1023
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
Spondias mombin (Anarcadiaceae):
molecular characterization and conservation
Kelli Évelin Müller Zortéa
1
*
,2,3
; https://orcid.org/0000-0003-0545-6130
Ana Aparecida Bandini Rossi
1,2,3
; https://orcid.org/0000-0002-8318-5375
Auana Vicente Tiago
1,3
; https://orcid.org/0000-0001-9556-9491
Elisa dos Santos Cardoso
1,3
; https://orcid.org/0000-0001-9477-1743
Joyce Mendes Andrade Pinto
4
; https://orcid.org/0000-0002-9484-1868
Eulalia Soler Sobreira Hoogerheide
4
; https://orcid.org/0000-0003-0944-3898
1. Programa de Pós-Graduação em Biodiversidade e Biotecnologia (Rede Bionorte), Universidade do Estado de
Mato Grosso - Carlos Alberto Reyes Maldonado, Alta Floresta, Mato Grosso, Brasil; kellimullerz@gmail.com
(Correspondence*), anabanrossi@unemat.br, auanavt@gmail.com, elisabyo@gmail.com
2. Programa de Pós-Graduação em Genética e Melhoramento de Plantas, Universidade do Estado de Mato Grosso -
Carlos Alberto Reyes Maldonado, Alta Floresta, Mato Grosso, Brasil.
3. Laboratório de Genética Vegetal e Biologia Molecular, Universidade do Estado de Mato Grosso - Carlos Alberto
Reyes Maldonado, Alta Floresta, Mato Grosso, Brasil.
4. Embrapa Agrossilvipastoril, Sinop, Mato Grosso, Brasil; joyce.andrade@embrapa.br,
eulalia.hoogerheide@embrapa.br
Received 12-II-2021. Corrected 10-VII-2021. Accepted 01-IX-2021.
ABSTRACT
Introduction: The fruit of the yellow mombin (Spondias mombin L.) is notable due to its sensory and functional
qualities. However, there is little knowledge regarding the genetic diversity of this species, and this would aid the
implantation of the cultivation of the fruit as a crop, since current production is based on extractivism.
Objective: Evaluate the diversity and genetic structure of natural populations of S. mombin in the state of Mato
Grosso, Brazil, through microsatellite molecular markers in order to assist in the implementation of conservation
strategies and the collection of genetic resources.
Methods: A total of 139 S. mombin individuals were sampled in ten natural populations. PCR amplifications
were performed with seven fluorescence-marked microsatellite primers. Genetic diversity was evaluated by the
number of alleles, expected (He) and observed heterozygosity (Ho), polymorphic information content (PIC),
fixation index (ƒ), rare and exclusive alleles. The genetic structure was evaluated using AMOVA, UPGMA
dendrogram and Bayesian statistical analysis.
Results: 46 alleles were amplified, which had an average of 6.6 alleles per locus. He was higher than Ho and
f was positive, indicating the presence of inbreeding. The PIC ranged from 0.048 to 0.700, and only two loci
were poorly informative. We found 27 rare alleles and 16 unique alleles. The largest component of variation was
intrapopulational (90.64 %). The estimated gene flow was 1.99, which indicates that there is no genetic isolation
between populations, and justifies the F
ST
value (0.0963). The ten populations were grouped into two groups,
and two populations constituted an isolated group. The Mantel test demonstrated that the genetic structure is not
related to the geographic distance between populations.
Conclusion: There is genetic diversity in the populations of S. mombin, which must be conserved in situ or
ex situ, due to the diversity they present and because they are promising sources for collection of germplasm.
Key words: conservation; genetic resources; genetic variability; microsatellite; yellow mombin.
Müller Zortéa, K. E., Bandini Rossi, A. A., Vicente Tiago,
A., dos Santos Cardoso, E., Mendes Andrade Pinto,
J., & Soler Sobreira Hoogerheide, E. (2021). Spondias
mombin (Anarcadiaceae): molecular characterization and
conservation. Revista de Biología Tropical, 69(3), 1023-
1036. https://doi.org/10.15517/rbt.v69i3.45810
https://doi.org/10.15517/rbt.v69i3.45810
1024
Revista de Biología Tropical, ISSN: 2215-2075 Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
Brazil has a high potential for the produc-
tion of numerous varieties of fruits due to its
territorial extension, varied types of soils, and
climatic conditions (Carvalho et al., 2017).
It also has a great diversity of native fruits,
many of them still unknown or little exploited
commercially, but that have increasing market
value, among which is the yellow mombin
(Spondias mombin L.) (Freitas & Mattietto,
2013). This tree species belongs to the family
Anacardiaceae and its fruit stands out for its
sensory and functional qualities (Pinto et al.,
2003). In addition, the fruit has high levels of
carotenoids, tannins and phenolic compounds,
and is considered a natural source of antioxi-
dants (Freitas & Mattietto, 2013; Mattietto et
al., 2010). S. mombin is among the Brazilian
species that has the greatest economic poten-
tial (Lederman et al., 2008); however, it is in
a domestication phase, and information that
would assist in the deployment of viable com-
mercial orchards is scarce (Souza et al., 2006).
The type of exploitation, the lack of commer-
cial crops and the high loss of fruits during
harvest and transport cause annual variations
in the harvests, which directly influence its
industrialization and functioning of the fruit
processing industries (Santana, 2010).
The domestication and incorporation of
native species into productive systems require
information on genetic variation and knowl-
edge of the size and distribution of genetic
variability in natural populations (Costa et al.,
2011). In addition, knowledge of the genetic
structure of populations and their levels of
genetic diversity are important in order to
understand how selection acts as a function of
adaptability and how the effects of environ-
mental fragmentation may influence population
dynamics, thus helping to guide more efficient
breeding and conservation programs (Estopa et
al., 2006; Sujii et al., 2015).
Genetic diversity can be verified through
morphological, agronomic, molecular charac-
teristics, among others (Dardengo et al., 2021;
Giles et al., 2018; Giustina et al., 2017; Santos
et al., 2020). However, molecular techniques
make it possible to accelerate the process of
analysis of variability and selection especially
when working with perennial species, since
they do not require the plant to complete its
reproductive cycle, do not suffer interference
from the environment and, in addition, have
high efficiency for material discrimination
(Ferreira & Grattapaglia, 1998).
Recently, some studies have contributed
to the characterization of the Spondias genus
through molecular phylogeny (Silva et al.,
2015; Machado et al., 2015), and much infor-
mation is now available in GenBank. For S.
mombin, the assembly of the complete chloro-
plast genome (Santos & Almeida, 2019) and its
mitochondria (Martins et al., 2019) has already
been obtained. The genetic diversity of S. mom-
bin has been evaluated by means of isoenzymes
(Gois et al., 2009), morphological traits of the
fruits (Silva et al., 2017a), molecular markers,
RAPD (Lima et al., 2011) and ISSR (Silva et
al., 2017b). However, no studies are available
regarding the diversity and genetic structure
based on microsatellite molecular markers.
