Heterogenous Data Analysis of Trentepohlia; A Meta-Analysis

Authors

  • Merin Ann Ninan Department of Botony, Catholicate College, Pathanamthitta, Kerala.
  • Merin Grace Jiji Department of Botony, Catholicate College, Pathanamthitta, Kerala.
  • Binoy T Thomas Department of Botony, Catholicate College, Pathanamthitta, Kerala.
  • Thomas V. P. Department of Botony, Catholicate College, Pathanamthitta, Kerala.

Keywords:

Trentepohlia, Bayesian Analysis, Phylogenetic analysis, Mr.Bayes software, Combined analysis. Abbreviation- rbcl- Ribulose 1,5 bisphosphate carboxylase/oxygenase, 18S rRNA- 18S Ribosomal RNA

Abstract

The Trentepohlia, corticolous filamentous green algae of Trentepohliaceae family survive under varying climatic conditions. Usually, species varies in the rate of changes of the character states. The changes of the character states cause homoplasy. A high rate of homoplasy relative to synapomorphy causes phylogenetic algorithms to group species incorrectly. So, the morphological and molecular data independently have produced highly conflicting results due to homoplasy which result from evolution. Such inconsistencies in the data have ratified with the buildout of robust statistical software programme, Mr. Bayes. This programme has stochastic models for Bayesian inference that has enabled combining morphological and molecular data, and both data set contribute to the result of the combined analysis. In this paper we generate a Maximum likelihood phylogenetic reconstruction of the genus Trentepohlia based on molecular markers and morphological characters.

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Published

2024-05-08

How to Cite

Ninan, M. A., Jiji, M. G., Thomas, B. T., & V. P., T. (2024). Heterogenous Data Analysis of Trentepohlia; A Meta-Analysis. Chetana: An Ivanian Journal for Scientific Research, 1(1), 11–14. Retrieved from https://marivanioscollegejournals.com/index.php/chetana/article/view/39

Issue

Volume 1, Issue 1, January 2024

Section

Articles

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