Development of microsatellite markers in Pterodon pubescens and transferability to Pterodon emarginatus, two Brazilian plant species with medicinal potential

Abstract

Pterodon pubescens and P. emarginatus (Leguminosae) are native medicinal plants of Brazil. Extractivism due to its therapeutic properties threatens populations of both species. Studies of genetic diversity is a way to reason the use and promote conservation. We developed microsatellite markers for P. pubescens and transferred them to P. emarginatus to further genetic diversity investigation of these species. From genomic sequences of P. pubescens, obtained via the Illumina MiSeq platform, it was possible to identify 6,514 microsatellite regions, to design 5,419 primer pairs, and to test 30 markers amplification. We provide 26 polymorphic microsatellite markers, 10 of which were genotyped in 48 individuals per species. The number of alleles per locus range from 3 to 16, with high average genetic diversity ( P. pubescens HE = 0.753; P. emarginatus HE = 0.691). The genotyped markers have a high paternity exclusion probability (Q values greater than 0.99) and low probability of identity, indicating that set of loci is capable of individual discriminating in P. pubescens and P. emarginatus. Microsatellite markers provided in this study are a tool for population genetics studies and conservation of the two species and can be applied to closely related non-model species.

Keywords:
genetic diversity; Illumina MiSeq; molecular markers; neotropical tree; “sucupira-branca”

Resumo

Pterodon pubescens e P. emarginatus (Leguminosae) são duas espécies de plantas nativas medicinais do Brasil. As populações têm sido ameaçadas pelo extrativismo para uso de suas propriedades terapêuticas. Estudos de diversidade genética ajudam a racionalizar o uso e a promover a conservação dessas espécies. Nós desenvolvemos marcadores microssatélites para P. pubescens e transferimos para P. emarginatus com intuito de permitir investigações futuras da diversidade genética das espécies. A partir de sequências genômicas de P. pubescens, obtidas via plataforma Illumina MiSeq, foi possível identificar 6.514 regiões microssatélites, desenhar 5.419 pares de primers, e testar a amplificação de 30 marcadores. Nós fornecemos 26 marcadores moleculares, 10 dos quais foram usados para genotipar 48 indivíduos de cada espécie. O número de alelos por locus variou de 3 a 16, com alta diversidade genética média para ambas as espécies ( P. pubescens HE = 0,753; P. emarginatus HE = 0,691). Os dez marcadores apresentaram boa probabilidade de exclusão de falsa paternidade (com valores acima de 0,99) e baixos valores de probabilidade de identidade, indicando que esse conjunto é adequado para discriminar indivíduos em P. pubescens e P. emarginatus. Os marcadores microssatélites desenvolvidos neste trabalho representam uma ferramenta promissora para estudos de genética de populações e conservação das duas espécies e podem, eventualmente, ser aplicados a espécies não-modelos filogeneticamente próximas.

Palavras-chave:
diversidade genética; Illumina MiSeq; marcadores moleculares; árvores neotropicais; “sucupira-branca”

Introduction

Pterodon pubescens Benth. ( Bentham 1860) and P. emarginatus Vogel ( Vogel 1837) (Leguminosae) are allogamous tree species popularly known in Brazil as “sucupira-branca”. Both species are diploid with 16 chromosomes ( Bandel 1974; Coleman & DeMenezes 1980; Albernaz 2020). They occur in phytogeographic domains of the Amazon, Caatinga, Cerrado, Atlantic Forest and Pantanal ( Lima & Lima 2015; Carvalho et al. 2020 ). In regions of both species contact natural hybrids arise. Despite that, hybridization seems to be a rare event. Morphological and molecular traits data support two clearly distinct species. The species identification is performed mainly by leaflets shape and flowers color ( Rocha 2006). The species names are Pterodon pubescens, for pink flowers trees, and P. emarginatus for purple flowers trees. In addition, P. polygalaeflorus (Benth.) Benth. is a synonym of P. emarginatus ( Carvalho et al. 2020 ).

