Microsatellites are important for forest genetic resources conservation in Brazilian biomes

ABSTRACT

Microsatellites are short sequence repeats that make up the genomes of eukaryotes and prokaryotes. They are of great importance as DNA markers for studies in several fields of genetics. In the present review, we searched for studies published in the five years period of 2017 to 2021 regarding the use of microsatellites in studies with forest tree species from the Brazilian biomes, in order to examine the importance of these markers for forest resources conservation. We searched scientific papers in journals indexed on the Scopus and Web of Science databases. There were found 38 peer reviewed articles that used microsatellites in the Brazilian biomes. The Atlantic Forest was the biome with more studies (35.9 %) and most of the studies were published in 2018 (34.2 %). In addition, most of the studied species belonged to the Fabaceae family (34.2 %). The conclusions and recommendations made in these studies ratify the great contribution of microsatellite markers in the conservation of native forest species in Brazilian biomes.

Keywords:
Brazilian ecosystems; genetic diversity; genetic structure; forest conservation; SSR markers

Introduction

Habitat fragmentation is one of the most issues of concern in conservation biology. Once large and continuous populations are split into smaller fragments, primarily by human disturbances such as land clearing and conversion, the genetic diversity is negatively affected (Franklin et al. 2002). Genetic diversity is a key component for the sustainability of species as it enables communities to adapt to changing environments. For this reason, efforts in forest conservation include genetic tools to analyze the genetic diversity among individuals and populations (Jump et al. 2009).

The genetic diversity and its distribution among groups can be quantified through the use of genetic markers, such as Simple Sequence Repeats - SSR. This class of markers contributes to increase efficiency in genetic studies as they are neutral, can be accessed regardless of the plant’s development stage and the environment, and does not compromise the viability of the specimens under study since small amounts of tissue are necessary, allowing additional analyzes to be performed (Garcia et al. 2004).

Since its development in the 1980s by Litt & Luty (1989), microsatellites or Simple Sequence Repeats (SSRs) have been used in genetic studies. These markers are abundant and broadly distributed in eukaryotic and prokaryotic genomes. Due to high rates of DNA replication error within microsatellites, the length of a microsatellite shows intra- and interspecific variation. For this reason, microsatellites are used for designing PCR-based markers for population genetic characterizations, genome mapping, tagging trait-associated genes during marker-assisted selection, among other applications (Wang et al. 2018). The use of SSRs is qualified by the information obtained, mainly because of their co-dominant inheritance, allowing access to complete genetic information (Garrido-Cardenas et al. 2018).

The aim of this study was to analyze the state of the art of using microsatellite markers in scientific articles regarding genetic studies of natural forest populations in Brazilian biomes published from 2017 to 2021.

Material and methods

This article is a bibliographic review on the studies regarding the use of microsatellite markers in genetic analyzes of Brazilian forest ecosystems. It brings together manuscripts published in the last five years (2017-2021). The research was restricted to scientific articles in journals indexed on the Scopus and Web of Science databases. The access to these databases was performed through the Coordination for the Improvement of Higher Education Personnel (CAPES, Brazil) platform. The following keywords were used: "SSR", "microsatellites", “forest” and “Brazil", in association with the Boolean operator AND. Only publications with some application in forest tree species conservation were selected.

The obtained data were analyzed in order to get the dimension of the relevance of this class of DNA markers in studies for forest resources conservation.

Results

There were 38 peer reviewed scientific articles that used microsatellite markers in forest tree species from different Brazilian biomes from 2017 to 2021. The Atlantic Forest was the biome with more studies (n = 14; 35.9 %), followed by Cerrado (n = 11; 28.2 %) and Amazon (n = 10; 25.6), while Pantanal (n = 2; 5.1 %) and Caatinga (n = 2; 5.1 %) were the less studied biomes. No study was recorded in the Pampa biome (Table 1).

Table 1
List of studies published in the Brazilian biomes using microsatellite markers from 2017 to 2021.

