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Molecular insight for baru Dipteryx alata (Fabaceae) populations based on novel SSRs

ABSTRACT

Baru tree (Dipteryx alata) is an arboreal, fruitful plant native to the Cerrado biome with an important socioeconomic impact. Populations of this species are a good model to study anthropogenic disturbances on the biome through the genetic information. In this study, we developed seven new polymorphic microsatellite markers for D. alata, using an enriched genomic library. We performed loci characterization in three populations, obtaining a total of 49 alleles, with an average of 5 to 5.57 alleles per locus. A significant content of polymorphic information was obtained, as indicated by the average expected heterozygosity (uHE), with a total average of 0.58 to 0.65 per locus. The average value of the observed heterozygosity (Ho) was also high, with a total average of 0.73 to 0.85 per locus. Some of the loci are in linkage disequilibrium, such as DalatG6 with DalatB3, DalatH3 and DalatB4. The estimate of the combined loci for the probability of paternity exclusion obtained an average value of 1.00 for all loci, and the average combined probability of identity, the values were (1.210^-5) to (4.410^-6). All markers are informative and suitable for studies on genetic diversity and population structure, aiming at the conservation and management of the species.

Keywords:
Baru tree; Dipteryx alata; genetic variability; molecular markers; microsatellites

Understanding patterns in which genetic variability is organized in populations is of fundamental importance for the development of conservation and sustainable use strategies for species and their habitats (Hoban et al. 2022Hoban S, Archer FI, Bertola LD et al. 2022. Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition. Biological Reviews 97: 1511–1538. doi: 10.1111/brv.12852
https://doi.org/10.1111/brv.12852...
). Dipteryx alata Vog. (Fabaceae), popularly known as baru tree, is a native tree species that has multiple uses ranging from human and animal food, to its pharmaceutical properties (Soares et al. 2008Soares TN, Chaves LJ, Telles MPC, Diniz-Filho JAF, Resende LV. 2008. Distribuição espacial da variabilidade genética intrapopulacional de Dipteryx alata. Pesquisa Agropecuária Brasileira 43: 1151-1158. doi: 10.1590/S0100-204X2008000900008
https://doi.org/10.1590/S0100-204X200800...
). It is an endemic species to the Cerrado biome, and due to its wide distribution throughout the area and abundance in several of its habitats (Canuto et al. 2008Canuto DSO, Silva AM, Moraes MA, Silva CLSP, Moraes MLT, Sá ME. 2008. Genetic variability of natural populations of Dipteryx alata Vog. by nutrients seeds content. Revista do Instituto Florestal 20: 89-97.), it has potential as a model to check the impact of human intervention on the environment, through the characterization of its diversity and genetic structure and the effective size of populations (Collevatti et al. 2013Collevatti RG, Telles MPC, Nabout JC, Chaves LJ, Soares TN. 2013. Demographic history and the low genetic diversity in Dipteryx alata (Fabaceae) from Brazilian Neotropical savannas. Heredity 111: 97–105. doi: 10.1038/hdy.2013.23
https://doi.org/10.1038/hdy.2013.23...
). For this, the microsatellite markers (SSR - Single Sequence Repeats) are considered great tools to access the genetic variability of populations due to their codominant inheritance, high degree of polymorphism, multi-allelic and high reproducibility properties (Cosson et al. 2014Cosson P, Decroocq V, Revers F. 2014. Development and characterization of 96 microsatellite markers suitable for QTL mapping and accession control in an Arabidopsis core collection. Plant Methods 10: 2. doi: 10.1186/1746-4811-10-2
https://doi.org/10.1186/1746-4811-10-2...
). Thus, this marker provides information on the long-term evolutionary history of species, mutation, isolation of the population, as well as the mechanisms of genetic drift, gene flow and selection (Allendorf 2017Allendorf FW. 2017. Genetics and the conservation of natural populations: Allozymes to genomes. Molecular Ecology 26: 420-430. doi: 10.1111/mec.13948
https://doi.org/10.1111/mec.13948...
).

Despite the importance of D. alata for the Cerrado, little is known about the genetic variability in populations (Soares et al. 2008Soares TN, Chaves LJ, Telles MPC, Diniz-Filho JAF, Resende LV. 2008. Distribuição espacial da variabilidade genética intrapopulacional de Dipteryx alata. Pesquisa Agropecuária Brasileira 43: 1151-1158. doi: 10.1590/S0100-204X2008000900008
https://doi.org/10.1590/S0100-204X200800...
; Soares et al. 2012Soares TN, Melo DB, Resende LV et al. 2012. Development of microsatellite markers for the neotropical tree species Dipteryx alata (Fabaceae). American Journal of Botany 99: 72-73. doi: 10.3732/ajb.1100377
https://doi.org/10.3732/ajb.1100377...
; Guimarães et al. 2017Guimarães RA, Telles MPC, Antunes AM et al. 2017. Discovery and characterization of new microsatellite loci in Dipteryx alata Vogel (Fabaceae) using next-generation sequencing data. Genetics and Molecular Research 16: gmr16029639. doi: 10.4238/gmr16029639
https://doi.org/10.4238/gmr16029639...
). Although specific SSR markers are already available (Soares et al. 2012Soares TN, Melo DB, Resende LV et al. 2012. Development of microsatellite markers for the neotropical tree species Dipteryx alata (Fabaceae). American Journal of Botany 99: 72-73. doi: 10.3732/ajb.1100377
https://doi.org/10.3732/ajb.1100377...
; Guimarães et al. 2017Guimarães RA, Telles MPC, Antunes AM et al. 2017. Discovery and characterization of new microsatellite loci in Dipteryx alata Vogel (Fabaceae) using next-generation sequencing data. Genetics and Molecular Research 16: gmr16029639. doi: 10.4238/gmr16029639
https://doi.org/10.4238/gmr16029639...
), these studies show a low level of polymorphism in loci, limiting the type of studies that can be carried out. Thus, in order to increase the coverage of loci representative of the genome, we developed and characterized a set of new microsatellite loci for D. alata. These markers have the potential to be used in population studies at various scales, in order to provide subsidies for the conservation and management of the species and its area of occupation.

For that purpose, we construct a microsatellite-enriched genomic library according to the protocol adapted from Billotte et al. (1999Billotte N, Lagoda PJL, Risterucci AM, Baurens FC. 1999. Microsatellite-enriched libraries: applied methodology for the development of SSR markers in tropical crops. Fruits 54: 277-288.). An individual of D. alata was chosen randomly at the Mário Viana Municipal Park, a Conservation Unit, located in the municipality of Nova Xavantina, state of Mato Grosso, Brazil, and total genomic DNA was extracted from young leaves using the commercial kit Plant DNeasy® (Qiagen). A sample of 5 µg DNA was digested with the restriction enzyme AfaI (Invitrogen). The digested fragments were ligated to specific adapters Rsa21 and Rsa25 using T4 DNA ligase and an enriched library was obtained by hybridization of probes with Biotin-IIIIII (CT)8 and Biotin-IIIIII (GT)8 and magnetic beads coated with streptavidin (MagneSphere Magnetic Separation Products; Promega Corporation, Madison, Wisconsin, EUA). The captured fragments were amplified by PCR, with the primer adapter Rsa21 (10µM), cloned into a pGEM-T Easy Vector (Promega, Madison, WI, USA), and then inserted into competent Escherichia coli cells 10H10b by electroporation. We selected positive clones using white/blue screening, and then we checked the presence and size of cloned inserts through PCR and a 2% agarose gel, then the best 48 clones were sequenced on an ABI 3500xL Genetic Analyzer (Applied Biosystems, Foster City, California, USA) using primers T7 and SP6, and BigDye Terminator version 3.1 Cycle Sequencing Kit (Perkin Elmer - Applied Biosystems).

Microsatellite regions were identified using SSRIT (The Simple Sequence Repeat Identification Tool) (Temnykh et al. 2001Temnykh S, DeClerck G, Lukashova A, Lipovich L, Cartinhour S, McCouch S. 2001. Computational and experimental analysis of microsatellites in Rice (Oryza sativa L.): Frequency, length variation, transposon associations, and genetic marker potential. Genome Research 11: 1441-1452. doi: 10.1101/gr.184001
https://doi.org/10.1101/gr.184001...
). The primer pairs were designed using the software primer3Plus (Untergasser et al. 2007Untergasser A, Nijveen H, Rao X, Bisseling T, Geurts R, Leunissen JAM. 2007. Primer3Plus, an enhanced web interface to Primer3. Nucleic Acids Research 35: 71-74. doi: 10.1093/nar/gkm306
https://doi.org/10.1093/nar/gkm306...
), with the following parameters: maximum primer size of 25 bp, annealing temperature of the primer (Tm) varying from 52 °C to 65 °C, minimum and maximum GC percentage of 40% and 60%, respectively, and amplification product range between 100 and 700 bp.

The microsatellite markers were characterized using 90 individuals of D. alata sampled in three populations in the Cerrado-Amazon transition region (Fig. S1Figure S1 - - Distribution of the sampled populations of D. alata in the municipalities of Nova Xavantina and Barra do Garças, state of Mato Grosso.), 30 individuals were collected from each population: 1) “BASC” population - natural population, with a history of anthropization (pasture area), located in the municipality of Nova Xavantina - MT (14° 67’ 78.5” S 52° 54’ 36.6” W); 2) “BAP” population - it is a conserved population, at the Bacaba Municipal Park (14° 70’ 82.7” S 52° 35’ 31.9” W); 3) “BAVC” population - is a young population, located in a restoration area carried out by manual direct seeding, located in the municipality of Barra do Garças - MT (14°87’ 64.0” S 52°11’ 81.4” W) (Fig. S1Figure S1 - - Distribution of the sampled populations of D. alata in the municipalities of Nova Xavantina and Barra do Garças, state of Mato Grosso.).

The total genomic DNA was extracted from young leaves using the cetyltrimethylammonium bromide (CTAB) method (Doyle 1991Doyle J. 1991. DNA Protocols for Plants. In: Hewitt GM, Johnston AWB, Young JPW (eds.). Molecular Techniques in Taxonomy. Berlin, Springer. p. 283-293.). PCR cocktail (20 µL) contained, 2.0 µL 10x PCR Buffer, 0.60 µL MgCl2 (50 mM), 1.6 µL DNTPs (0.2 mM each), 0.40 µL each primer (0.20 µM), 1 U Taq DNA Polymerase, 4.0 µL DNA (5ng/µL) and 10.8 µL milliQ H2O. To optimize the annealing temperature of the primer pairs, the amplification of fragments was performed in a Biocycler® thermocycler, following the steps described by (Soares et al. 2012Soares TN, Melo DB, Resende LV et al. 2012. Development of microsatellite markers for the neotropical tree species Dipteryx alata (Fabaceae). American Journal of Botany 99: 72-73. doi: 10.3732/ajb.1100377
https://doi.org/10.3732/ajb.1100377...
). The loci were subjected to the multiplex system, in which the forward primer was labeled with one of the following fluorescences (FAM, NED, VIC and ATTO565) and analyzed in an ABI 3500 automated sequencer (Applied Biosystems, Foster City, CA, USA).

For genotyping the loci, alleles were scored against the GeneScan-600 (LIZ) internal Size Standard Kit (Applied Biosystems, Foster City, CA, USA) using the Geneious 8.1.6 software (Kearse et al. 2012Kearse M, Moir R, Wilson A et al. 2012. Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28: 1647-1649. doi: 10.1093/bioinformatics/bts199
https://doi.org/10.1093/bioinformatics/b...
). Descriptive statistics were run in the GenAlex 6.5 software (Peakall and Smouse 2012Peakall R, Smouse PE. 2012. GenAlex 6.5: genetic analysis in Excel. Population genetic software for teaching and research - an update. Bioinformatics 28: 2537-2539. doi: 10.1093/bioinformatics/bts460
https://doi.org/10.1093/bioinformatics/b...
), in which the estimates of number of alleles per locus (N A ), observed heterozygosity (Ho), expected heterozygosity (uH E ) and fixation index (f) and the probability of identity (PI) and probability of paternity exclusion (PE) were evaluated. The FSTAT 2.9.3.2 software (Goudet 2001Goudet J. 2001. FSTAT, a program to estimate and test gene diversity and fixation indices (version 2.9.3). http://www2.unil.ch/popgen/softwares/fstat.htm.
http://www2.unil.ch/popgen/softwares/fst...
) was used to analyze the linkage disequilibrium between the loci.

Out of the 48 clones sequenced, 29% sequences contained microsatellite regions. The microsatellites found in these sequences were classified as perfect microsatellites, with dinucleotide-type repeat motifs, this motif is present in 100% microsatellites found in the library.

From the primer pairs designed, a set of 10 loci were selected for synthesis and validation (Tab. 1). Of these, seven loci were polymorphic and three were monomorphic in the evaluated populations. Similar parameters in the percentage of sequences obtained with genomic library construction was also observed in the protocol of Billotte et al. (1999Billotte N, Lagoda PJL, Risterucci AM, Baurens FC. 1999. Microsatellite-enriched libraries: applied methodology for the development of SSR markers in tropical crops. Fruits 54: 277-288.), which varied from 20 to 90% for tropical plant species. However, based on genetic diversity studies for D. alata (Soares et al. 2008Soares TN, Chaves LJ, Telles MPC, Diniz-Filho JAF, Resende LV. 2008. Distribuição espacial da variabilidade genética intrapopulacional de Dipteryx alata. Pesquisa Agropecuária Brasileira 43: 1151-1158. doi: 10.1590/S0100-204X2008000900008
https://doi.org/10.1590/S0100-204X200800...
; Soares et al. 2012Soares TN, Melo DB, Resende LV et al. 2012. Development of microsatellite markers for the neotropical tree species Dipteryx alata (Fabaceae). American Journal of Botany 99: 72-73. doi: 10.3732/ajb.1100377
https://doi.org/10.3732/ajb.1100377...
; Guimarães et al. 2017Guimarães RA, Telles MPC, Antunes AM et al. 2017. Discovery and characterization of new microsatellite loci in Dipteryx alata Vogel (Fabaceae) using next-generation sequencing data. Genetics and Molecular Research 16: gmr16029639. doi: 10.4238/gmr16029639
https://doi.org/10.4238/gmr16029639...
), this is the first to develop SSR markers using the microsatellite-enriched genomic library technique.

Table 1
Characteristics of the ten microsatellite loci developed for D. alata.

A total of 49 alleles were identified at the seven polymorphic loci, with the number of alleles per locus ranging from two at the locus (DalatB3) to twelve at the locus (DalatB4) (Tab. 2). The total average of alleles in the three populations ranged from 5 to 5.57 alleles per locus (Tab. 2). The observed heterozygosity ranged from 0.00 to 1.0 per loci depending on the sampled population, and the expected heterozygosity ranged from 0.34 to 0.74 per loci, with total averages ranging from 0.73 to 0.85 for H O and from 0.58 to 0.65 for uH E (Tab. 2). The observed heterozygosity (H O ) was greater than the expected heterozygosity (uHACKNOWLEDGEMENTS E ) for most loci, except for loci (DalatB3 and DalatB4). As a consequence, the fixation index (f) was negative for most loci, except for loci (DalatB3 and DalatB4), with total averages ranging from -0.15 to -0.28 (Tab. 2).

Table 2
Genetic parameters of microsatellite loci determined in three populations of D. alata.

The variation in the number of alleles per locus is common in microsatellite regions due to the high levels of polymorphism found in these markers (Ellegren 2004Ellegren H. 2004. Microsatellites: Simple sequences with complex evolution. Nature Reviews Genetics 5: 435-445. doi: 10.1038/nrg1348
https://doi.org/10.1038/nrg1348...
), which is directly related to the high mutation rates occurring in these regions (Gao et al. 2013Gao C, Ren X, Mason AS et al. 2013. Revisiting an important component of plant genomes: microsatellites. Functional Plant Biology 40: 645-661. doi: 10.1071/FP12325
https://doi.org/10.1071/FP12325...
). The H O > uH E relationship for most loci suggests an excess of heterozygotes in relation to that expected by the Hardy-Weinberg equilibrium. This excess of heterozygotes may be occurring due to the reproductive characteristics of the species or even due to a selection in favor of heterozygotes for D. alata (Gomes and Moura 2010Gomes CC, Moura T. 2010. Estrutura genética em populações de plantas do Cerrado. Revista Agrotecnologia 1: 33-51. doi: 10.12971/2179-5959.v01n01a03
https://doi.org/10.12971/2179-5959.v01n0...
), causing a lack of inbreeding for most loci (f values close to or less than zero). This result reveals the mixed mating system with a predominance of outcrossing found for D. alata (Tambarussi et al. 2017Tambarussi EV, Sebben AM, Alves-Pereira A et al. 2017. Dipteryx alata Vogel (Fabaceae), a neotropical tree with high levels of selfing: implications for conservation and breeding programs. Annals of Forest Research 60: 243–261. doi: 10.15287/afr.2017.842
https://doi.org/10.15287/afr.2017.842...
).

The probability of identity (PI) of each locus was estimated, which ranged from 0.12 (DalatB4, DalatC3 and DalatF6) to 0.75 (DalatB3), with average estimates of the combined analysis ranging from (1.210^-5) to (4.410^-6). The probability of paternity exclusion (PE), based on the seven pairs of microsatellite loci, ranged from 0.12 for locus (DalatB3) to 0.70 for locus (DalatB4), in the combined analysis, where no parent is known, the average value was 1.00 for all loci (Tab. 2). The set of microsatellite markers showed a low combined PI, indicating the probability of finding, by chance, two individuals from a sample with the same genotype in each set of markers is minimal (Val et al. 2020Val ADB, Breves SS, Cançado GMA, Ferreira JL, Pasqual M. 2020. Use of molecular markers SSR and SCAR for identification of olive accessions. Bioscience Journal 36: 1137-1145. doi: 10.14393/BJ-v36n4a2020-47959
https://doi.org/10.14393/BJ-v36n4a2020-4...
). The PE through the combined analysis for the developed SSR loci was high, providing high reliability to correctly exclude an individual from paternity (Rocha et al. 2018Rocha LL, Martinez AM, Delgado JV, Filho MAG, Ribeiro MN. 2018. Painel SRT para teste de paternidade em caprinos. Medicina Veterinária (UFRPE) 12: 52-61. doi: 10.26605/medvet-v12n1-2160
https://doi.org/10.26605/medvet-v12n1-21...
). The seven SSR loci were sufficient to distinguish between ninety individuals, indicating that the set of microsatellite markers is efficient in discriminating individuals in populations (Val et al. 2020Val ADB, Breves SS, Cançado GMA, Ferreira JL, Pasqual M. 2020. Use of molecular markers SSR and SCAR for identification of olive accessions. Bioscience Journal 36: 1137-1145. doi: 10.14393/BJ-v36n4a2020-47959
https://doi.org/10.14393/BJ-v36n4a2020-4...
).

