Plant Genome最新文献_第9页

Genome-wide association study uncovers pea candidate genes and metabolic pathways involved in rust resistance. 全基因组关联研究发现了豌豆抗锈病的候选基因和代谢途径。

IF 3.9 2区生物学

Plant Genome Pub Date : 2024-12-01 Epub Date: 2024-10-29 DOI: 10.1002/tpg2.20510

Salvador Osuna-Caballero, Diego Rubiales, Nicolas Rispail

{"title":"Genome-wide association study uncovers pea candidate genes and metabolic pathways involved in rust resistance.","authors":"Salvador Osuna-Caballero, Diego Rubiales, Nicolas Rispail","doi":"10.1002/tpg2.20510","DOIUrl":"10.1002/tpg2.20510","url":null,"abstract":"Pea (Pisum sativum L.) is an important temperate legume crop providing plant-based proteins for food and feed worldwide. Pea yield can be limited by several biotic stresses, among which rust represents a major limiting factor in many temperate and subtropical regions. Some efforts have been made to assess the natural variation in pea resistance to rust, but its efficient exploitation in breeding is limited since the resistance loci identified so far are scarce and their responsible gene(s) unknown. To overcome this knowledge gap, a comprehensive genome-wide association study (GWAS) has been performed on pea rust, caused by Uromyces pisi, to uncover genetic loci associated with resistance. Utilizing a diverse collection of 320 pea accessions, we evaluated phenotypic responses to two rust isolates using both traditional methods and advanced image-based phenotyping. We detected 95 significant trait-marker associations using a set of 26,045 Diversity Arrays Technology-sequencing polymorphic markers. Our in silico analysis identified 62 candidate genes putatively involved in rust resistance, grouped into different functional categories such as gene expression regulation, vesicle trafficking, cell wall biosynthesis, and hormonal signaling. This research highlights the potential of GWAS to identify molecular markers associated with resistance and candidate genes against pea rust, offering new targets for precision breeding. By integrating our findings into current breeding programs, we can facilitate the development of pea varieties with improved resistance to rust, contributing to sustainable agricultural practices and food security. This study sets the stage for future functional genomic analyses and the application of genomic selection approaches to enhance disease resistance in peas.","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20510"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11628884/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548522","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}

引用次数: 0

Development and implementation of nested single-nucleotide polymorphism (SNP) assays for breeding and genetic research applications. 开发和实施用于育种和基因研究的嵌套单核苷酸多态性（SNP）测定。

IF 3.9 2区生物学

Plant Genome Pub Date : 2024-09-01 Epub Date: 2024-07-22 DOI: 10.1002/tpg2.20491

Qijian Song, Charles Quigley, Ruifeng He, Dechun Wang, Henry Nguyen, Carrie Miranda, Zenglu Li

{"title":"Development and implementation of nested single-nucleotide polymorphism (SNP) assays for breeding and genetic research applications.","authors":"Qijian Song, Charles Quigley, Ruifeng He, Dechun Wang, Henry Nguyen, Carrie Miranda, Zenglu Li","doi":"10.1002/tpg2.20491","DOIUrl":"10.1002/tpg2.20491","url":null,"abstract":"SoySNP50K and SoySNP6K are commonly used for soybean (Glycine max) genotyping. The SoySNP50K assay has been used to genetically analyze the entire USDA Soybean Germplasm Collection, while the SoySNP6K assay, containing a subset of 6000 single-nucleotide polymorphisms (SNPs) from SoySNP50K, has been used for quantitative trait loci mapping of different traits. To meet the needs for genomic selection, selection of parents for crosses, and characterization of breeding populations, especially early selection of ideal offspring from thousands of lines, we developed two assays, SoySNP3K and SoySNP1K, containing 3072 and 1252 SNPs, respectively, based on SoySNP50K and SoySNP6K mark sets. These two assays also contained the trait markers reported or contributed by soybean breeders. The SNPs in the SoySNP3K are a subset from SoySNP6K, while the SNPs in the SoySNP1K are a subset from SoySNP3K. These SNPs were chosen to reduce the SNP number in the large linkage blocks while capturing as much of the haplotype diversity as possible. They are highly polymorphic and of high quality. The mean minor allele frequencies of the SNPs in the southern and northern US elites were 0.25 and 0.27 for SoySNP3K, respectively, and 0.29 and 0.33 for SoySNP1K. The selected SNPs are a valuable source for developing targeted amplicon sequencing assay or beadchip assay in soybean. SoySNP3K and SoySNP1K assays are commercialized by Illumina Inc. and AgriPlex Genomics, respectively. Together with SoySNP50K and SoySNP6K, a series of nested assays with different marker densities will serve as additional low-cost genomic tools for genetic, genomic, and breeding research.","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20491"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141735380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Genome-wide identification of bZIP transcription factors in 12 Rosaceae species and modeling of novel mechanisms of EjbZIPs response to salt stress. 12 种蔷薇科植物中 bZIP 转录因子的全基因组鉴定以及 EjbZIPs 应对盐胁迫的新机制建模。