Study number	Biome	Target species	Family	Authors and publication year
1	Atlantic Forest	Cariniana estrellensis and Cariniana legalis	Lecythidaceae	Souza et al. (2018)
2	Atlantic Forest	Anadenanthera colubrina and Anadenanthera peregrina	Fabaceae	Feres et al. (2021)
3	Atlantic Forest	Centrolobium tomentosum	Fabaceae	Sujii et al. (2017)
4	Atlantic Forest	Casearia sylvestris	Salicaceae	Araujo et al. (2017)
5	Atlantic Forest	Myroxylon peruiferum	Fabaceae	Schwarcz et al. (2018)
6	Atlantic Forest	Myroxylon peruiferum	Fabaceae	Silvestre et al. (2018)
7	Atlantic Forest	Rhizophora mangle	Rhizophoraceae	Francisco et al. (2018)
8	Atlantic Forest	Eschweilera ovata	Lecythidaceae	Santos et al. (2019)
9	Atlantic Forest	Cedrela fissilis	Meliaceae	Gandara et al. (2019)
10	Atlantic Forest	Eugenia involucrata	Myrtaceae	Stefanel et al. (2021)
11	Atlantic Forest	Luehea divericata	Malvaceae	Silva et al. (2021)
12	Atlantic Forest	Campomanesia xanthocarpa	Myrtaceae	Petry et al. (2021)
13	Atlantic Forest	Anadenanthera peregrina	Fabaceae	Cortelete et al. (2021)
14	Atlantic Forest	Schinus terebinthifolia	Anacardiaceae	Velasques et al. (2021)
15	Cerrado	Dipteryx alata	Fabaceae	Berti et al. (2017)
16	Cerrado	Dipteryx alata	Fabaceae	Guimarães et al. (2019)
17	Cerrado	Casearia grandiflora	Salicaceae	Costa et al. (2017)
18	Cerrado	GenipaAmericana	Rubiaceae	Manoel et al. (2017)
19	Cerrado	Eugenia dysenterica	Myrtaceae	Boaventura-Novaes et al. (2018)
20	Cerrado	Hymenaea stigonocarpa	Fabaceae	Moraes et al. (2018)
21	Cerrado	Qualea grandiflora	Vochysiaceae	Potascheff et al. (2019)
22	Cerrado	Dimorphandra wilsonii	Fabaceae	Muniz et al. (2020)
23	Cerrado	Hancornia speciosa	Apocynaceae	Chaves et al. (2020)
24	Cerrado	Astronium fraxinifolium	Anacardiaceae	Manoel et al. (2021)
25	Amazon	Bertholletia excelsa	Lecythidaceae	Cabral et al. (2017)
26	Amazon	Bertholletia excelsa	Lecythidaceae	Giustina et al. (2017)
27	Amazon	Bertholletia excelsa	Lecythidaceae	Giustina et al. (2018)
28	Amazon	Bertholletia excelsa	Lecythidaceae	Martins et al. (2018)
29	Amazon	Bertholletia excelsa	Lecythidaceae	Vieira et al. (2019)
30	Amazon	Bertholletia excelsa	Lecythidaceae	Baldoni et al. (2020)
31	Amazon	Genipa Americana	Rubiaceae	Ruzza et al. (2018)
32	Amazon	Theobroma speciosum	Malvaceae	Dardengo et al. (2018)
33	Amazon	Hymenaea courbaril	Fabaceae	Rocha et al. (2019)
34	Amazon	Caryocar villosum	Caryocaraceae	Francisconi et al. (2021)
35	Caatinga	Prosopis palida and Prosopis juliflo	Fabaceae	Freitas et al. (2019)
36	Caatinga	Spondias tuberosa	Anacardiaceae	Santos et al. (2021)
37	Pantanal	Prosopis rubriflora and Prosopis ruscifolia	Fabaceae	Alves et al. (2018a)
38	Pantanal	Prosopis rubriflora	Fabaceae	Alves et al. (2018b)

Twelve botanic families were represented in the studies. Most of the studied species belonged to the Fabaceae family (n = 13; 34.2 %), followed by the Lecythidaceae family (n = 8; 21.1 %). On the other hand, Caryocaraceae, Meliaceae, Apocynaceae, Rhizophoraceae and Vochysiaceae were represented by only one species (2.6 %). The other studied families were Myrtaceae (n = 3; 5.3 %), Anacardiaceae (n = 3; 5.3 %), Salicaceae (n = 2; 2.6 %), Rubiaceae (n = 2; 26 %) and Malvaceae (n = 2; 2.6 %). In addition, most of the studies were published in 2018 (n = 13; 34.2 %), followed by 2021 (n = 8; 21.1 %), 2017 (n = 7; 18.4 %), 2019 (n = 7; 18.4 %), while in 2020 least number of studies (n=3; 7.9 %) were published.

Atlantic Forest biome

Most of the published studies with microsatellite markers were performed in the Atlantic Forest. There was a record of 14 studies (36.8 %) in this biome. In a study that involved two species of the Cariniana genus, microsatellite markers were used to access the gene flow pattern in fragmented populations of Cariniana estrellensis and C. legalis. For both species, there were high levels of seed (38.5-61.5 %) and pollen (80.1-100 %) immigration. No self-fertilization was detected, but there was evidence of mating among related trees (8.9 - 12.5 %). The effective size in most of the populations varied from 10 to 33 and these values are lower than suggested for short-term conservation (Ne < 70) (Souza et al. 2018).

In another study that involved two species, microsatellite markers were used to study the mating system and gene flow for Anadenanthera colubrina and A. peregrina. The analyses revealed that A. colubrina is a mixed mating species (multilocus outcrossing rate = 0.619) while A. peregrina is a predominantly outcrossing species (multilocus outcrossing rate = 0.905). For both species, high indices of biparental inbreeding were observed (0.159 and 0.216 respectively), resulting in low effective pollination neighborhood sizes (Feres et al. 2021).

Sujii et al. (2017) used nuclear and plastid microsatellite markers to assess genetic parameters of juvenile and adult individuals in two Centrolobium tomentosum restoration areas, one corresponding to a disturbed fragment and the other, a large and well-preserved protection area. The authors reported that the restoration program was successful as they observed high genetic diversity and low inbreeding in the restoration areas, whose values were similar to the natural remnants, suggesting gene flow between those areas.

In characterizing two Casearia sylvestris populations, microsatellite markers revealed high allelic variation in both populations (number of alleles = 101 and 117; allelic richness = 12.5 and 14.4), despite what the authors considered high inbreeding (F_IS = 0.640 and 0.363). Due to low gene flow, the authors found significant genetic divergence between populations (F_ST = 0.103) (Araujo et al. 2017).

In genotyping Myroxylon peruiferum populations from reforested and remnant natural areas, Schwarcz et al. (2018) evaluated the potential of forest restoration for the production of high genetic diversity tree populations in previously deforested areas. Due to the intense gene flow, no significant differences were found between areas in terms of inbreeding (F_IS = 0.20) or genetic diversity (H_E = 0.31 - 0.43; allelic richness = 2.41 - 2.94).

Eight microsatellite loci used to study the reproductive system and genetic diversity in Myroxylon peruiferum revealed a mixed reproductive system in this species with evidence of biparental inbreeding at the rate of 0.118. Genetic diversity was low (allelic richness = 1.40 - 4.82; H_E = 0.29 - 0.52) and the effective sizes for seedlings were much lower (Ne = 27.54 - 34.86) to those recommended for short-term conservation (Ne ≥ 100) (Silvestre et al. 2018).

In studying the genetic diversity and the reproductive system of adult individuals and seeds from a Rhizophora mangle population, four microsatellite loci yielded a fixation index of -0.222 and 0.030 for adults and seeds respectively, and a multilocus outcrossing rate (tm) of 0.921. The coancestry coefficient was 0.180, similar to the expected for half-sib progenies (0.125). Based on these results, the authors estimated that 62 adult trees are needed for seed collection for short-term conservation (Francisco et al. 2018).

The genetic variability and gene pool sharing analysis of Eschweilera ovata revealed that there was moderate genetic diversity, particularly in conservation units with full protection, and that there was gene pool sharing between the subpopulations, which might reflect the historical gene flow that occurred before forest fragmentation (Santos et al. 2019).

Through the use of nine microsatellite loci, Gandara et al. (2019) investigated the genetic structure and diversity of undisturbed and disturbed Cedrela fissilis fragments. Genetic diversity was higher within than among fragments, with observed and expected heterozygosities ranging from 0.48 to 0.63 and from 0.55 to 0.70, respectively. The fragments showed moderate genetic structure (F_ST = 0.10). Therefore, authors suggested protecting all fragments instead of single isolated fragments.

A set of microsatellites used to analyze the variability and genetic structure in Eugenia involucrata fragments revealed high levels of genetic variability (3.67 alleles per locus; H_O = 0.815; H_E = 0.625), most of which (93 %) was distributed within the fragments (Stefanel et al. 2021).

Silva et al. (2021) studied the genetic variability of three Luehea divaricata natural fragments and observed high genetic variability, most of which (77 %) distributed within fragments, high gene flow (Nm= 3.853) and low genetic differentiation (F_ST = 0.072).

The evaluation of the patterns of genetic diversity, fine-scale spatial genetic structure and historical gene flow in Campomanesia xanthocarpa fragments revealed that the fragments presented moderate to high levels of genetic diversity and there was observed the isolation by adaptation pattern, which implied the need for maintenance of the current remnants to assure the conservation of the private alleles (Petry et al. 2021).

The diversity and genetic structure of Anadenanthera peregrina were used as strategies for ex situ conservation. From a planted population, 42 alleles were detected and negative values for F_IS were observed, indicating escape of inbreeding in the population. According to the authors, the findings revealed the importance of ex situ conservation of the evaluated genotypes, allowing future use of the population as a seed orchard (Cortelete et al. 2021).

Microsatellite markers were used in studies of genetic structure among Schinus terebinthifolia populations from different ecological groups. Genetic structure revealed differences among populations (37.72 %) and significant fixation rates based on F_ST (P < 0.001). The patterns of distribution for the species did not follow the isolation by distance or similarity by environmental conditions. The most divergent genotype group was found at the ombrophilous forest, which indicates that conservation efforts should be undertaken to prevent losses of biodiversity in that area (Velasques et al. 2021).

