{"title":"Haplotype-resolved chromosomal-level genome assembly of Mastigias papua.","authors":"Bingbing Li, Xiuxiu Wang, Shirong Lv, Xuelu Yu, Wenqi Zhu, Xue Wang, Yingying Feng, Nanmei Liu, Ying He, Jishun Yang","doi":"10.1038/s41597-026-07804-0","DOIUrl":"10.1038/s41597-026-07804-0","url":null,"abstract":"<p><p>Mastigias papua is a representative species of the Scyphozoa class. Its outer umbrella surface is covered with white spots and it is mainly distributed in the Pacific and Indian Ocean. In this study, we generated a haplotype-resolved, chromosome-scale genome assembly for M. papua using PacBio HiFi long reads and Hi-C technology. The resulting assembly contains two haplotypes (Hap A and Hap B) with sizes of 379.81 MB (contig N50 = 13.03 Mb) and 344.57 MB (contig N50 = 14.24 Mb), and both anchored to 21 chromosomes with anchor ratio of 94.35% and 97.59%, respectively. The sequencing depth, mapping coverage, contig continuity, and BUSCO assessment collectively indicate a high-quality haplotype-resolved genome assembly. This high-quality genome assembly provides a valuable resource for further genetic studies and genetic improvement of the group of M. papua. BUSCO assessment indicated that the completeness of the two haploid genomes was 93.3% (HapA) and 92.2% (HapB), respectively, demonstrating excellent assembly quality. Annotation results identified 27,401 protein-coding genes and 182.83 Mb of repetitive sequences (accounting for 48.14% of the genome) in HapA, while HapB contained 23,905 protein-coding genes and 158.00 Mb of repetitive sequences (representing 45.85% of the genome). Functional annotation revealed that over 88% of the genes could be matched to public databases such as NR, KEGG, and GO. These phased genome assemblies and gene annotations provide a quality-controlled genomic resource for Mastigias papua.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"13 1","pages":""},"PeriodicalIF":7.2,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13518791/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148832134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scientific DataPub Date : 2026-08-25DOI: 10.1038/s41597-026-08154-7
Yinzheng Zhao, Junjie Yang, Zhaosheng Li, Mathias Maier, Daniel Zapp, Peter Charbel Issa, Zhihao Zhao, Mohammad Ali Nasseri
{"title":"Pixel-Level Segmented Longitudinal Optical Coherence Tomography Data of Macular Hole Surgery Outcomes.","authors":"Yinzheng Zhao, Junjie Yang, Zhaosheng Li, Mathias Maier, Daniel Zapp, Peter Charbel Issa, Zhihao Zhao, Mohammad Ali Nasseri","doi":"10.1038/s41597-026-08154-7","DOIUrl":"10.1038/s41597-026-08154-7","url":null,"abstract":"<p><p>Research involving idiopathic full-thickness macular hole (iFTMH) has been limited by a shortage of longitudinal, annotated public datasets. In this article, we introduce a longitudinal annotated dataset containing OCT scans from patients who previously had iFTMH surgery with multiple time points. The OCT dataset based on the publicly accessible cohort contains a total of 2,591 fovea-centered horizontal and vertical B-scans that were collected at one preoperative and six postoperative time points (from 2 weeks to 48 months) that allow researchers to examine retinal recovery. We provide high-quality, expert-validated, pixel-level segmentation masks for 12 retinal features, representing both pathological (e.g., macular hole, cysts, epiretinal membrane) and anatomical (e.g., external limiting membrane, ellipsoid zone, retinal pigment epithelium) structures. Technical validation revealed high inter- and intra-rater reliability for each annotation (e.g., >0.80 average Dice coefficient for selected features). We also provide a reference nnUNet baseline to facilitate future benchmarking and method comparison. Overall, this resource is intended to facilitate AI modeling, support quantitative studies of retinal healing, and verify new ophthalmic image analysis methods.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"13 1","pages":""},"PeriodicalIF":7.2,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13507111/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148819497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scientific DataPub Date : 2026-08-25DOI: 10.1038/s41597-026-07906-9
Katharina Waha, Sophie Rötzer, Koen De Vos, Uwe Grewer, Andrew Tomes, Altaaf Mechiche-Alami