IF 3.9 2区生物学

Plant Genome Pub Date : 2024-09-01 Epub Date: 2024-06-05 DOI: 10.1002/tpg2.20468

Ling Zhu, Mengjie Zhang, Xiuyao Yang, Yinqiang Zi, Tuo Yin, Xulin Li, Ke Wen, Ke Zhao, Jiaqiong Wan, Huiyun Zhang, Xinping Luo, Hanyao Zhang

{"title":"Genome-wide identification of bZIP transcription factors in 12 Rosaceae species and modeling of novel mechanisms of EjbZIPs response to salt stress.","authors":"Ling Zhu, Mengjie Zhang, Xiuyao Yang, Yinqiang Zi, Tuo Yin, Xulin Li, Ke Wen, Ke Zhao, Jiaqiong Wan, Huiyun Zhang, Xinping Luo, Hanyao Zhang","doi":"10.1002/tpg2.20468","DOIUrl":"10.1002/tpg2.20468","url":null,"abstract":"In plantae, basic leucine zipper (bZIP) transcription factors (TFs) are widespread and regulate a variety of biological processes under abiotic stress. However, it has not been extensively studied in Rosaceae, and the functional effects of bZIP on Eriobotrya japonica under salt stress are still unknown. Therefore, in this study, the bZIP TF family of 12 species of Rosaceae was analyzed by bioinformatics method, and the expression profile and quantitative real-time polymerase chain reaction of E. japonica under salt stress were analyzed. The results showed that a total of 869 bZIP TFs were identified in 12 species of Rosaceae and divided into nine subfamilies. Differences in promoter cis-elements between subfamilies vary depending on their role. Species belonging to the same subfamily have a similar number of chromosomes and the number of genes contained on each chromosome. Gene duplication analysis has found segmental duplication to be a prime force in the evolution of Rosaceae species. In addition, nine EjbZIPs were significantly different, including seven up-regulated and two down-regulated in E. japonica under salt stress. Especially, EjbZIP13 was involved in the expression of SA-responsive proteins by binding to the NPR1 gene. EjbZIP27, EjbZIP30, and EjbZIP38 were highly expressed in E. japonica under salt stress, thus improving the salt tolerance capacity of the plants. These results can provide a theoretical basis for exploring the characteristics and functions of the bZIP TF family in more species and breeding salt-tolerant E. japonica varieties. It also provides a reference for resolving the response mechanism of bZIP TF in 12 Rosaceae species under salt stress.","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20468"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141263133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Genomic-wide analysis reveals seven in absentia genes regulating grain development in wheat (Triticum aestivum L.). 全基因组分析揭示了调节小麦（Triticum aestivum L.）谷粒发育的七个缺失基因。

IF 3.9 2区生物学

Plant Genome Pub Date : 2024-09-01 Epub Date: 2024-06-05 DOI: 10.1002/tpg2.20480

Tao Chen, Yongping Miao, Fanli Jing, Weidong Gao, Yanyan Zhang, Long Zhang, Peipei Zhang, Lijian Guo, Delong Yang

