Forestry research最新文献

{"title":"Assessing the accuracy of forest above-ground biomass and carbon storage estimation by meta-analysis based close-range remote sensing.","authors":"Jincheng Liu, Zhuo Chen, Ziyu Zhao","doi":"10.48130/forres-0025-0017","DOIUrl":"10.48130/forres-0025-0017","url":null,"abstract":"<p><p>The swift progress of close-range remote sensing necessitates a quantitative evaluation of its accuracy in estimating forest above-ground biomass (AGB) across diverse scales, forest types, methodologies, and variables. These evaluations will enhance the effectiveness of remote sensing in forest monitoring, reveal the carbon sequestration capability of forest vegetation, and underscore the critical function of forests as terrestrial carbon sinks. In this study, we designated <i>R</i> ² as the effect size for the meta-analysis given that it is commonly regarded as a measure for estimating accuracy in AGB research, which indicates the explanatory capacity of independent variables. Utilizing 187 global investigations and 233 datasets, this research systematically assessed the accuracy (<i>R</i> ²) of ground light detection and ranging (LiDAR), unmanned aerial vehicles (UAVs), spectra, and red-green-blue (RGB) sensors across the single-tree, plot, and stand scales. The discrepancies in accuracy across the various research methods and the independent variables in the allometric growth equation were also assessed. The research indicated that ground lidar exhibited the best accuracy across all studies and was the most effective approach at both the single-tree and plot scales. Nonetheless, as the scale of the research broadened, both accuracy and sample size diminished. Furthermore, the variations from different approaches among different forest types were substantial; therefore, it was necessary to model these forest types explicitly. By integrating diameter at breast height (DBH or D) and tree height (H) as independent variables in the allometric growth equation, the method showed improved estimation accuracy. The estimation of AGB must address the issue of accumulated error arising from the interconversion of DBH and H, single-tree segmentation, and specific allometric growth equations, which are subsequently compounded at the plot and stand levels. Close-range remote sensing is currently the most efficient method for estimating forest AGB, surpassing conventional measurement techniques. Yet, due to sensor limitations, no single sensor achieved optimal results independently. The integration of multi-source data and scale adaptation strategies further enhanced the efficacy of close-range remote sensing, surpassing the conventional survey methods. Moving forward, efforts should prioritize cross-platform data standardization, deep learning model refinement, and the establishment of non-destructive validation systems to support high-precision forest carbon monitoring, in alignment with carbon management goals.</p>","PeriodicalId":520285,"journal":{"name":"Forestry research","volume":"5 ","pages":"e017"},"PeriodicalIF":5.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12441908/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of an endogenous promoter-driven CRISPR/Cas9 system for genome editing in <i>Fraxinus mandshurica</i>.","authors":"Shangzhu Gao, Mengfan Zhao, Siyu Sun, Xin Fan, Jialin Yan, Ying Xin, Yaguang Zhan, Fansuo Zeng","doi":"10.48130/forres-0025-0016","DOIUrl":"10.48130/forres-0025-0016","url":null,"abstract":"<p><p>CRISPR/Cas9-mediated genome editing has revolutionized tree improvement by enabling precise trait modification, accelerating breeding cycles, and enhancing forestry sustainability. <i>Fraxinus mandshurica</i>, valued for its desirable traits and adaptability, serves as a strategic focus for the National Reserve Forest Project (NRFP) and forestry germplasm resource breeding and quality improvement in China. Developing a species-specific genome editing system is crucial for valuable yet recalcitrant species like <i>F. mandshurica</i>. In this study, the development of a species-specific CRISPR/Cas9 platform is presented for <i>F. mandshurica</i>, which incorporates endogenous promoter engineering, sgRNA optimization, light quality modulation, and temperature control protocols to enhance genome editing efficiency. Truncated endogenous <i>FmU6</i> promoter variants (<i>FmU6-6-4</i> and <i>FmU6-7-4</i>) drove sgRNA expression at levels 3.36 and 3.11 times higher than that of the <i>AtU6-26</i> promoter. The expression of Cas9 was controlled by the endogenous constitutive <i>FmECP3</i> promoter, exhibiting an activity 5.48 times greater than the positive control. A highly active sgRNA4 targeting <i>FmPDS1/2</i> was identified, demonstrating a cleavage efficiency of 36.10%. Heat treatment at 37 °C effectively increased the Cas9 cleavage efficiency to 7.77 times that observed at 22 °C. Chimeric albino mutants with an editing efficiency of 18.2% were obtained through transient and stable transformations, combined with light quality optimization and heat treatment during different regeneration stages. The mutation types included nucleotide insertions, deletions, and substitutions, leading to early termination codons and truncated FmPDS1/2 protein. Additionally, mutations in <i>FmPDS1/2</i> resulted in albino phenotypes and a reduction in chlorophyll content to 46.44%-58.88%. This optimized system provides a robust platform for functional genomics studies and trait improvement in <i>F. mandshurica</i>, with potential applications in forestry biotechnology.</p>","PeriodicalId":520285,"journal":{"name":"Forestry research","volume":"5 ","pages":"e016"},"PeriodicalIF":5.0,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12441911/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photoprotective pigment plasticity and cold acclimation strategies in <i>Cryptomeria japonica</i> across two common gardens.","authors":"Qingmin Han, Norihisa Kusumoto, Seiichi Kanetani, Yoshihisa Suyama, Yuki Tsujii, Daisuke Kabeya, Yoshihiko Tsumura, Kentaro Uchiyama","doi":"10.48130/forres-0025-0015","DOIUrl":"10.48130/forres-0025-0015","url":null,"abstract":"<p><p>To cope with winter stress from low temperatures and excessive light, evergreen conifers employ seasonal adjustments in photosynthetic function. Understanding these regulatory mechanisms is critical for predicting coniferous forest responses to climate change and their role in the global carbon cycle. To assess variation in cold acclimation strategies, the following were analyzed: pigment composition, photochemical efficiency of photosystem II, and photosynthetic parameters in three to five provenances (Prv) of <i>Cryptomeria japonica</i> grown in two common gardens (CGs) with contrasting climates. All Prv exhibited winter chlorophyll reduction, increased xanthophyll cycle, lutein pigments, and rhodoxanthin accumulation, reflecting conserved photoprotective responses. However, needle chlorophyll concentrations were unexpectedly higher in the colder site, especially in the northernmost Prv, suggesting genotype-specific plasticity. Higher rhodoxanthin levels in the hotter sites indicated a trade-off between the xanthophyll cycle and rhodoxanthin-mediated protection governed by winter severity. Despite these differences, values of photochemical efficiency of photosystem II were similar among Prv within each garden, though consistently higher in the hotter garden. No significant variation in photosynthetic capacity was detected among the three Prv measured. This local adaptation is further supported by high phenotypic plasticity in pigment composition and leaf morphology. These findings highlight the diverse and flexible mechanisms by which <i>C. japonica</i> regulates pigment composition, enabling sustained photosynthesis across seasonal extremes, and suggest a role for both winter cold and summer heat in shaping local adaptation in this widely distributed conifer.</p>","PeriodicalId":520285,"journal":{"name":"Forestry research","volume":"5 ","pages":"e015"},"PeriodicalIF":5.0,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12441905/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gene regulatory network prediction using machine learning, deep learning, and hybrid approaches.","authors":"Sai Teja Mummadi, Md Khairul Islam, Victor Busov, Hairong Wei","doi":"10.48130/forres-0025-0014","DOIUrl":"10.48130/forres-0025-0014","url":null,"abstract":"<p><p>Construction of gene regulatory networks (GRNs) is essential for elucidating the regulatory mechanisms underlying metabolic pathways, biological processes, and complex traits. In this study, we developed and evaluated machine learning, deep learning, and hybrid approaches for constructing GRNs by integrating prior knowledge and large-scale transcriptomic data from <i>Arabidopsis thaliana</i>, poplar, and maize. Among these, hybrid models that combined convolutional neural networks and machine learning consistently outperformed traditional machine learning and statistical methods, achieving over 95% accuracy on the holdout test datasets. These models not only identified a