Chromosome-scale genome assembly of the mangrove climber species Dalbergia candenatensis.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
31 Oct 2024
31 Oct 2024
Historique:
received:
15
07
2024
accepted:
23
10
2024
medline:
1
11
2024
pubmed:
1
11
2024
entrez:
1
11
2024
Statut:
epublish
Résumé
Consisting of trees, climbers and herbs exclusively in the intertidal environments, mangrove forest is one of the most extreme and vulnerable ecosystems of our planet and has long been of great interest for biologists and ecologists. Here, we first assembled the chromosome-scale genome of a climber mangrove plant, Dalbergia candenatensis. The assembled genome size is approximately 474.55 Mb, with a scaffold N50 of 48.1 Mb, a complete BUSCO score of 98.4%, and a high LTR Assembly Index value of 21. The genome contained 283.46 Mb (59.74%) repetitive sequences, and 29,554 protein-coding genes were predicted, of which 87.54% were functionally annotated in five databases. The high-quality genome assembly and annotation presented herein provide a valuable genomic resource that will expedite genomic and evolutionary studies of mangrove plants and facilitate the elucidation of molecular mechanisms underlying the salt- and water-logging-tolerance of mangrove plants.
Identifiants
pubmed: 39482322
doi: 10.1038/s41597-024-04032-2
pii: 10.1038/s41597-024-04032-2
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1187Subventions
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 32070222
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 32170232
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 32271613
Informations de copyright
© 2024. The Author(s).
Références
Tomlinson, P. B. The botany of mangrove. (Cambridge University Press, 2016).
Lyu, H., He, Z., Wu, C. I. & Shi, S. Convergent adaptive evolution in marginal environments: unloading transposable elements as a common strategy among mangrove genomes. New Phytol. 217, 428–438 (2018).
pubmed: 28960318
doi: 10.1111/nph.14784
Feng, X. et al. Genomic insights into molecular adaptation to intertidal environments in the mangrove Aegiceras corniculatum. New Phytol. 231, 2346–2358 (2021).
pubmed: 34115401
doi: 10.1111/nph.17551
Wang, Y. & Gu, J. Ecological responses, adaptation and mechanisms of mangrove wetland ecosystem to global climate change and anthropogenic activities Int. Biodeterior. Biodegrad. 162, 105248 (2021).
doi: 10.1016/j.ibiod.2021.105248
FAO. The world’s mangroves 2000–2020. (2023).
Duke, N. C. et al. A world without mangroves. Science 317, 41–42 (2007).
pubmed: 17615322
doi: 10.1126/science.317.5834.41b
Ma, D. et al. Chromosome-level assembly of the mangrove plant Aegiceras corniculatum genome generated through Illumina, PacBio and Hi-C sequencing technologies. Mol. Ecol. Resour. 21, 1593–1607 (2021).
pubmed: 33550674
doi: 10.1111/1755-0998.13347
Klitgård, B. B. & Lavin, M. in Legumes of the world (eds Lewis, G., Schrire, B., Mackinder, B. & Lock, M.) 307-335 (Royal Botanical Garden, Kew, 2005).
Li, S. Dalbergia in Asia. (Science Press, 2017).
Qin, M. et al. Comparative analysis of complete plastid genome reveals powerful barcode regions for identifying wood of Dalbergia odorifera and D. tonkinensis (Leguminosae). J. Syst. Evol. 60, 73–84 (2022).
doi: 10.1111/jse.12598
Lavin, M. et al. The Dalbergioid legumes (Fabaceae): delimitation of a pantropical monophyletic clade. Am. J. Bot. 88, 503–533 (2001).
pubmed: 11250829
doi: 10.2307/2657116
Yang, J. et al. Chromosome-scale genomes of five Hongmu species in Leguminosae. Sci. Data 10, 710 (2023).
pubmed: 37848504
pmcid: 10582184
doi: 10.1038/s41597-023-02593-2
Sprent, J. I. Legume nodulation: a global perspective. (Wiley-Blackwell, 2009).
Huang, H. Genomic insights into adaptation to mangrove habitat in Dalbergia candenatensis Master thesis, University of Chinese Academy of Sciences, (2023).
Hunga, T. H. et al. Range-wide differential adaptation and genomic offset in critically endangered Asian rosewoods. Proc. Natl. Acad. Sci. USA 120, e2301603120 (2023).
doi: 10.1073/pnas.2301603120
Hong, Z. et al. The chromosome-level draft genome of Dalbergia odorifera. GigaScience 9, giaa084 (2020).
pubmed: 32808664
pmcid: 7433187
doi: 10.1093/gigascience/giaa084
Sahu, S. K. et al. Chromosome-scale genome of Indian rosewood (Dalbergia sissoo). Front Plant Sci. 14, 1218515 (2023).