Both species are economically important due to their medicinal use. They have pharmacological properties such as anti-inflammatory, analgesic, anti-tumor, and antimicrobial ( Araújo et al. 2015 ; Santos et al. 2018 ). Herbal medicine laboratories growing interest in P. pubescens and P. emarginatus contributes to increased extractivism, predisposing these species to genetic diversity loss. Despite that, these species were not evaluated for extinction threat degree by Flora do Brasil 2020 ( Carvalho et al. 2020 ), only P. emarginatus was evaluated by IUCN as Least Concern ( IUCN 2021). Thus, the study of the genetic diversity of uncultivated medicinal species has become indispensable for their conservation ( Rao & Hodgkin 2002; Hodel et al. 2016 ).

Genetic diversity can be assessed by different genetic approaches, such as single nucleotide polymorphism (SNPs) and simple sequence repeats (SSR), also known as microsatellite markers. Few genetic studies involving species of Pterodon can be found in the literature, as the transferability of a few microsatellite markers from Phaseolus vulgaris L. and Dipteryx alata Vogel to Pterodon ( Soares et al. 2012 ; Santana 2014; Araújo et al. 2015 ). Furthermore, there are no specifically developed microsatellite markers for Pterodon.

Specific microsatellite markers are necessary to better investigate genetic diversity and population structure of P. pubescens and P. emarginatus. High- Throughput Sequencing technologies (HTS) have facilitated the development of molecular markers for non-model species ( Metzker 2010; Zalapa et al. 2012 ). These sequencing platforms allow the generation of large amounts of DNA sequences that can be used for assembling genomic sequences and identifying microsatellite regions. This strategy allows relatively fast, low cost and efficient development of microsatellite markers ( Taheri et al. 2018 ).

Efficient assessment of microsatellite regions using HTS has been applied to non-model Leguminosae plants for molecular markers generation. For example, Guimarães et al. (2017 ) identified 11 microsatellite loci for Dipteryx alata Vog. (Leguminosae), an important genetic food resource in the Brazilian Cerrado. Beyer et al. (2019 ), developed nine polymorphic microsatellite markers for Stizophyllum riparium (Kunth) Sandwith (Bignoniaceae), which were successfully transferred to two species of the same genus, S. inaequilaterum (Kunth) Sandwith and S. perforatum (Cham.) Miers. The aim of the present work was to assess P. pubescens genome through HTS of DNA, to develop and characterize microsatellite loci as markers and test their transferability to P. emarginatus. In doing so, SSR markers and molecular information will be made available to help expand knowledge about the genetic diversity and conservation of these species of the genus Pterodon.

Materials and Methods

Leaves were collected from an adult individual of P. pubescens in municipality of Goiânia, state of Goiás (GO), Brazil (LAT -16.577, LON -49.273), and deposited in the herbarium of the Universidade Federal de Goiás (Voucher: 61013). DNA was extracted using the CTAB 2% protocol ( Doyle & Doyle 1987) and genomic libraries were constructed following the Nextera DNA Library Preparation protocol (Illumina). Sequencing was performed with Illumina MiSeq using Miseq Reagent kit v3 (600 cycles) and sequences of low quality were removed using Trimmomantic ( Bolger et al. 2014 ). Clean reads were assembled using Dipspades software ( Safonova et al. 2014 ).

Identification of suitable microsatellite regions and primer design were performed using QDD software ( Meglécz et al. 2009 ). The minimum number of repeats was ten for dinucleotides, six for tetranucleotides and five for pentanucleotides; tri and hexanucleotide regions were not identified here. Microsatellite regions identified in unique genomic sequences (singletons) were used to design pairs of primers. The parameters used for primer design were amplicon size of 150–400 bp, GC ratio of 30–60%, melting temperature value (Tm in ºC) between 56 and 62 °C and primer lengths of 22–25 bp. After designing primers, regions associated with transposable elements were identified by QDD software and excluded from the analysis. Microsatellite regions with AT motifs were not selected for the development of markers. After these initial filters, 30 pairs of primers designed for microsatellite regions with the highest number of tandem repetitions were chosen for development of markers.