greater number of known transcription factors regulating the lignin biosynthesis pathway but also demonstrated higher precision in ranking key master regulators such as MYB46 and MYB83, as well as many upstream regulators, including members of the VND, NST, and SND families, at the top of candidate lists. To address the challenge of limited training data in non-model species, we implemented transfer learning, enabling cross-species GRN inference by applying models trained on well-characterized and data-rich species to another species with limited data. This strategy enhanced model performance and demonstrated the feasibility of knowledge transfer across species. Overall, our findings underscore the effectiveness of hybrid and transfer learning approaches in GRN prediction, offering a scalable framework for elucidating regulatory mechanisms in both model and non-model plant systems.</p>","PeriodicalId":520285,"journal":{"name":"Forestry research","volume":"5 ","pages":"e014"},"PeriodicalIF":5.0,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12441907/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<i>PORA1/2</i>-dependent chlorophyll biosynthesis coordinates with carotenoid accumulation to drive petal color patterning in <i>Liriodendron</i>.","authors":"Lingfeng Hu, Yongwei Zhu, Long Yu, Lu Lu, Yingxuan Ma, Renhua Zheng, Jinfang Zhang, Longying Pan, Jinhui Chen, Zhaodong Hao, Jisen Shi","doi":"10.48130/forres-0025-0013","DOIUrl":"10.48130/forres-0025-0013","url":null,"abstract":"<p><p><i>Liriodendron</i> is a highly valued ornamental genus renowned for its distinctive tulip-shaped flowers. Despite its horticultural importance, the molecular mechanisms underlying interspecific variation in petal coloration, namely green petals in <i>Liriodendron chinense</i> (Hemsl.) Sargent, an orange-yellow basal band in <i>Liriodendron tulipifera</i> Linn., and an extended orange-yellow band in their hybrid, remain poorly understood. By integrating morphological, transcriptomic, and metabolomic analyses, we found that orange-yellow pigmentation during petal development is closely associated with chlorophyll degradation and carotenoid biosynthesis. The expression of chlorophyll synthesis genes <i>PORA1</i> and <i>PORA2</i> showed a strong positive correlation with chlorophyll content, and their downregulation led to disrupted chloroplast structure and reduced chlorophyll levels. Concurrently, carotenoid biosynthesis genes <i>CRTISO</i> and <i>LCYE</i> were markedly upregulated during the formation of the colored petal band. These results highlight the synergistic roles of chlorophyll and carotenoid metabolism in determining petal color patterning in <i>Liriodendron</i>, providing a genetic basis for the targeted breeding of ornamental traits.</p>","PeriodicalId":520285,"journal":{"name":"Forestry research","volume":"5 ","pages":"e013"},"PeriodicalIF":5.0,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12441795/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of <i>Malus sieversii</i> ABA receptor PYL8 interacting proteome using Y2H-seq.","authors":"Zhen Fang, Meiyun Li, Jing Li, Juan Ma, Kai Zhang, Chunyu Yang, Chunxiu Ye","doi":"10.48130/forres-0025-0012","DOIUrl":"10.48130/forres-0025-0012","url":null,"abstract":"<p><p>The seed dormancy of <i>Malus sieversii</i> belongs to the comprehensive type of dormancy, abscisic acid (ABA) is one of the important hormones to lift the seed dormancy. The ABA receptor pyrabactin resistance-like (PYL) protein is involved in seed germination and various stress responses. Fourteen <i>MsPYL</i> genes were evaluated in the genome of <i>Malus sieversii</i>. Phylogenetic analyses demonstrated that MsPYL proteins can be divided into three groups. The promoter regions of <i>MsPYL</i> genes contain cis-acting elements associated with expression induction by abiotic stresses such as abscisic acid, drought, and low temperature. <i>Arabidopsis</i> transgenic lines overexpressing <i>MsPYL8</i> exhibited a markedly reduced germination rate, an extended growth period, and a reduction in the biomass of the aboveground parts compared to the wild type. Additionally, we found that MsPYL8 interacted with 30 proteins, including low-temperature-induced 65 kDa protein-like (LTI) and late embryogenesis abundant (LEA). The results demonstrated that PYL8 binds to ABA during seed germination, inhibits the dephosphorylation activity of protein phosphatases type 2C (PP2C), and activates the transmission of sucrose non-fermenting-1-related protein kinases 2s (SnRK2s) to abscisic acid insensitive 5 (ABI5) signaling, thereby activating the expression of ABA-responsive genes to regulate ABA signal transduction. The screening and validation of PYL8 interaction with LTI, and LTI interaction with ABI5, provides a foundation for further elucidation of the mechanism of <i>PYL</i> gene involvement in <i>Malus sieversii</i> seed dormancy lifting under the regulation of the ABA signaling pathway.