Microsatellites are one of the most poly-
morphic classes of molecular markers available
today and have advantages over other markers
based on PCR (polymerase chain reaction)
because they are codominant, highly reproduc-
ible, require small amounts of DNA, and have
high resolution power and high levels of poly-
morphism (Caixeta et al., 2016). The greatest
limitation to the use of this type of marker is the
lack of initiators available for all species, since
the marker is specific (Arnold et al., 2002) as
well as the great amount of work required for
the development and isolation of loci contain-
ing these markers (Zane et al., 2002). How-
ever, the flanking regions of microsatellites are
generally conserved between nearby species
or genera (Arnold et al., 2002; Caixeta et al.,
2016), thus enabling the transferability of these
markers between some species. Aguilar-Barajas
et al. (2014) were able to select 14 polymorphic
microsatellites for Spondias radlkoferi Donn.
Sm., of which 12 were successfully transferred
to S. mombin, which enabled its use in diversity
studies of this species.
1025
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
Due to an increase in the demand for the
fruits of S. mombin and the lack of knowledge
that would assist in the implementation of com-
mercial plantations in the future, especially
with regard to understanding of the genetic
diversity that the species possesses, this study
aimed to evaluate, by means of microsatellite
molecular markers, the diversity and genetic
structure of natural populations of S. mombin,
in the state of Mato Grosso, Brazil.
MATERIALS AND METHODS
Study area: The study was conducted in
10 municipalities in the state of Mato Grosso.
In each municipality, an area in which the
species naturally occurred was selected. Each
selected area was evaluated as a natural popula-
tion of S. mombin. We sampled 139 individuals
distributed as follows: Alta Floresta (AF) 19,
Apiacás (AP) 7, Cáceres (CC) 15, Colíder
(CL) 14, Marcelândia (MR) 18, Nobres (NB) 8,
Nova Bandeirantes (NA) 18, Porto Estrela (PE)
15, Tangará da Serra (TS) 17 and Vila Bela da
Santíssima Trindade (VB) 8. All the sampled
areas have strong anthropogenic influence,
with isolated trees in the middle of the pasture
matrix, in the urban matrix or in disconnected
forest fragments. The sampled populations of S.
mombin come from the three biomes that exist
in the state of Mato Grosso, namely the Ama-
zon, Pantanal and Cerrado biomes, according
to the delimitation of biomes proposed by the
Ministry of the Environment (2018).
The Amazon is one of the biomes with the
greatest richness of species in the world, but
it is also marked by environmental degrada-
tion. The Amazon region where sample collec-
tions were carried out has mostly an Am-type
climate, with defined dry and rainy seasons,
a mean annual temperature above 26 °C and
annual rainfall capacity of between 2 500 to 3
100 mm (Alvares et al., 2013).
The Pantanal biome is a large wetland
mainly located in Brazil. It has natural resourc-
es of great importance, but is one which has
been put at risk due to unsustainable land
use and occupation practices, such as the
conversion of natural vegetation into cultivated
areas and pastures (Bergier et al., 2018). The
region where the sample collections were car-
ried out has an Aw-type climate, with annual
precipitation ranging from 1 300 to 1 600 mm
and a mean annual temperature of 24 to 26 °C
(Alvares et al., 2013).
The Cerrado is the biome that occupies
20 % of the Brazilian territory; however, it is
extremely anthropized and much of the original
cover has been replaced by pasture areas or
temporary crops such as soybeans, maize and
rice (Duarte & Leite, 2020). The sample collec-
tion region has an Aw-type climate, with annual
precipitation ranging from 1 900 to 2 200 mm
and a mean annual temperature of 24 °C (Alva-
res et al., 2013).
Collection of plant material and DNA
extraction: Sampling of populations was car-
ried out by randomly prioritizing individuals of
reproductive age and with greater geographical
distance from each other. Leaf material was
collected from each selected individual with
a preference for young leaves, without dam-
age and/or signs of disease. Control material
was herborized and deposited in the Southern
Amazon Herbarium - HERBAM, Mato Grosso
State University, Alta Floresta, MT, according
to the methodology of Fidalgo and Bonomi
(1989) and under the registry numbers: 15 289,
15 290, 15 291, 15 292 and 15 293.
The total genomic DNA was extracted
from approximately 100 mg of the foliar mate-
rial following the CTAB method described by
Doyle and Doyle (1987), with modifications
for the species: an increase in the concentration
of Polyvinylpyrrolidone (PVP) from 1 to 2 %
and of β-mercaptoethanol from 0.2 to 1.8 %,
an addition of 0.4 % proteinase K in the extrac-
tion buffer, reduction of the incubation time in
a water bath from 60 minutes to 30 minutes,
while maintaining the temperature at 65 °C.
Genotyping: Amplifications were per-
formed via PCR using seven microsatellite
markers developed by Aguilar-Barajas et al.
(2014) for Spondias radlkoferi and with proven
1026
Revista de Biología Tropical, ISSN: 2215-2075 Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
transfer to S. mombin. The reactions were per-
formed in a final volume of 10 µl, containing
1.5 µL buffer 10x (100 mM Tris-HCl pH 8.3;
500 mM KCl), 1.5 mM MgCl2, 0.2 mM of
each dNTP, 0.5 µM of each primer (F and R);
0.12 µL of Taq DNA polymerase (5 U/µL); 20
ng of DNA and ultrapure water. Amplifications
were conducted using an Aeris
TM
thermocycler
(Esco
®
) following the method described by
Aguilar-Barajas et al. (2014).
The primers were marked using different
fluorochromes to allow the analysis of the PCR
products through duplex and triplex systems
in an automatic sequencer (model ABI 3 730,
Applied Biosystems). The amplified fragments
were detected using the software GeneMarker
V. 2.6.3. The fragment size information was
used to assemble the matrix with each primer
pair for each individual, which was subjected to
analysis of the diversity and genetic structure.
Data analysis: The genetic diversity of S.
mombin populations was characterized as the
total number of alleles, number of alleles per
locus (Na), observed heterozygosity (Ho) and
expected (He) in Hardy-Weinberg equilibrium
and polymorphic information content (PIC).
The inbreeding coefficient (ƒ) was also cal-
culated according to the method by Weir and
Cockerham (1984) for each population and for
each locus. These analyses were performed
with the aid of Power Marker software v. 3.25
(Liu & Muse, 2005). Alleles were classified
according to their frequency and occurrence.
