José Dias de Souza Neto1 , Nicole Moreira Veto1 ; Frank Lino Guzman3 ; Franceli Rodrigues Kulcheski4 ; Fabiano Salgueiro5 , Rogerio Margis 1.2,3 , Drielli Canal1, Andreia Carina Turchetto-Zolet1

1. Comparative transcriptome analysis of Eugenia uniflora L.
(Myrtaceae) shed light on its evolutionary adaptation in
heterogeneous environments
José Dias de Souza Neto1
, Nicole Moreira Veto1
; Frank Lino Guzman3
; Franceli
Rodrigues Kulcheski4
; Fabiano Salgueiro5
, Rogerio Margis 1.2,3
, Drielli Canal1
, Andreia
Carina Turchetto-Zolet1
1-Federal University of Rio Grande do Sul (UFRGS),Brazil. 2-Federal University of Santa Catarina (UFSC),Brazil. 3-Federal University
of Rio de Janeiro State (UNIRIO), Rio de Janeiro, Brazil
2020
GENP

2. Introduction
Use of genomic data for identification of loci responsible
for associated with local adaptations.
Model: Eugenia uniflora L. (Myrtaceae).
Why? A: Growing in distinct environments; Have
divergent lineages correlated with geographic distribution in
distinct environment for this species (Map beside).
So...
To performed comparative transcriptome analysis
among individuals of E. uniflora from distinct environments
to identify genes potentially involved in local adaptation in
this species.

3. Methodology
RFCRECRFRE
RNA isolation
Library preparing
and sequencing
Bioinformatic Analysis
SNPs discovery
bcftools - Samtools
Results
EugeniaunifloraL.
Treatments
Natural Control

4. Results
Stats+ k21 k25 k31 Merge
Number of transcripts: 230.921 263.606 251.956 278.838
Median transcript length: 546 449 468 516
Mean transcript length: 951 784 813 886
Max transcript length: 13.552 13.53 12.342 13.552
No. transcript > 1kbp: 74.719 65.382 66.716 82.381
N50: 1.704 1.335 1.404 1.548
Tabel 1: Summary statistical for quality of reads in library genomic in samples of E.
uniflora.
Fig.1: Diagram Venn of transcripts identified in samples of
(RExRF) and control (RECxRFC) conditions. of E. uniflora.
RExRF RECxRFC
Fig.2: Numbers e classes of transcripts up and down regulates
associate with abiotic stress in natural populations of E. uniflora.

5. Discussion
● Assemble: k-mers 21 and N50 - transcripts (Guzman et al, 2014).
● Same genes in others studies (Xu et al., 2020; Duque P. 2011)
Conclusion
● We identified 100 transcripts up and down regulated in both
conditions.
● Some transcripts up regulated were associated with different genes
expressed in abiotic stress.
● Future: To use SNP markers identified in evolutive analysis.
Support: