Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Aug 25:8:1383.
doi: 10.3389/fpls.2017.01383. eCollection 2017.

Development and Application of Transcriptome-Derived Microsatellites in Actinidia eriantha (Actinidiaceae)

Affiliations

Development and Application of Transcriptome-Derived Microsatellites in Actinidia eriantha (Actinidiaceae)

Rui Guo et al. Front Plant Sci. .

Abstract

Actinidia eriantha Benth. is a diploid perennial woody vine native to China and is recognized as a valuable species for commercial kiwifruit improvement with high levels of ascorbic acid as well as having been used in traditional Chinese medicine. Due to the lack of genomic resources for the species, microsatellite markers for population genetics studies are scarce. In this study, RNASeq was conducted on fruit tissue of A. eriantha, yielding 5,678,129 reads with a total output of 3.41 Gb. De novo assembly yielded 69,783 non-redundant unigenes (41.3 Mb), of which 21,730 were annotated using protein databases. A total of 8,658 EST-SSR loci were identified in 7,495 unigene sequences, for which primer pairs were successfully designed for 3,842 loci (44.4%). Among these, 183 primer pairs were assayed for PCR amplification, yielding 69 with detectable polymorphism in A. eriantha. Additionally, 61 of the 69 polymorphic loci could be successfully amplified in at least one other Actinidia species. Of these, 14 polymorphic loci (mean NA = 6.07 ± 2.30) were randomly selected for assessing levels of genetic diversity and population structure within A. eriantha. Finally, a neighbor-joining tree and Bayesian clustering analysis showed distinct clustering into two groups (K = 2), agreeing with the geographical distributions of these populations. Overall, our results will facilitate further studies of genetic diversity within A. eriantha and will aid in discriminating outlier loci involved in local adaptation.

Keywords: Actinidia eriantha; EST-SSRs; high-throughput sequencing; population genetic structure; transcriptome.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Outline of the process of unigene annotation and EST-SSR development in Actinidia eriantha.
Figure 2
Figure 2
Distribution of unigene lengths resulting from de novo transcriptome assembly of fruits from Actinidia eriantha.
Figure 3
Figure 3
Gene Ontology classification of unigenes. Unigenes were assigned to three categories: cellular component, molecular function, and biological process.
Figure 4
Figure 4
KEGG pathway assignment using a reciprocal BLAST analysis with a E-value cutoff of 1e–5.
Figure 5
Figure 5
NJ tree and Bayesian clustering analysis results for 14 EST-SSRs of 186 individuals (7 populations) of Actinidia eriantha from South China and East China. (A) Histogram of the STRUCTURE analysis for the model with K = 2 (showing the highest delta K). Each individual is represented by a single vertical line. On the y-axes is the likelihood of assignment to each cluster. (B) Geographic origin of the seven populations and their color-coded grouping according to the STRUCTURE analysis. Population codes are identified in Table 1. (C) The neighbor joining tree of the seven populations with bootstrap values indicated in nodes with support (>50).

Similar articles

Cited by

References

    1. Aggarwal R. K., Hendre P. S., Varshney R. K., Bhat P. R., Krishnakumar V., Singh L. (2007). Identification, characterization and utilization of EST-derived genic microsatellite markers for genome analyses of coffee and related species. Theor. Appl. Genet. 114, 359–372. 10.1007/s00122-006-0440-x - DOI - PubMed
    1. Antao T., Lopes A., Lopes R. J., Beja-Pereira A., Luikart G. (2008). LOSITAN: a workbench to detect molecular adaptation based on a Fst-outlier method. BMC Bioinformatics 9:323. 10.1186/1471-2105-9-323 - DOI - PMC - PubMed
    1. Beaumont M. A., Nichols R. A. (1996). Evaluating loci for use in the genetic analysis of population structure. Proc. R. Soc. B Biol. Sci. 263, 1619–1626. 10.1098/rspb.1996.0237 - DOI
    1. Blair M. W., Hurtado N., Chavarro C. M., Muñoz-Torres M. C., Giraldo M. C., Pedraza F., et al. . (2011). Gene based SSR markers for common bean (Phaseolus vulgaris L.) derived from root and leaf tissue ESTs: an integration of the BMC series. BMC Plant Biol. 11:50. 10.1186/1471-2229-11-50 - DOI - PMC - PubMed
    1. Bolger A. M., Lohse M., Usadel B. (2014). Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120. 10.1093/bioinformatics/btu170 - DOI - PMC - PubMed