As for the frequency, alleles with a frequency
equal to or less than 0.05 were considered
rare, and those that were common were those
with a frequency greater than 0.05 (Sebbenn,
2003). Regarding occurrence, alleles were con-
sidered to be widely distributed if they were
found in more than 25 % of the populations,
and of local distribution if they were found
in less than 25 % of the analyzed populations
(Sebbenn, 2003). Alleles that occurred in only
one population, regardless of frequency, were
considered exclusive. For each population,
the rare and exclusive alleles were classi-
fied. The classification proposed by Sebbenn
(2003) was used for local rare, widely distrib-
uted rare, local common and widely distributed
common alleles.
The analysis of molecular variance
(AMOVA) was used to infer the genetic struc-
ture of populations and was performed accord-
ing to Excoffier et al. (1992) with the aid
of Arlequin 3.01 software (Excoffier et al.,
2006). The gene flow (Nm) was obtained in
the PopGene program 1.32 (Yeh et al., 1999),
via the equation: Nm = 0.25 (1 - FST)/FST.
The matrix of the genetic distance values of
Nei et al. (1983) among populations gener-
ated by the Power Marker Program v. 3.25
was imported into the GENES program (Cruz,
2016) for the construction of the dendro-
gram using the UPGMA method (Unweighted
Pair-Group Method with Arithmetic Averages).
This grouping method was chosen because it
was the one that best represented the genetic
variation under study, based on the value of
the cophenetic correlation coefficient (CCC),
stress and distortion. To verify whether there
was a correlation between genetic similarity
and geographical distance in the different pop-
ulations analyzed, a Mantel test was performed,
with 10 000 permutations, using the Genes
software (Cruz, 2016).
The Structure program (Pritchard et al.,
2000), based on Bayesian statistics, was used
to infer the number of groups (k). Twenty
runs were performed for each k value (1 to
13), 200 000 burn-ins and 500 000 Markov
chain Monte Carlo (MCMC) simulations. The
criteria proposed by Pritchard & Wen (2004)
and also the criterion proposed by Evano et al.
(2005) were used to define the most probable
K in relation to those proposed, and the results
were uploaded to the Structure Harvester site
(Earl & von Holdt, 2012).
RESULTS
Genetic diversity of S. mombin: The
seven microsatellites used from S. mombin
amplified a total of 46 alleles, ranging from 5 to
10 and averaging 6.6 alleles per locus. The PIC
ranged from 0.048 (SPO21) to 0.700 (SPO40)
1027
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
with an average of 0.317. He was higher than
Ho for six loci and presented means of 0.335
and 0.300 respectively. The fixation index
was positive and different from 0, indicating a
higher number of homozygotes in the loci and
presence of inbreeding. Only locus SPO18 pre-
sented a negative value for ƒ (Table 1).
The mean number of alleles found per
population was 18.3, among which the Cáceres
population (CC) presented the highest number
of alleles. The highest number of heterozy-
gotes, estimated by the fixation index, was
found in Nobres (NB) and the highest number
of homozygotes in the Tangará da Serra popula-
tion (TS). This result for TS is also observed by
the lower Ho value. The PE and TS populations
presented a higher rate of inbreeding compared
to the other populations (Table 2).
In the evaluation of the general allelic
frequency for the 10 populations, 10 local rare
alleles, 13 local common alleles and 23 widely
distributed common alleles were found. By
evaluating the allelic frequency by popula-
tions, we found 27 rare alleles (frequency <
0.05), distributed in 8 of the 10 populations of
S. mombin analyzed. The population Caceres
(CC) and Alta Floresta (AF) had the high-
est numbers of rare alleles (Table 3). In all,
16 unique alleles were found, that is, they
appeared in only one of the 10 populations. The
highest number of exclusive alleles was found
in the AF population (Table 3).
TABLE 1
Estimation of the genetic diversity of S. mombin obtained in seven microsatellite loci
Locus Repeat motif N Na PIC
He Ho
ƒ
SPO3 (TTAA)
6
134 5 0.185 0.193 0.164 0.153
SPO12 (CTT)
10
135 10 0.250 0.256 0.178 0.310
SPO18 (CT)
9
126 6 0.294 0.316 0.350 -0.103
SPO21 (CT)
6
124 5 0.048 0.048 0.024 0.495
SPO22 (AT)
9
137 7 0.470 0.500 0.445 0.111
SPO31 (AAT)
9
136 6 0.272 0.294 0.287 0.028
SPO40 (ATGT)
7
99 7 0.700 0.742 0.646 0.134
Mean 127.28 6.6 0.317 0.335 0.300 0.112
N: number of individuals used in the analysis, except for missing data; Na: number of alleles; PIC: polymorphism
information content; He: expected heterozygosity; Ho: observed heterozygosity; ƒ: fixation index.
TABLE 2
Estimation of the genetic diversity of S. mombin populations obtained using seven microsatellite loci
Population N Na PIC
He Ho
ƒ
AF 19 23 0.340 0.380 0.354 0.095
AP 7 17 0.368 0.486 0.833 -0.245
CC 15 24 0.326 0.359 0.349 0.073
CL 14 21 0.305 0.375 0.500 -0.076
MR 18 20 0.279 0.314 0.344 -0.064
NB 8 15 0.465 0.211 0.298 -0.351
NA 18 16 0.482 0.251 0.284 -0.091
PE 15 17 0.228 0.263 0.227 0.187
TS 17 16 0.224 0.250 0.169 0.357
VB 8 14 0.174 0.199 0.235 -0.115
Total/Species 139 46 0.317 0.335 0.300 0.112
N: number of individuals used in the analysis, except for missing data; Na: number of alleles; PIC: polymorphism
information content; He: expected heterozygosity; Ho: observed heterozygosity; ƒ: fixation index.
1028
Revista de Biología Tropical, ISSN: 2215-2075 Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
Genetic structure of natural populations
of S. mombin: The analysis of molecular vari-
ance showed that there was significant genetic
differentiation (P < 0.000) among populations
and that the largest component of variation
was within populations (90.64 %) (Table 4).
The estimated gene flow was 1.99, which indi-
cates that there is no genetic isolation among
populations. The F
ST
value (0.0963) demon-
strates that there is little genetic differentia-
tion among populations. Thus, it appears that
the gene flow maintained low differentiation
among populations.
The UPGMA dendrogram provided the
formation of two groups, the first group (GI)
formed by 8 populations and the second group
(GII) by 2 populations. The populations for
Alta Floresta (AF) and Marcelândia (MR) were
isolated in GII (Fig. 1).
