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The complete chloroplast genome sequence of strawberry (Fragaria  × ananassa Duch.) and comparison with related species of Rosaceae

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RT @thePeerJ: Article presents first complete chloroplast genome sequence of strawberry (Fragaria × ananassa Duch.) https://t.co/YzNLS3M13…
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Article presents first complete chloroplast genome sequence of strawberry (Fragaria × ananassa Duch.) https://t.co/YzNLS3M13I https://t.co/od4jfHMhcg


The chloroplast, which is considered to have originated from free-living cyanobacteria through endosymbiosis, plays an essential role in photosynthesis and many biosynthetic activities (Keeling, 2004). Most chloroplast genomes of angiosperms exhibit a highly conserved organization with a typical quadripartite structure that includes two copies of inverted repeats (IRs), separated by large (LSC) and small (SSC) single-copy (SC) regions (Palmer, 1991; Jansen et al., 2005). In general, the chloroplast genomes of angiosperms encode 110–130 genes with a size range of 120–160 kb (Palmer, 1985). Variation in genome size can be attributed to IR expansion/contraction or even loss (Ma et al., 2014; Zhang et al., 2014; Lei et al., 2016). Although chloroplast DNA (cpDNA) is inherited maternally in most angiosperms, cpDNA transmission in Medicago sativa is reported to be biparental or paternal (Smith, Bingham & Fulton, 1986; Schumann & Hancock, 1989), and paternal inheritance has been demonstrated in Actinidia chinensis (Testolin & Cipriani, 1997). Compared with the nuclear genome, the chloroplast genome is small, and the rate of nucleotide substitutions is so low that the chloroplast genome is considered to be an ideal system for studies on phylogeny (Wei et al., 2005). In addition, chloroplast transformation presents the advantages of producing high protein levels, site-specific integration of transgenes, and a lack of posttranscriptional gene silencing, making it an environmentally friendly strategy for plant genetic engineering (Daniell, Khan & Allison, 2002; Bock, 2014).

The family Rosaceae includes approximately 3,000 species from 90 genera distributed throughout the world, with particular enrichment in the North Temperate Zone (Potter et al., 2007), and many species of Rosaceae exhibit important economic value, such as common fruits, including apple (Malus), pear (Pyrus), peach (Prunus) and strawberry (Fragaria) as well as ornamentals, e.g., Rosa and Spiraea. The assembled nuclear genomes of Malus × domestica (Velasco et al., 2010), seven Fragaria species (Shulaev et al., 2011; Hirakawa et al., 2014; Tennessen et al., 2013), Prunus mume (Zhang et al., 2012), Pyrus bretschneideri (Wu et al., 2013), Prunus persica (Verde et al., 2013), and Rubus occidentalis (VanBuren et al., 2016) have been reported, providing valuable information for evolutionary classification. Nevertheless, due to apomixis, hybridization and assumed rapid radiation, the phylogenetic relationships among Rosaceae species have long been uncertain (Potter et al., 2007; Campbell et al., 2007; Lo & Donoghue, 2012). With the rapid development of next-generation sequencing, researchers recently sequenced 125 new transcriptomic and genomic datasets and identified hundreds of nuclear genes to reconstruct a well-resolved Rosaceae phylogeny (Xiang et al., 2017). Moreover, 130 complete chloroplast genomes in Rosaceae have also been sequenced, and the phylogenetic relationships among members of this family have been thoroughly analyzed (Zhang et al., 2017).

The genus Fragaria belongs to subtribe Fragariinae within tribe Potentilleae of subfamily Rosoideae (Potter et al., 2007; Xiang et al., 2017) and is comprised of one cultivated (F. × ananassa) and 24 wild species (Staudt, 2009; Hummer, Nathewet & Yanagi, 2009). Fragaria species exhibit natural variation in ploidy ranging from diploid to decaploid (Hummer, Nathewet & Yanagi, 2009; Hummer, 2012), although chloroplast DNA is unaffected by such changes in ploidy, which can complicate phylogenetic analyses (Palmer, 1986). Moreover, as haplotype analysis supports maternal inheritance of the chloroplast genome in Fragaria (Honjo et al., 2009; Davis et al., 2010), phylogenetic analyses of Fragaria have been attempted using chloroplast genome sequences (Harrison, Luby & Furnier, 1997; Potter, Luby & Harrison, 2000; Lin & Davis, 2000; Njuguna et al., 2013; Govindarajulu et al., 2015). Although Fragaria exhibits limited variation in chloroplast sequences (Njuguna, 2010), comparative analyses of Fragaria using the entire chloroplast genome can provide comprehensive genetic information, for example, on InDels and nucleotide substitutions, which can be utilized as molecular markers and for diversity analyses (Cho et al., 2015). To date, seven complete chloroplast genomes of Fragaria have been released by National Centre for Biotechnology Information (NCBI, https://www.ncbi.nlm.nih.gov/), for one accession each of the octoploids F. chiloensis (GP33, PI612489) (GenBank: JN884816), and F. virginiana (O477, PI657873) (GenBank: JN884817); diploid F. vesca ssp. vesca (Hawaii 4, PI551572) (GenBank: JF345175); three accessions of diploid F. vesca ssp. bracteata (MRD30, PI 664465; MRD102; LNF40) (GenBank: KC507755, KC507756, and KC507757); diploid F. pentaphylla (GenBank: KY434061), and a partial 130 kb chloroplast genome assembly of F. vesca ssp. americana (cp130096) as submitted GenBank (GU363535) (Davis et al., 2010). Thus, enrichment of complete chloroplast genomes is necessary to study evolution in Fragaria.

