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. 2024 Jul 2;11:719. doi: 10.1038/s41597-024-03568-7

Chromosome-level genome assembly of Helwingia omeiensis: the first genome in the family Helwingiaceae

Yanyu Chen 1, Landi Feng 1, Hao Lin 1, Jianquan Liu 1, Quanjun Hu 1,
PMCID: PMC11220072  PMID: 38956089

Abstract

Helwingia, a shrub of the monotypic cosmopolitan family Helwingiaceae, is distinguished by its inflorescence, in which flowers are borne on the midrib of the leaf—a trait not commonly observed in related plant families. Previous studies have investigated the development of this unusual structure using comparative anatomical methods. However, the scarcity of genomic data has hindered our understanding of the origins and evolutionary history of this uncommon trait at the molecular level. Here, we report the first high-quality genome of the family Helwingiaceae. Assembled using HiFi sequencing and Hi-C technologies, the genome of H. omeiensis is anchored to 19 chromosomes, with a total length of 2.75 Gb and a contig N50 length of 6.78 Mb. The BUSCO completeness score of the assembled genome was 98.2%. 53,951 genes were identified, of which 99.7% were annotated in at least one protein database. The high-quality reference genome of H. omeiensis provides an essential genetic resource and sheds light on the phylogeny and evolution of specific traits in the family Helwingiaceae.

Subject terms: Evolution, Plant sciences, Genome

Background & Summary

Helwingiaceae is a monotypic family in the order Aquifoliales, comprising a single genus Helwingia. The innovative structure of this genus is that the flowers are borne on the midrib of the leaf, which is known as an “epiphyllous inflorescence”, setting them apart from other plants. In addition, the pith, leaves, and fruits of plants in this genus are traditionally used in herbal medicine to treat dysentery and as diuretic and anti-inflammatory remedies1. The genus includes four species, H. chinensis, H. himalaica, H. japonica, and H. omeiensis, which are all dioecious shrubs mainly found in eastern Asia2,3. Specifically, H. omeiensis is indigenous to Southwest China, and thrives in moist woodlands and on mountain slopes2.

Previous comparative anatomical studies suggested that changes in the position of flower primordium initiation and intercalary growth may contribute to the formation of this distinct structure46. With the development of high-throughput sequencing technologies, the genomes of three closely related species in the genus Ilex of the family Aquifoliaceae have been published7,8. However, despite the fact that RNA-seq data and the complete chloroplast genomes of three Helwingia species have been released4,9,10, a lack of genomic data remains a barrier to studying the evolutionary origin of the family.

In this study, we leveraged a combination of short reads, high-fidelity (HiFi) reads, and chromosome conformation capture (Hi-C) sequencing data to construct a chromosome-level genome assembly for H. omeiensis, providing the first genome resource for the family Helwingiaceae. The length of the genome assembly was 2.75 Gb, with a scaffold N50 of 127.8 Mb and a contig N50 of 6.78 Mb. We identified 1.98 Gb of repetitive elements, accounting for 72.21% of the assembled genome, as well as 53,951 protein-coding genes. The genome assembly and annotation of H. omeiensis will provide a critical foundation for exploring the genetic basis underpinning of this unique inflorescence structure and the phylogenetic relationships within the family Helwingiaceae.

Methods

Plant materials

All of the fresh materials were collected from a female adult plant of Helwingia omeiensis cultivated in Mount Emei Botanical Garden, Sichuan Province, China (N29°35′40, E103°22′40), and the specimens were kept at the Museum of Sichuan University. The genomic DNA was extracted from young leaves, whereas RNA was extracted from mature leaves and terminal buds.

Library construction and sequencing

For short-read sequencing, the sample was randomly fragmented by an ultrasonic processor (Covaris S220; Woburn, MA, USA) to generate DNA fragments approximately 350 bp in length. The DNA fragments were subsequently constructed through end repair, the addition of a 3′ A tail and the ligation of adapters. Next, the library was sequenced with a DNBSEQ-G400 (BGI, Wuhan, China). The raw short reads were filtered by SOAPnuke v1.5.610 to remove adapters and low-quality reads. A total of 87.36 Gb of clean data were obtained for H. omeiensis (Table 1).