The 30 developed primer pairs were tested for effectiveness of amplification and polymorphic loci identification by polymerase chain reaction (PCR). We tested the amplification at different annealing temperatures in six individuals from six different populations of each species (see Tab. S1, available on supplementary material < https://doi.org/10.6084/m9.figshare.21355416.v1>). PCR reactions were prepared with a final volume of 10 μL, using 3 μL of DNA (2.5 ng/μL) and 3 μL of primers (forward + reverse at 0.9 μM), 0.9 μL of dNTPs (2.5 μM), 1.3 μL of BSA (bovine serum albumin, 25 mg/mL), 1 μL buffer (10 mM Tris-HCl [pH 8.3], 50 mM KCl, 1.5 mM MgCl2), 0.15 μL Taq polymerase (5 U; Phoneutria) and sterile milli-Q water to complete the reaction volume. The amplification reaction followed the steps: (1) DNA denaturation by heating at 94 ºC for five minutes; (2) 30 cycles of denaturation at 94 ºC for one minute; primer annealing (ranging from 54 ºC to 62 ºC, increasing 2 ºC in each PCR test amplification) for one minute and extension at 72 ºC for one minute; and (3) final extension at 72 ºC for 30 minutes. Polymorphic loci were identified by electrophoresis on 6% polyacrylamide gels, visualized by silver staining procedures ( Creste et al. 2001 ). Allele sizes were determined using the 10 bp DNA Ladder and the 50 bp DNA Ladder (Invitrogen ^TM).

Polymorphic markers with great polyacrylamide gel amplification profiles were selected for fluorescent labeling to develop multiplex genotyping panels. These panels were applied to 96 individuals of Pterodon, 48 per species. Forty-eight individuals of P. pubescens were sampled from two populations: twenty-four from Perdizes, Minas Gerais (MG; LAT -47.367, LON -19.351) and twenty-four from Caldas Novas, GO (LAT -48.62528, LON -17.74528). Forty-eight individuals of P. emarginatus were also sampled from two populations: twenty-four from Santa Rita do Novo Destino, GO (LAT -49,052, LON -14,812) and twenty-four from Porangatu, GO (LAT -49.19576, LON -13.51403). The individuals were genotyped in an ABI3500 Genetic Analyzer (Applied Biosystems) using the GeneScan 600 LIZ marker (Applied Biosystems). Genotypes were determined using GeneMapper software (Applied Biosystems). Micro-Checker software ( Oosterhout et al. 2004 ) was then used to detect errors due to stuttering, allele dropout, and null allele frequency for each locus.

Loci were characterized by estimating the average number of alleles per locus (A), observed heterozygosity ( H _O ), expected heterozygosity ( H _E ) under Hardy-Weinberg equilibrium and the intrapopulation fixation index. These parameters were estimated using Genetic Data Analysis software version 1.0 (GDA) ( Lewis & Zaykin 2001). The maximum diversity H _max for each population was calculated from the average number of alleles ( A) per population as H _max = ( A–1) / A, and the proportion of maximum diversity as H _E / H _max ( Hennink & Zeven 1991). Linkage disequilibrium was evaluated using the program FSTAT 2.9.3.2 ( Goudet 2002) with Bonferroni correction. The probability of paternity exclusion (Q) and the probability of genetic identity (I) were acquired with IDENTITY 1.0 software ( Wagner & Sefc 1999).

The genomic sequence data from P. pubescens used in development of microsatellite markers (accession number: MN822196–MN822225) and information from designed primers were deposited at the National Biotechnology Information Center (NCBI).

Results

A total of 9.45 million paired-end reads (4.8 Gb) were generated in the Illumina MiSeq platform. After quality control, 3.4 Gb of data were assembled on 138,319 scaffolds (117 Mb) with N50 equal to 870 bp. The assembled sequences were searched for microsatellite loci. A total of 1,511 microsatellite sequences were identified, with the vast majority being di- (1,154 or 76%) followed by tetra- (212 or 14%) and pentanucleotides (145 or 10%). The number of tandem repetitions in the microsatellite regions varied from five to 24, in which the maximum number of repetitions in tandem was 24 for di-, 10 for tetra- and eight for pentanucleotides. A total of 5,419 primer pairs were designed, of which 78% were for di-, 13% for tetra- and 9% for pentanucleotide microsatellites. Thus, an average of three pairs of primers per microsatellite region were designed. Thirty pairs of primers were selected for molecular markers containing di- and tetranucleotide repeats (Tab. S2, available on supplementary material < https://doi.org/10.6084/m9.figshare.21355416.v1>).

