SNP-based analysis reveals high genetic structure and diversity in umbu tree (Spondias tuberosa Arruda), a native and endemic species of the Caatinga biome

Author:

Nascimento Wellington Ferreira do1,Costa Flaviane Malaquias Malaquias2,Alves-Pereira Alessandro3,Batista Carlos Eduardo de Araújo2,de Carvalho Igor Araújo Santos2,Garcia Caroline Bertocco2,Silva Allison Vieira da2,Silva Edson Ferreira da4,Dias Márcia Maria de Souza Gondim5,Pereira Fábio Rodrigo Araújo6,Zucchi Maria Imaculada7,Veasey Elizabeth Ann2

Affiliation:

1. Federal University of Maranhão

2. "Luiz de Queiroz" College of Agriculture, University of São Paulo

3. Federal University of Amazonas

4. Federal Rural University of Pernambuco

5. Federal University of Campina Grande

6. Federal Institute of Pernambuco

7. Paulista Agency of Agrobusiness Technology

Abstract

Abstract

Umbu (Spondias tuberosa Arruda) is an endemic fruit tree restricted to the Brazilian seasonally dry tropical forest called Caatinga. This study aimed to evaluate the structure and genomic diversity of umbu trees from seven locations in the Caatinga biome, distributed among four Brazilian states. Using genotyping-by-sequencing (GBS), a total of 5,336 SNPs were obtained, of which 250 showed outlier behavior. Therefore, 5,086 neutral SNPs were used for population structure and genetic diversity analyses. Both discriminant analysis of principal components (DAPC) and neighbor-joining cluster analyses classified the accessions into four groups, with a genetic structure observed among groups, disagreeing with our initial hypothesis of low genetic structure between locations. Isolation by distance (r2 = 0.974; p = 0.0015) was detected. Moderate to high levels of genetic diversity were found, with the average observed heterozygosity (HO = 0.221) higher than the expected heterozygosity (HE = 0.199) and with negative inbreeding coefficient (FIS) values. Most genetic variation was found within locations, although high diversity between locations (22.1%) was observed. The results obtained are important for understanding the levels and distribution of genetic variation, suggesting that most locations are priorities for conservation actions, contributing with different alleles to the species' gene pool in Brazil.

Publisher

Research Square Platform LLC

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