Cultivated strawberry (F. × ananassa Duch.) is one of the most economically important fruit crops in the world. It originated from accidental hybridization between F. virginiana and F. chiloensis in Europe during the early to mid-1700s, and systematic breeding using a small number of native and cultivated clones began in England and North America in the 1800s (Darrow, 1966). Wild strawberries have recently been employed to increase genetic diversity (Noguchi, 2011), though most modern strawberry cultivars are the progeny of F. × ananassa germplasm (Honjo et al., 2009; Hancock, 2008; Luby et al., 2008). F. × ananassa ‘Benihoppe’ (Registration no. 10371 in Japan, http://www.hinsyu.maff.go.jp/) was selected from Akihime × Sachinoka progenies in Shizuoka Prefecture, Japan, in 1994. This cultivar exhibits the characteristics of large size, rich flavor, firm texture and high yield (Takeuchi et al., 1999) and has become one of the main strawberry cultivars grown in China. The research of transgenic ‘Benihoppe’ strawberry via Agrobacterium-mediated to nuclear genome has been reported (Wang et al., 2014; Gu et al., 2015; Gu et al., 2017). However, the lack of a complete chloroplast genome sequence is one of the major limitations restricting the development of chloroplast genetic engineering.

Here, we report the first complete chloroplast genome of cultivated strawberry (F. × ananassa ‘Benihoppe’) based on next-generation sequencing methods (Illumina HiSeq 2500-PE150). In addition to describing the characteristics of the chloroplast genome, we conducted comparative analysis against nine other Rosaceae species, including Fragaria species in particular. The generation of the complete chloroplast genome of F. × ananassa ‘Benihoppe’ is significant for phylogenetic and evolutionary research within Fragaria and provides valuable data for chloroplast genetic engineering and understanding molecular evolution.

Materials and Methods

Plant material, DNA sequencing and genome assembly

Approximately 100 g of fresh young leaves of F. × ananassa ‘Benihoppe’ was collected from the Zhenjiang Institute of Agricultural Sciences in a Hilly Area of Jiangsu, Jurong, China. The voucher specimens were deposited in the laboratory of Fruit Tree Biotechnology of Nanjing Agricultural University. Chloroplast DNA was extracted using the high-salt saline plus Percoll gradient method of Vieira et al. (2014). A paired-end library was constructed from 50 ng of purified cpDNA according to the manufacturer’s instructions (Illumina, San Diego, CA, USA). The library, which contained an insert size of 350 bp, was sequenced using the Illumina HiSeq 2500-PE150 platform by Beijing Novogene Bioinformatics Technology Co., Ltd. (Beijing, China). MITObim v1.8 (Hahn, Bachmann & Chevreux, 2013) was utilized for de novo genome assembly, and the chloroplast genome reads were aligned to closely related cpDNA sequences from F. vesca ssp. vesca Hawaii 4 (JF345175). Different k-mer sizes were tested, among which 31 bp produced the best results and was used to generate the final assembly in terms of the single longest scaffold length. The junctions between SC and IR regions were verified through polymerase chain reaction (PCR) amplification using sequence-specific primers (File S1). The PCR products were sequenced via Sanger sequencing.

Genome annotation and codon usage

The Dual Organellar GenoMe Annotator (DOGMA; http://dogma.ccbb.utexas.edu/, Wyman, Jansen & Boore, 2004) was employed to annotate the F. × ananassa ‘Benihoppe’ chloroplast genome. The initial annotations and putative start, stop, and intron positions were checked manually based on comparison with homologous genes in other Fragaria chloroplast genomes available in the GenBank database. Additionally, tRNA genes were identified using tRNAscan-SE 1.21 (http://lowelab.ucsc.edu/tRNAscan-SE/; Schattner, Brooks & Lowe, 2005) and ARAGORN (Laslett & Canback, 2004). A circular chloroplast genome map of F. × ananassa ‘Benihoppe’ was constructed using the online tool OGDRAW (http://ogdraw.mpimp-golm.mpg.de; Lohse, Drechsel & Bock, 2007). GC content, codon usage and relative synonymous codon usage (RSCU) were analyzed with MEGA 7 software (Kumar et al., 2008).

Repeat structure and simple sequence repeats (SSRs)

The sizes and locations of forward, reverse, palindromic and complementary repeats were determined with the REPuter program (Kurtz et al., 2001). The minimum identity and size of the repeats were limited to 90% (Hamming distance of 3) and 30 bp, respectively. SSRs in the chloroplast genome were detected using MISA (Thiel et al., 2003) with the following parameters: minimum SSR motif length of 10 bp and repeat lengths of mono-10, di-5, tri-4, tetra-3, penta-3 and hexa-3.

Comparison with other Rosaceae chloroplast genomes

One species was selected from each of the four most important fruit tree or ornamental species (Malus Mill., Pyrus L., Prunus L., and Rosa L.) of Rosaceae and from the genus Fragaria, including F. chiloensis (GP33), F. virginiana (O477), F. vesca ssp. vesca (Hawaii 4), F. vesca ssp. bracteata (MRD30) and F. pentaphylla (KY434061). The complete chloroplast genome of F. × ananassa ‘Benihoppe’ was employed as a reference and was compared with the chloroplast genomes of the nine other species using mVISTA software in the Shuffle-LAGAN mode (Frazer et al., 2004).