From the 30 primer pairs tested, 27 were successfully amplified, with a good shape of bands in the gels and alleles identified easily, for P. pubescens 26 loci showed positive cross- amplification to P. emarginatus. Annealing temperatures ranged from 54 to 60 ºC for P. pubescens and 50 to 59 ºC for P. emarginatus. Among the selected primers, only one locus (Pem08) was monomorphic in a sample of six P. pubescens individuals. All loci (26) were polymorphic for P. emarginatus using the same sample size of six individuals (Tab. S2, available on supplementary material < https://doi.org/10.6084/m9.figshare.21355416.v1>).

To improve the cost-benefit of genetic analysis, 10 of the 27 microsatellites loci that showed the best amplification patterns were combined into two multiplex sets ( Tab. 1). For the 10 markers, the number of alleles per loci in both species ranged from 3 to 16 (Tabs. S3; S4, available on supplementary material < https://doi.org/10.6084/m9.figshare.21355416.v1>), with a total number of 99 alleles for P. pubescens and 97 for P. emarginatus. The average number of alleles per population was similar between the two Pterodon species (9.90 for P. pubescens and 9.70 for P. emarginatus) (Tabs. S3; S4, available on supplementary material < https://doi.org/10.6084/m9.figshare.21355416.v1>).

Table 1 –
Panels of microsatellite markers for Pterodon pubescens and P. emarginatus, arranged in multiplex for genotyping in capillary electrophoresis.

Multiplex	Locus	Dye	Ta (0C)	Allelic amplitude
1	Pem05	6 FAM	54	141–157
	Pem21	6 FAM	56	250–308
	Pem15	PET	54	166–192
	Pem24	NED	54	172–198
	Pem26	NED	56	342–392
2	Pem23	6 FAM	54	316–344
	Pem10	6 FAM	54	196–220
	Pem18	NED	54	196–224
	Pem22	VIC	54	218–304
	Pem25	PET	54; 56*	282–358

• Ta = annealing temperature; Dye = fluorescent dyes; * = Ta in Pterodon emarginatus.

The average expected heterozygosity ( H _E ) of the markers was high for both P. pubescens ( H _E = 0.753) and P. emarginatus ( H _E = 0.691), which represents 83% ( H _max = 0.898) and 77% ( H _max = 0.896) of the maximum heterozygosity within these species ( Hennink & Zeven 1991). No significant linkage disequilibrium (p > 0.05) was identified. Significant deviation from HWE (p < 0.05) was observed for the Pem10 locus for both species, Pem22 for P. emarginatus and Pem25 and Pem18 for P. pubescens. No errors were detected due to stuttering and allele dropout. Null allele analysis indicated heterozygote deficiencies in P. pubescens for Caldas Novas - GO population (loci Pem10 and Pem25) and for P. emarginatus Porangatu - GO (loci Pem23, Pem10 and Pem22) and Santa Rita do Novo Destino - GO populations (loci Pem26 and Pem22) (Tabs. S3; S4, available on supplementary material < https://doi.org/10.6084/m9.figshare.21355416.v1>).

The 10 developed markers showed low values for the combined probability of genetic identity (I) in P. pubescens (1.40x10-9 and 6.86x10-12) and P. emarginatus (3.72x10-9 and 9.47x-10). Paternity exclusion (Q) was greater than 0.99 for both species (Tabs. S3; S4, available on supplementary material < https://doi.org/10.6084/m9.figshare.21355416.v1>).

Discussion

Sequencing and assembling the partial genome of P. pubescens allowed the identification of many di-, tetra- and pentanucleotide microsatellite regions, of which 30 were selected for development of specific microsatellite markers. Of these, ten markers successfully genotyped individuals of P. pubescens and transferred to P. emarginatus, and can be used for population genetics studies within the genus.