{"title":"African Crop Calendar: A geo-referenced dataset of crop growing seasons across diverse agro-ecological regions.","authors":"Katharina Waha, Sophie Rötzer, Koen De Vos, Uwe Grewer, Andrew Tomes, Altaaf Mechiche-Alami","doi":"10.1038/s41597-026-07906-9","DOIUrl":"10.1038/s41597-026-07906-9","url":null,"abstract":"<p><p>Large-scale agricultural household surveys provide essential data on farming households' socioeconomics, land management, and agricultural indicators, and allow detailed micro-scale comparisons while ensuring national representativeness. This study introduces cleaned, harmonised, and validated survey data describing the growing season of several hundred crops from six African countries between 2009-2019. It complements existing datasets by including geographical identifiers, facilitating the linkage with climate, soil, or Earth observation data. Collected through the LSMS-ISA program, the surveys cover crop planting and harvesting dates, anonymized field locations, and crop species grown. The data were harmonised by assigning consistent variable names, correcting inconsistencies, standardising crop names, and creating unique plot identifiers. This comprehensive dataset offers novel insights into African cropping systems and growing seasons and provides a basis for assessing drivers of shifts in growing seasons.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"13 1","pages":""},"PeriodicalIF":7.2,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13503825/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A longitudinal plasma metabolomics dataset of sepsis-associated liver injury across multiple clinical time points.","authors":"Huan Liu, Jing Yang, Dong Leng, Yihui Wang, Enqiang Mao, Erzhen Chen, Ying Chen, Zhitao Yang","doi":"10.1038/s41597-026-08148-5","DOIUrl":"10.1038/s41597-026-08148-5","url":null,"abstract":"<p><p>Sepsis-associated liver injury is a severe complication of sepsis characterized by substantial metabolic alterations, yet longitudinal metabolomics resources for this condition remain limited. Here, we present an LC-MS-based longitudinal metabolomics dataset comprising 88 blood samples collected from healthy controls and sepsis patients with or without liver injury across multiple ICU-associated clinical time points. Comprehensive metabolomic profiling generated 18,247 high-quality metabolic features and 2,894 annotated metabolites, providing a resource for investigating temporal metabolite patterns with annotations related to nucleotide, lipid, and bile acid metabolism across clinical groups and sampling time points. Exploratory analytical approaches, including temporal clustering, weighted correlation network analysis, and regularized regression-based feature selection, were applied to facilitate characterization of longitudinal metabolic patterns within the dataset. This dataset provides a reusable resource for future studies on longitudinal metabolic dynamics, biomarker validation, integrative multi-omics analyses, and methodological development in sepsis and critical care research.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"13 1","pages":""},"PeriodicalIF":7.2,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13694270/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149246413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scientific DataPub Date : 2026-08-24DOI: 10.1038/s41597-026-07782-3
Mudagandur S Shekhar, Vinaya Kumar Katneni, Sudheesh K Prabhudas, Ashok Kumar Jangam, Ashok Selvaraj, Irine Maria Jose, Karthic Krishnan, Raymond Jesudhas Angel Jani
{"title":"Chromosome level genome assembly and full-length transcriptome of blacktip trevally (Caranx heberi).","authors":"Mudagandur S Shekhar, Vinaya Kumar Katneni, Sudheesh K Prabhudas, Ashok Kumar Jangam, Ashok Selvaraj, Irine Maria Jose, Karthic Krishnan, Raymond Jesudhas Angel Jani","doi":"10.1038/s41597-026-07782-3","DOIUrl":"10.1038/s41597-026-07782-3","url":null,"abstract":"<p><p>Caranx heberi (Bennett, 1830) commonly known as the blacktip trevally belongs to the family Carangidae and is a potential brackishwater aquaculture species. However, the limited genomic resources are hindering the efforts to study its genetic traits and their molecular basis. To bridge this gap, we generated a high-quality reference genome employing multiple sequencing strategies including PacBio Hifi reads (135x), Illumina short reads (150x), and Hi-C chromosome conformation capturing (180x). The high-quality genome assembly consisted of 159 scaffolds summing to 618.71 Mb and an N50 value of 26.72 Mb. Among these, 24 chromosome level scaffolds covered 97.5% of the total assembly. The genome contained 20.94% of repeat elements and 30,354 protein encoding genes. In addition, full-length transcriptomes were generated using the PacBio IsoSeq approach from seven tissues (gill, kidney, liver, muscle, heart, spleen, and intestine). The comprehensive genomic and transcriptomic resources developed in this study will facilitate the domestication and aquaculture development of C. heberi, as well as support research on its nutritional potential, ecological adaptations, and evolutionary biology.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"13 1","pages":""},"PeriodicalIF":7.2,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13503720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scientific DataPub Date : 2026-08-24DOI: 10.1038/s41597-026-07749-4
Qi Shuai, Donghui Jin, Dominique Arrouays, Zhongxing Chen, Lingju Dai, Yuanyuan Du, Yongsheng Hong, Bifeng Hu, Yuyang Huang, Wenjun Ji, Shuo Li, Zongzheng Liang, Yuxin Ma, Anne C Richer-de-Forges, Calogero Schillaci, Zhou Shi, Yang Su, Hongfen Teng, Nan Wang, Xi Wang, Yanyu Wang, Zheng Wang, Zhige Wang, Dongyun Xu, Jie Xue, Su Ye, Xianglin Zhang, Yin Zhou, Peng Zhu, Songchao Chen