Nucleotide substitution in coding regions

All 78 functional protein-coding genes were extracted from the six Fragaria species (Rosoideae), Rosa roxburghii (Rosoideae) (KX768420) and Prunus persica ‘Nemared’ (Amygdaloideae) (HQ336405), and 77 protein-coding genes from Malus prunifolia (MPRUN20160302) (Amygdaloideae) (KU851961) and Pryus pyrifolia ‘Hosui’ (Amygdaloideae) (AP012207) were employed because the psbL gene was not annotated. Each exon was aligned with those of F. × ananassa ‘Benihoppe’ using ClustalX v2.1 (Thompson et al., 1997). The alignment file was then analyzed with DnaSP v5 (Librado & Rozas, 2009) to calculate synonymous (Ks) and nonsynonymous (Ka) substitution rates.

cpDNA marker identification in Fragaria

The seven complete chloroplast genomes of Fragaria species that have been released by NCBI (as above) as well as two nearly complete chloroplast genomes which were F. mandshurica (fc199s6) (KC507760) and F. iinumae (fc199s5) (KC507759) and the chloroplast genome of cultivar ‘Benihoppe’ were used to identify rapidly evolving molecular markers that may be employed for phylogenetic analysis of Fragaria. As the coding regions are highly conserved, only fragments from non-coding regions were considered. Homologous regions were aligned using MEGA 7 and adjusted manually where necessary. Then, the percentage of variable sites for each region was calculated. The proportion of mutation events = (NS/L) × 100, where NS = number of nucleotide substitutions, and L = aligned sequence length (Li et al., 2013). Because parsimony-informative sites (PIS) are commonly used in phylogenetic analyses, the number of PIS was calculated as well.

To examine the phylogenetic applications of rapidly evolving molecular markers, the maximum parsimony (MP) method was employed to construct phylogenetic trees using MEGA 7 with the following parameters: gaps in the alignment treated as missing, 1,000 replicates for bootstrap support, and tree bisection-reconnection (TBR) branch swapping.

Results and Discussion

Chloroplast genome assembly, organization, and gene content

In total, 276 Mb of 150-bp raw paired-end reads was retrieved and trimmed, and 241 Mb of high-quality short reads was finally employed to assemble the chloroplast genome, using a combination of the MITObim v1.8 de novo assembly and reference-guided (GenBank: JF345175) mapping of contigs to generate complete chloroplast genome sequences. Finally, the generated data were assembled into the single longest scaffold spanning the F. × ananassa ‘Benihoppe’ chloroplast genome. To validate the assembly, four junctions between SC and IR regions were confirmed through PCR amplification and Sanger sequencing. No mismatches or InDels were observed between the Sanger sequencing and the assembled genome, which verified the correctness of our genome sequencing and assembly results.

The F. × ananassa ‘Benihoppe’ chloroplast genome is a typical circular double-stranded DNA molecule with a quadripartite structure; it is 155,549 bp in size and consists of IR (25,936 bp) regions separated by LSC (85,531 bp) and SSC (18,146 bp) regions (Fig. 1, Table 1). The GC content of the chloroplast genome is 37.23% (Table 1), and the GC contents of the LSC and SSC regions (35.12% and 31.14%) are lower than those of the IR regions (42.85%). The high GC contents in the IR regions are mainly due to the high GC contents of the four ribosomal RNA (rRNA) genes (55.43%) which is similar to most of other plants cp genomes (Wang, Shi & Gao, 2013; Shen et al., 2016; Kong & Yang, 2017).

Gene map of the F. ×  ananassa ‘Benihoppe’ chloroplast genome.

Figure 1: Gene map of the F. ×  ananassa ‘Benihoppe’ chloroplast genome.

Genes inside the circle are transcribed in the clockwise direction, and those outside are transcribed in the counter-clockwise direction. Color coding indicates genes of different functional groups. The dark-gray inner circle denotes the GC content, and the lighter-gray circle denotes the AT content.
Table 1:
Summary of the complete chloroplast genome characteristics of ten species in Rosaceae.
Species Genome size (bp) LSC size (bp) SSC size (bp) IR size (bp) Number of genes Protein- coding genes tRNA genes rRNA genes Number of genes duplicated in IR GC content (%) GenBank no. Reference
F. ×ananassa ‘Benihoppe’ 155,549 85,531 18,146 25,936 112 78 (7) 30 (7) 4 (4) 18 37.23% KY358226 This article
F. chiloensis (GP33) 155,603 85,566 18,147 25,945 112 78 (7) 30 (7) 4 (4) 18 37.22% JN884816 Salamone et al. (2013)
F. virginiana (O477) 155,621 85,585 18,146 25,945 112 78 (7) 30 (7) 4 (4) 18 37.23% JN884817 Salamone et al. (2013)
F. vesca ssp. vesca (Hawaii 4) 155,691 85,605 18,174 25,956 112 78 (7) 30 (7) 4 (4) 18 37.21% JF345175 Shulaev et al. (2011)
F. vesca ssp. bracteata (MRD30) 155,619 85,566 18,151 25,951 112 78 (7) 30 (7) 4 (4) 18 37.23% KC507755 Unpublished
F. pentaphylla 155,640 85,571 18,145 25,962 112 78 (7) 30 (7) 4 (4) 18 37.25% KY434061 Bai et al. (2017)
R. roxburghii 156,749 85,851 18,792 26,053 114 79 (7) 31 (7) 4 (4) 18 37.23% KX768420 Unpublished
M. prunifolia (MPRUN20160302) 160,041 88,119 19,204 26,359 111 77 (7) 30 (7) 4 (4) 18 36.56% KU851961 Bao et al. (2016)
P. pyrifolia ‘Hosui’ 159,922 87,901 19,237 26,392 111 77 (6) 30 (7) 4 (4) 17 36.58% AP012207 Terakami et al. (2012)
P. persica ‘Nemared’ 157,790 85,968 19,060 26,381 112 78 (5) 30 (7) 4 (4) 16 36.76% HQ336405 Jansen et al. (2011)
DOI: 10.7717/peerj.3919/table-1



large single copy


small single copy


inverted repeat (A/B)


base pairs

Figures in brackets denote the number of genes duplicated in IR.