Cerrado biome

Eleven studies (28.9 %) used microsatellites to analyze the genetic diversity in forest tree species from Cerrado, one of which was performed also in the Pantanal biome. Two of these studies involved Dipteryx alata. The analysis of the genetic diversity of three natural populations of Dipteryx alata revealed that these populations presented moderate genetic diversity (H_O = 0,618; H_E = 0,715) which is fundamental for their survival along the generations (Berti et al. 2017). In another study, the genetic diversity of a Dipteryx alata progeny from a germplasm collection, revealed that the number of alleles was 50 and, due to the high effective population size (Ne = 96), the germplasm collection had sufficient representativeness for use as a base population for breeding programmes (Guimarães et al. 2019).

In studying the genetic structure of Casearia grandiflora in conserved and disturbed populations, there was observed moderate divergence between populations (F_ST = 0.14) and higher proportion of genetic diversity (85 %) was distributed within populations, which were not structured. In addition, less urbanized populations had greater genetic diversity, confirming the effectiveness of protected areas in genetic diversity conservation (Costa et al. 2017).

Microsatellites used to investigate the impact of spatial isolation on pollen and seed flow in a Genipa americana population detected a minimum immigration of pollen (6 %) and seeds at 4 % and mating among relatives (20-40 %), indicating genetic connectivity with other populations (Manoel et al. 2017).

The assessment of the pattern of phenotypic and molecular genetic divergence among natural subpopulations of Eugenia dysenterica suggested that the species has a spatial genetic structure which must be taken into account for managing its genetic resources for both conservation and breeding purposes (Boaventura-Novaes et al. 2018).

Microsatellite loci were used to investigate the pollen and seed dispersal and mating patterns in Hymenaea stigonocarpa. The species presented a mixed mating system, with variations in the outcrossing rate (0.53 - 1.0). Pollen and seed dispersal occurred over long distances (>8 km) and the dispersal patterns were isolated by distance. Selfing resulted in a higher inbreeding depression than mating among relatives (Moraes et al. 2018).

The analysis of reproductive success, pollen dispersal and mating system of Qualea grandiflora trees revealed that the mean pollen dispersal distance (524.7 m) and the effective number of pollen donors per mother-tree (Nep = 12.7) were higher than for roadside trees (60.9 m, Nep = 4.6). The results indicated that the spatial isolation of roadside trees decreased pollinator movements (Potascheff et al. 2019).

The genetic diversity evaluation of ten Dimorphandra wilsonii populations resulted in 4 to 13 alleles per locus, and heterozygosity values per locus ranged from 0.113 to 0.940 for H_O and from 0.219 to 0.796 for H_E (Muniz et al. 2020).

A study aiming to compare quantitative and molecular variation within and among botanical varieties and subpopulations of Hancornia speciosa revealed a low degree of divergence among the botanical varieties and significant structuring among the subpopulations within varieties. According to the authors, divergent selection shaped the genetic structure among the botanical varieties for some traits, while genetic drift and uniform selection influenced the variation among the subpopulations (Chaves et al. 2020).

Pollen and seed flow for Astronium fraxinifolium, investigated through parentage analysis and microsatellite loci, revealed that a large proportion of pollen (76.5 %) and seeds (57 %) immigrated from trees outside the sampled populations and the dispersion followed a pattern of isolation by distance (Manoel et al. 2021).

Amazon Forest biome

In this biome were recorded ten studies (26.3 %) using microsatellite markers in forest tree species. Bertholletia excelsa was the most studied species with six studies. Cabral et al. (2017) assessed the genetic diversity of a B. excelsa population and observed high genetic diversity (H_O = 0.512; H_E = 0.491) and no inbreeding. The analysis of half-sib progenies from different B. excelsa trees, by Giustina et al. (2017), revealed greater genetic diversity between families than among progenies from the same family. In studying the mating system in a B. excelsa population, Giustina et al. (2018) observed that outcrossing rates varied between trees (0.49-1.0) and fruits (0.53-1.0), but seeds were predominantly produced by outcrossing (0.92). Martins et al. (2018) observed moderate genetic diversity and high seed-dispersal distances in B. excelsa populations. Studying two B. excelsa populations, Vieira et al. (2019) found 70 alleles, H_O was 0.43 and H_E was 0.82. The analysis of the genetic diversity of B. excelsa revealed greater genetic diversity between populations than within populations, allelic variation ranged from four to nine alleles, and heterozygosity ranged from 0.32 to 0.80 (Baldoni et al. 2020).

The analysis of the genetic diversity and population structure of three Genipa americana populations revealed 17 alleles, the expected heterozygosity ranged from 0.35 to 0.67 and remained higher than the observed heterozygosity. The populations presented high inbreeding (F_IS = 0.40), probably because of fragmentation (Ruzza et al. 2018).

