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Genetics and Molecular Biology

Print version ISSN 1415-4757

Genet. Mol. Biol. vol.37 no.4 Ribeirão Preto Oct./Dec. 2014  Epub Nov 03, 2014

https://doi.org/10.1590/S1415-47572014005000019 

DNA barcoding in Atlantic Forest plants: what is the best marker for Sapotaceae species identification?

 

 

Caio Vinicius VivasI; Ramiris César Souza MoraesI; Anderson Alves-AraújoII; Marccus AlvesIII; Eduardo Mariano-NetoIV, Cássio van den BergV; Fernanda Amato GaiottoI

IDepartamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus, BA, Brazil
IIDepartamento de Ciências Agrárias e Biológicas, Universidade Federal do Espírito Santo, São Mateus, ES, Brazil
IIIDepartamento de Botânica, Universidade Federal de Pernambuco, Recife, PE, Brazil
IVInstituto de Biologia, Universidade Federal da Bahia, Salvador, BA, Brazil
VDepartamento de Ciências Biológicas, Universidade Estadual de Feira de Santana, Feira de Santana, BA, Brazil

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ABSTRACT

The Atlantic Forest is a phytogeographic domain with a high rate of endemism and large species diversity. The Sapotaceae is a botanical family for which species identification in the Atlantic Forest is difficult. An approach that facilitates species identification in the Sapotaceae is urgently needed because this family includes threatened species and valuable timber species. In this context, DNA barcoding could provide an important tool for identifying species in the Atlantic Forest. In this work, we evaluated four plant barcode markers (matK, rbcL, trnH-psbA and the nuclear ribosomal internal transcribed spacer region -ITS) in 80 samples from 26 species of Sapotaceae that occur in the Atlantic Forest. ITS yielded the highest average interspecific distance (0.122), followed by trnH-psbA (0.019), matK (0.008) and rbcL (0.002). For species discrimination, ITS provided the best results, followed by matK, trnH-psbA and rbcL. Furthermore, the combined analysis of two, three or four markers did not result in higher rates of discrimination than obtained with ITS alone. These results indicate that the ITS region is the best option for molecular identification of Sapotaceae species from the Atlantic Forest.

Keywords: internal transcribed spacer, taxonomy, tree species, tropical forest.


 

 

Introduction

Tropical regions harbor a substantial portion of the worlds biodiversity and some of the most diverse and threatened biomes on the planet. The Atlantic Forest is the second largest tropical forest in South America, with an original coverage of ~1.5 million km2, of which only 11.4-16% remains (Ribeiro et al., 2009). The Atlantic Forest is considered a hotspot of biodiversity (Myers et al., 2000) and it is comprised of highly diverse plants, with 16,146 species recorded, of which 7,524 are endemic (Forzza et al., 2010). Among the taxa that occur in the Atlantic Forest and have difficulties for species identification stands the Sapotaceae. This family consists of 53 genera and approximately 1,250 species with a pantropical distribution, most of which are found in tropical rainforests (Pennington, 1990). Many Sapotaceae species provide economically important products such as latex (used in the production of chewing gum), wood and fruits for human consumption (Pennington, 1990). Several species in this family also provide important resources for the animal biota, such as the golden-headed lion tamarin (Leontopithecus chrysomelas) that relies on some Sapotaceae species for food and shelter (Oliveira et al., 2010).

The phenomena of supra-annual flowering and vegetative intraspecific morphological variation mean that flower and fruit analysis is necessary for correct identification of many Sapotaceae species. However, obtaining specimens with intact floral structures is not always possible because of the ephemeral nature of flowers from some species (Terra-Araujo et al., 2012). Therefore, additional methods, e.g., molecular tools, need to be developed to assist in traditional identification. In this context, the DNA barcode, which is the use of short genomic regions that are standardized for quick, accurate species identification (Hebert et al., 2003a), has helped in molecular identification in several plant groups. This method is beneficial to ecologists and conservationists by allowing for the identification of samples when the use of traditional methods would be impossible (Hebert and Gregory, 2005).

A portion of the CO1 gene has been used successfully in the molecular identification of animal species (Hebert et al., 2003b). With regard to plant species, the rbcL and matK markers are recommended as DNA barcodes (CBOL Plant Working Group, 2009). However, these markers do not have good discriminatory power in some taxa (Du et al., 2011; Guo et al., 2011; Zhang et al., 2012); therefore, the use of additional markers, such as the nuclear ribosomal internal transcribed spacer (ITS) and trnH-psbA, is required. Li et al. (2011) proposed use of the ITS/ITS2 between regions that are formally recognized for their applicability in the molecular identification of seed plants, thereby highlighting the relevance of this marker. The ITS region is a good marker for phylogenetic studies in Sapotaceae (Bartish et al., 2005; Swenson et al., 2007, 2008), and Gonzalez et al. (2009) indicated that the ITS can be helpful in the identification of species in this family. However, the efficiency of different barcode markers for the molecular identification of Sapotaceae species has not been widely tested.