There are 130 genes in the chloroplast genome of F. × ananassa ‘Benihoppe’, 112 of which are unique, including 78 protein-coding genes, 30 tRNA genes and 4 rRNA genes. The genes that are repeated in IRs comprise seven protein-coding genes, seven tRNA genes, and four rRNA genes (Fig. 1, Table 2). Among these genes, a single intron was detected in 15 genes (nine protein-coding genes and 6 tRNA genes), while two genes (ycf3 and clpP) were found exhibit two introns each (File S2). The trnK-UUU gene harbors the largest intron (2,497 bp), which contains the matK gene, whereas the intron of trnL-UAA is smallest (422 bp). Two genes with internal stop codons (ycf15 and ycf68) and one without a stop codon (infA) were annotated as pseudogenes. Absence or pseudogenization of these three genes has also been reported in other Rosaceae species, such as Eriobotrya japonica (Shen et al., 2016) and Prinsepia utilis (Wang, Shi & Gao, 2013). The rps12 gene is a trans-spliced gene with a 5′ exon located in an LSC region and two 3′ exons located in IR regions. The complete chloroplast genome with gene annotations has been deposited in the NCBI GenBank database (accession number: KY358226).

Table 2:
List of annotated genes in the F.× ananassa ‘Benihoppe’ chloroplast genome.
Category Gene group Gene name
Photosynthesis Subunits of photosystem I psaA psaB psaC psaI psaJ
Subunits of photosystem II psbA psbB psbC psbD psbE
psbF psbH psbI psbJ psbK
psbL psbM psbN psbT psbZ
Subunits of NADH dehydrogenase ndhAb ndhBb,c ndhC ndhD ndhE
ndhF ndhG ndhH ndhI ndhJ
Subunits of cytochrome b/f complex petA petBb petDb petG petL
Subunits of ATP synthase atpA atpB atpE atpF atpH
Large subunit of rubisco rbcL
Self-replication Proteins of large ribosomal subunit rpl2b,c rpl14 rpl16b rpl20 rpl23c
rpl32 rpl33 rpl36
Proteins of small ribosomal subunit rps2 rps3 rps4 rps7c rps8
rps11 rps12b,c rps14 rps15 rps16b
rps18 rps19
Subunits of RNA polymerase rpoA rpoB rpoC1b rpoC2
Ribosomal RNAs rrn16c rrn23c rrn4.5c rrn5c
Transfer RNAs trnA-UGCb,c trnC-GCA trnD-GUC trnE-UUC trnF-GAA
trnG -GCCb trnG-UCC trnH-GUG trnI-CAUc trnI-GAUb,c
trnK-UUUb trnL-CAAc trnL-UAAb trnL-UAG trnfM-CAU
trnM-CAU trnN-GUUc trnP-UGG trnQ-UUG trnR-ACGc
trnR-UCU trnS-GCU trnS-GGA trnS-UGA trnT-GGU
trnT-UGU trnV-GACc trnV-UACb trnW-CCA trnY-GUA
Other genes Maturase matK
Protease clpPa
Envelope membrane protein cemA
Acetyl-CoA carboxylase accD
c-type cytochrome synthesis gene ccsA
Translation initiation factor infAd
Genes of unknown function Conserved hypothetical chloroplast ORF ycf1c ycf2c ycf3a ycf4 ycf15c,d
ycf68c,d orf42c orf56c
DOI: 10.7717/peerj.3919/table-2


Gene with two introns.
Gene with one intron.
Genes located in the inverted repeats.

Overall, 22,709 codons encoding 78 protein-coding genes were identified in the complete chloroplast genome and classified according to codon usage (File S3), among which 2,405 (10.59%) encode leucine (the most abundant amino acid), and 252 (1.11%) encode cysteine (the least abundant amino acid). RSCU analysis showed A/T contents of 53.89%, 61.84% and 70.17% at the first, second and third codon positions, respectively. This pattern of higher A/T bias at the third codon position is common in the chloroplast genomes of land plants (Morton, 1998; Gurusamy & Seonjoo, 2016).

Repeat structure and SSR loci

A total of 39 repeat structures with a minimal length of 30 bp and minimal identity of 90% were found (File S4), including 14, 6, 2 and 17 forward, reverse, complementary, and palindromic structures, respectively. Among these structures, the longest is 67 bp and is located between trnM-CAU and atpE. Most of the repeat structures are located in intergenic regions (65.4%), while fewer than half are located in coding genes (21.8%; ndhA, ycf2, psaA, psaB, trnS-GGA, psbJ, trnG-UCC and trnG-GCC) or introns (12.8%; ycf3, ndhB and clpP).

Simple sequence repeats (SSRs) in chloroplast genomes have become valuable molecular markers because of their high degree of variation within an individual species, which is useful for linkage map construction and plant breeding (Powell et al., 1995; Xue, Wang & Zhou, 2012). In the F. × ananassa ‘Benihoppe’ chloroplast genome, 61 SSR loci with a length of at least 10 bp were detected, among which 38 (62.3%) are mononucleotide repeats; 16 (26.2%) are di-repeats; three (4.9%) are tri-repeats; and four are (6.6%) tetra-repeats. No pentanucleotides or hexanucleotides were found. Most of the observed mononucleotide repeat sequences consist of A/T motifs, whereas only one is composed of a G/C motif. Similarly, 93.75% of the dinucleotide repeat sequences consist of AT/TA motifs. The results showed that the SSRs exhibit a strong AT bias, which is consistent with other studies (Lei et al., 2016; Kuang et al., 2011). Among the 61 SSR loci, 44 are located in intergenic regions, eight in introns, and nine in coding regions of genes (Table 3).