In studying the effects of fragmentation on the genetic structure of Theobroma speciosum populations, Dardengo et al. (2018) found that most of the genetic diversity was distributed within groups (83 %), which means that no significant effect of fragmentation was observed. However, given the small number of reproductive individuals in the population, the authors warned that the process of continuous fragmentation might increase inbreeding and favor genetic drift, leading populations to inbreeding depression and diversity loss.

In another study, SSR markers used to analyzed the genetic diversity of five Hymenaea courbaril populations detected 10.29 alleles per locus, H_E and H_O averaged 0.85 and 0.29 per locus, respectively (Rocha et al. 2019).

The genetic diversity and structure analysis of Caryocar villosum revealed low inbreeding (F_IS = 0.127; F_IT = 0.173) and low differentiation between regions (F_ST = 0.06). Most of the variation (89 %) was found to occur within regions (Francisconi et al. 2021).

Caatinga biome

In Caatinga, only two studies (5.3 %) were found in our search. Freitas et al. (2019) found low levels of genetic diversity (two alleles per locus and H_E = 0.181) and inbreeding (F_IS = -0.007) for Prosopis palida and Prosopis juliflora, suggesting the presence of genetic bottleneck and probable events of founders.

The diversity and genetic structure analysis of Spondias tuberosa accessions resulted in similarity coefficients from 0.30 to 0.84, indicating the existence of divergence among the accessions which can be used to increase the germplasm bank genetic diversity of this species (Santos et al. 2021).

Pantanal biome

Only two studies (5.3 %) with microsatellites were recorded in Pantanal, one of which was performed also in Cerrado. Microsatellites employed by Alves et al. (2018a) in collections of Prosopis rubriflora and Prosopis ruscifolia from Cerrado and Pantanal resulted in similar levels of genetic diversity for both species (H_E = 0.59 and H_E = 0.60 respectively) and there was evidence of genetic bottleneck in 64 % of P. rubriflora sampled area and in 36 % of P. rusciflia sampled areas.

In a study of the reproductive system of Prosopis rubriflora, Alves et al. (2018b) found that the species is preferably allogamous and the obtained progeny was composed predominantly by half-sibs (79 %). Coancestry coefficients ranged from 0.158 to 0.162 and there were high levels of crossings due to several mechanisms that prevent selfing.

Discussion

The Fabaceae family was the most studied in the Brazilian biomes. This finding is supported by the fact that Fabaceae is among the richest families in most Brazilian ecosystems. According to Lima et al. (2015), there are 222 native genera and 2807 species. In the Caatinga, for example, this family constitutes about a third of the richness of the biome with 86 genera and 320 species (Córdula et al. 2014).

Regarding the evolution of the number of studies published within the analyzed period, there was a trend of increase until 2018. However, the studies decreased in 2019 and 2020, coincidently, during the COVID-19 pandemic outbreak. This period was characterized by lower allocation of research resources and increased socio-political tension in Brazil. The syndemic theory by Merrill Singer could explain the negative effect of COVID-19 on researchers productivity (Singer 1996). In 2021, probably, due to the vaccination process and the return of many activities, the publications returned to growing.

Considering the importance of microsatellites and the growing need for genetic studies in Brazilian biomes, there were expected more studies for a five-year period. However, forest species are low studied in Brazil because they are neglected. On the other hand, the need for prior knowledge of the species genome limits the use of this class of molecular markers in genetic analysis. Thus, the abundance of alternative molecular markers, which are more accessible, may have contributed to the less use of microsatellites in genetic analyzes in Brazilian biomes.

Despite these limitations, research that uses microsatellites is important due to the quality of the information accessed, mainly in terms of genomic coverage, codominance characteristics and heritability.

Most of the studies were performed in the Atlantic Forest biome, while Pampa and Pantanal are the biomes with less studies. In general, the genetic diversity decreased in all biomes, primarily due to anthropic activities, according to the authors. In addition, the use of microsatellites was helpful to propose proper alternatives for conservation. However, there was a lack of standardization of the genetic diversity statistics. For example, Berti et al. (2017) considered H_O = 0.618 and H_E = 0.715 as moderate genetic diversity, while Cabral et al. (2017) considered H_O = 0.512 and H_E = 0.491 high genetic diversity. The probable reasons for this discrepancy may be the life history traits of each species and the heterogeneity between ecosystems. For example, Pantanal has richer ecosystems than Caatinga and Pampa.

Most of the genetic diversity in all biomes is distributed within groups. This pattern is consistent with the predominance of allogamy in the plant kingdom (Bawa et al. 1985) and the gene exchange allows recombination, increasing the genetic diversity within groups.