Table 1.

Statistics of the sequencing data of the H.omeiensis genome.

Library types Molecule Platform Insert size Data size (Gb)
Short-read DNA DNBseq 300–400 bp 87.36
HiFi DNA PacBio Sequel II 20 Kb 50.32
Hi-C DNA Illumina HiSeq X Ten 221.52
RNA-Seq RNA Illumina HiSeq X Ten 10.46

For HiFi (high-fidelity) sequencing, high-quality genomic DNA was sheared using Megaruptor® 3 (Diagenode), and subreads with a length of 20 kb were further selected using Sage ELF to prepare the PacBio HiFi libraries in CCS mode on the Pacific Biosciences Sequel II System (Supplementary Figure S1). Finally, 50.32 Gb of long clean reads were generated (Table 1), with mean lengths of 13.0 kb and 14.5 kb, respectively.

Hi-C technology captures sequence interactions between all DNA segments within chromosomes to obtain information on interactions between segments of the genome for assisted genome assembly11. Fresh leaves of the same individual were used to construct Hi-C libraries, and the MboI restriction enzyme was used for DNA ligation. After tailing, pulldown, and adapter ligation, the DNA library was sequenced on an Illumina HiSeq X Ten System (BGI, Wuhan, China) with a strategy of 2 × 150 bp. After filtering low-quality reads, 221.52 Gb of clean Hi-C data were obtained (Table 1).

RNA sequencing

Mature leaves and young terminal buds of the same individual were collected for RNA extraction. The RNA-seq library was constructed using the Illumina standard protocol (San Diego, CA, United States) and sequenced on the Illumina HiSeq X Ten platform (BGI, Wuhan, China). The raw data were filtered by Cutadapt v1.1612 to remove adapters and low-quality reads. After quality control by FastQC v0.11.8 (https://github.com/s-andrews/FastQC), 10.46 Gb of paired-end short clean reads were generated from the RNA-seq library (Table 1).

Genome survey and de novo assembly

Jellyfish v2.1.413 was used to quickly count K-mer frequencies ranging from 17 to 31, and then GenomeScope14 predicted genomic features using a K-mer-based statistical approach (Supplementary Table S1). The H. omeiensis genome was estimated to be 2.54 Gb in size, with a heterozygosity rate of 1.19% and repetitive sequences accounting for 54.85% of the total length of the genome (Fig. 1). Using 50.32 Gb of clean HiFi reads with hifiasm v0.19.6-r59515, we generated a genome assembly of 2.92 Gb in size with a contig N50 of 6.21 Mb. Following that, Chromap v0.2.5-r47316 was utilized to align Hi-C clean reads to the contig assembly, and according to the strength of interactions between pairs of reciprocal sequences, YaHS v1.2a.117 was used to anchor contigs onto 1,584 scaffolds. Next, using Juicebox v1.11.0818, we visualized the Hi-C contact maps of the scaffold assembly and made final refinements to the genome assembly. With reference to chromosome counts indexed in the Chromosome Counts Database (CCDB)19 (https://ccdb.tau.ac.il/) and the whole-genome Hi-C interaction heatmap, we identified the 19 longest scaffolds as pseudo-chromosomes (Fig. 2). TGS-GapCloser v1.2.120 filled 75 of the 1,011 gaps in the scaffold assembly based on HiFi reads. The final assembly had a total length of 2.75 Gb, with a contig N50 of 6.78 Mb. The length of 19 pseudochromosomes was 2.38 Gb, with a maximum chromosome length of 153.79 Mb (Table 2). Since there is no reference genome for this species, we numbered the chromosomes in order from largest to smallest (Fig. 3 and Table 3).

Fig. 1.

Fig. 1

Distribution profiles of 27-mer analysis of short reads.

Fig. 2.

Fig. 2

The Hi-C interactive heatmap of 19 pseudo-chromosomes of H. omeiensis.

Table 2.

Statistics of chromoslme-level genome assembly of H. omeiensis.