The Bayesian analysis obtained by the
Structure program, grouped the 139 individu-
als of S. mombin into two groups (k = 2). The
contribution of each population to the groups
generated by the Structure program can be
verified in Fig. 2A and Fig. 2B. The popula-
tions of Alta Floresta (AF) and Marcelândia
(MR) presented greater contribution to the red
group and the rest of the populations presented
greater contribution to the green group. This
grouping is in accordance with the UPGMA
dendrogram, where the AF and MR popula-
tions are more genetically similar, and form a
TABLE 3
Rare and unique alleles found in the populations
of S. mombin for the 7 loci microsatellites
Population Rare alleles Exclusive alleles
AF 6 4
AP 0 2
CC 7 2
CL 3 3
MR 2 1
NB 2 0
NA 2 0
PE 3 3
TS 2 1
VB 0 0
Total 27 16
TABLE 4
Analysis of molecular variance (AMOVA) of the 10 populations of S. mombin studied from 7 microsatellite markers
Source of variation D.f. SS CV TV (%)
p value
Among populations 9 31.686 0.112 9.36 < 0.000
Within populations 268 257.646 1.084 90.64
Total 277 289.332 1.196
D.f.: Degrees of freedom; SS: sum of squares; CV: coefficient of variation; TV: total variation; p: are the probabilities of
having a component of variance greater than the values observed at random. The probabilities were calculated by 1 023
random permutations. F
ST
= 0.0963.
Fig. 1. UPGMA dendrogram generated from the matrix of genetic distance by Nei et al. (1983), and based on data from
seven microsatellite loci for 10 natural populations of S. mombin. CCC = 0.78; distortion = 3.79 %; stress = 19.47 %.
1029
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
Fig. 2. Grouping analysis and geographical distribution of the groups generated by the Structure program. A. Each
population is represented by a graph, the colors indicate the proportion of contribution of each Spondias mombin population
to the groups formed in the Structure program (K = 2). B. Distribution of the two genetic groups generated by the Structure
program. The vertical lines along the X axis represent the individuals and the colored segments along the Y axis demonstrate
the coefficient of association of each individual assigned to each of the inferred K. Numbers within parentheses correspond to
populations. 1: AF (Alta Floresta); 2: AP (Apiacás); 3: CC (Cáceres); 4: CL (Colider); 5: MR (Marcelândia); 6: NB (Nobres);
7: NA (Nova Bandeirantes); 8: PE (Porto Estrela); 9: TS (Tangará da Serra); 10: VB (Vila Bela da Santíssima Trindade).
1030
Revista de Biología Tropical, ISSN: 2215-2075 Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
separate group from the other populations. This
structure demonstrates that genetic variation
between populations is lower than within popu-
lations and agrees with the result of AMOVA.
The genetic structure of S. mombin is not
determined by the geographical structure, since
the most genetically similar populations are
not the closest geographically speaking. This
result is supported by the Mantel test, which
revealed a negative correlation (-0.158) and
was not significant between the matrices of
genetic similarity and geographical distance.
To better illustrate this result, one can cite the
example of the AF population that in the analy-
ses is grouped with the MR population that is
geographically further than the AP, CL and NA
populations (Fig. 2A and Table 5).
DISCUSSION
The polymorphism found in all the ana-
lyzed loci indicate the presence of genetic
diversity in the analyzed populations. The
mean number of alleles per locus found in this
study was higher than that found by Aguilar-
Barajas et al. (2014) for the same loci in 20
individuals from S. mombin in Mexico. These
authors tested the transfer of SSR primers
developed for S. radlkoferi in S. mombin and
found an average of 6.4 alleles per locus, with
a range of 5 to 7 alleles per locus. The increase
in the mean of alleles per locus in this study
may be a result of the sizable genetic differ-
ence between the individuals evaluated and
the greater geographical distance between the
areas sampled.
The expected and observed heterozygosity
were lower than that found by Aguilar-Barajas
et al. (2014) for the same loci. They were also
inferior to those found by Silva et al. (2009)
when analysis was performed by means of iso-
enzymes for the genetic diversity of four popu-
lations of S. mombin in the Rainforest Atlantic
Zone of Pernambuco, Brazil. The lower rate of
heterozygosity found for S. mombin in relation
to other tropical tree species may be related to
forest fragmentation and population size reduc-
tion. These factors can affect genetic processes
such as genetic drift, gene flow, selection,
reproduction systems, in addition to causing
reproductive isolation, increased spatial struc-
ture within the population and consequently
loss of genetic variability (Carvalho et al.,
2010; Young et al., 1996). All the populations
of S. mombin analyzed in this study were in
fragmented areas with significant anthropogen-
ic action, and some individuals were isolated in
a pasture or urban matrix.
The frequency of heterozygotes in the
population is also a measure of diversity (Nei,
1973), and a heterozygote presents variabil-
ity due to carrying two different alleles in the
TABLE 5
Genetic distance matrix* by Nei et al. (1983) and geographical distances** (Km)
among the 10 natural populations of S. mombin
AF AP CC CL MR NB NA PE TS VB
AF ---- 0.146 0.147 0.188 0.066 0.128 0.095 0.150 0.131 0.167
AP 154 ---- 0.134 0.116 0.148 0.042 0.083 0.140 0.126 0.098
CC 705 718 ---- 0.107 0.146 0.096 0.101 0.093 0.098 0.105
CL 126 253 632 ---- 0.168 0.079 0.112 0.164 0.156 0.093
MR 220 359 655 102 ---- 0.107 0.087 0.170 0.136 0.163
NB 528 570 225 432 439 ---- 0.058 0.105 0.100 0.069
NA 192 62 677 270 376 540 ---- 0.096 0.074 0.101
PE 650 674 68 570 588 157 630 ---- 0.040 0.068
TS 588 584 130 524 560 174 544 104 ---- 0.055
VB 714 680 261 685 733 403 620 298 231 ----
*Genetic distance above the diagonal. **Geographical distances (Km) below the diagonal.
1031
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
same locus. Observed heterozygosity (Ho) is
the mean frequency of heterozygous individu-
als per locus among the sample components
(Shimizu et al., 2000) and is highly influenced
by the reproductive system, with allogamous
species, such as S. mombin, generally present-
ing higher values (Faraldo et al., 2000). The
expected heterozygosity (He) is the average
frequency of heterozygotes, per locus, expected
by the Hardy-Weinberg equilibrium (Shimizu
et al., 2000) and in this case, there is no influ-
ence of the reproductive system. In the ana-
lyzed populations of S. mombin, the Ho was
higher than the He in 6 of the 10 populations
and, when Ho is higher than He, it is under-
stood that there are more heterozygotes in the
population than expected by the Hardy-Wein-
berg equilibrium (Gois et al., 2009). This result
demonstrates there is an important genetic
diversity in the populations studied.
In all, one locus and six populations had
negative fixation rates, which indicates an
excess of heterozygotes. However, the posi-
tive fixation index in most loci and in four
populations, as well as in the average for the
species, indicates the presence of inbreeding,
even if in a low proportion, due to the excess
of homozygotes. The fixation index (ƒ) ranges
from -1 to 1, in which positive values indicate
excess homozygotes and negative values indi-
cate excess heterozygotes (Azevedo, 2007).
