Relationship between fruit phenotypes and domestication in hexaploid populations of biribá (Annona mucosa) in Brazilian Amazonia

PeerJ. 2023 Jan 23:11:e14659. doi: 10.7717/peerj.14659. eCollection 2023.

Abstract

Background: Biribá (Annona mucosa Jacq.) is a fruit tree domesticated in Amazonia and has polyploid populations. The species presents ample phenotypic variation in fruit characteristics, including weight (100-4,000 g) and differences in carpel protrusions. Two cytotypes are recorded in the literature (2n = 28, 42) and genome size records are divergent (2C = 4.77, 5.42 and 6.00 pg). To decipher the role of polyploidy in the domestication of A. mucosa, we examined the relationships among phenotypic variation, chromosome number and genome size, and which came first, polyploidization or domestication.

Methodology: We performed chromosome counts of A. mucosa from central and western Brazilian Amazonia, and estimated genome size by flow cytometry. We performed phylogenetic reconstruction with publicly available data using a Bayesian framework, time divergence analysis and reconstructed the ancestral chromosome number for the genus Annona and for A. mucosa.

Results: We observed that variation in fruit phenotypes is not associated with variation in chromosome number and genome size. The most recent common ancestor of A. mucosa is inferred to be polyploid and diverged before domestication.

Conclusions: We conclude that, when domesticated, A. mucosa was already polyploid and we suggest that human selection is the main evolutionary force behind fruit size and fruit morphological variation in Annona mucosa.

Keywords: Amazonia; Biribá (Annona mucosa); Chromosome evolution; Domestication; Genome size; Polyploidy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Annona* / genetics
  • Bayes Theorem
  • Brazil
  • Domestication
  • Fruit / genetics
  • Genome, Plant
  • Humans
  • Phenotype
  • Phylogeny
  • Polyploidy

Grants and funding

This work was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq Universal; Process: 435985/2018-3) and the Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM; Process: 062.00148/2020). This work was supported by Instituto Tecnológico Vale (Belem, PA, Brazil) for the flow cytometry analyses and for financial support for publication. Giulia Melilli Serbin Master’s scholarship was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES; Process: 88882.444398/2019-01); Bruno Amorim postdoctoral fellowship by CAPES (Process: 88882.315044/2019-01); Charles Clement research fellowship by CNPq (Process: 303477/2018-0). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.