According to the linkage disequilibrium (LD) test, most loci segregate independently, with no significant association between them, except only for pairs of loci (DalatG6 X DalatB3, DalatG6 X DalatH3, DalatG6 X DalatB4 and DalatB4 X DalatB5), for which the LD was significant even after Bonferroni correction (α = 0.0023809524) (Tab. S1Table S1 - - Linkage disequilibrium between pairs of microsatellite loci in D. alata.). This indicates that some of them were more correlated in the total sample population than would be expected with random crossover. Different biological factors can increase the LD, for example, small population size, low recombination rate, natural or artificial selection, population mixture, among others (Flint-Garcia et al. 2003Flint-Garcia SA, Thornsberry JM, Buckler ES. 2003. Structure of linkage disequilibrium in plants. Annual Review of Plant Biology 54: 357-374. doi: 10.1146/annurev.arplant.54.031902.134907
https://doi.org/10.1146/annurev.arplant....
). In our study, these observed LDs suggest they undergo selection, corroborating the revealed excess of heterozygotes (f < 0). However, further studies are required to consider such markers in LD as “blocked”.

The developed microsatellite markers have an expressive power of discrimination and gene diversity. Therefore, these new loci added to the number of SSR markers available for D. alata will contribute to a greater random sampling of the genome and, consequently, estimates of genetic variability with greater precision, more effectively contributing to the conservation of this species.

Acknowledgements

This work was financially supported by grants from the Partnerships for Forests (P4F-0641). RWLS received a scholarship by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES). FAO received a Postdoctoral fellowship from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP 2018/18527-9).