Inbreeding is a consequence of the reduction
in the number of reproductive individuals in
the population, which induces self-fertilization
and crossbreeding between related individuals
(Young et al., 1996; Reis et al., 2011). Since S.
mombin is a preferentially allogamous species,
with a low rate of self-fertilization and with
a tendency to self-incompatibility (Carneiro
& Martins, 2012; Oliveira et al., 2012), it is
unlikely that only self-fertilization is respon-
sible for inbreeding, and may be caused by
crossbreeding between related individuals or
by preferential mating.
The way seeds are dispersed may favor the
formation of a spatial genetic structure, with
more closely related individuals (Sobierajski et
al., 2006). It was found during the collections
that there was a large amount of endocarps
under the individuals, as well as young individ-
uals of S. mombin in a nearby radius. The agou-
tis, tapirs, bats and monkeys are considered
dispersants of seeds of S. mombin (Heithaus et
al., 1975; Henry et al., 2000; Smythe, 1970),
however, no studies were conducted on the
distance of seed dispersion performed by these
animals. In this case, if they consume the pulp
of the fruit and leave the endocarp near the
mother tree and the seeds germinate giving rise
to a new individual, a spatial genetic structure
is formed that allows the crossing between
related individuals increasing inbreeding. In
addition, there is the possibility of seeds germi-
nating from fruits that fall close to the mother
plant, without the need for a disperser to inter-
fere with the process.
Another factor that can contribute to this is
pollination or pollinating agents of the species.
Turner et al. (1982) found that when pollinators
perform pollination preferably in neighboring
or nearby plants, high levels of inbreeding are
found, even in plants that have self-incompat-
ibility. Small bees, mainly Apis mellifera and
Scaptotrigona tubiba (Carneiro & Martins,
2012; Oliveira et al., 2012), carry out pollina-
tion of S. mombin. This type of bee calculates
energy expenditures for resource collection
and opts for shorter displacements in search
of energy savings (Bizotto & Santos, 2015).
Thus, pollinators may prefer to forage nearby
plants so as not to increase energy expen-
diture, thus assisting in fertilization among
related individuals.
The mean of the PIC showed that the loci
analyzed were moderately informative, two
being poorly informative (PIC < 0.25), four
moderately informative (PIC ranging between
0.25 and 0.50) and one highly informative
(PIC > 0.50), according to the classification of
Botstein et al. (1980). Although they are not
all highly informative, it was possible, through
these loci, to verify the genetic diversity of S.
mombin and find rare and unique alleles.
The Caceres (CC) and Alta Floresta (AF)
populations presented the highest number
of rare alleles and deserve more attention
1032
Revista de Biología Tropical, ISSN: 2215-2075 Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
regarding conservation since, according to
Raposo et al. (2007), populations that have a
higher proportion of rare alleles are more sensi-
tive to loss of genetic diversity due to genetic
drift. The AF population also presented a great-
er number of exclusive alleles, thus deserving
greater attention for conservation. In addition
to rare and exclusive alleles, 13 common alleles
of local distribution were identified. These
alleles are also important for the conservation
of the species because, supposedly, they are the
ones that ensure adaptation to specific environ-
ments and, thus, can have great value in cases
of sudden environmental changes or even as a
source of genetic variability for resistance to
attack by pests and diseases (Sebbenn, 2003).
The UPGMA dendrogram demonstrated
that the populations formed two groups, one
with the MR and AF populations and the
other containing the other populations. The
cophenetic correlation showed an association
of 78 % (CCC = 0.78) between the distances
obtained in the dissimilarity matrix and the
cophenetic matrix. According to Rohlf (1970),
CCC values greater than 0.70 reflect good
agreement between matrices. The dendrogram
data were confirmed by the structure grouping,
where AF and MR were again presented in the
same group.
The geographic distance of the populations
is not related to the genetic similarity between
them, which was verified by the Mantel test.
Despite the absence of a relationship between
the genetic structure and the geographical dis-
tances for the species, the presence of exclu-
sive alleles in the populations may indicate
that this differentiation process is underway
and that time and evolutionary mechanisms
have not yet been sufficient to differentiate
populations at geographical levels. In addi-
tion, the species presents alleles with high
frequency, which decrease the differentiation
between populations.
The value of gene flow revealed that popu-
lations are not genetically isolated, since it was
greater than 1. According to Wright (1931),
Nm values greater than 1 are sufficient to avoid
random loss of alleles within the population.
However, this information should be evalu-
ated with care, since due to the high distance
between most populations, current gene flow
via pollen or seed dispersal is unlikely. Thus,
this value may refer to the historical gene flow
between populations over time, according to
the distribution dynamics of the species in the
studied area, which helped to make the allelic
frequencies similar amongst themselves.
The populations of S. mombin in the state
of Mato Grosso present genetic diversity and
are promising sources of genetic resources
that can be selected, collected and propagated.
An example of this is the presence of local
common alleles that indicate adaptation to
specific environments. Furthermore, a study of
genetic divergence between S. mombin geno-
types through morphological characteristics
carried out by Silva et al. (2017a) in the region
where the AF, MR and NA populations are
located has already demonstrated the potential
of some sampled genotypes for use in breed-
ing, due to the presence of variation in traits of
interest. These data reinforce the importance
of maintaining the genetic diversity of the
populations studied.
Genetic diversity is higher at the intrapop-
ulational level, thus, in situ or ex situ conserva-
tion of individuals from each of the studied
populations is proposed, in order to enable the
maintenance of genetic diversity and effective
conservation of S. mombin. It is hoped that
this knowledge regarding the genetic diversity
of S. mombin will assist in the implementa-
tion of conservation strategies, since it reveals
how this diversity is distributed in space and it
signals how the loss of genetic variability has
occurred in the species.
Ethical statement: authors declare that
they all agree with this publication and made
significant contributions; that there is no con-
flict of interest of any kind; and that we fol-
lowed all pertinent ethical and legal procedures
and requirements. All financial sources are
fully and clearly stated in the acknowledge-
ments section. A signed document has been
filed in the journal archives.
1033
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
ACKNOWLEDGMENTS
We are thankful to the funders of this
study. This study was financed in part by the
Coordenação de Aperfeiçoamento de Pessoal
de Nível Superior - Brasil (CAPES) - Finance
Code 001”, Fundação de Amparo a Pesquisa
do Estado de Mato Grosso (FAPEMAT – Proj-
ect: Conservação e uso de espécies vegetais
nativas da região Amazônica com potencial
econômico para região Norte do estado de
Mato Grosso. Process n. 166159/2014) and
Embrapa Agrossilvipastoril.