{"title":"Genomic-wide analysis reveals seven in absentia genes regulating grain development in wheat (Triticum aestivum L.).","authors":"Tao Chen, Yongping Miao, Fanli Jing, Weidong Gao, Yanyan Zhang, Long Zhang, Peipei Zhang, Lijian Guo, Delong Yang","doi":"10.1002/tpg2.20480","DOIUrl":"10.1002/tpg2.20480","url":null,"abstract":"Seven in absentia proteins, which contain a conserved SINA domain, are involved in regulating various aspects of wheat (Triticum aestivum L.) growth and development, especially in response to environmental stresses. However, it is unclear whether TaSINA family members are involved in regulating grain development until now. In this study, the expression pattern, genomic polymorphism, and relationship with grain-related traits were analyzed for all TaSINA members. Most of the TaSINA genes identified showed higher expression levels in young wheat spikes or grains than other organs. The genomic polymorphism analysis revealed that at least 62 TaSINA genes had different haplotypes, where the haplotypes of five genes were significantly correlated with grain-related traits. Kompetitive allele-specific PCR markers were developed to confirm the single nucleotide polymorphisms in TaSINA101 and TaSINA109 among the five selected genes in a set of 292 wheat accessions. The TaSINA101-Hap II and TaSINA109-Hap II haplotypes had higher grain weight and width compared to TaSINA101-Hap I and TaSINA109-Hap I in at least three environments, respectively. The qRT-PCR assays revealed that TaSINA101 was highly expressed in the palea shell, seed coat, and embryo in young wheat grains. The TaSINA101 protein was unevenly distributed in the nucleus when transiently expressed in the protoplast of wheat. Three homozygous TaSINA101 transgenic lines in rice (Oryza sativa L.) showed higher grain weight and size compared to the wild type. These findings provide valuable insight into the biological function and elite haplotype of TaSINA family genes in wheat grain development at a genomic-wide level.","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20480"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141263135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Elucidation of the genetic architecture of water absorption capacity in hard winter wheat through genome wide association study. 通过全基因组关联研究阐明硬冬小麦吸水能力的遗传结构。

IF 3.9 2区生物学

Plant Genome Pub Date : 2024-09-01 Epub Date: 2024-08-27 DOI: 10.1002/tpg2.20500

Meseret A Wondifraw, Zachary J Winn, Scott D Haley, John A Stromberger, Emily E Hudson-Arns, R Esten Mason

{"title":"Elucidation of the genetic architecture of water absorption capacity in hard winter wheat through genome wide association study.","authors":"Meseret A Wondifraw, Zachary J Winn, Scott D Haley, John A Stromberger, Emily E Hudson-Arns, R Esten Mason","doi":"10.1002/tpg2.20500","DOIUrl":"10.1002/tpg2.20500","url":null,"abstract":"Water absorption capacity (WAC) influences various aspects of bread making, such as loaf volume, bread yield, and shelf life. Despite its importance in the baking process and end-product quality, its genetic determinants are less explored. To address this limitation, a genome-wide association study was conducted on 337 hard wheat (Triticum aestivum L.) genotypes evaluated over 5 years in multi-environmental trials. Phenotyping was done using the solvent retention capacity (SRC) test with water (SRC-water), sucrose (SRC-sucrose), lactic acid (SRC-lactic acid), and sodium carbonate (SRC-carbonate) as solvents. Individuals were genotyped using genotyping-by-sequencing to detect single nucleotide polymorphisms across the wheat genome. To detect the genomic regions that underline the SRCs and gluten performance index (GPI), a genome-wide association study was performed using six multi-locus models using the mrMLM package in R. Adjusted means for SRC-water ranged from 54.1% to 66.5%, while SRC-carbonate exhibited a narrow range from 84.9% to 93.9%. Moderate to high genomic heritability values were observed for SRCs and GPI, ranging from h2 = 0.61 to 0.88. The genome-wide association study identified a total of 42 quantitative trait nucleotides (QTNs), of which five explained over 10% of the phenotypic variation (R2 ≥ 10%). Most of the QTNs were detected on chromosomes 1A, 1B, 3B, and 5B. Few QTNs, such as S1A_5190318, S1B_3282665, S4D_472908721, and S7A_37433960, were located near gliadin, glutenin starch synthesis, and galactosyltransferase genes. Overall, these results show WAC to be under polygenic genetic control, with genes involved in the synthesis of key flour components influencing overall water absorption.","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20500"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Genome-wide analysis of HD-Zip genes in Sophora alopecuroides and their role in salt stress response. 槐树 HD-Zip 基因的全基因组分析及其在盐胁迫响应中的作用。