Features Statistics
Assembly size (bp) 2,748,316,618
Largest sequence length(bp) 153,486,838
Counts of scaffold sequences 1,584
Scaffold N50 (bp) 127,781,096
Counts of scaffold N50 10
Scaffold N90 (bp) 16,574,032
scaffold L90 23
Contig N50 (bp) 6,783,361
Contig L50 119
Contig N90 (bp) 927,000
Counts of contig N90 502
GC content(%) 35.19
N Length 193,200
N content (%) 0.007
BUSCO completeness (%) 98.2

Fig. 3.

Fig. 3

Circos plot of genomic characteristics and annotation of the H. omeiensis genome assembly (1 Mb window size). The data from the outer to the inner circles are as follows: (a) length of 19 pseudochromosomes, (b) GC density, (c) gene density, (d) Gypsy retrotransposon density, (e) Copia retrotransposon density, and (f) DNA transposon density.

Table 3.

Statistics of 19 chromosomes of H. omeiensis genome assembly.

No. Length (bp) Number of gaps GC percentage (%)
chr1 153486838 37 35.66
chr2 149133724 45 34.64
chr3 141481271 21 35.36
chr4 141123649 33 35.04
chr5 140777598 40 35.28
chr6 139309107 48 35.52
chr7 138197217 25 35.42
chr8 131542532 50 35.34
chr9 130545343 39 35.49
chr10 127781096 37 35.20
chr11 126849556 36 35.61
chr12 123901092 28 35.34
chr13 121841527 30 35.29
chr14 120348231 32 34.64
chr15 119169170 26 35.52
chr16 105907320 29 34.74
chr17 102947481 24 35.28
chr18 91427918 18 35.36
chr19 79123487 20 35.16

Gene annotation

To perform a comprehensive prediction of protein-coding genes, the GETA v2.5.6 pipeline (https://github.com/chenlianfu/geta) was used for automatic genome-wide annotation. First, RepeatModeler v2.0.321 and DeepTE22 were used for self-training and to construct a repeat library. On this basis, RepeatMasker v4.1.2-p123 was employed to predict and combine repetitive elements for homology-based methods. The analysis revealed that 72.21% of the genome was composed of repetitive sequences, including 46.39% long-terminal repeat (LTR) retrotransposons and 19.43% DNA transposons (Table 4).

Table 4.

Classification of repetitive sequences of H. omeiensis genome.

Type Number of elements Sequence length (bp) Percentage (%)
Retroelements LTR elements Gypsy 701,531 1,006,106,967 36.60
Copia 185,233 172,265,891 6.26
Caulimovirus 12,359 13,943,858 0.50
Cassandra 410 573,724 0.02
DIRS 128 78,353 0.00
Total 929,626 1,275,113,390 46.39
LINE 26,024 43,464,843 1.58
SINE 13,225 2,251,476 0.08
Total 968,875 1,320,734,580 48.05
DNA transposons 1,318,664 534,237,277 19.43
Rolling-circles 6,346 12,191,657 0.44
Simple repeat 366,173 17,496,450 0.63
Low complexity 62,060 4,145,299 0.15
Satellite 13,489 11,312,672 0.41
snRNA 12 23,995 0.00
tRNA 43 40,922 0.00
rRNA 1,244 4,406,540 0.16
Unknown 441,975 132,712,782 4.82
Total 3,178,881 1,984,642,021 72.21

After masking repetitive sequences in the genome, three strategies (homology-based, RNA-seq-guided, and ab initio methods) were used for the annotation process. For the RNA-seq-guided method, the RNA sequencing data were provided to HISAT2 v2.1.024 and SAMtools v1.1125 to map the data to the repeat-masked genome. Then, TransDecoder v5.5.0 (https://github.com/TransDecoder/TransDecoder) was used to predict the open reading frame (ORF), and filter out the gene models with identities greater than 80% at the amino acid level between pairs to obtain nonredundant results. Protein sequences from Vitis vinifera, Arabidopsis thaliana, Solanum lycopersicum, Daucus carota, and Ilex latifolia were aligned to the query genome as homologous proteins using GeneWise v2.4.126 to estimate protein-coding genes (Supplementary Table S2). Ab initio prediction was carried out with AUGUSTUS v3.4.027, which guided by previous prediction results. Based on the GETA pipeline, all the outputs were validated using HMMER v3.3.228 and NCBI-BLAST + v2.13.0 + before being integrated into a complete and nonredundant set of gene annotations.

