Bioinformatics a Tool for Biosystematics Studies of Lagenaria siceraria (Mol.) Standl. Complex

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DOI: 10.4236/ajps.2019.1010123    507 Downloads   1,226 Views  

ABSTRACT

Bioinformatics has been a major tool in the revolution of plant systematics in recent times. The diversity of fruit shapes in Lagenaria siceraria (Mol.) standl. species has been of great concern because of its fruit complexity. This study is based on the application of rubisco enzyme using rbcL marker because of its conservativeness and its ability to discriminate below the specific level hence its usage to sequence the chloroplast genome with ABI, PRISM 377 DNA sequencer. The sequences obtained were viewed using MEGA X software and subsequently subjected to validation through National Center for Biotechnology Information (NCBI) using Nucleotide Basic Local Alignment Search Tool (BLAST N). The result obtained showed that all the sequences belong to Lagenaria siceraria (Mol.) standl. with percentages ranging from 95% to 100% for query cover sequences and 98% to 100% for identity sequences. From the taxonomic report obtained sequence A, C, G, H, J, Q has the highest hits of 44 on Lagenaria siceraria out of 109 total value, sequence O and R has the highest hits of 44 on Lagenaria siceraria out of the total value of 111, sequence V has the highest hits of 44 on Lagenaria siceraria out of 119 total value and sequence X finally has the highest value hits of 44 on Lagenaria sceriania out of 105 total value, based on this report, phylogenetic tree was constructed to show the level of relatedness of the different fruit diversity of L. siceraria complex. This work therefore has aided in the molecular characterization of Lagenaria siceraria (Mol.) standl. landraces found in Nigeria.

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Awala, F. , Ndukwu, B. and Agbagwa, I. (2019) Bioinformatics a Tool for Biosystematics Studies of Lagenaria siceraria (Mol.) Standl. Complex. American Journal of Plant Sciences, 10, 1729-1748. doi: 10.4236/ajps.2019.1010123.
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