RESUMEN
Spondias mombin (Anarcadiaceae):
caracterización molecular y conservación
Introducción: El fruto amarillo del jobo o yuplón (Spon-
dias mombin L.) destaca por sus cualidades sensoriales y
funcionales. Sin embargo, existe poco conocimiento sobre
la diversidad genética de esta especie, lo que ayudaría a la
implantación del cultivo del fruto como cultivo, ya que la
producción actual se basa en el extractivismo.
Objetivo: Evaluar la diversidad y estructura genética de
poblaciones naturales de S. mombin en el estado de Mato
Grosso, Brasil, a través de marcadores moleculares micro-
satélites para ayudar en la implementación de estrategias de
conservación y recolección de recursos genéticos.
Métodos: Se muestrearon un total de 139 individuos de S.
mombin en diez poblaciones naturales. Las amplificaciones
por PCR se realizaron con siete cebadores de microsatélites
marcados con fluorescencia. La diversidad genética se eva-
luó por el número de alelos, heterocigosidad esperada (He)
y observada (Ho), contenido de información polimórfica
(PIC), índice de fijación (ƒ), alelos raros y exclusivos. La
estructura genética se evaluó mediante AMOVA, dendro-
grama UPGMA y análisis estadístico bayesiano.
Resultados: Se amplificaron 46 alelos, los cuales tenían
un promedio de 6.6 alelos por locus. Fue más alto que
Ho y f positivo, lo que indica la presencia de endogamia.
El PIC osciló entre 0.048 y 0.700, y solo dos loci fueron
poco informativos. Encontramos 27 alelos raros y 16 alelos
únicos. El mayor componente de variación fue intrapo-
blacional (90.64 %). El flujo de genes estimado fue de
1.99, lo que indica que no hay aislamiento genético entre
poblaciones y justifica el valor de FST (0.0963). Las diez
poblaciones se agruparon en dos grupos y dos poblacio-
nes constituyeron un grupo aislado. La prueba de Mantel
demostró que la estructura genética no está relacionada con
la distancia geográfica entre poblaciones.
Conclusión: Existe diversidad genética en las poblaciones
de S. mombin, la cual debe ser conservada in situ o ex situ,
por la diversidad que presentan y porque son fuentes pro-
misorias para la recolección de germoplasma.
Palabras clave: conservación; recursos genéticos; variabi-
lidad genética; microsatélite; jobo, yuplón.
REFERENCES
Aguilar-Barajas, E., Sork, V. L., González-Zamora, A.,
Rocha-Ramírez, V., Arroyo-Rodríguez, V., & Oyama,
K. (2014). Isolation and characterization of polymor-
phic microsatellite loci in Spondias Radlkoferi (Ana-
cardiaceae). Applications in Plant Sciences, 2(11),
1–3. https://doi.org/10.3732/apps.1400079
Alvares, C. A., Stape, J. L., Sentelhas, P. C., Gonçal-
ves, J. L. M., & Sparovek, G. (2013). Köppen’s
climate classification map for Brazil. Meteorolo-
gische Zeitschrift, 22(6), 711–728. https://doi.
org/10.1127/0941-2948/2013/0507
Arnold, C., Rossetto, M., McNally, J., & Henry, R. J.
(2002). The application of SSRs characterized for
grape (Vitis vinifera) to conservation studies in
Vitaceae. American Journal of Botany, 89(1), 22-28.
https://doi.org/10.3732/ajb.89.1.22
Azevedo, V. C. (2007). Desenvolvimento e aplicações
de microssatélites, análise de cpDNA e modelagem
computacional para estudos da estrutura e dinâ-
mica genética de maçaranduba – Manilkara huberi
(Ducke) Chev. Sapotaceae (Doctoral thesis). Univer-
sidade de Brasília, Brasil.
Bergier, I., Assine, M. L., McGlue, M. M., Alho, C. J. R.,
Silva, A., Guerreiro, R. L., & Carvalho, J. C. (2018).
Amazon rainforest modulation of water security in
the Pantanal wetland. Science of the Total Environ-
ment, 619-620, 1116–1125. https://doi.org/10.1016/j.
scitotenv.2017.11.163
Bizotto, L. A., & Santos, R. S. S. (2015). Dinâmica de voo
e coleta de recursos por Apis mellifera em pomar de
macieira. Enciclopédia Biosfera, 11(21), 3499–3506.
Botstein, D., White, R. L., Skolmick, H., & Davis, R.
W. (1980). Construction of a genetic linkage map
in man using restriction fragment length polymor-
phism. American Journal of Human Genetics, 32(3),
314–331. https://doi.org/10.1007/BF00266542
Caixeta, E. T., Oliveira, A. C. B., Brito, G. G., & Sakiyama,
N. S. (2016). Tipos de marcadores moleculares. En A.
Borém & E. T. Caixeta (Eds.), Marcadores molecula-
res (1
st
ed., pp. 9–93). Editora UFV.
Carneiro, L. T., & Martins, C. F. (2012). Africanized honey
bees pollinate and preempt the pollen of Spondias
mombin (Anacardiaceae) flowers. Apidologie, 43(4),
474–486. https://doi.org/10.1007/s13592-011-0116-7
1034
Revista de Biología Tropical, ISSN: 2215-2075 Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
Carvalho, A. C. M., Freitas, M. L. M., Moraes, S. M. B.,
Moraes, M. L. T., Stranghetti, V., Alzate-Marin, A.
L., & Sebbenn, A. M. (2010). Diversidade genética,
endogamia e fluxo gênico em pequena população
fragmentada de Copaifera langsdorffii. Revista Bra-
sileira de Botânica, 33(4), 599–606. https://doi.
org/10.1590/S0100-84042010000400008
Carvalho, C., Kist, B. B., Santos, C. E., Treichel, M., &
Filter, C. F. (2017). Anuário brasileiro da fruticultura
2017. Editora Gazeta Santa Cruz.
Costa, T. S., Silva, A. V. C., Lédo, A. S., Santos, A.
R. F., & Silva Júnior, J. F. (2011). Diversidade
genética de acessos do banco de germoplasma de
mangaba em Sergipe. Pesquisa Agropecuária Bra-
sileira, 46(5), 499–508. https://doi.org/10.1590/
S0100-204X2011000500007
Cruz, C. D. (2016). Genes Software – extended and
integrated with the R, Matlab and Selegen. Acta
Scientiarum Agronomy, 38(4), 547–552. https://doi.
org/10.4025/actasciagron.v38i4.32629
Dardengo, J. F. E., Rossi, A. A. B., Oliveira, L. O., Pena, G.
F., Rivas, L. H., Silva, C. J., & Rufatto, F. P. (2021).
Structure and genetic diversity of Theobroma specio-
sum (Malvaceae) and implications for Brazilian Ama-
zon conservation. Rodriguésia, 72(1), e02022018.
https://doi.org/10.1590/2175-7860202172023
Doyle, J. J., & Doyle, J. L. (1987). A rapid DNA isolation
procedure for small amounts of fresh leaf tissue.