In this study, we evaluated the efficiency of the plastid markers matK, rbcL and trnH-psbA and the nuclear ribosomal ITS region for the identification of Sapotaceae species from the Atlantic Forest.

 

Materials and Methods

Fourteen Atlantic Forest fragments were sampled in the Brazilian state of Bahia (Figure 1). Eighty individuals representing 26 Sapotaceae species were collected (1-7 samples per species). All of the samples were identified to species level and voucher specimens were deposited in the CEPEC (Herbário do Centro de Pesquisas do Cacau) or ALCB (Herbário Alexandre Leal Costa) Herbaria (Table S1).

DNA was extracted according to the protocol established by Doyle and Doyle (1987) using approximately 50 mg of leaf tissue from each sample. Two recommended markers (matK and rbcL) and two suggested markers used as additional barcode markers for land plants (ITS and trnH-psbA) were amplified (Table 1). For PCR amplification of ITS, matK and rbcL the reaction mixture consisted of 1x buffer (GoTaq, Promega), dNTPs (0.2 mM), primers (0.5 /M each), bovine serum albumin (BSA; 0.1 mg/mL), 1 unit of Taq DNA polymerase (GoTaq, Promega), DNA (10 ng) and ultra-pure water to a final volume of 20 /L. For matK and rbcL, the following PCR program was used: 94 ºC for 2 min 30 s followed by 10 cycles at 94 ºC for 30 s, 56 ºCfor 30 s, 72 ºC for 30 sand25cycles at 88 ºC for 30 s, 56 ºC for 30 s and 72 ºC for 30 s with an additional cycle at 72 ºC for 10 min (Elisa Suganuma pers. comm.). For the ITS region, the conditions used were: 95 ºC for 5 min, followed by 35 cycles at 95 ºC for 30 s, 50 ºC for 30 s and 72 ºC for 90 s with an additional cycle at 72 ºC for 8 min (Bartish et al., 2005). For trnH-psbA amplification, the PCR mix consisted of 1x buffer (GoTaq, Promega), dNTPs (0.2 mM), primers (0.5 µM each), BSA (0.375 mg/mL), 1 unit of Taq DNA polymerase (GoTaq, Promega), DNA (10 ng) and ultra-pure water to a final volume of 15 /L. The PCR program consisted of 94 ºC for 2.5 min followed by 35 cycles at 94 ºC for 30 s, 56 ºC for 30 s and 64 ºC for 1 min with an additional cycle at 64 ºC for 10 min. Samples that showed weak band patterns were amplified using a Top Taq Master Mix kit (Qiagen) following the manufacturer's recommendations and using the same amplification programs described above. The PCR products were purified by precipitation with polyethylene glycol (10% PEG 8000, 2.5 M NaCl) and sequenced in both directions using a Big Dye Terminator kit, version 3.1 (Applied Biosystems, Foster City, CA, USA) and an ABI 3130XL automated sequencer.

The sequences were edited using the Staden package (Staden et al., 1999) and submitted to GenBank (Table S1). The alignment was done using Muscle (Edgar, 2004) in conjunction with the Mega5 program (Tamura et al., 2011). All of the sequences were examined visually for possible errors in editing and alignment, and manual adjustments were made when necessary.

The success of the PCR and sequencing was assessed according to Li et al. (2011). Pairwise distances were calculated in Mega5 (Tamura et al., 2011) using the Kimura 2-parameter model (Kimura, 1980) to assess intra-and inter-species differences. We compared the interspecific pairwise divergences between species for single and combined analyses with different markers, using permutation procedures for comparison between means with 10,000 permutations. To evaluate species discrimination, the criteria "Best Match" and "Best Close Match" implemented in the program TaxonDNA (Meier et al., 2006) and neighbor-joining analyses (Saitou and Nei, 1987) were done using single or different combinations of regions. Combined analyses were done only for samples in which the four regions were successfully sequenced. Only species for which multiple specimens were sequenced were used for the analyses in TaxonDNA and the threshold for "Best Close Match" was calculated for each region (single and combined analyses) using the "Pairwise Summary" function. In neighbor-joining (NJ) analyses, the successful discrimination of species was assessed by considering the specific monophyletic groups for species for which multiple specimens were sequenced and that showed bootstrap values; 70%. The NJ analyses were done in Mega5 (Tamura et al., 2011) using the Kimura 2-parameter model (Kimura, 1980) and pairwise-deletion for indels. Internal support for the branches was calculated using the bootstrap method with 1000 replicates (Felsenstein, 1985).