Table 3:
Distribution of simple sequence repeat (SSR) loci in the F. × ananassa ‘Benihoppe’ chloroplast genome.
Repeat motif Length (bp) Number of SSRs Start positiona,b
A 10 11 3,744*; 7,019; 7,609; 8,256; 26,933; 47,455; 60,427; 65,327 (psbF); 66,476; 69,482; 109,237;
11 2 15,732; 139,818
12 2 7,853; 136,910
15 1 8,608
16 1 36,532
17 1 7,969
T 10 8 15,712; 25,631 (rpoB); 46,143; 55,594 (atpB); 61,734; 121,755*; 128,786 (ycf1); 131,836
11 6 12,219; 17,914 (rpoC2); 45,448; 60,613; 101,254; 119,816
12 2 27,869; 104,161
14 1 70,953
15 1 71,654
16 1 64,340
G 12 1 64,213
AT 10 5 7,065; 29,392; 37,199; 60,337; 120,666
TA 10 5 4,891; 6,971; 19,292 (rpoC2); 52,497; 121,687
12 5 1,663; 6,993; 7,053; 36,475; 60,325;
TC 10 1 62,100 (cemA)
AAT 12 1 127,596 (ycf1)
ATA 12 1 154,754
TAT 12 1 86,317
AAAT 12 1 55,693
AATA 12 1 6,423
ATGT 12 1 79,222 (rpoA)
TATT 12 1 72,668
DOI: 10.7717/peerj.3919/table-3


The SSR-containing coding regions are indicated in parentheses.
Asterisk denote the SSR-containing introns.

Comparison with other chloroplast genomes from Rosaceae

Nine chloroplast genomes representing five genera in Rosaceae were compared with that of F. × ananassa ‘Benihoppe’ (Table 1). The length of the Fragaria chloroplast genomes ranges from 155,549 to 155,691 bp, with F. vesca ssp. vesca (Hawaii 4) exhibiting the largest chloroplast genome and F. × ananassa ‘Benihoppe’ the smallest. The length of the LSC regions shows greater variation, ranging from 85,531 to 85,605 bp, with F. vesca ssp. vesca (Hawaii 4) exhibiting the longest, followed by F. virginiana (O477), while F. × ananassa ‘Benihoppe’ harbors the shortest (Table 1). However, the IR regions of diploid strawberries are longer than those of three octoploid strawberries. F. pentaphylla (KY434061) exhibits the shortest SSC regions. Furthermore, the size of the F. × ananassa ‘Benihoppe’ chloroplast genome is smaller than those of the other four species in Rosaceae, being approximately 4.5 kb, 4.4 kb, 2.2 kb and 1.2 kb smaller than those of M. prunifolia (MPRUN20160302), P. pyrifolia ‘Hosui’, P. persica ‘Nemared’, and R. roxburghii (KX768420), respectively. The differences in genome size can largely be attributed to variation in the length of SSC and IR regions (Table 1).

The results also revealed that the gene content and gene order of F. × ananassa ‘Benihoppe’ are identical to those of the five previously reported the genus Fragaria chloroplast genomes. Interestingly, the loss of a group II intron of the atpF gene, as observed in Fragaria (Table 2), has previously been reported for Malpighiales (Daniell et al., 2008) and R. roxburghii (KX768420). However, the numbers of unique genes found in the F. × ananassa ‘Benihoppe’, R. roxburghii (KX768420), M. prunifolia (MPRUN20160302), Ppyrifolia ‘Hosui’, and P. persica ‘Nemared’ chloroplast genomes were 112, 114, 111, 111 and 112, respectively, due to the absence of the psbL gene in M. prunifolia (MPRUN20160302) and P. pyrifolia ‘Hosui’, the absence of the trnG-GCC gene in R. roxburghii (KX768420), and the presence of three genes, infA, trnP-GGG and trnM-CAU, only in R. roxburghii (KX768420). The GC content among the ten species was similar, ranging from 36.56 to 37.25%, with the seven Rosoideae species all exhibiting a high GC content, of approximately 37.2% (Table 1).

The mVISTA program was employed to analyze the overall sequence identity among all ten Rosaceae members at the chloroplast genome level, using the annotation for F. × ananassa ‘Benihoppe’ as a reference (Fig. 2). The results showed high similarity among the Fragaria chloroplast genome sequences, particularly for F. × ananassa ‘Benihoppe’, F. chiloensis (GP33) and F. virginiana (O477). Among the other Rosaceae species, the F. × ananassa ‘Benihoppe’ chloroplast genome was most similar to that of R. roxburghii (KX768420) and most divergent from that of P. persica ‘Nemared’. Overall, the results revealed SC regions to be more divergent than IR regions, with higher divergence being observed in non-coding regions than in coding regions, which is a common phenomenon in the chloroplast genomes of angiosperms (Yao et al., 2015; Ni et al., 2016; Asaf et al., 2016). The coding regions with marked differences include the ycf1, matK and psaI genes. The highest divergence in non-coding regions was found for rps16-trnQ, petN-psbM, ndhC-trnV, petA-psbL and rpl32-ccsA. These results are similar to those of other analyses performed in Rosaceae (Wang, Shi & Gao, 2013; Shen et al., 2016), suggesting that these regions evolve rapidly in Rosaceae.

Whole-chloroplast-genome alignments for nine Rosaceae species obtained using the mVISTA program, with the F. ×  ananassa ‘Benihoppe’ chloroplast genome as the reference.

Figure 2: Whole-chloroplast-genome alignments for nine Rosaceae species obtained using the mVISTA program, with the F. ×  ananassa ‘Benihoppe’ chloroplast genome as the reference.

The Y-scale indicates identity from 50% to 100%. Gray arrows indicate the position and direction of each gene. Red indicates non-coding sequences (CNS); blue indicates the exons of protein-coding genes (exon); and lime green indicates the introns of protein-coding genes (intron).

IR contraction and expansion

In general, IR regions are considered to be the most conserved regions in the chloroplast genome. Nevertheless, expansion and contraction of the border region between SC and IR regions are common during evolution and contribute to variation in chloroplast genome length (Wang et al., 2008; Li et al., 2013). Thus, the positions of LSC/IRA/SSC/IRB borders and the adjacent genes in the ten Rosaceae chloroplast genomes were aligned (Fig. 3). The SSC/IRB boundary of F. × ananassa ‘Benihoppe’ is consistent with those of the other Fragaria species. All of the genomes except for those of F. vesca ssp. vesca (Hawaii 4) and F. pentaphylla (KY434061) exhibit IRA/SSC boundaries of the same length, and due to contraction of the IR region at the IRB/LSC boundary, F. ×  ananassa ‘Benihoppe’ exhibits the shortest IR region among the six Fragaria species.

