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Abstract Detail

Population Genetics/Genomics

Saldaña, Carla L. [1], Cancan, Johan D. [1], Cruz, Wilbert [1], Correa, Mirian Y. [2], Ramos, Miriam [3], Cuellar, Eloy [4], Arbizu, Carlos [1].

Genetic diversity and population structure of capirona (Calycophyllum spruceanum Benth.) from the Peruvian Amazon assessed by RAPD markers.

Capirona (Calycophyllum spruceanum Benth) is a tree species of commercial importance widely distributed in South American forests and is traditionally used for its medicinal properties and wood quality. Studies on this tree species have been focused mainly on wood properties, propagation and growth. Genetic studies on capirona are very limited to date. Today it is possible to explore genetic diversity and population structure in a fast and reliable manner by using molecular markers, aiming at providing subsidies to the collection and conservation programs of this species. We here used 10 Random Amplified Polymorphic DNAs (RAPDs) markers to analyze genetic diversity and population structure of 59 accessions that were sampled from four provinces located in the eastern region of the Peruvian amazon. A total of 186 bands were manually scored, generating a 59 x 186 presence/absence matrix. We used R software to calculate genetic distances based on provesti coefficient. A dendrogram was generated using the UPGMA clustering algorithm and showed four groups that correspond to the geographic origin of the capirona accessions. Similarly, a principal coordinate analysis (PCoA) confirmed that capirona is grouped into four clusters. However, we also noticed few accessions are intermingled. Genetic diversity estimation was conducted considering the four groups (populations) identified by adegenet package in R. Nei's genetic diversity estimate varied from 0.26 to 0.39 and Shannon index ranged from 2.48 to 2.83. AMOVA analysis revealed the greatest variation exist within populations (69.7%) and indicated that variability among accessions populations is 31.5%. To our knowledge, this is the first investigation employing molecular markers in capirona in Perú, and sheds light towards its genetic improvement program and for the sustainable management of forests in Perú. Our next step is to develop extra molecular tools for this and other tree species by using NGS techniques and collaborating with other researchers worldwide.

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1 - Instituto Nacional de Innovación Agraria, Dirección de Desarrollo Tecnológico Agrario, Av. La Molina 1981, Lima, Lima, 15024, Peru
2 - Universidad Nacional Pedro Ruíz Gallo, Facultad de Ciencias Biológicas, Juan XXIII No 391, Lambayeque, Peru
3 - Universidad Nacional Agraria La Molina, Facultad de Ciencias Forestales, Av. La Molina s/n, Lima, Lima, 15024, Peru
4 - Universidad Nacional Agraria La Molina, Av. La Molina s/n, La Molina, Lima, Lima, 15024, Peru

Amazon Forest
molecular markers
genetic diversity
genetic structure.

Presentation Type: Poster
Session: P3, Population Genetics/Genomics Posters
Location: Virtual/Virtual
Date: Wednesday, July 21st, 2021
Time: 5:00 PM(EDT)
Number: P3PG004
Abstract ID:944
Candidate for Awards:Phytochemical Best Poster Award

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