pubmed: 37662156
pmcid: 10470032
doi: 10.3389/fpls.2023.1218515
Anisuzzman, M., Hasan, M. M., Acharzo, A. K., Das, A. K. & Rahman, S. In vivo and in vitro evaluation of pharmacological potentials of secondary bioactive metabolites of Dalbergia candenatensis leaves. Evid. Based Complementary Altern. Med. 2017, 5034827 (2017).
doi: 10.1155/2017/5034827
Hamburger, M. O., Cordell, G. A., Tantivatana, P. & Ruangrungsi, N. Traditional medicinal plants of Thailand, VIII. Isoflavonoids of Dalbergia candenatensis. J. Nat. Prod. 50, 696–699 (1987).
pubmed: 3430167
doi: 10.1021/np50052a020
Cheenpracha, S., Karalai, C., Ponglimanont, C. & Kanjana-Opas, A. Candenatenins A-F, phenolic compounds from the heartwood of Dalbergia candenatensis. J. Nat. Prod. 72, 1395–1398 (2009).
pubmed: 19653666
doi: 10.1021/np900077h
Sahu, S. K., Thangaraj, M. & Kathiresan, K. DNA extraction protocol for plants with high levels of secondary metabolites and polysaccharides without using liquid nitrogen and phenol. ISRN Mol. Biol. 2012, 205049 (2012).
pubmed: 27335662
doi: 10.5402/2012/205049
Chen, S. Ultrafast one-pass FASTQ data preprocessing, quality control, and deduplication using fastp. Imeta 2, e107 (2023).
pubmed: 38868435
doi: 10.1002/imt2.107
Marçais, G. & Kingsford, C. A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics 27, 764–770 (2011).
pubmed: 21217122
pmcid: 3051319
doi: 10.1093/bioinformatics/btr011
Vurture, G. W. et al. GenomeScope: fast reference-free genome profiling from short reads. Bioinformatics 33, 2202–2204 (2017).
pubmed: 28369201
doi: 10.1093/bioinformatics/btx153
Cheng, H., Concepcion, G. T., Feng, X., Zhang, H. & Li, H. Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm. Nat. Methods 18, 170–175 (2021).
pubmed: 33526886
doi: 10.1038/s41592-020-01056-5
Goto, S., Tsuda, Y., Koike, Y., Chunlan, L. & Ide, Y. Effects of landscape and demographic history on genetic variation in Picea glehnii at the regional scale. Ecol. Res. 24, 1267–1277 (2009).
doi: 10.1007/s11284-009-0611-8
Tarasov, A., Vilella, A. J., Cuppen, E., Nijman, I. J. & Prins, P. Sambamba: fast processing of NGS alignment formats. Bioinformatics 31, 2032–2034 (2015).
pubmed: 25697820
doi: 10.1093/bioinformatics/btv098
Walker, B. J. et al. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS One 9, e112963 (2014).
pubmed: 25409509
doi: 10.1371/journal.pone.0112963
Zhang, X., Zhang, S., Zhao, Q., Ming, R. & Tang, H. Assembly of allele-aware, chromosomal-scale autopolyploid genomes based on Hi-C data. Nat. Plants 5, 833–845 (2019).
pubmed: 31383970
doi: 10.1038/s41477-019-0487-8
Durand, N. C. et al. Juicer provides a one-click system for analyzing loop-resolution Hi-C experiments. Cell Syst. 3, 95–98 (2016).
pubmed: 27467249
doi: 10.1016/j.cels.2016.07.002
Flynn, J. M. et al. RepeatModeler2 for automated genomic discovery of transposable element families. Proc. Natl. Acad. Sci. USA 117, 9451–9457 (2020).
pubmed: 32300014
doi: 10.1073/pnas.1921046117
Bao, W., Kojima, K. K. & Kohany, O. Repbase Update, a database of repetitive elements in eukaryotic genomes. Mob. DNA 6, 11 (2015).
pubmed: 26045719
doi: 10.1186/s13100-015-0041-9
Storer, J., Hubley, R., Rosen, J., Wheeler, T. J. & Smit, A. F. The Dfam community resource of transposable element families, sequence models, and genome annotations. Mob. DNA 12, 2 (2021).
pubmed: 33436076
doi: 10.1186/s13100-020-00230-y
Tarailo-Graovac, M. & Chen, N. Using RepeatMasker to identify repetitive elements in genomic sequences. Curr. Protoc. Bioinformatics Chapter 4, 4.10.11–14.10.14 (2009).