Comparison of the borders of LSC, SSC and IR regions in ten Rosaceae chloroplast genomes.

Figure 3: Comparison of the borders of LSC, SSC and IR regions in ten Rosaceae chloroplast genomes.

Compared with those of other Rosaceae species, the rps19 genes of Fragaria species and R. roxburghii (KX768420) are shifted to an LSC region with a 12–21 bp gap. However, the rps19 genes of M. prunifolia (MPRUN20160302), P. pyrifolia ‘Hosui’ and P. persica ‘Nemared’ extend from the LSC to the IRA region, showing variability of 120–182 bp, resulting in the presence of an rps19 pseudogene of the same length in IRB. The SSC/IRB boundary extends to the ycf1 coding region, ranging from 1,051 bp (P. persica ‘Nemared’) to 1,106 bp (R. roxburghii, KX768420), leading to a nonfunctional ycf1 gene in IRA. The ndhF gene is located entirely in the SSC region in Rosoideae species but varies in distance from the IRA/SSC border. However, in M. prunifolia (MPRUN20160302), P. pyrifolia ‘Hosui’, and P. persica ‘Nemared’, part of the ndhF gene is located in IRA. In general, the position of the trnH gene in the chloroplast genome is quite conserved between monocot and dicot species. In monocots, the trnH gene is located in the IR region, whereas it is located in the LSC region in dicots (Asano et al., 2004). In all of the analyzed genomes, the trnH gene is located in the LSC region, although its distance from the IRB/LSC junction ranges from 0 to 101 bp. Overall, a similar pattern of expansion and contraction of IR/SC regions was observed among the Fragaria species and R. roxburghii (KX768420), differing from M. prunifolia (MPRUN20160302), P. pyrifolia ‘Hosui’ and P. persica ‘Nemared’ (Fig. 3).

Selection pressure on the F.× ananassa ‘Benihoppe’ chloroplast genome

The Ka/Ks ratio was calculated for 78 protein-coding genes in all nine chloroplast genomes, with a value of 0 indicating neutral selection. The Ka/Ks ratio of the Fragaria chloroplast genomes was typically calculated to be 0, except for six genes in F. vesca ssp. vesca (Hawaii 4) (rpoC2, ndhD, ndhF, psbB, ycf1 and ycf4), three genes in F. vesca ssp. bracteata (MRD30) (ndhF, ycf1, and ycf4) and thirteen genes in F. pentaphylla (KY434061) (rpoC1, rpoC2, atpB, atpH, ndhA, ndhD, ndhF, ndhH, petA, psbB, rbcL, ycf1 and ycf4) (File S5).

Among the protein-coding genes in the chloroplast genomes of the other Rosaceae species, the Ka/Ks ratio was observed to be highest in genes within the SSC regions (Table 4). In the comparison of Fragaria with Rosa and Malus, the lowest Ka/Ks ratio was found in the IR region. However, in the comparison of Pyrus and Prunus, the LSC region showed the lowest Ka/Ks ratio (Fig. 4, Table 4). The lowest Ka/Ks ratio was observed for genes encoding subunits of ATP synthase, subunits of the cytochrome b/f complex, subunits of photosystem II and the large subunit of RuBisCO (File S5). With the exception of the rpl16 gene of Rosa, the Ka/Ks ratio of all genes was found to be less than 1, suggesting purifying selection on these genes (Fig. 4).

Table 4:
Ka/Ks ratio of protein-coding genes from four Rosaceae species for comparsion with Fragaria.
Region Fragaria vs Rosa Fragaria vs Malus Fragaria vs Pyrus Fragaria vs Prunus
LSC 0.14101 0.11975 0.11924 0.11595
IR 0.11607 0.11744 0.12212 0.13104
SSC 0.14942 0.15972 0.15895 0.14729
DOI: 10.7717/peerj.3919/table-4
Ka/Ks ratios of 78 protein-coding genes in Fragaria, Rosa, Malus, Pyrus and Prunus.

Figure 4: Ka/Ks ratios of 78 protein-coding genes in Fragaria, Rosa, Malus, Pyrus and Prunus.

Blue boxes indicate the Ka/Ks ratio for Fragaria vs. Rosa; red, Fragaria vs. Malus; green, Fragaria vs. Pyrus; and purple, Fragaria vs. Prunus.

Variation in chloroplast DNA in three octoploid strawberries

The complete chloroplast genomes were found to be most similar among the three octoploid strawberries. However, when the sequences of the coding and non-coding regions of F. × ananassa ‘Benihoppe’ were compared in detail with those of F. chiloensis (GP33) and Fvirginiana (O477), a number of SNPs and InDels were revealed (Table 5).

