Skip to main content
Log in

Plastome comparison reveals hotspots of nucleotide diversity and positive selection pressure on accD, matK, psaA and rbcL genes in Smilacaceae

  • Genetics & Evolutionary Biology - Original Article
  • Published:
Brazilian Journal of Botany Aims and scope Submit manuscript

Abstract

The genus Smilax (Smilacaceae), commonly known as Sarsaparilla, comprises about 262 species with numerous medicinal and economic importance. Due to considerable morphological similarity, Smilax has been recognized as a taxonomically challenging group. In this study, we conducted a comprehensive analysis of the genomic architecture and nucleotide variation within the genus Smilax, comparing the newly sequenced plastome of Smilax zeylanica with ten other plastomes. Our analyses revealed a highly conserved gene structure, order, and orientation across the plastomes studied. Nonetheless, we identified eight highly divergent regions, namely rbcL-accD, petA-psbJ, psaJ-rpl33, ndhC-trnV UAC, accD-psaI, ndhF-rpl32, trnK UUU, and rps16-trnQ UUG. These highly diverse DNA regions could potentially be used as DNA super-barcodes for the precise identification of Smilax species. Furthermore, our study identified four positively selected genes—accD, matK, psaA, and rbcL. We also observed the loss of infA and pseudogenization of ycf15 and ycf68 genes within Smilacaceae. Additionally, the prediction of RNA editing sites revealed a high level of conservation across the genus Smilax. These findings provide valuable insights into adaptation, evolutionary dynamics, marker development, and barcode validation in Smilax, ultimately enhancing its therapeutic applications.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data availability

All data generated or analysed during the current study are included in this published article, NCBI repository (Accession No. OL701493) [and its supplementary information files].

References

Download references

Acknowledgements

The authors thank the Director of Agharkar Research Institute for encouragement and facilities. Financial support received from Science and Engineering Research Board-Department of Science and Technology (SERB-DST) vide Project no. CRG/2020/000910 to carry out this research is duly acknowledged. Partial support received by the Department of Science & Technology, New Delhi, to GS via Inspire fellowship vide ref. no. IF210309 is also acknowledged. We also thank Prof. M. M. Sardesai and Dr. M.N. Datar for their help in the sample collection.

Funding

This work was supported by the Science and Engineering Research Board-Department of Science and Technology (SERB-DST) vide Project no. CRG/2020/000910. Partial support was received from the Department of Science & Technology, New Delhi, to GS via Inspire fellowship vide ref. no. IF210309.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study's conception and design. GS and SM curated the data and performed the analysis. GS drafted the initial manuscript. RKC and SM reviewed and revised the manuscript. RKC acquired funding for this research. All authors read and approved the final manuscript as submitted.

Corresponding author

Correspondence to Ritesh Kumar Choudhary.

Ethics declarations

Competing interests

The authors have no competing interests to declare that are relevant to the content of this article.

Compliance with ethical standards

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Publisher's Note

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

Supplementary Information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sukhramani, G., Maurya, S. & Choudhary, R.K. Plastome comparison reveals hotspots of nucleotide diversity and positive selection pressure on accD, matK, psaA and rbcL genes in Smilacaceae. Braz. J. Bot 47, 145–161 (2024). https://doi.org/10.1007/s40415-023-00973-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40415-023-00973-x

Keywords

Navigation