Phytochem Bulletin, 19(1), 11–15.
Duarte, T. E. P. N, & Leite, L. B. (2020). Cidades médias
no Cerrado Brasileiro: desafios para a conservação
da biodiversidade. Terra Plural, 14(1), e2013420.
https://doi.org/10.5212/terraplural.v.14.2013420.006
Earl, D. A., & von Holdt, B. M. (2012). Structure Harves-
ter: a website and program for visualizing Structure
output and implementing the Evanno method. Con-
servation Genetics Resources, 4, 359–361. https://
doi.org/10.1007/s12686-011-9548-7
Estopa, R. A., Souza, A. M., Moura, M. C. O., Botrel,
M. C. G., Mendonça, E. G., & Carvalho, D. (2006).
Diversidade genética em populações naturais de can-
deia (Eremanthus erythropappus (DC.) MacLeish).
Scientia Forestalis, 70, 97–106.
Evano, G., Regnaut, S., & Goudet, J. (2005). Detec-
ting the number of clusters of individuals using
the software structure: a simulation study. Mole-
cular Ecology, 14(8), 2611–2620. https://doi.
org/10.1111/j.1365-294X.2005.02553.x
Excoffier, L., Laval, G., & Schneider, S. (2006). Arlequin
3.01. An integrated software package for population
genetics data analysis. University of Berne.
Excoffier, L., Smouse, P. E., & Quattro, J. M. (1992).
Analysis of molecular variance inferred from metric
distances among DNA haplotypes: application to
human mitochondrial DNA restriction data. Genetics,
131(2), 479–491.
Faraldo, M. I. F., Silva, R. M., Ando, A., & Martins, P. S.
(2000). Variabilidade genética de etnovariedades de
mandioca em regiões geográficas do Brasil. Scientia
Agricola, 57(3), 499–500. https://doi.org/10.1590/
S0103-90162000000300020
Ferreira, M. E., & Grattapaglia, D. (1998). Introdução ao
uso de marcadores moleculares em análise genética.
Embrapa Recursos Genéticos e Biotecnologia.
Fidalgo, O., & Bononi, V. L. R. (1989). Técnicas de coleta,
preservação e herborização de material botânico.
Instituto de Botânica de São Paulo.
Freitas, D. G. C., & Mattietto, R. A. (2013). Ideal sweet-
ness of mixed juices from Amazon fruits. Ciência e
Tecnologia de Alimentos, 33(S1), 148–154. https://
doi.org/10.1590/S0101-20612013000500022
Giles, J. A. D., Partelli, F. L., Ferreira, A., Rodrigues, J.
P., Oliosi, G., & Lima e Silva, F. H. (2018). Genetic
diversity of promising ‘conilon’ coffee clones based
on morpho-agronomic variables. Annals of the Brazi-
lian Academy of Sciences, 90(2), 2437–2446. http://
dx.doi.org/10.1590/0001-3765201820170523
Giustina, L. D., Rossi, A. A. B., Vieira, F. S., Tardin, F. D.,
Neves, L. G., & Pereira, T. N. S. (2017). Variabilida-
de genética em genótipos de teca (Tectona grandis
Linn, F.) baseada em marcadores moleculares ISSR
e caracteres morfológicos. Ciência Florestal, 27(4),
1311–1324. https://doi.org/10.5902/1980509829894
Gois, I. B., Silva-Mann, R., & Ferreira, R. A. (2009). Varia-
bilidade genética de Spondias lutea L. em uma popu-
lação do baixo São Francisco sergipano, por meio de
isoenzimas. Scientia Forestalis, 37(81), 55–60.
Heithaus, E. R., Fleming, T. H., & Opler, P. A. (1975).
Foraging patterns and resource utilization in seven
species of bats in a seasonal tropical forest. Ecology,
56(4), 841–854. https://doi.org/10.2307/1936295
Henry, O., Feer, F., & Sabatier, D. (2000). Diet of the
Lowland Tapir (Tapirus terrestris L.) in French Guia-
na. Biotropica, 32(2), 364–368.
Lederman, I. E., Lira Júnior, J. S., & Silva Júnior,
F. S. (2008). Spondias no Brasil: umbu, cajá e
espécies afins. Empresa Pernambucana de Pesquisa
Agropecuária.
Lima, A. T. B., Souza, V. A. B., Gomes, R. L. F., & Lima,
P. S. C. (2011). Molecular characterization of cajá,
Spondias mombin (Anacardiaceae), by RAPD mar-
kers. Genetics and Molecular Research, 10(4), 2893–
2904. http://dx.doi.org/10.4238/2011.November.25.1
Liu, K., & Muse, S. (2005). PowerMarker: Integra-
ted analysis environment for genetic marker data.
1035
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
Bioinformatics, 21(9), 2128–2129. https://doi.
org/10.1093/bioinformatics/bti282
Machado, M., Carvalho, P., & van den Berg, C. (2015).
Domestication, hybridization, speciation, and the
origins of an economically important tree crop of
Spondias (Anacardiaceae) from the Brazilian Caa-
tinga dry forest. Neodiversity, 8, 8–49. https://doi.
org/10.13102/neod.81.2
Martins, G., Balbino, E., Marques, A., & Almeida, C.
(2019). Complete mitochondrial genomes of the
Spondias tuberosa Arr. Cam and Spondias mombin L.
reveal highly repetitive DNA sequences. Gene, 720,
144026. https://doi.org/10.1016/j.gene.2019.144026
Mattietto, R. A., Lopes, A. S., & Menezes, H. C. (2010).
Caracterização física e físico-química dos frutos da
cajazeira (Spondias mombin L.) e de suas polpas
obtidas por dois tipos de extrator. Brazilian Journal
of Food Technology, 13(3), 156–164. https://doi.
org/10.4260/BJFT2010130300021
Ministry of the Environment. (2018). Download de dados
geográficos. http://mapas.mma.gov.br/i3geo/data-
download.htm
Nei, M. (1973). Analysis of gene diversity in subdivided
populations. Proceedings of the National Academy of
Sciences, 70(12), 3321–3323.
Nei, M., Tajima, F., & Tateno, Y. (1983). Accuracy of
estimated phylogenetic trees from molecular data.
Journal of Molecular Evolution, 19(2), 153–170.
Oliveira, M. O., Souza, F. X., & Freitas, B. M. (2012).
Abelhas visitantes florais, eficiência polinizadora e
requerimentos de polinização na cajazeira (Spondias
mombin). Revista Acadêmica: Ciências Agrárias e
Ambientais, 10(3), 277–284. https://doi.org/10.7213/
academica.7711
Pinto, W. S., Dantas, A. C. V. L., Fonseca, A. A. O., Ledo,
C. A. S., Jesus, S. C., Calafange, P. L. P., & Andrade,
E. M. (2003). Caracterização física, físico-química
e química de frutos de genótipos de cajazeiras. Pes-
quisa Agropecuária Brasileira, 38(9), 1059–1066.
https://doi.org/10.1590/S0100-204X2003000900006
Pritchard, J. K., Stephens, M., & Donnelly, P. (2000).
