUrl":"https://doi.org/10.1007/s13353-024-00878-9","url":null,"abstract":"<p><p>This study aims to harness bioinformatics to identify prognostic immune-related genes in clear cell renal cell carcinoma (ccRCC), focusing particularly on LILRB3. It evaluates LILRB3's expression in ccRCC, its association with patient prognosis, and its potential as a biomarker for predicting survival, thereby providing a preliminary basis for the diagnosis of ccRCC. Utilizing The Cancer Genome Atlas (TCGA) datasets and an immune gene set, we sought immune-related genes with elevated expression in ccRCC. Seventy-two normal tissue samples and 531 ccRCC samples were analyzed, and differential genes were identified with a screening criterion of fold change (FC) > 2 and P value < 0.01. Survival analysis and receiver operating characteristic (ROC) curve analysis were employed to discover genes of prognostic and diagnostic relevance to ccRCC. Pearson correlation analysis with a cutoff of |r|≥ 0.5, facilitated by cBioPortal, assessed genes co-expressed with LILRB3. The DAVID online tool conducted functional and pathway enrichment analyses for LILRB3-coexpressed genes. The TIMER and TCIA databases were utilized to explore LILRB3's influence on immune infiltration in the tumor microenvironment and its relation to key immunological checkpoints. Screening the TCGA database revealed 3719 up-regulated differential genes in ccRCC, with 355 overlapping immune-related genes. Survival analysis of these 355 genes revealed 100 with significant survival impact. ROC curve analysis pinpointed the top 10 genes, including LILRB3, with the highest diagnostic efficiency. LILRB3 emerged as an independent risk factor from the Cox risk regression model. GO and KEGG analyses linked LILRB3 to various biological processes, including chemokine signaling pathways, immunological response, antigen processing and presentation, inflammatory response, T cell co-stimulation, and signal transduction. LILRB3 significantly affected ccRCC immune infiltration and correlated positively with several immunological checkpoints, such as PD-1, LAG3, IDO1, PD-L1, CTLA4, TIM3, TIGIT, and VISTA. LILRB3 shows higher expression levels in ccRCC than in normal tissues and correlates with poor patient prognosis. Its impactful role in the immune infiltration of the RCC microenvironment suggests that LILRB3 could serve as a novel target for ccRCC treatment and prognosis, underlining its diagnostic and prognostic significance.</p>","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141081465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High amylopectin in waxy maize synergistically affects seed germination and seedling vigour over traditional maize genotypes.","authors":"Zahirul A Talukder, Rashmi Chhabra, Sudipta Basu, Nisrita Gain, Subhra J Mishra, Ashwani Kumar, Rajkumar U Zunjare, Vignesh Muthusamy, Firoz Hossain","doi":"10.1007/s13353-024-00877-w","DOIUrl":"https://doi.org/10.1007/s13353-024-00877-w","url":null,"abstract":"<p><p>Waxy maize grains rich in amylopectin have emerged as a popular food and industrial raw materials. Here, a set of waxy inbreds having recessive waxy1 (wx1) gene derived through marker-assisted selection (MAS), and their original versions were evaluated for germination, seed vigour index-I and vigour index-II, electrical conductivity (EC) and enzymatic activities viz., dehydrogenase (DH), esterase (EST), peroxidase (POX), superoxide dismutase (SOD) and α-amylase (AMY). Waxy inbreds under study possessed average 97.8% amylopectin compared to 72.4% in original inbreds. Waxy versions showed 15.2% more test weight, 4.3% increase in germination, 22.7% higher seed vigour index-I and 28.3% higher seed vigour index-II, respectively, over the original inbreds. Further, activity of DH, EST, POX, SOD and AMY of MAS-derived waxy inbreds was more than that of original inbreds, whereas EC was less in improved inbreds compared to originals. Amylopectin exhibited strong positive correlations (r = 0.69 to 0.97**) with seed germination, vigour index-I and -II, DH, SOD, POX, EST and AMY activity. However, amylopectin showed negative correlation of - 0.82** with EC. Seed germination and seed vigour indices were also positively correlated with all enzymatic activities (r = 0.58 to 0.92**). The analysis revealed that waxy inbreds possess better seed vigour and enzymatic activities over traditional inbreds. This is the first report of synergistic effects of wx1 gene on seed germination, vigour and enzymatic activities in maize endosperm.</p>","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141075220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: Featured lncRNA‑based signature for discriminating prognosis and progression of hepatocellular carcinoma.","authors":"Huiyuan Qiu, Bo Jiang, Yinqi Chen, Zhaoyi Lin, Wenjie Zheng, Xiaolei Cao","doi":"10.1007/s13353-024-00845-4","DOIUrl":"10.1007/s13353-024-00845-4","url":null,"abstract":"","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":" ","pages":"415"},"PeriodicalIF":2.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139899904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"lncRNA MIAT promotes luminal B breast cancer cell proliferation, migration, and invasion in vitro.","authors":"Jintao Mi, Hongsheng Zhang, Xuemei Jiang, Ying Yi, Weiwei Cao, Chunjiao Song, Chengliang Yuan","doi":"10.1007/s13353-023-00807-2","DOIUrl":"10.1007/s13353-023-00807-2","url":null,"abstract":"<p><p>Long noncoding RNAs (lncRNAs) play a role in the emergence and progression of several human tumors, including luminal B breast cancer (BC). The biological functions and potential mechanisms of lncRNA myocardial infarction-associated transcripts (MIAT) in luminal B BC, on the contrary, are unknown. In this work, we used UALCAN database analysis to find high expression of lncRNA MIAT in luminal BC tissues and also confirmed high levels of lncRNA MIAT expression in luminal B BC tissues and cells. In vitro knockdown of MIAT inhibited the proliferation, migration, and invasion of BT474 cells. In addition, we found that miR-150-5p levels were significantly reduced in luminal B BC specimens and cells, and miR-150-5p levels were significantly increased when MIAT was knocked down. And TIMER database analysis showed that MIAT was positively associated with PDL1. Through bioinformatic tools and in vitro experiments, lncRNA MIAT could function as a competitive endogenous RNA (CeRNA) to further regulate programmed cell death ligand 1 (PDL1) expression by directly sponging miR-150-5p. In conclusion, our data suggest that MIAT, an oncogene, may sponge miR-150-5p to regulate PDL1 expression and affect proliferation, migration, and invasion in luminal B BC in vitro.</p>","PeriodicalId":14891,"journal":{"name":"Journal of Applied Genetics","volume":" ","pages":"309-319"},"PeriodicalIF":2.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138176238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}