Tri- and hexanucleotide regions that are frequently found in coding regions of genomes were not identified in this study ( Ellegren 2004; Song et al. 2021 ). Pentanucleotide microsatellite regions of P. pubescens were not selected for markers development because they had repetition motifs rich in AT nucleotides and low numbers of tandem repetitions. Also, microsatellite regions rich in AT motifs can form a hairpin and decrease amplification efficiency during PCR and microsatellite regions with the highest numbers of tandem repetitions are more likely to be associated with genotypic variation ( Zalapa et al. 2012 ). Thus, these criteria described in the literature were followed to select the 30 microsatellite regions with high potential for development of markers.

Most of the tested primer pairs showed a good amplification pattern for P. pubescens and were successfully transferred to P. emarginatus. Successful transfer of microsatellite markers among evolutionarily closely-related species can be explained by the presence of conserved regions flanking the microsatellites ( FitzSimmons et al. 1995 ). Successful transferability was also verified by Garcia et al. (2011 ) when evaluating transferability between species of the family Leguminosae, with the highest rates of amplification occurring with species of the same genus. This explains the successful transferability found in the present study, considering that P. emarginatus and P. pubescens are evolutionarily closely-related species. Soares et al. (2012 ) found different results when testing cross amplification from Dipteryx alata to P. emarginatus, with a transferability rate of only 50%. The successful transfer of microsatellite markers from Phaseolus vulgaris to P. emarginatus was even lower: 539 pairs of primers were evaluated, of which 23 markers were transferred and only seven were polymorphic ( Santana 2014).

The high average number of alleles per locus identified in P. pubescens and P. emarginatus suggests that this set of markers was able to detect polymorphisms and, therefore, is a useful tool for genetics studies of these species. The number of alleles observed in the present study for Pterodon is greater than that reported by Guimarães et al. (2017 ), who developed microsatellite markers using HTS for one species ( Dipteryx alata) of the same family, which also has a mixed reproductive system ( Guimarães et al. 2019 ). The estimated maximum genetic diversity for P. pubescens (83%) and P. emarginatus (77%), are similar to other native Leguminosae, such as Dimorphandra mollis Benth. (79%) ( Souza et al. 2012 ) and Plathymenia reticulata Benth. (85%) ( Gong et al. 2012 ). This high genetic diversity represents the variety of alleles and genotypes found in this group of individuals evaluated for P. emarginatus and P. pubescens, showing that this set of available microsatellite markers can detect genetic variation, making it a promising tool for future population genetic studies.

The presence of null alleles, attributed to heterozygote deficiencies for some allele size classes, might explain the observed deviation from HWE in some loci. The null alleles represent the failure to amplify during PCR reaction caused by mutations in flanking primer regions ( Pompanon et al. 2005 ). However, another explanation for null alleles is the mating system, which can lead to inbreeding and heterozygote deficiencies ( Dakin & Avise 2004). Analysis with a larger number of populations and individuals may confirm this result.

Estimated combined probability of identity showed the ten markers suitable for discriminating individuals of these species. Detected values of paternity exclusion (Q) for both species of Pterodon represent high probabilities of exclusion of false paternity ( Weir & Evett 1998). These results, combined with the high values of genetic diversity and absence of linkage disequilibrium between loci, demonstrate the quality of the microsatellite markers set developed in the study.

In conclusion, this study developed 26 polymorphic microsatellite markers for P. pubescens and showed their successful transferability to P. emarginatus. The strategy of developing microsatellite markers using genomic sequencing and transferability within the same genus was efficient and can be used for the study of other non-model species. The new set of microsatellite markers of P. pubescens and P. emarginatus will be a valuable tool for the evaluation of genetic diversity and population structure and other evolutionary investigations in the genus Pterodon. Information on the genetic diversity of P. pubescens and P. emarginatus is important for the study of flora and the development of conservation strategies and rational use of these two species.