IF 3.9 2区生物学

Plant Genome Pub Date : 2024-09-01 Epub Date: 2024-08-28 DOI: 10.1002/tpg2.20504

Youcheng Zhu, Di Wang, Fan Yan, Le Wang, Ying Wang, Jingwen Li, Xuguang Yang, Ziwei Gao, Xu Liu, Yajing Liu, Qingyu Wang

{"title":"Genome-wide analysis of HD-Zip genes in Sophora alopecuroides and their role in salt stress response.","authors":"Youcheng Zhu, Di Wang, Fan Yan, Le Wang, Ying Wang, Jingwen Li, Xuguang Yang, Ziwei Gao, Xu Liu, Yajing Liu, Qingyu Wang","doi":"10.1002/tpg2.20504","DOIUrl":"10.1002/tpg2.20504","url":null,"abstract":"We aimed to identify HD-Zip (homologous domain leucine zipper) family genes based on the complete Sophora alopecuroides genome sequence. Eighty-six Sophora alopecuroides HD-Zip family (SaHDZ) genes were identified and categorized into four subclasses using phylogenetic analysis. Chromosome localization analysis revealed that these genes were distributed across 18 chromosomes. Gene structure and conserved motif analysis showed high similarity among members of the SaHDZ genes. Prediction analysis revealed 71 cis-acting elements in SaHDZ genes. Transcriptome and quantitative real-time polymerase chain reaction analyses showed that under salt stress, SaHDZ responded positively in S. alopecuroides, and that SaHDZ22 was significantly upregulated afterward. Functional verification experiments revealed that SaHDZ22 overexpression increased the tolerance of Arabidopsis to salt and osmotic stress. Combined with cis-acting element prediction and expression level analysis, HD-Zip family transcription factors may be involved in regulating the balance between plant growth and stress resistance under salt stress by modulating the expression of auxin and abscisic acid signaling pathway genes. The Sophora alopecuroides adenylate kinase protein (SaAKI) and S. alopecuroides tetrapeptide-like repeat protein (SaTPR; pCAMBIA1300-SaTPR-cLUC) expression levels were consistent with those of SaHDZ22, indicating that SaHDZ22 may coordinate with SaAKI and SaTPR to regulate plant salt tolerance. These results lay a foundation in understanding the salt stress response mechanisms of S. alopecuroides and provide a reference for future studies oriented toward exploring plant stress resistance.","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20504"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142094007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Plant Genome Annual Report, 2023. 植物基因组年度报告，2023 年。

IF 3.9 2区生物学

Plant Genome Pub Date : 2024-09-01 Epub Date: 2024-05-22 DOI: 10.1002/tpg2.20479

引用次数: 0

Genomic selection optimization in blueberry: Data-driven methods for marker and training population design. 蓝莓基因组选择优化：标记和训练群体设计的数据驱动方法。

IF 3.9 2区生物学

Plant Genome Pub Date : 2024-09-01 Epub Date: 2024-08-01 DOI: 10.1002/tpg2.20488

Paul Adunola, Luis Felipe V Ferrão, Juliana Benevenuto, Camila F Azevedo, Patricio R Munoz