{"title":"GSOCS-LULCC: A Global dataset of Soil Organic Carbon Stock dynamics following Land Use and Land Cover Change.","authors":"Qi Shuai, Donghui Jin, Dominique Arrouays, Zhongxing Chen, Lingju Dai, Yuanyuan Du, Yongsheng Hong, Bifeng Hu, Yuyang Huang, Wenjun Ji, Shuo Li, Zongzheng Liang, Yuxin Ma, Anne C Richer-de-Forges, Calogero Schillaci, Zhou Shi, Yang Su, Hongfen Teng, Nan Wang, Xi Wang, Yanyu Wang, Zheng Wang, Zhige Wang, Dongyun Xu, Jie Xue, Su Ye, Xianglin Zhang, Yin Zhou, Peng Zhu, Songchao Chen","doi":"10.1038/s41597-026-07749-4","DOIUrl":"10.1038/s41597-026-07749-4","url":null,"abstract":"<p><p>The direction and magnitude of soil organic carbon stock (SOCS) changes following land use and land cover change (LULCC) remain highly uncertain, primarily due to a lack of relevant, comprehensive global soil data. Although substantial efforts have established SOCS databases at regional, national, and sub-continental scales, an open-access global database incorporating explicit environmental drivers is urgently needed to better understand the impacts of LULCC on SOCS dynamics. Here, we present the Global Soil Organic Carbon Stock dataset after Land Use and Land Cover Change (GSOCS-LULCC). Compiled from 912 peer-reviewed articles up to December 2025, this dataset spans five major land uses (cropland, grassland, forest, plantation and savanna) yielding 8,748 harmonized records from 1,967 sites across various sampling depths. GSOCS-LULCC serves as a vital resource for evaluating the global effects of LULCC on SOCS and identifying the primary environmental factors driving carbon stock variations across different ecosystem transitions.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"13 1","pages":""},"PeriodicalIF":7.2,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13503692/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scientific DataPub Date : 2026-08-24DOI: 10.1038/s41597-026-07770-7
Mireia Segado-Centellas, Albert Masip-Sánchez, Carles Bo
{"title":"POMsDB: a QM derived molecular properties and parameters database for Polyoxometalates.","authors":"Mireia Segado-Centellas, Albert Masip-Sánchez, Carles Bo","doi":"10.1038/s41597-026-07770-7","DOIUrl":"10.1038/s41597-026-07770-7","url":null,"abstract":"<p><p>Polyoxometalates (POMs) are an important class of anionic inorganic compounds because of their rich structural chemistry and properties. POMsDB is a freely accessible database for POMs that collects molecular properties (optimized atomic coordinates, energies, IR spectrum, atomic charges) and force-field (FF) parameters to run molecular dynamic (MD) simulations in common MD programs. FF parameters in this database consist of nonbonded (atomic point charges, Lennard-Jones (LJ)) and bonded parameters. Three distinct types of DFT derived atomic charges and two sets of LJ parameters could be selected. In addition, two definitions of bonding intramolecular parameters are available: one where the POM behaves as a rigid object, and the other where bonds are flexible. By providing open access to the database via ioChem-BD, we seek to accelerate progress in this field enabling systematic molecular dynamics studies for a broad range of POMs in solution accelerating the understanding of assembly, crystal growth, nanomaterials formation of metal-oxo clusters.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"13 1","pages":""},"PeriodicalIF":7.2,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13503728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scientific DataPub Date : 2026-08-24DOI: 10.1038/s41597-026-07792-1
Wenbin Guo, Linda Milne, Sara Lopez-Gomollon, Amanpreet Kaur, Ingo Hein, David Baulcombe, Runxuan Zhang
{"title":"PotatoRTD and TomatoRTD: Comprehensive Reference Transcript Datasets for Accurate Transcriptome Analysis and Isoform Discovery.","authors":"Wenbin Guo, Linda Milne, Sara Lopez-Gomollon, Amanpreet Kaur, Ingo Hein, David Baulcombe, Runxuan Zhang","doi":"10.1038/s41597-026-07792-1","DOIUrl":"10.1038/s41597-026-07792-1","url":null,"abstract":"<p><p>Transcriptome annotations provide essential information on transcript locations, sequences and structures, including transcription start, end sites and splice junctions. They underpin key biological analyses such as gene and transcript quantification, and the study of transcriptional and post-transcriptional regulation, including alternative transcription initiation, polyadenylation and splicing. Accurate characterisation of transcript isoforms is critical for understanding how gene expression relates to functional protein products. However, for many species-including Solanaceae crops such as potato and tomato-current annotations suffer from limited isoform coverage, with tens or hundreds of thousands of splice junctions and transcript isoforms missing. This undermines the completeness and accuracy of transcript-level analyses. Here, by generating Iso-seq and RNA-seq on a range of tissues and samples, we have produced transcriptome annotations for both potato and tomato with improved coverage, diversity, accurate splice junctions, and transcript start and end sites. We have also made these high-quality resources accessible through genome browsers. These enhanced annotations will enable more accurate transcriptome analyses, supporting higher-resolution and novel biological discoveries.