Acknowledgments

We acknowledge financial support by FAPEG/CNPq - PRONEM (Public Call Nº. 07/2016 - Programa de Apoio a Núcleos Emergentes, proc. 201710267000539) and MCTIC/CNPq Nº 28/2018 - Universal, proc. 431320/2018-7. This work is in the context of the Working Group on Genetics and Evolutionary Genomics of the Instituto Nacional de Ciência e Tecnologia (INCT) in Ecology, Evolution and Conservation of Biodiversity, funded by MCTIC/CNPq (process 465610/2014-5) and FAPEG. CPT and AMA are supported by postdoctoral grants from PNPD/CAPES. TNS is partially financed by a research productivity grant of Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

• Albernaz VB (2020) Citogenômica de Pterodon pubescens e citogenética comparativa com P. emarginatus (leguminosae). Dissertação de Mestrado. Universidade Federal de Goiás, Goiânia. 76p.
• Araújo LA, Assunção LA, Silva-Júnior NJ, Lemes SR & Reis PRM (2015) Angiogenic activity of sucupira (Pterodon emarginatus) oil. Scientia Medica 25: 130-136. DOI: 10.15448/1980-6108.2015.2.20351
  » https://doi.org/10.15448/1980-6108.2015.2.20351
• Bandel G (1974) Chromosome numbers and evolution in the leguminosae. Caryologia 27: 17-32. DOI: 10.1080/00087114.1974.10796558
  » https://doi.org/10.1080/00087114.1974.10796558
• Bentham G (1860) Synopsis of Dalbergieae, a tribe of Leguminosae. Botanical Journal of the Linnean Society 4: 1-128. < https://doi.org/10.1111/j.1095-8339.1860.tb02464.x>
  » https://doi.org/10.1111/j.1095-8339.1860.tb02464.x
• Beyer M, Nazareno AG & Lohmann LG (2019) Development of nuclear microsatellite markers in Stizophyllum (Bignoniaceae) using next-generation sequencing. Plant Genetic Resources 17: 382-385. < https://doi.org/10.1017/S1479262119000108>
  » https://doi.org/10.1017/S1479262119000108
• Bolger AM, Lohse M & Usadel B (2014) Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30: 2114-2120. < https://doi.org/10.1093/bioinformatics/btu170>
  » https://doi.org/10.1093/bioinformatics/btu170
• Carvalho CS, Cardoso DBOS & Lima HC (2020). Pterodon in Flora do Brasil 2020, continuously updated. Instituto de Pesquisas Jardim Botânico do Rio de Janeiro. Available at < http://floradobrasil.jbrj.gov.br/reflora/floradobrasil/FB29843>. Access on 8 November 2021.
  » http://floradobrasil.jbrj.gov.br/reflora/floradobrasil/FB29843
• Coleman JR & DeMenezes EM (1980) Chromosome numbers in Leguminosae from the state of Sao Paulo. Rhodora 82: 475-481.
• Creste S, Neto Tulmann A & Figueira A (2001) Detection of single sequence repeat polymorphisms in denaturing polyacrylamide sequencing gels by silver staining. Plant Molecular Biology Reporter 19: 299-306. < https://doi.org/10.1007/BF02772828>
  » https://doi.org/10.1007/BF02772828
• Dakin EE & Avise JC (2004) Microsatellite null alleles in parentage analysis. Heredity (Edinb) 93: 504-509. < https://doi.org/10.1038/sj.hdy.6800545>
  » https://doi.org/10.1038/sj.hdy.6800545
• Doyle JJ & Doyle JL (1987) A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin 19: 11-15.
• Ellegren H (2004) Microsatellites: simple sequences with complex evolution. Nature Reviews | Genetics 5: 435-445.
• FitzSimmons NN, Moritz C & Moore SS (1995) Conservation and dynamics of microsatellite loci over 300 million years of marine turtle evolution. Molecular Biology and Evolution 12: 432-40. < https://doi.org/10.1093/oxfordjournals.molbev.a040218>
  » https://doi.org/10.1093/oxfordjournals.molbev.a040218