Table 5:
SNPs and InDels among the F.× ananassa ‘Benihoppe’, F. chiloensis (GP33) and F. virginiana (O477) chloroplast genomes.
Number Type Position Location Nucleotide positionb F.× ananassa ‘Benihoppe’ F. chiloensis (GP33) F. virginiana (O477)
1 SNP LSC/trnK-rps16 CNSa 4,274 C A C
2 SNP LSC/rps16-intron CNS 5,974 A C A
3 SNP LSC/rps16-trnQ CNS 6,982 T A T
4 SNP LSC/trnQ-psbK CNS 7,609 A C A
5 InDel LSC/trnS-trnG CNS 8,635–8,636 A A
6 SNP LSC/trnG-intron CNS 9,309 G T G
7 SNP LSC/trnG-trnR CNS 9,834 T T A
8 InDel LSC/rps2-rpoC2 CNS 15,742–15,743 A
9 SNP LSC/rpoB-trnC CNS 26,855 C C A
10 InDel LSC/ rpoB-trnC CNS 26,942 A
11 SNP LSC/trnC-petN CNS 27,715 G T G
12 SNP LSC/trnE-trnT CNS 31,611 A T A
13 SNP LSC/trnT-psbD CNS 32,314 A T A
14 SNP LSC/trnT-psbD CNS 32,709 T A A
15 SNP LSC/trnT-psbD CNS 33,453 C A C
17 InDel LSC/ycf3-trnS CNS 45,458 T T
18 InDel LSC/ycf3-trnS CNS 46,152–46,153 T
19 SNP LSC/trnT-trnL CNS 47,869 C A C
20 SNP LSC/trnT-trnL CNS 48,096 A C A
21 SNP LSC/trnT-trnL CNS 48,097 G T T
22 SNP LSC/trnL-trnF CNS 49,580 T C T
23 SNP LSC/trnF-ndhJ CNS 50,344–50,348 AAAAG AAAAG CTTTT
24 SNP LSC/trnV-intron CNS 53,230 C A C
26 InDel LSC/psaI-ycf4 CNS 60,623 T
27 InDel LSC/petA-psbJ CNS 64,224 G G
28 InDel LSC/ petA-psbJ CNS 64,355–64,356 T
29 InDel LSC/psbE-petL CNS 66,485 A
30 SNP LSC/trnP-psaJ CNS 67,723 C C T
31 InDel LSC/trnP-psaJ CNS 67,834–67,835 TAGTAA
32 SNP LSC/psaJ-rpl33 CNS 68,408 A A T
33 InDel LSC/rps18-rpl20 CNS 69,490 A A
34 InDel LSC/ rps18-rpl20 CNS 69,491 A
35 SNP LSC/rpl20-rps12 CNS 70,254 A G G
36 SNP LSC/rpl20-rps12 CNS 70,519 A A T
37 InDel LSC/rps12-clpP CNS 70,966–70,967 T
38 SNP LSC/rps12-clpP CNS 70,999 G G T
39 InDel LSC/clpP-intron CNS 71,668–71,669 T
40 SNP LSC/clpP-intron CNS 71,681 C A C
41 SNP LSC/clpP-intron CNS 72,808 T C T
42 InDel LSC/psbT-psbN CNS 75,456–75,457 CATTATCTC AATTGAAAGT
43 SNP LSC/petD-intron CNS 78,077 G A G
44 SNP LSC/rpl36-rps8 CNS 80,856 C G C
45 InDel LSC/rpl14-rpl16 CNS 82,300 T
46 SNP LSC/rpl16-intron CNS 82,928 G T T
47 SNP LSC/rpl16-intron CNS 83,676 T T C
48 SNP IR/rps12-trnV CNS 100,249 C A C
49 SNP IR/rrn5-trnR CNS 109,248 G T G
50 SNP IR/trnN-ycf1 (short) CNS 110,162 A G A
51 SNP SSC/ndhF-rpl32 CNS 113,838 T A T
52 SNP SSC/rpl32-trnL CNS 114,675 T T A
53 SNP SSC/ndhD-psaC CNS 118,166 C A C
54 InDel SSC/psaC-ndhE CNS 118,599–118,600 A
55 SNP SSC/ndhA-intron CNS 122,406 C A C
56 SNP LSC/accD Gene 58,891 C T C
57 SNP SSC/ndhF Gene 113,349 A G A
58 SNP SSC/ndhH Gene 123,504 T C T
59 SNP LSC/petB Gene 77,457 G G T
60 SNP LSC/psbA Gene 676 A A G
61 SNP LSC/rpoB Gene 25,334 T G G
62 SNP LSC/rps8 Gene 81,522 T T C
63 SNP SSC/ycf1 Gene 125,275 G T G
64 SNP SSC/ycf1 Gene 128,610 G C G
65 SNP SSC/ycf1 Gene 129,102 G G T
66 SNP SSC/ycf1 Gene 129,303 C A C
67 SNP LSC/ycf4 Gene 61,151 G A A
DOI: 10.7717/peerj.3919/table-5


CNS, Non-coding sequences which containing intergenic spacer region and introns.
Nucleotide position is referenced to the chloroplast genome of F. × ananassa ‘Benihoppe’.

In total, 35 SNPs (26 transversions and 9 transitions) were identified between the complete F. × ananassa ‘Benihoppe’ and F. chiloensis (GP33) chloroplast genomes, which were found in all types of regions (23 in LSC, 9 in SSC and 3 in IR regions). Two SNPs in the rpoB and ndhF genes represent synonymous changes, whereas the other six SNPs in four other genes (accD, ndhH, ycf1 and ycf4) are nonsynonymous and may alter the encoded protein’s primary structure. Overall, 18 InDels between 1 and 19 bp in length were found, including 15 within LSC regions. In contrast, 23 SNPs (17 transversions and 6 transitions) were identified between the F. × ananassa ‘Benihoppe’ and F. virginiana (O477) chloroplast genomes, among which 21 are located in LSC and 2 in SSC regions, while none were found in IR regions. Three nonsynonymous SNPs were found in the petB, ycf1 and ycf4 genes, while three synonymous SNPs were found in rps8, rpoB, and psbA. Eight InDels were observed (5 insertions and 3 deletions), all but one of which is located within the LSC region.