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"13 1","pages":""},"PeriodicalIF":7.2,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13503749/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scientific DataPub Date : 2026-08-24DOI: 10.1038/s41597-026-07785-0
Jakub Cervenka, Rita Sucha, Jirina Tyleckova, Ievgeniia Poliakh, Jaromir Novak, Eva Kotrcova, Karel Harant, Pavel Rehulka, Petr Vodicka
{"title":"A porcine spectral assay library to quantify brain proteome by DIA-MS.","authors":"Jakub Cervenka, Rita Sucha, Jirina Tyleckova, Ievgeniia Poliakh, Jaromir Novak, Eva Kotrcova, Karel Harant, Pavel Rehulka, Petr Vodicka","doi":"10.1038/s41597-026-07785-0","DOIUrl":"10.1038/s41597-026-07785-0","url":null,"abstract":"<p><p>Neurological disorders are the leading cause of health loss worldwide. The growing number of patients suffering from such conditions calls for improved strategies for their prevention, diagnosis, and therapy. To better understand human pathologies, relevant models and methodologies must be made available. In this study, we focused on a biomedical model capable of recapitulating the complexity of human pathology, the pig (Sus scrofa). Brain tissue and cerebrospinal fluid samples from a transgenic minipig model of Huntington's disease were subjected to multiple extraction and fractionation steps. A proteomic mass spectrometry (MS) methodology then allowed the generation of a porcine spectral library for 8,321 proteins. Using data-independent acquisition (DIA), we demonstrated that our porcine spectral library substantially enhanced the quantitative potential of this untargeted MS approach, generating reproducible proteome-wide data. The porcine library also provides a comprehensive resource for the development of targeted MS assays, enabling the quantification of selected proteins with a key role not only in neuroscience.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"13 1","pages":""},"PeriodicalIF":7.2,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13503712/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scientific DataPub Date : 2026-08-24DOI: 10.1038/s41597-026-07815-x
Matheus Scaketti, Caroline Bertocco Garcia, João Victor da Silva Rabelo-Araujo, Igor Araujo Santos de Carvalho, Thiago Deomar Ludwig, Kauanne Karolline Moreno Martins, Diego Mauricio Riaño-Pachón, Durval Dourado Neto, Carlos Alberto Labate, Renato Vicentini, José Baldin Pinheiro, Suelen Alves Vianna, Carlos Augusto Colombo, Brenda Gabriela Díaz-Hernández, Jonathan Morales-Marroquín, Maria Imaculada Zucchi
{"title":"First chromosome scale genome of Acrocomia aculeata.","authors":"Matheus Scaketti, Caroline Bertocco Garcia, João Victor da Silva Rabelo-Araujo, Igor Araujo Santos de Carvalho, Thiago Deomar Ludwig, Kauanne Karolline Moreno Martins, Diego Mauricio Riaño-Pachón, Durval Dourado Neto, Carlos Alberto Labate, Renato Vicentini, José Baldin Pinheiro, Suelen Alves Vianna, Carlos Augusto Colombo, Brenda Gabriela Díaz-Hernández, Jonathan Morales-Marroquín, Maria Imaculada Zucchi","doi":"10.1038/s41597-026-07815-x","DOIUrl":"10.1038/s41597-026-07815-x","url":null,"abstract":"<p><p>Acrocomia aculeata (macaúba) is an oil-producing palm with high potential for sustainable bioenergy in tropical regions. We present the first chromosome-scale, haplotype-resolved genome assembly for the species and the genus, generated with Oxford Nanopore, PacBio HiFi, and Hi-C sequencing. The assembly spans 1.94 Gbp organized into 15 pseudochromosomes (N50 = 143.43 Mbp; QV = 76.4), with two fully phased haplotypes (Hap1: 1.93 Gbp; Hap2: 1.92 Gbp) resolved at chromosome scale. Genome completeness reached 98.9% complete BUSCOs for predicted proteins and > 90% k-mer completeness. Repetitive elements comprise 73-77% of the genome, with LTR retrotransposons accounting for ~55%. The LTR Assembly Index (LAI = 25.11) confirms gold-standard quality, sustained across both haplotypes. Annotation predicted 28,367 protein-coding genes with structural consistency across haplotypes and similarity to other palm genomes. Comparative analyses revealed strong chromosomal collinearity with closely related species. This reference genome supports evolutionary genomics, conservation, and molecular breeding of macaúba.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"13 1","pages":""},"PeriodicalIF":7.2,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13503934/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}