In spite of fragmentation, the studies ratified the role of gene flow in connecting isolated populations, thus preventing the loss of genetic diversity in the Brazilian biomes. In fact, allowing gene flow among populations of a species is one successful alternative to reduce the negative effects associated with small populations such as inbreeding and genetic drift. It is supported by studies carried out to compare disturbed and undisturbed areas, in which disturbance did not affect genetic diversity when high levels of gene flow were observed (Costa et al. 2017; Sujii et al. 2017; Gandara et al. 2019). According to Hellberg et al. (2002), gene flow is essential in connecting reproductively isolated populations, thereby reducing genetic differentiation among them. The studies ratified the predominance of crossing in the tropical forest tree species (Sobierajski et al. 2006). Although most of the flowering plants in nature are hermaphrodite, many species developed mechanisms, such as self-incompatibility, to prevent selfing in order to allow gene exchange and avoid gene erosion (Bawa et al. 1985; Sobierajski et al. 2006).

Final remarks

Our research highlighted the prominent contribution of microsatellites in genetic studies in the Brazilian forest biomes as well as for genetic conservation. In general, the studies reinforce that human activities are reducing genetic diversity in the Brazilian biomes. In addition, the studies ratified the role of gene flow in connecting isolated populations, thus reducing the probability of species extinction. Thus, in order to slow down the loss of genetic diversity, it is recommended to maintain a large number of individuals and allow connectivity among isolated fragments.