</p>","PeriodicalId":520285,"journal":{"name":"Forestry research","volume":"5 ","pages":"e012"},"PeriodicalIF":5.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12441796/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of stand structural diversity on carbon storage of Masson pine forests in Fengyang Mountain Nature Reserve, China.","authors":"Yongzhao Miao, Ran Tong, Nianfu Zhu, Song Chen, Fang Zhou, G Geoff Wang, Tonggui Wu","doi":"10.48130/forres-0025-0010","DOIUrl":"10.48130/forres-0025-0010","url":null,"abstract":"<p><p>Stand structural diversity, encompassing spatial and non-spatial dimensions, is a key indicator of forest carbon storage, yet its relative impacts on multiple carbon pools remain unclear. Additionally, whether structural diversity consistently influences carbon storage across overstory, understory, and soil layers is uncertain. This study examined carbon storage dynamics across 13 secondary Masson pine forests within the Fengyang Mountain Nature Reserve. Principal component analysis was used to classify the stands into three types based on their spatial and non-spatial structural diversity: Type I (high spatial and high non-spatial diversity), Type II (high spatial but low non-spatial diversity), and Type III (low spatial and low non-spatial diversity). Total carbon storage was highest in Type I, while carbon storage in the understory layers was lowest in this type. Spatial structural diversity had a stronger influence on carbon storage than non-spatial diversity, with the uniform angle index primarily affecting overstory carbon storage, and the crowding index influenced understory carbon storage. Random forest analysis identified biomass and structural diversity as major predictors of carbon storage. Partial least squares path modeling revealed that spatial structural diversity indirectly increased overstory and soil carbon storage, but reduced understory carbon storage by modulating biomass. Our results highlight that spatial structural diversity is a dominant driver of carbon storage in forest ecosystems, with contrasting effects on overstory, understory, and soil layers, underscoring its critical role in regulating forest carbon dynamics.</p>","PeriodicalId":520285,"journal":{"name":"Forestry research","volume":"5 ","pages":"e011"},"PeriodicalIF":5.0,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12441239/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The ASYMMETRIC LEAVES1 ortholog PagAS1a promotes xylem development and plant growth in <i>Populus</i>.","authors":"Yingzi Li, Yunlong Li, Bo Zhang, Aimin Wu, Lijun Liu","doi":"10.48130/forres-0025-0011","DOIUrl":"10.48130/forres-0025-0011","url":null,"abstract":"<p><p>ASYMMETRIC LEAVES1 (AS1) is a central regulator of leaf polarity establishment in <i>Arabidopsis</i>. However, the functions of its ortholog genes in <i>Populus</i> are unclear. In this study, we performed gene expression analysis and found that the <i>AS1</i> ortholog gene <i>PagAS1a</i> exhibited significantly higher expression levels in the secondary phloem than in the secondary xylem within the wood formation zone. Subcellular localization analysis showed that <i>PagAS1a</i> localizes in the nuclei. Compared to the wild type, both <i>PagAS1a</i> overexpression (<i>PagAS1a</i>-OE), and dominant repression (<i>PagAS1a</i>-SRDX) plants exhibited enhanced height and stem diameter growth. Analysis of stem cross-sections revealed that both overexpression and dominant repression of <i>PagAS1</i> promoted secondary xylem development. We performed transcriptome sequencing (RNA-seq) for gene expression analysis, and identified 2,736 significantly differentially expressed genes (DEGs) in <i>PagAS1a</i>-OE plants. GO analysis revealed that genes associated with photosynthesis, lignin biosynthetic, and cellulose biosynthetic pathways were significantly enriched in up-regulated DEGs in <i>PagAS1a</i>-OE, while genes associated with lignin catabolic, and phenylpropanoid catabolic pathways were significantly enriched in down-regulated DEGs. Together, our results suggest that the <i>AS1</i> ortholog <i>PagAS1a</i> is an important regulator of secondary xylem development and plant growth in <i>Populus</i>.