Yan, H., Bombarely, A. & Li, S. DeepTE: a computational method for de novo classification of transposons with convolutional neural network. Bioinformatics 36, 4269–4275 (2020).
pubmed: 32415954
doi: 10.1093/bioinformatics/btaa519
Stanke, M., Schöffmann, O., Morgenstern, B. & Waack, S. Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources. BMC Bioinform. 7, 62 (2006).
doi: 10.1186/1471-2105-7-62
Guigó, R., Knudsen, S., Drake, N. & Smith, T. Prediction of gene structure. J. Mol. Biol. 226, 141–157 (1992).
pubmed: 1619647
doi: 10.1016/0022-2836(92)90130-C
Korf, I. Gene finding in novel genomes. BMC Bioinform. 5, 59 (2004).
doi: 10.1186/1471-2105-5-59
Majoros, W. H., Pertea, M. & Salzberg, S. L. TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders. Bioinformatics 20, 2878–2879 (2004).
pubmed: 15145805
doi: 10.1093/bioinformatics/bth315
Lomsadze, A., Ter-Hovhannisyan, V., Chernoff, Y. O. & Borodovsky, M. Gene identification in novel eukaryotic genomes by self-training algorithm. Nucleic Acids Res. 33, 6494–6506 (2005).
pubmed: 16314312
doi: 10.1093/nar/gki937
Keilwagen, J., Hartung, F., Paulini, M., Twardziok, S. O. & Grau, J. Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi. BMC Bioinform. 19, 189 (2018).
doi: 10.1186/s12859-018-2203-5
The Arabidopsis Genome Initiative. Analysis of the genome sequence of the fowering plant Arabidopsis thaliana. Nature 408, 796–815 (2000).
doi: 10.1038/35048692
Goff, S. A. et al. A draft sequence of the rice genome (Oryza sativa L. ssp. japonica). Science 296, 92–100 (2002).
Grabherr, M. G. et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat. Biotechnol. 29, 644–652 (2011).
pubmed: 21572440
doi: 10.1038/nbt.1883
Haas, B. J. et al. Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies. Nucleic Acids Res. 31, 5654–5666 (2003).
pubmed: 14500829
doi: 10.1093/nar/gkg770
Haas, B. J. et al. Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments. Genome Biol. 9, R7 (2008).
pubmed: 18190707
doi: 10.1186/gb-2008-9-1-r7
Huerta-Cepas, J. et al. eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses. Nucleic Acids Res 47, D309–d314 (2019).
doi: 10.1093/nar/gky1085
pubmed: 30418610
Ashburner, M. et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 25, 25–29 (2000).
pubmed: 10802651
pmcid: 3037419
doi: 10.1038/75556
Kanehisa, M., Goto, S., Sato, Y., Furumichi, M. & Tanabe, M. KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res. 40, D109–d114 (2012).
pubmed: 22080510
doi: 10.1093/nar/gkr988
Coudert, E. et al. Annotation of biologically relevant ligands in UniProtKB using ChEBI. Bioinformatics 39, btac793 (2023).
pubmed: 36484697
doi: 10.1093/bioinformatics/btac793
Buchfink, B., Xie, C. & Huson, D. H. Fast and sensitive protein alignment using DIAMOND. Nat. Methods 12, 59–60 (2015).
pubmed: 25402007
doi: 10.1038/nmeth.3176
Tang, H. et al. Synteny and collinearity in plant genomes. Science 320, 486–488 (2008).
pubmed: 18436778
doi: 10.1126/science.1153917
Chen, C. et al. TBtools: an integrative toolkit developed for interactive analyses of big biological data. Mol. Plant 13, 1194–1202 (2020).
pubmed: 32585190
doi: 10.1016/j.molp.2020.06.009
NCBI Sequence Read Archive https://identifiers.org/ncbi/insdc.sra:SRP513077 (2024).
Shi, M., Zhang, Y., Huang, H. & Tu, T. Dalbergia candenatensis isolate MS-2024a, whole genome shotgun sequencing project. GenBank https://identifiers.org/ncbi/insdc:JBHFQC000000000 (2024).
Shi, M. et al. Chromosome-scale genome assembly of the mangrove climber species Dalbergia candenatensis. Figshare https://doi.org/10.6084/m9.figshare.26170126 (2024).
Manni, M., Berkeley, M. R., Seppey, M., Simão, F. A. & Zdobnov, E. M. BUSCO Update: Novel and streamlined workflows along with broader and deeper phylogenetic coverage for scoring of eukaryotic, prokaryotic, and viral genomes. Mol. Biol. Evol. 38, 4647–4654 (2021).
pubmed: 34320186
doi: 10.1093/molbev/msab199
Ou, S. & Jiang, N. LTR_retriever: A highly accurate and sensitive program for identification of long terminal repeat retrotransposons. Plant Physiol. 176, 1410–1422 (2017).
pubmed: 29233850
pmcid: 5813529
doi: 10.1104/pp.17.01310
Li, H. Minimap2: Pairwise alignment for nucleotide sequences. Bioinformatics 34, 3094–3100 (2018).
pubmed: 29750242
pmcid: 6137996
doi: 10.1093/bioinformatics/bty191
Kim, D., Langmead, B. & Salzberg, S. L. HISAT: A fast spliced aligner with low memory requirements. Nat. Methods 12, 357–360 (2015).
pubmed: 25751142
pmcid: 4655817
doi: 10.1038/nmeth.3317