References

• Alves FM, Sartori ALB, Zucchi MI, Azevedo-Tozzi AMG, Tambarussi EV, Souza AP. 2018b. A high level of outcrossing in the vulnerable species Prosopis rubriflora in a Chaco remnant. Australian Journal of Botany 66: 360-368.
• Alves FM, Sartori ÂLB, Zucchi MI, Azevedo-Tozzi AMG, Tambarussi EV, Alves-Pereira A, de Souza AP. 2018a. Genetic structure of two Prosopis species in Chaco areas: A lack of allelic diversity diagnosis and insights into the allelic conservation of the affected species. Ecology and Evolution 8: 6558-6574.
• Araujo FL, Siqueira MV, Grando C, Viana JP, Pinheiro JB, Alves-Pereira A et al 2017. Genetic diversity of Casearia sylvestris populations in remnants of the Atlantic Forest. Genetics and Molecular Research 16: gmr16019105.
• Baldoni AB, Teodoro LPR, Teodoro PE et al 2020. Genetic diversity of Brazil nut tree (Bertholletia excelsa Bonpl.) in southern Brazilian Amazon. Forest Ecology and Management 458: 117795.
• Bawa KS, Perry DR, Beach JH. 1985. Reproductive biology of tropical lowland rain forest trees. I. Sexual systems and incompatibility mechanisms. American Journal of Botany 72: 331-345.
• Berti CLF, Kamada T, Moraes MA, Alves PF, Silva AM, Moraes MLT, Berti MPS 2017. Diversidade genética de populações naturais de Dipteryx alata localizadas nos municípios de Brasilândia/MS, Indiara/GO e Itarumã/GO estimada por marcadores microssatélites. Cultura Agronômica 26: 203-216.
• Boaventura-Novaes CRD, Novaes E, Mota EES, Telles MPC, Coelho ASG, Chaves LJ. 2018. Genetic drift and uniform selection shape evolution of most traits in Eugenia dysenterica DC. (Myrtaceae). Tree Genetics & Genomes 14:76.
• Cabral JC, Baldoni AB, Tonini H, Azevedo VCR, Giustina LD, Tiago AV, Rossi AAB. 2017. Diversity and genetic structure of the native Brazil nut tree (Bertholletia excelsa Bonpl.) population. Genetics and Molecular Research 16: gmr16039702.
• Chaves LJ, Ganga RMD, Guimarães RA, Caldeira AJR. 2020. Quantitative and molecular genetic variation among botanical varieties and subpopulations of Hancornia speciosa Gomes (Apocynaceae). Tree Genetics & Genomes 16: 50.
• Córdula E, Morim MP, Alves M. 2014. Morfologia de frutos e sementes de Fabaceae ocorrentes em uma área prioritária para a conservação da Caatinga em Pernambuco, Brasil. Rodriguésia 65: 505-516.
• Cortelete MA, Silva Júnior AL, Pereira MLS, Miranda FD, Caldeira MVW. 2021. Molecular characterization as strategy for ex situ conservation of Anadenanthera peregrina (L.) Speg. Scientia Forestalis 49: e3443.
• Costa MF, Pereira AA, Pinheiro JB et al 2017. Chloroplast diversity of Casearia grandiflora in the Cerrado of Piauí State. Genetics and Molecular Research 16: gmr16019572.
• Dardengo JFE, Rossi AAB, Varella TL. 2018. The effects of fragmentation on the genetic structure of Theobroma speciosum (Malvaceae) populations in Mato Grosso, Brazil. Revista de Biología Tropical 66: 218-226.
• Feres JM, Nazareno AG, Borges LM, Guidugli MC, Bonifacio-Anacleto F, Alzate-Marin AL. 2021. Depicting the mating system and patterns of contemporary pollen flow in trees of the genus Anadenanthera (Fabaceae). PeerJ 9:e10579.
• Francisco PM, Tambarussi EV, Alves FM, Bajay S, Ciampi-Guillardi M, Souza AP. 2018. Genetic diversity and mating system of Rhizophora mangle L. (Rhizophoraceae) in Northern Brazil revealed by microsatellite analysis. Cerne 24: 295-302.
• Francisconi AF, Alves RP, Clement CR, Dequigiovanni G, Carvalho IAS, Veasey EA. 2021. Genetic structure and diversity identify incipient domestication of Piquiá [Caryocar villosum (Aubl.) pers.] along the lower Tapajós River, Brazilian Amazonia. Genetic Resources and Crop Evolution 68: 1487-1501.
• Franklin AB, Noon BR, George TL. 2002. What is habitat fragmentation? Studies in Avian Biology 25: 20-29.
• Freitas LS, Melo CAF, Gaiotto FA, Ronan X, Corrêa RX. 2019. SSR based genetic diversity analysis in diploid algaroba (Prosopis spp.) population. Journal of Agricultural Science 11: 179-190.
• Gandara FB, Da-Silva PR, de Moura TM et al 2019. The effects of habitat loss on genetic diversity and population structure of Cedrela fissilis Vell. Tropical Plant Biology 12: 282-292.
• Garcia AAF, Benchimol LL, Barbosa AMM, Geraldi IO, Souza Jr CL, Souza AP. 2004. Comparison of RAPD, RFLP, AFLP and SSR markers for diversity studies in tropical maize inbred lines. Genetics and Molecular Biology 27: 579-588.
• Garrido-Cardenas JA, Mesa-Valle C, Manzano-Agugliaro F. 2018. Trends in plant research using molecular markers. Planta 247: 543-557.
• Giustina LD et al 2017. Genetic diversity between and within half-sib families of Brazil nut tree (Bertholletia excelsa Bonpl.) originating from native forest of the Brazilian Amazon. Genetics and Molecular Research 16 (4): gmr16039839. doi: 10.4238/gmr16039839
  » https://doi.org/10.4238/gmr16039839
• Giustina LD, Baldoni AB, Tonini H, Azevedo VCR, Neves LG, Tardin FD, Sebbenn AM. 2018. Hierarchical outcrossing among and within fruits in Bertholletia excelsa Bonpl. (Lecythidaceae) open-pollinated seeds. Genetics and Molecular Research 17: gmr16039872.
• Guimarães RA, Miranda KMC, Mota EES, Chaves LJ, Telles MPC, Soares TN. 2019. Assessing genetic diversity and population structure in a Dipteryx alata germplasm collection utilizing microsatellite markers. Crop Breeding and Applied Biotechnology 19: 329-336.
• Hellberg ME, Burton RS, Neigel J, Palumbi SR. 2002. Genetic assessment of connectivity among marine populations. Bulletin of Marine Science 70: 273-290.
• Jump AS, Marchant RA, Penuelas J. 2009. Environmental change and the option value of genetic diversity. Trends in Plant Science 14: 51-58.