</p>","PeriodicalId":520285,"journal":{"name":"Forestry research","volume":"5 ","pages":"e010"},"PeriodicalIF":5.0,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12439027/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145083269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DEFGermplasm: a comprehensive digital platform for forest genomic and phenotype data integration.","authors":"Mingjun Du, Meng Liu, Yuhui Li, Huating Hou, Bingyu Chen, Jiarun Gong, Junhong Zhang, Zhengfu Yang, Zaikang Tong, Xiao Han, Huahong Huang, Erpei Lin, Zhengjia Wang, Kean-Jin Lim","doi":"10.48130/forres-0025-0009","DOIUrl":"10.48130/forres-0025-0009","url":null,"abstract":"<p><p>Forest germplasm resources are indispensable resources for ecosystem stability and economic value. However, they are increasingly threatened by environmental changes and human activities and urgently need advanced management methods. Concurrently, traditional management methods are unable to cope with the increasingly complex data in the era of advanced information technology. Therefore, we developed DEFGermplasm (https://defgermplasm.com), a digital platform utilizing Flask framework, Python, MySQL, NGINX, Gunicorn, HTML5, JavaScript, JBrowse, SequenceServer, Seaborn, and Echarts, taking the germplasm resources of pecan, hickory, Chinese fir, and phoebe. The platform integrates genomic, transcriptomic, phenotypic, and physiological data, utilizing user-friendly visualization tools to achieve intuitive data presentation. Gene expression heat maps reveal tissue-specific patterns, interactive phenotypic trait visualizations supporting breeding and trait selection, and cross-species analyses uncovering gene conservation and functional adaptation. For example, the WRINKLED1 transcription factor showed roles across nut-bearing and timber species. Additionally, the platform's sequence alignment and homology search tool facilitate comprehensive exploration of gene families, while genome visualization tools provide detailed insights into genomic structures and regulatory elements. By integrating diverse datasets with intuitive visualization tools, DEFGermplasm enhances forest germplasm research, supporting breeding and conservation initiatives. This study underscores the transformative potential of digital platforms in forest genetics and sustainable resource management.</p>","PeriodicalId":520285,"journal":{"name":"Forestry research","volume":"5 ","pages":"e009"},"PeriodicalIF":5.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12434696/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145077177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Qu-1: a transformation-and regeneration-amenable doubled haploid cell line with a reference genome sequence for genetic and functional studies in <i>Populus</i>.","authors":"Caixia Liu, Meng Wang, Erqin Fan, Sui Wang, Shuang Li, Pengyue Fu, Yi Liu, Yuhang Liu, Junhui Wang, Heike W Sederoff, Xiangling You, Chuanping Yang, Ronald R Sederoff, Su Chen, Guanzheng Qu","doi":"10.48130/forres-0025-0008","DOIUrl":"10.48130/forres-0025-0008","url":null,"abstract":"<p><p>Plant suspension homogeneous cells are invaluable materials for investigating molecular mechanisms underlying various biological processes. In this study, we established and characterized a doubled haploid cell line from <i>Populus</i> <i>simonii</i> × <i>P.</i> <i>nigra</i>, designated as Qu-1. This cell line exhibited high viability and dispersibility under suspension culture conditions and retained the ability to regenerate into whole plants. <i>K</i>-mer analysis confirmed the homozygous genome of Qu-1, and a chromosome-level genome assembly was subsequently achieved by using PacBio sequencing. Additionally, we established an efficient transient transformation protocol using PEG-mediated protoplasts and a stable <i>Agrobacterium</i>-mediated transformation system for Qu-1. To explore the mutagenesis potential of this cell line, we treated the cell line with ethyl methanesulfonate (EMS) and performed genome resequencing to identify mutation sites. Overall, Qu-1 represents the first poplar cell line with a homozygous genome and is as a powerful tool for molecular biology research in woody plants.</p>","PeriodicalId":520285,"journal":{"name":"Forestry research","volume":"5 ","pages":"e008"},"PeriodicalIF":0.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12141832/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144251841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}