References

  • Allendorf FW. 2017. Genetics and the conservation of natural populations: Allozymes to genomes. Molecular Ecology 26: 420-430. doi: 10.1111/mec.13948
    » https://doi.org/10.1111/mec.13948
  • Billotte N, Lagoda PJL, Risterucci AM, Baurens FC. 1999. Microsatellite-enriched libraries: applied methodology for the development of SSR markers in tropical crops. Fruits 54: 277-288.
  • Canuto DSO, Silva AM, Moraes MA, Silva CLSP, Moraes MLT, Sá ME. 2008. Genetic variability of natural populations of Dipteryx alata Vog. by nutrients seeds content. Revista do Instituto Florestal 20: 89-97.
  • Collevatti RG, Telles MPC, Nabout JC, Chaves LJ, Soares TN. 2013. Demographic history and the low genetic diversity in Dipteryx alata (Fabaceae) from Brazilian Neotropical savannas. Heredity 111: 97–105. doi: 10.1038/hdy.2013.23
    » https://doi.org/10.1038/hdy.2013.23
  • Cosson P, Decroocq V, Revers F. 2014. Development and characterization of 96 microsatellite markers suitable for QTL mapping and accession control in an Arabidopsis core collection. Plant Methods 10: 2. doi: 10.1186/1746-4811-10-2
    » https://doi.org/10.1186/1746-4811-10-2
  • Doyle J. 1991. DNA Protocols for Plants. In: Hewitt GM, Johnston AWB, Young JPW (eds.). Molecular Techniques in Taxonomy. Berlin, Springer. p. 283-293.
  • Ellegren H. 2004. Microsatellites: Simple sequences with complex evolution. Nature Reviews Genetics 5: 435-445. doi: 10.1038/nrg1348
    » https://doi.org/10.1038/nrg1348
  • Flint-Garcia SA, Thornsberry JM, Buckler ES. 2003. Structure of linkage disequilibrium in plants. Annual Review of Plant Biology 54: 357-374. doi: 10.1146/annurev.arplant.54.031902.134907
    » https://doi.org/10.1146/annurev.arplant.54.031902.134907
  • Gao C, Ren X, Mason AS et al 2013. Revisiting an important component of plant genomes: microsatellites. Functional Plant Biology 40: 645-661. doi: 10.1071/FP12325
    » https://doi.org/10.1071/FP12325
  • Gomes CC, Moura T. 2010. Estrutura genética em populações de plantas do Cerrado. Revista Agrotecnologia 1: 33-51. doi: 10.12971/2179-5959.v01n01a03
    » https://doi.org/10.12971/2179-5959.v01n01a03
  • Goudet J. 2001. FSTAT, a program to estimate and test gene diversity and fixation indices (version 2.9.3). http://www2.unil.ch/popgen/softwares/fstat.htm
    » http://www2.unil.ch/popgen/softwares/fstat.htm
  • Guimarães RA, Telles MPC, Antunes AM et al 2017. Discovery and characterization of new microsatellite loci in Dipteryx alata Vogel (Fabaceae) using next-generation sequencing data. Genetics and Molecular Research 16: gmr16029639. doi: 10.4238/gmr16029639
    » https://doi.org/10.4238/gmr16029639
  • Hoban S, Archer FI, Bertola LD et al 2022. Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition. Biological Reviews 97: 1511–1538. doi: 10.1111/brv.12852
    » https://doi.org/10.1111/brv.12852
  • Kearse M, Moir R, Wilson A et al 2012. Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28: 1647-1649. doi: 10.1093/bioinformatics/bts199
    » https://doi.org/10.1093/bioinformatics/bts199
  • Peakall R, Smouse PE. 2012. GenAlex 6.5: genetic analysis in Excel. Population genetic software for teaching and research - an update. Bioinformatics 28: 2537-2539. doi: 10.1093/bioinformatics/bts460
    » https://doi.org/10.1093/bioinformatics/bts460
  • Rocha LL, Martinez AM, Delgado JV, Filho MAG, Ribeiro MN. 2018. Painel SRT para teste de paternidade em caprinos. Medicina Veterinária (UFRPE) 12: 52-61. doi: 10.26605/medvet-v12n1-2160
    » https://doi.org/10.26605/medvet-v12n1-2160
  • Soares TN, Chaves LJ, Telles MPC, Diniz-Filho JAF, Resende LV. 2008. Distribuição espacial da variabilidade genética intrapopulacional de Dipteryx alata Pesquisa Agropecuária Brasileira 43: 1151-1158. doi: 10.1590/S0100-204X2008000900008
    » https://doi.org/10.1590/S0100-204X2008000900008
  • Soares TN, Melo DB, Resende LV et al 2012. Development of microsatellite markers for the neotropical tree species Dipteryx alata (Fabaceae). American Journal of Botany 99: 72-73. doi: 10.3732/ajb.1100377
    » https://doi.org/10.3732/ajb.1100377
  • Tambarussi EV, Sebben AM, Alves-Pereira A et al 2017. Dipteryx alata Vogel (Fabaceae), a neotropical tree with high levels of selfing: implications for conservation and breeding programs. Annals of Forest Research 60: 243–261. doi: 10.15287/afr.2017.842
    » https://doi.org/10.15287/afr.2017.842
  • Temnykh S, DeClerck G, Lukashova A, Lipovich L, Cartinhour S, McCouch S. 2001. Computational and experimental analysis of microsatellites in Rice (Oryza sativa L.): Frequency, length variation, transposon associations, and genetic marker potential. Genome Research 11: 1441-1452. doi: 10.1101/gr.184001
    » https://doi.org/10.1101/gr.184001
  • Untergasser A, Nijveen H, Rao X, Bisseling T, Geurts R, Leunissen JAM. 2007. Primer3Plus, an enhanced web interface to Primer3. Nucleic Acids Research 35: 71-74. doi: 10.1093/nar/gkm306
    » https://doi.org/10.1093/nar/gkm306
  • Val ADB, Breves SS, Cançado GMA, Ferreira JL, Pasqual M. 2020. Use of molecular markers SSR and SCAR for identification of olive accessions. Bioscience Journal 36: 1137-1145. doi: 10.14393/BJ-v36n4a2020-47959
    » https://doi.org/10.14393/BJ-v36n4a2020-47959

Publication Dates

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

History

  • Received
    27 June 2022
  • Accepted
    01 Feb 2023
Sociedade Botânica do Brasil SCLN 307 - Bloco B - Sala 218 - Ed. Constrol Center Asa Norte CEP: 70746-520 Brasília/DF. - Alta Floresta - MT - Brazil
E-mail: acta@botanica.org.br