• Lima HC, Queiroz LP, Morim MP et al 2015. Fabaceae. In: Lista de Espécies da Flora do Brasil. Jardim Botânico do Rio de Janeiro. http://floradobrasil.jbrj.gov.br/jabot/floradobrasil/FB115 20 Jun. 2022.
  » http://floradobrasil.jbrj.gov.br/jabot/floradobrasil/FB115
• Litt M, Luty JA. 1989. A hypervariable microsatellite revealed by in vitro amplification of a dinucleotide repeat within the cardiac muscle actin gene. The American Journal of Human Genetics 44: 397-401.
• Manoel RO, Freitas MLM, Furlani Junior E et al 2017. Low levels of pollen and seed flow in a riparian forest fragment of the dioecious tropical tree Genipa americana L. Forestry Research and Engineering: International Journal 1: 18-27.
• Manoel RO, Rossini B, Cornacini MR et al 2021. Landscape barriers to pollen and seed flow in the dioecious tropical tree Astronium fraxinifolium in Brazilian savannah. PLoS One 16: e0255275.
• Martins K, Santos RSO, Campos T, Wadt LHO. 2018. Pollen and seed dispersal of Brazil nut trees in the southwestern Brazilian Amazon. Acta Amazonica 48: 217-223.
• Moraes MA, Kubota TYK, Rossini BC et al 2018. Long-distance pollen and seed dispersal and inbreeding depression in Hymenaea stigonocarpa (Fabaceae: Caesalpinioideae) in the Brazilian savannah. Ecology and Evolution 8: 7800-7816.
• Muniz AC, Lemos-Filho JP, Souza HA et al 2020. The protected tree Dimorphandra wilsonii (Fabaceae) is a population of inter-specific hybrids: recommendations for conservation in the Brazilian Cerrado/Atlantic Forest ecotone. Annals of Botany 126: 191-203.
• Petry VS, Stefenon VM, Machado LO, da Costa NCF, Klabunde GHF, Nodari RO. 2021. Patterns of genetic diversity, spatial genetic structure and gene flow in Campomanesia xanthocarpa: insights from SSR markers of different genomic origins. Anais da Academia Brasileira de Ciências 93: e20210134.
• Potascheff CM, Oddou-Muratorio S, Klein EK et al 2019. Stepping stones or stone dead? Fecundity, pollen dispersal and mating patterns of roadside Qualea grandiflora Mart. trees. Conservation Genetics 20: 1355-1367.
• Rocha VD, Bispo RB, Pedri ECM, Cardoso ES, Zortéa KEM, Rossi AAB. 2019. Genetic diversity of Hymenaea courbaril L. in the Mato Grosso Amazon: implications for conservation. Floresta 49: 745-754.
• Ruzza DAC, Rossi AAB, Bispo RB, Tiago AV, Cochev JS, Rossi FS, Fernandes JM. 2018. The genetic diversity and population structure of Genipa Americana (Rubiaceae) in Northern Mato Grosso, Brazil. Genetics and Molecular Research 17: gmr18017.
• Santos AS, Borges DB, Vivas CV, Berg CVD, Rodrigues PS, Tarazi R, Gaiotto FA. 2019. Gene pool sharing and genetic bottleneck effects in subpopulations of Eschweilera ovata (Cambess.) Mart. ex Miers (Lecythidaceae) in the Atlantic Forest of southern Bahia, Brazil. Genetics and Molecular Biology 42: 655-665.
• Santos V, Santos CAF, de Oliveira VR, Costa AES, da Silva FFS. 2021. Diversity and genetic structure of Spondias tuberosa (Anacardiaceae) accessions based on microsatellite loci. Revista de Biología Tropical 69: 640-648.
• Schwarcz KD, Silvestre EA, Campos JB et al 2018. Shelter from the storm: Restored populations of the neotropical tree Myroxylon peruiferum are as genetically diverse as those from conserved remnants. Forest Ecology and Management 410: 95-103.
• Silva KB, Reiniger LRS, Serrote CML, Rabaiolli SMS, Stefenon VM, Costa LS, Ziegler ACF. 2021. Variabilidade genética de fragmentos naturais de Luehea divaricata Mart. & Zucc. no bioma Mata Atlântica. Biodiversidade Brasileira 11: 4-11.
• Silvestre EA, Schwarcz KD, Grando C et al 2018. Mating system and effective population size of the overexploited Neotropical tree (Myroxylon peruiferum L.f.) and their impact on seedling production. Journal of Heredity 109: 264-271.
• Singer M. 1996. A dose of drugs, a touch of violence, a case of AIDS: Conceptualizing the SAVA syndemic. Free Inquiry in Creative Sociology 24: 99-110.
• Sobierajski GR, Kageyama PY, Sebbenn AM. 2006. Sistema de reprodução em nove populações de Mimosa scabrella Bentham (Leguminosaceae). Scientia Forestalis 71: 37-49.
• Souza FB, Kubota TYK, Tambarussi EV et al 2018. Historic pollen and seed dispersal in fragmented populations of the two largest trees of the Atlantic Forest. Forestry Research and Engineering: International Journal 2: 98-107. DOI: 10.15406/freij.2018.02.00033
  » https://doi.org/10.15406/freij.2018.02.00033
• Stefanel CM, Reiniger LRS, Serrote CML, Stefenon VM, Lemos RPM. 2021. Variability and genetic structure in fragments of Eugenia involucrata De Candolle established through microsatellite markers. Ciência Rural 51: e20200008.
• Sujii OS, Schwarcz KD, Grando C, Silvestre EA, Mori GM, Brancalion PHS, Zucchi MI. 2017. Recovery of genetic diversity levels of a Neotropical tree in Atlantic Forest restoration plantations. Biological Conservation 211: 110-116.
• Velasques J, Crispim BA, Vasconcelos AA, Bajay MM, Cardoso CAL, Barufatti A, Vieira MC. 2021. Genetic and chemodiversity in native populations of Schinus terebinthifolia Raddi along the Brazilian Atlantic forest. Scientific Reports 11: 20487.
• Vieira FS, Rossi AA, Pena GF et al 2019. Genetic diversity of Brazil-nut populations naturally occurring in the municipality of Alta Floresta, MT, Brazil. Genetics and Molecular Research 18: gmr18174.
• Wang X, Yang S, Chen Y et al 2018. Comparative genome-wide characterization leading to simple sequence repeat marker development for Nicotiana. BMC Genomics 19: 500.

Publication Dates

• Publication in this collection
  24 Mar 2023
• Date of issue
  2023

History

• Received
  06 July 2022
• Accepted
  14 Jan 2023