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Abstract Detail

Population Genetics/Genomics

Arbizu, Carlos [1], Ferro-Mauricio, Rubén [1], Chávez-Galarza, Julio [1], Guerrero-Abad, Juan [1], Vásquez, Héctor [1], Maicelo, Jorge [1].

The complete chloroplast genome of the national tree of Peru, quina (Cinchona officinalis., Rubiaceae).

The Andean region of South America is considered a hotspot of multiple endemic plant species that warrant further research. Genus Cinchona is a member of the Rubiaceae family known for its medicinal properties as a source of quinine alkaloids that are effective against malaria. Among the 23 species within this genus, C. officinalis is known as “quina tree” and represents the national tree of Peru. To date, even though NGS techniques are widely used worldwide to decipher genomes, little is known about quina tree genome characterization. Here, we report the first complete chloroplast genome of Cinchona officinalis. Genomic DNA of a sample from Cajamarca region was extracted by CTAB method, whose quantity and quality were evaluated for sequencing. A DNA library was constructed and sequenced, and paired-end 150 bp reads were generated using Illumina platform. Adapters and low-quality reads were removed. Then, we assembled the reads and obtained a chloroplast genome of 156,984 bp in length with typical quadripartite structure, containing a large single copy (LSC )region (83,930 bp) and an 18,052 bp small single-copy (SSC) region, separated by two inverted repeat (IR) regions (27,501 bp). The total GC content was 37.75%. Quina tree chloroplast genome was annotated and revealed 37 tRNA, 8 rRNA, and 118 CDS. Phylogenetic analysis showed that C. officinalis is sister to C. pubescens and sister to them is Isertia laevis, all belonging to the Cinchonoideae tribe. Our next step is to continue developing molecular tools for this Peruvian national tree, promoting its adequate sustainable management, conservation and breeding.

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1 - Instituto Nacional de Innovación Agraria, Av. La Molina 1981, Lima, Lima, 15024, Perú


Presentation Type: Oral Paper
Session: PGG4, Population Genetics and Genomics IV
Location: /
Date: Wednesday, July 21st, 2021
Time: 4:45 PM(EDT)
Number: PGG4008
Abstract ID:904
Candidate for Awards:None

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