Inference of population structure using multilocus
genotype data. Genetics, 155(2), 945–959.
Pritchard, J. K., & Wen, W. (2004). Documentation for
structure software: Version 2. University of Chicago.
Raposo, A., Martins, K., Ciampi, A. Y., Wadt, L. H. O., &
Veasey, E. A. (2007). Diversidade genética de popu-
lações de andiroba no Baixo Acre. Pesquisa Agrope-
cuária Brasileira, 42(9), 1291–1298. http://dx.doi.
org/10.1590/S0100-204X2007000900011
Reis, R. V., Oliveira, E. J., Viana, A. P., Pereira, T. N. S.,
Pereira, M. G., & Silva, M. G. M. (2011). Diversidade
genética em seleção recorrente de maracujazeiro-ama-
relo detectada por marcadores microssatélites. Pes-
quisa Agropecuária Brasileira, 46(1), 51–57. http://
dx.doi.org/10.1590/S0100-204X2011000100007
Rohlf, J. (1970). Adaptive Hierarchical Clustering Sche-
mes. Systematic Zoology, 19(1), 58–82.
Santana, F. F. (2010). Caracterização de genótipos de
cajazeira (Doctoral thesis). Universidade Esta-
dual Paulista, Brazil. https://repositorio.unesp.br/
handle/11449/105213
Santos, V., & Almeida, C. (2019). The complete chloroplast
genome sequences of three Spondias species reveal
close relationship among the species. Genetics and
Molecular Biology, 42(1), 132–138. http://dx.doi.
org/10.1590/1678-4685-GMB-2017-0265
Santos, J. F. L., Rossi, A. A. B., Pena, G. F., Tiago, A. V.,
Zortéa, K. E. M., Cardoso, E. S., Pedri, E. C. M.,
Santos, I. C. B., Santos, P. H. A. D., Santos, D. B., &
Santos, I. R. B. (2020). Variability of fruits and seeds
of Byrsonima crassifolia (Malpighiaceae) genotypes
cultivated in northern Mato Grosso State, Brazil.
Genetic and Molecular Research, 19(2), gmr18620.
http://dx.doi.org/10.4238/gmr18620
Sebbenn, A. M. (2003). Número de populações para con-
servação genética in situ de espécies arbóreas. Revis-
ta do Instituto Florestal, 15(1), 45–51.
Shimizu, J. Y, Jaeger, P., & Sopchaki, S. A. (2000). Varia-
bilidade genética em uma população remanescente
de araucária no Parque Nacional do Iguaçu, Brasil.
Boletim de Pesquisa Florestal, 41, 18–36.
Silva, J. N., Costa, A. B., Silva, J. V., & Almeida, C.
(2015). DNA barcoding and phylogeny in neotro-
pical species of the genus Spondias. Biochemical
Systematics and Ecology, 61, 240–243. http://dx.doi.
org/10.1016/j.bse.2015.06.005
Silva, E. F., Martins, L. S. S., & Oliveira, V. R. (2009).
Diversity and genetic struture in cajá tree (Spondias
mombin L.) populations in northeastern Brazil. Revis-
ta Brasileira de Fruticultura, 31(1), 171–181. http://
dx.doi.org/10.1590/S0100-29452009000100024
Silva, B. M., Rossi, A. A. B., Dardengo, J. F. E., Tiago, P.
V., Silveira, G. F., & Souza, S. A. M. (2017a). Genetic
divergences between Spondias mombin (Anacardia-
ceae) genotypes found through morphological traits.
Revista de Biología Tropical, 65(4), 1337–1346.
http://dx.doi.org/10.15517/rbt.v65i4.25765
Silva, B. M., Rossi, A. A. B., Tiago, A. V., Schmitt, K. F.
M., Dardengo, J. F. E., & Souza, S. A. M. (2017b).
Genetic diversity of Cajazeira (Spondias mombin
L.) in three geographic regions. Genetics and Mole-
cular Research, 16(1), gmr16018946. http://dx.doi.
org/10.4238/gmr16018946
1036
Revista de Biología Tropical, ISSN: 2215-2075 Vol. 69(3): 1023-1036, July-September 2021 (Published Set. 08, 2021)
Smythe, N. (1970). Relationships between fruiting seasons
and seed dispersal methods in a neotropical forest.
The American Naturalist, 104(935), 25–35.
Sobierajski, G. R., Kageyama, P. Y., & Sebbenn, A. M.
(2006). Sistema de reprodução em nove populações
de Mimosa scabrella Bentham (Leguminosaceae).
Scientia Forestalis, 71, 37–49.
Souza, F. X., Costa, J. T. A., & Lima, R. N. (2006). Carac-
terísticas morfológicas e fenológicas de clones de
cajazeira cultivados na Chapara do Apódi, Ceará.
Revista Ciência Agronômica, 37(2), 208–215.
Sujii, P. S., Martins, K., Wadt, L. H. O., Azevedo, V. C.
R., & Solferini, V. N. (2015). Genetic structure of
Bertholletia excelsa populations from the Amazon at
different spatial scales. Conservation Genetics, 16(4),
955–964. https://doi.org/10.1007/s10592-015-0714-4
Turner, M. E, Stephens, J. C., & Anderson, W. W. (1982).
Homozygosity and patch structure in plant popula-
tions as a result of nearest-neighbor pollination. Pro-
ceedings of the National Academy of Sciences, 79(1),
203–207. https://doi.org/10.1073/pnas.79.1.203
Weir, B. S., & Cockerham, C. C. (1984). Estimating
F-statistics for the analysis of population struc-
ture. Evolution, 38(6), 1358–1370. https://doi.
org/10.2307/2408641
Wright, S. (1931). Evolution in mendelian populations.
Genetics, 16(2), 97–159.
Yeh, F. C., Yang, R. C., & Boyle, T. (1999). POPGENE:
Microsoft Windows-based freeware for population
genetic analysis (Version 1.32, software). https://
sites.ualberta.ca/~fyeh/popgene_download.html
Young, A., Boyle, T., & Brown, T. (1996). The population
genetic consequences of habitat fragmentation for
plants. Trends in Ecology & Evolution, 11(10), 413–
418. https://doi.org/10.1016/0169-5347(96)10045-8
Zane, L., Bargelloni, L., & Patarnello, T. (2002). Stra-
tegies for microsatellite isolation: a review.
Molecular Ecology, 11(1), 1–16. https://doi.
org/10.1046/j.0962-1083.2001.01418.x