Following the alignments by DIAMOND v2.0.1529, gene functions were indicated using the Nonredundant Protein Sequence Database (NR)30, InterPro31, UniProt32, and EggNOG33 with an e-value of 1e-5. In addition, GO annotation was performed by KOBAS34 (http://kobas.cbi.pku.edu.cnwas) aligned with the Arabidopsis thaliana database.

Data Records

All the raw sequencing reads of H. omeiensis were uploaded to the NCBI database under accession number SRP43521335. The genome assembly had been submitted to Genome Warehouse in China National Center for Bioinformation under accession number GWHEQHK0000000036 and European Nucleotide Archive (ENA) with accession number GCA_964187755.237. The annotation files of the genome are available in the figshare database: 10.6084/m9.figshare.22817414.v338.

Technical Validation

Evaluation of the genome assembly and annotation

To assess the integrity of the assembly, short reads were mapped to the genomes using minimap239, giving a mapping rate of 96.59% and a genome coverage of 99.85%. The alignment rate of RNA sequencing reads was 96.95% and 94.10% for two H. omeiensis samples by HISAT2 v2.1.0 (Supplementary Table S3)24. The completeness and accuracy of the final genome assembly were checked by Benchmarking Universal Single-Copy Orthologs (BUSCO) v5.4.240 with eudicots_odb10. The results showed that 98.2% of orthologs of eudicots could be identified in the assembly (Supplementary Figure S2). Moreover, the values evaluated by Merqury v1.341 based on short reads also showed high consensus quality (accuracy > 99.99%, QV > 58) and low base-level error rates (1.37 × 10−6). In addition, the LTR Assembly Index (LAI) score of the whole-genome assembly was calculated to be 24.52, exceeding that of rice (MSUV7) and Arabidopsis (TAIR10), reaching the ‘gold quality’42. These results demonstrated that the assembly is reliable and has high base-level accuracy, high completeness, and high contiguity.

Via multiple annotation approaches, we identified 53,951 protein-coding genes in the H. omeiensis genome (Table 5). BUSCO analysis showed the completeness of predicted genes was 94.5% (Supplementary Figure S2). The functional analysis revealed that 99.7% of the protein-encoding genes could be annotated in at least one of five public databases (Fig. 4).

Table 5.

Predicted protein-coding genes of H. omeiensis.

Features Number Size mean (bp) % of the genome
gene 53,951 5,145.9 10.1
exon 208,603 341.6 2.6
intron 154,652 1,334.4 7.5
mean exons per gene 3.9
mean introns per gene 2.9
five_prime_utr 25,149 171.8 0.2
three_prime_utr 16,528 282.9 0.2

Fig. 4.

Fig. 4

Venn diagram displaying the matches of genes of H. omeiensis in five public protein databases.

Supplementary information

Supplementary Information (333.4KB, pdf)

Acknowledgements

This research was supported by the Natural Science Foundation of China (32171606, 41771055).

Author contributions

Y.C., L.F. and H.L. collected the materials and performed the genome sequencing and assembly. Y.C. performed the data validation and analyses. Y.C., J.L. and Q.H. wrote the manuscript. All the authors approved the submitted version.

Code availability

(1) SOAPnuke v1.5.6: parameters: -n 0.01 -l 20 -q 0.1 -i -Q 2 -G -M 2 -A 0.5 -d

(2) Cutadapt v1.16: parameters: -a AGATCGGAAG -q 20

All the other software and pipelines not listed or described in the methods section used the default parameters.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

The online version contains supplementary material available at 10.1038/s41597-024-03568-7.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Citations

  1. 2023. NCBI Sequence Read Archive. SRP435213
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Supplementary Materials

Supplementary Information (333.4KB, pdf)

Data Availability Statement

(1) SOAPnuke v1.5.6: parameters: -n 0.01 -l 20 -q 0.1 -i -Q 2 -G -M 2 -A 0.5 -d

(2) Cutadapt v1.16: parameters: -a AGATCGGAAG -q 20

All the other software and pipelines not listed or described in the methods section used the default parameters.


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