Back

Chloroplast genome assemblies and comparative analyses of major Vaccinium berry crops

Fahrenkrog, A. M.; Matsumoto, G.; Toth, K.; Jokipii-Lukkari, S.; Salo, H. M.; Haggman, H.; Benevenuto, J.; Munoz, P.

2022-02-25 plant biology
10.1101/2022.02.23.481500 bioRxiv
Show abstract

BackgroundVaccinium is an economically important genus of berry crops in the family Ericaceae. Given the numerous hybridizations and polyploidization events among Vaccinium species, the taxonomy of this genus has remained uncertain and the subject of long debate. Therefore, the availability of more genomic resources for Vaccinium can provide useful tools for phylogenetic resolution, species identification, authentication of berry food products, and a framework for genetic engineering. ResultsIn this study, we assembled five Vaccinium chloroplast sequences representing the following berry types: northern highbush blueberry (V. corymbosum), southern highbush blueberry (V. corymbosum hybrids), rabbiteye blueberry (V. virgatum), lowbush blueberry (V. angustifolium), and bilberry (V. myrtillus). Two complete plastid genomes were achieved using long-read PacBio sequencing, while three draft sequences were obtained using short-read Illumina sequencing. Comparative analyses also included other previously available Vaccinium chloroplast sequences, especially the commercially important species V. macrocarpon (cranberry). The Vaccinium chloroplast genomes exhibited a circular quadripartite structure, with an overall highly conserved synteny and sequence identity among them. Despite their high similarity, we identified some polymorphic regions in terms of expansion/contraction of inverted repeats, gene copy number variation, simple sequence repeats, and single nucleotide polymorphisms. Phylogenetic analysis revealed multiple origins of highbush blueberry plastomes, likely due to the hybridization events during northern and southern highbush blueberry domestication. ConclusionsOur results enrich the genomic data availability for new Vaccinium species by sequencing and assembling the chloroplast DNA of major economically important berry types. Additional whole plastome analyses including more samples and wild species will be useful to obtain a refined knowledge of the maternal breeding history of blueberries and increase phylogenetic resolution at low taxonomic levels.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 12%
15.2%
2
Plants
43 papers in training set
Top 0.1%
15.2%
3
BMC Genomics
406 papers in training set
Top 0.6%
7.3%
4
Frontiers in Plant Science
256 papers in training set
Top 1%
6.3%
5
Gigabyte
62 papers in training set
Top 0.1%
5.6%
6
BMC Plant Biology
57 papers in training set
Top 0.1%
5.5%
50% of probability mass above
7
Plant Methods
42 papers in training set
Top 0.2%
4.9%
8
Scientific Reports
3612 papers in training set
Top 38%
2.8%
9
Genes
144 papers in training set
Top 0.9%
2.8%
10
Scientific Data
209 papers in training set
Top 1%
2.1%
11
The Plant Journal
215 papers in training set
Top 2%
1.7%
12
Plant Biotechnology Journal
64 papers in training set
Top 0.7%
1.7%
13
G3 Genes|Genomes|Genetics
351 papers in training set
Top 3%
1.4%
14
GigaScience
212 papers in training set
Top 3%
1.1%
15
DNA Research
26 papers in training set
Top 0.3%
1.1%
16
Horticulture Research
47 papers in training set
Top 0.7%
1.1%
17
Microbiology Resource Announcements
25 papers in training set
Top 0.3%
1.1%
18
Plant Direct
95 papers in training set
Top 2%
1.1%
19
Frontiers in Genetics
230 papers in training set
Top 4%
1.1%
20
BMC Biology
265 papers in training set
Top 4%
1.0%
21
The Plant Genome
57 papers in training set
Top 0.8%
1.0%
22
Plant Science
31 papers in training set
Top 1.0%
0.9%
23
Plant Cell Reports
17 papers in training set
Top 0.6%
0.8%
24
BMC Research Notes
33 papers in training set
Top 1%
0.8%
25
International Journal of Molecular Sciences
494 papers in training set
Top 15%
0.8%
26
PeerJ
308 papers in training set
Top 13%
0.6%
27
G3: Genes, Genomes, Genetics
252 papers in training set
Top 5%
0.6%