• Flora do Brasil 2020 (continuously updated) Jardim Botânico do Rio de Janeiro. Available at < http://floradobrasil.jbrj.gov.br/>. Access on 9 November 2021.
  » http://floradobrasil.jbrj.gov.br/
• Garcia RAV, Rangel PN, Brondani C, Martins WS, Melo LC, Carneiro MS, Borba TCO & Brondani RPV (2011) The characterization of a new set of EST-derived simple sequence repeat (SSR) markers as a resource for the genetic analysis of Phaseolus vulgaris. BMC Genetics 12: 41. < https://doi.org/10.1186/1471-2156-12-41>
  » https://doi.org/10.1186/1471-2156-12-41
• Gong W, Duan T & Zhang D (2012) Development of microsatellite markers from Cercis chinensis (Fabaceae). American Journal of Botany 99: 337-339. < https://doi.org/10.3732/ajb.1200065>
  » https://doi.org/10.3732/ajb.1200065
• Goudet J (2002) FSTAT: a program to estimate and test gene diversities and fixation indices (version 2.9.4). Available at < https://www2.unil.ch/popgen/softwares/fstat.htm>. Access on 3 May 2021.
  » https://www2.unil.ch/popgen/softwares/fstat.htm
• Guimarães RA, Corrêa Miranda KM, Chaves LJ, Naves RV, Telles MPC & Soares TN (2019) Mating system and pollen dispersal in Dipteryx alata Vogel (Leguminosae): comparing in situ and ex situ conditions. Tree Genet Genomes 15: 28. < https://doi.org/10.1007/s11295-019-1337-6>
  » https://doi.org/10.1007/s11295-019-1337-6
• Guimarães RA, Telles MPC, Antunes AM, Corrêa KM, Ribeiro CVG, Coelho ASG & Soares TN (2017) Discovery and characterization of new microsatellite loci in Dipteryx alata vogel (Fabaceae) using next-generation sequencing data. Genetics and Molecular Research 16: 1-6. < http://dx.doi.org/10.4238/gmr16029639>
  » https://doi.org/10.4238/gmr16029639
• Hennink S & Zeven AC (1991) The interpretation of Nei and Shannon-Weaver within population variation indices. Euphytica 51: 235-240. <https://doi.org/10.1007/BF00039724>
• Hodel RGJ, Segovia-Salcedo MC, Landis JB, Crowl AA, Sun M, Liu X, Gitzendanner MA, Douglas NA, Germain-Aubrey CC, Chen S, Soltis DE & Soltis PS (2016) The report of my death was an exaggeration: a review for researchers using microsatellites in the 21st century. Applications in Plant Sciences 4: 1600025. < https://doi.org/10.3732/apps.1600025>
  » https://doi.org/10.3732/apps.1600025
• IUCN (2021) The IUCN Red List of Threatened Species. Version 2021-2. Available at < https://www.iucnredlist.org>. Access on 9 November 2021.
  » https://www.iucnredlist.org
• Lewis PO & Zaykin D (2001) Genetic data analysis: computer program for the analysis of allelic data (software). Available at < http://hydrodictyon.eeb.uconn.edu/people/plewis/downloads/gda-1.1.win32.zip>. Access on 3 May 2021.
  » http://hydrodictyon.eeb.uconn.edu/people/plewis/downloads/gda-1.1.win32.zip
• Lima HC & Lima IB (2015) Pterodon. In: Lista de espécies da flora do Brasil. In: Instituto de Pesquisas Jardim Botânico do Rio Janeiro, Rio de Janeiro.
• Meglécz E, Costedoat C, Dubut V, Gilles A, Malausa T, Pech N & Martin JF (2009) QDD: a user-friendly program to select microsatellite markers and design primers from large sequencing projects. Bioinformatics 26: 403-404. < https://doi.org/10.1093/bioinformatics/btp670>
  » https://doi.org/10.1093/bioinformatics/btp670
• Metzker ML (2010) Sequencing technologies - the next generation. Nature Reviews Genetics 11: 31-46. < https://doi.org/10.1038/nrg2626>
  » https://doi.org/10.1038/nrg2626
• Oosterhout CV, Hutchinson WF, Wills DPM & Shipley P (2004) MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes 4: 535-538. <https://doi.org/10.1111/j.1471-8286.2004.00684.x>