{"title":"Genomic selection optimization in blueberry: Data-driven methods for marker and training population design.","authors":"Paul Adunola, Luis Felipe V Ferrão, Juliana Benevenuto, Camila F Azevedo, Patricio R Munoz","doi":"10.1002/tpg2.20488","DOIUrl":"10.1002/tpg2.20488","url":null,"abstract":"Genomic prediction is a modern approach that uses genome-wide markers to predict the genetic merit of unphenotyped individuals. With the potential to reduce the breeding cycles and increase the selection accuracy, this tool has been designed to rank genotypes and maximize genetic gains. Despite this importance, its practical implementation in breeding programs requires critical allocation of resources for its application in a predictive framework. In this study, we integrated genetic and data-driven methods to allocate resources for phenotyping and genotyping tailored to genomic prediction. To this end, we used a historical blueberry (Vaccinium corymbosun L.) breeding dataset containing more than 3000 individuals, genotyped using probe-based target sequencing and phenotyped for three fruit quality traits over several years. Our contribution in this study is threefold: (i) for the genotyping resource allocation, the use of genetic data-driven methods to select an optimal set of markers slightly improved prediction results for all the traits; (ii) for the long-term implication, we carried out a simulation study and emphasized that data-driven method results in a slight improvement in genetic gain over 30 cycles than random marker sampling; and (iii) for the phenotyping resource allocation, we compared different optimization algorithms to select training population, showing that it can be leveraged to increase predictive performances. Altogether, we provided a data-oriented decision-making approach for breeders by demonstrating that critical breeding decisions associated with resource allocation for genomic prediction can be tackled through a combination of statistics and genetic methods.","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20488"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141861364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Genome-wide association study of carotenoids in maize kernel. 玉米仁中类胡萝卜素的全基因组关联研究。

IF 3.9 2区生物学

Plant Genome Pub Date : 2024-09-01 Epub Date: 2024-08-12 DOI: 10.1002/tpg2.20495

Weiwei Chen, Xiangbo Zhang, Chuanli Lu, Hailong Chang, Zaid Chachar, Lina Fan, Yuxing An, Xuhui Li, Yongwen Qi

引用次数: 0

Machine learning for genomic and pedigree prediction in sugarcane. 用于甘蔗基因组和血统预测的机器学习。

IF 3.9 2区生物学

Plant Genome Pub Date : 2024-09-01 Epub Date: 2024-06-26 DOI: 10.1002/tpg2.20486

Minoru Inamori, Tatsuro Kimura, Masaaki Mori, Yusuke Tarumoto, Taiichiro Hattori, Michiko Hayano, Makoto Umeda, Hiroyoshi Iwata

{"title":"Machine learning for genomic and pedigree prediction in sugarcane.","authors":"Minoru Inamori, Tatsuro Kimura, Masaaki Mori, Yusuke Tarumoto, Taiichiro Hattori, Michiko Hayano, Makoto Umeda, Hiroyoshi Iwata","doi":"10.1002/tpg2.20486","DOIUrl":"10.1002/tpg2.20486","url":null,"abstract":"Sugarcane (Saccharum spp.) plays a crucial role in global sugar production; however, the efficiency of breeding programs has been hindered by its heterozygous polyploid genomes. Considering non-additive genetic effects is essential in genome prediction (GP) models of crops with highly heterozygous polyploid genomes. This study incorporates non-additive genetic effects and pedigree information using machine learning methods to track sugarcane breeding lines and enhance the prediction by assessing the degree of association between genotypes. This study measured the stalk biomass and sugar content of 297 clones from 87 families within a breeding population used in the Japanese sugarcane breeding program. Subsequently, we conducted analyses based on the marker genotypes of 33,149 single-nucleotide polymorphisms. To validate the accuracy of GP in the population, we first predicted the prediction accuracy of the best linear unbiased prediction (BLUP) based on a genomic relationship matrix. Prediction accuracy was assessed using two different cross-validation methods: repeated 10-fold cross-validation and leave-one-family-out cross-validation. The accuracy of GP of the first and second methods ranged from 0.36 to 0.74 and 0.15 to 0.63, respectively. Next, we compared the prediction accuracy of BLUP and two machine learning methods: random forests and simulation annealing ensemble (SAE), a newly developed machine learning method that explicitly models the interaction between variables. Both pedigree and genomic information were utilized as input in these methods. Through repeated 10-fold cross-validation, we found that the accuracy of the machine learning methods consistently surpassed that of BLUP in most cases. In leave-one-family-out cross-validation, SAE demonstrated the highest accuracy among the methods. These results underscore the effectiveness of GP in Japanese sugarcane breeding and highlight the significant potential of machine learning methods.","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":" ","pages":"e20486"},"PeriodicalIF":3.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141460146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0