Regardless of location or subspecies, all F. virginiana individuals share the same SNPs in two genes, petD (G) and ndhF (A), differing from F. chiloensis at these positions (petD: A; ndhF: (G) (Salamone et al., 2013). Furthermore, Honjo et al. (2009) examined two non-coding regions and concluded that cultivar ‘Benihoppe’ exhibits haplotype V, which is consistent with its female parent Akihime. Based on our SNP analysis, two genes (petD and ndhF) and two non-coding regions (trnL-trnF and trnR-rrn5) are consistent with Fvirginiana and different from F. chiloensis. Our results are in accordance with previous studies (Salamone et al., 2013; Honjo et al., 2009) and indicate that the sequence identity between F. × ananassa ‘Benihoppe’ and F. virginiana (O477) at the chloroplast level is higher than between F. × ananassa ‘Benihoppe’ and F. chiloensis (GP33).

Percentage of variable sites and number of parsimony-informative sites in non-coding regions across the ten Fragaria chloroplast genomes.

Figure 5: Percentage of variable sites and number of parsimony-informative sites in non-coding regions across the ten Fragaria chloroplast genomes.

cpDNA markers and sequence polymorphisms in Fragaria

Non-coding regions (introns and intergenic spacers), harboring more sequence divergence, are not subject to the functional constraints that could extend the utility of a molecule at lower taxonomic levels (Small et al., 1998; Shaw et al., 2007). At least six non-coding regions of cpDNA were previously examined in phylogenetic and ancestry studies of Fragaria. Universal primers targeting the trnL-trnF region (Taberlet et al., 1991) were used in previous studies to investigate 14 species of Fragaria (Potter, Luby & Harrison, 2000) and 8 diploid species from this genus (Sargent, 2005). The trnT-trnL, atpB-rbcL, psbA-trnH, psbJ-psbF and rps18-rpl20 regions have also been employed to detect sequence polymorphisms in Fragaria (Sargent, 2005; Lin & Davis, 2000). However, due to the small group of taxa sampled or a low level of sequence variation in these regions, the phylogenetic resolution within Fragaria has been limited (Rousseau-Gueutin et al., 2009).

To examine which regions might be applied for Fragaria phylogenetic analysis, all of the non-coding regions among ten Fragaria chloroplast genomes were aligned, and sequence divergence was calculated (Fig. 5). The results showed that ndhE-ndhG exhibits the highest rate of variation (7%), while atpF-atpH and trnT-psbD exhibit the most PIS. However, only the 6 intergenic regions (trnK-matK, trnS-trnG, atpF-atpH, trnC-petN, trnT-psbD, and trnP-psaJ) display a percentage of variable sites higher than 1% and more than five PIS (Fig. 5), indicating the low variation of chloroplast genomes in Fragaria. Interestingly, these intergenic regions are all located in the LSC region, whose sequence has been noted to be less conserved in those of IR and SSC regions and has consequently been used for phylogenetic analysis at low taxonomic levels (Njuguna, 2010).

To examine the phylogenetic applications of the six fast-evolving DNA regions, an MP tree was constructed for each molecular marker from the ten Fragaria species (File S6). The results revealed that none of each region was efficient in resolving the relationships among the examined samples. However, the combined regions strongly supported Fiinumae (fc199s5) and F. pentaphylla (KY434061) had the closest phylogenetic relationship. Furthermore, our results showed F. vesca ssp. vesca (Hawaii 4) was closer to F. vesca ssp. bracteata (LNF40), which was similar to Govindarajulu et al. (2015). The STEMhy and PhyloNet results showed a greater contribution of F. iinumae than F. vesca to the ancestry of the octoploids (Kamneva et al., 2017). Vining et al. (2017) used POLIMAPS to resolve F. × ananassa chromosomal regions derived from diploid ancestor F. vesca. Our results couldn’t infer which one was the ancestor of F. × ananassa ‘Benihoppe’ (KY358226) at present. Further studies with a broad sampling scheme need to be conducted to test the efficiency of these six identified regions in phylogenetic analysis of Fragaria.


This study provides the first report of the complete chloroplast genome sequence of F. × ananassa ‘Benihoppe’. Comparison with nine Rosaceae species revealed higher sequence variation in SC regions compared with IR regions in both coding and non-coding regions, and the gene order, gene content and genome structure were found to be similar to those of other sequenced Fragaria species, especially F. virginiana (O477) and Fchiloensis (GP33), demonstrating low variation among Fragaria chloroplast genomes. However, IR contraction is observed in F. × ananassa ‘Benihoppe’, and several SNPs and InDels identified among three octoploid strawberries can be utilized for diversity analyses. Six non-coding regions (trnK-matK, trnS-trnG, atpF-atpH, trnC-petN, trnT-psbD and trnP-psaJ) may be useful for phylogenetic analysis of the genus Fragaria. The chloroplast genome of F. × ananassa ‘Benihoppe’ may also provide important information for research related to the chloroplast transgenic engineering of cultivated strawberry.

Supplemental Information

Primers used for junctions between SC and IR regions

DOI: 10.7717/peerj.3919/supp-1

Locations of intron-containing genes in the F.× ananassa ‘Benihoppe’ chloroplast genome and the lengths of exons and introns

DOI: 10.7717/peerj.3919/supp-2

Codon usage and RSCU analysis of the F. × ananassa ‘Benihoppe’ chloroplast genome

DOI: 10.7717/peerj.3919/supp-3

Repeat structures in the F. ×  ananassa ‘Benihoppe’ chloroplast genome

DOI: 10.7717/peerj.3919/supp-4

Synonymous (Ks) and nonsynonymous (Ka) substitution rates

DOI: 10.7717/peerj.3919/supp-5

Maximum parsimony (MP) trees of six non-coding regions in Fragaria species

The phylogram of ‘combined regions’ was constructed based on MP analysis using all six regions (trnK-matK, trnS-trnG, atpF-atpH, trnC-petN, trnT-psbD, and trnP-psaJ) together. Numbers above and below nodes are bootstrap support values ≥50%.

DOI: 10.7717/peerj.3919/supp-6

Sequences of the F. ×  ananassa cv. Benihoppe chloroplast genome

DOI: 10.7717/peerj.3919/supp-7