• Pompanon F, Bonin A, Bellemain E & Taberlet P (2005) Genotyping errors: causes, consequences and solutions. Nature Reviews Genetics 6: 847-859. < https://doi.org/10.1038/nrg1707>
  » https://doi.org/10.1038/nrg1707
• Rao VR & Hodgkin T (2002) Genetic diversity and conservation and utilization of plant genetic resources. Plant Cell, Tissue and Organ Culture 68: 1-19. < https://doi.org/10.1023/A:1013359015812>
  » https://doi.org/10.1023/A:1013359015812
• Rocha DMS (2006) Aspectos taxonômicos, genéticos e reprodutivos de Pterodon pubescens (Benth.) Benth. e P. emarginatus Vog.(Leguminosae, Dipteryxeae). Tese de Doutorado. Universidade Estadual de Campinas, Campinas. 117p.
• Safonova Y, Bankevich A & Pevzner PA (2014) DIPSPADES: assembler for highly polymorphic diploid genomes. In: Sharan R (eds) Research in Computational Molecular Biology. Lecture Notes Computer Science 8394: 265-279. < https://doi.org/10.1007/978-3-319-05269-4_21>
  » https://doi.org/10.1007/978-3-319-05269-4_21
• Santana A (2014) Transferibilidade e desenvolvimento de sistema multiplex de genotipagem de marcadores microssatélites para Pterodon emarginatus Vogel (Fabaceae). Dissertação de Mestrado. Universidade Federal de Goiás, Goiânia. 62p.
• Santos CBR, Silva Ramos R, Ortiz BLS, Silva GM, Giuliatti S, Balderas-Lopez JL, Navarrete A & Carvalho JCT (2018) Oil from the fruits of Pterodon emarginatus Vog.: a traditional anti-inflammatory. Study combining in vivo and in silico. Journal of ethnopharmacology 222: 107-120.
• Soares TN, Melo DBO, Resende LVI, Vianello RP, Chaves LJ, Collevatti RG & Telles MPC (2012) Development of microsatellite markers for the neotropical tree species Dipteryx alata (Fabaceae). American Journal of Botany 99: e72-3. < https://doi.org/10.3732/ajb.1100377>
  » https://doi.org/10.3732/ajb.1100377
• Song X, Yang Q, Bai Y, Gong K, Wu T, Pei Q, Duan W, Huang Z, Wang Z, Liu Z, Kang X, Zhao W & Ma X (2021) Comprehensive analysis of SSRs and database construction using all complete gene-coding sequences in major horticultural and representative plants. Horticulture Research 8: 122.
• Souza HAV, Collevatti RG, Lemos-Filho JP, Santos FR & Lovato MB (2012) Development of microsatellite markers for Dimorphandra mollis (Leguminosae), a widespread tree from the Brazilian cerrado. American Journal of Botany 99: 102-104. < https://doi.org/10.3732/ajb.1100413>
  » https://doi.org/10.3732/ajb.1100413
• Taheri S, Abdullah TL, Yusop MR & Hanafi MM (2018) Mining and development of novel SSR markers using Next Generation Sequencing (NGS). Molecules 23: 1-20. < https://doi.org/10.3390/molecules23020399>
  » https://doi.org/10.3390/molecules23020399
• Vogel TH (1837) Des Caesalpinieis Brasiliae. Linnaea 11: 384-385.
• Wagner HW, Sefc KM (1999) IDENTITY 1.0. Centre for Applied Genetics. University of Agricultural Sciences, Vienna.
• Weir BS & Evett IW (1998) Interpreting DNA evidence: statistical genetics for forensic scientists. Sinauer Associates, Sunderland. 278p.
• Zalapa JE, Cuevas H, Zhu H, Steffan S, Senalik D, Zeldin E, McCown B, Harbut R & Simon P (2012) Using next-generation sequencing approaches to isolate simple sequence repeat (SSR) loci in the plant sciences. American Journal of Botany 99: 193-208. < https://doi.org/10.3732/ajb.1100394>
  » https://doi.org/10.3732/ajb.1100394

Edited by

Area Editor:

Dra. Cassia Sakuragui

Publication Dates

• Publication in this collection
  21 Nov 2022
• Date of issue
  2022

History

• Received
  19 July 2021
• Accepted
  18 Apr 2022