 

Results

Seventy-two ITS sequences were obtained for 24 Sapotaceae species, 78 matK sequences for 26 species, 80 rbcL sequences for 26 species and 69 trnH-psbA sequences for 25 species of Sapotaceae. The primers for these markers displayed high amplification rates for Sapotaceae (Table 2). In the sequencing reactions, rbcL and matK gave the best results, followed by ITS and trnH-psbA. All of the markers produced matrices > 500 bp in size after the sequences were aligned. Indels were found for ITS, matK and trnH-psbA (Table 2). In the interspecific pairwise comparisons (single and combined analyses), the ITS region was the most divergent and the rbcL region the least divergent (p < 0.01) (Figure S1 and Table S2). The average interspecific distance calculated based on the ITS region was 40 times greater than the intraspecific distance. The overlap between intra-and interspecific distances in plastid markers was quite pronounced, whereas in ITS these distances were not pronounced. Figure 2 shows the genetic comparisons of the intra-and interspecific divergences.

For identification at the species level, the ITS performed the best among all of the markers tested (Table 3). The matK had the second best performance, followed by trnH-psbA and rbcL. In the combined analyses, none of the combinations outperformed the ITS in single analyses. Combinations involving ITS showed the same performance, whereas the matK/rbcL combination proposed by CBOL Plant Working Group (2009) performed poorly (Table 3).

Based on NJ analyses, the ITS identified the following species: Chrysophyllum splendens, Diploon cuspidatum, Ecclinusa ramiflora, Manilkara longifolia, M. salzmannii, Micropholis crassipedicellata, M. gardneriana, M. guyanensis, Pouteria bangii, P. glauca, P. macahensis, P. reticulata and Pradosia lactescens, representing 13 monophyletic groups that were supported by high bootstrap values (Figure 3). Only Manilkara maxima, M. multifida, Pouteria caimito and P. guianensis were not discriminated using this phylogenetic method (Figure 3). The species Pouteria cuspidata, P. egreria, P. durlandii, P. grandiflora and Micropholis venulosa showed high levels of divergence and were distinct from other Sapotaceae species for which multiple specimens were analyzed (Figure 3).

 

 

Discussion

The successful discrimination of plant species using the regions proposed for DNA barcoding by CBOL Plant Working Group (2009) may vary in plants (Hollingsworth et al., 2009; Newmaster and Ragupathy, 2009; Zhang et al., 2012). Depending on the taxon in question, the use of additional markers may be needed for discrimination (CBOL Plant Working Group, 2009). This is particularly relevant to the Sapotaceae, in which the plastid markers do not have particularly good resolution. Despite having a lower performance than matK and rbcL in sequencing reactions, the ITS showed high specific resolution.

Desirable features for DNA barcoding include the universality of primers, success in sequencing, and species discrimination (Kress et al., 2005; CBOL Plant Working Group, 2009; Hollingsworth et al., 2011). In this work, all of the tested markers showed high rates of amplification. With regard to the sequences obtained, the rbcL marker was the most effective, supporting the findings of Ren et al. (2010) and Gu et al. (2011). This result was closely matched by matK, which failed in only one sample. Importantly, we observed that the lower performance of trnH-psbA compared to the other markers resulted from the difficulty in sequencing this marker in Sapotaceae, probably because of the presence of mononucleotide repeats (> 10 bp) that undermined the sequencing reactions. Devey et al. (2009) reported the occurrence of these repeats in many species and demonstrated how these microsatellites interfere in obtaining high quality sequences, exactly as observed here. For ITS, the success rate for sequencing was reasonable but lower than for the matK and rbcL markers. However, the ITS was highly discriminatory and useful for the molecular identification of Sapotaceae species.

The most desirable characteristic of DNA barcoding is successful species discrimination. Based on this criterion, the ITS was useful in the Sapotaceae because of its high interspecific distances and low values in intraspecific comparisons. In addition, the ITS region showed little overlap between the intra-and interspecific Kimura 2-parameter distances, culminating in high specific resolution. NJ analyses showed that only four species (M. maxima, M. multifida, P. caimito and P. guianensis) were not identified using ITS-derived data. This result suggests recent divergence beyond retaining ancestral polymorphisms for the ITS in original populations and may limit its usefulness for species identification in these cases. In addition, low rates of divergence may be observed in some groups of tree species because of the long generation time, resulting in lower rates of mutation (Kay et al., 2006).

Manilkara salzmannii showed great phenotypic plasticity in vegetative characters despite high values of intraspecific divergence. The high values of intraspecific divergence observed in P. reticulata, coupled with the large phenotypic plasticity of its vegetative characters, suggests that this group may represent a complex of species, but this hypothesis requires further studies. The species Chromolucuma apiculata and Pouteria gardneri (both sustained based on morphological characters) showed very low divergence (0.5%), indicating that they may belong to the same genus; this could reflect homoplasy in the morphological characters used to delimit the genus Chromolucuma.

In a preliminary analysis of a portion of the ITS region, Yoccoz et al. (2012) reported that this region was more efficient in discriminating Sapotaceae species than plastid markers. Furthermore, Gonzalez et al. (2009) indicated the potential of ITS for molecular identification of Sapotaceae species in the Amazon region. Our results corroborate those of Ren et al. (2010) for Alnus spp., Yan et al. (2011) for Primula spp., Guo et al. (2011) for Hedyotis spp., and Du et al. (2011) for Potamogetonaceae. In these studies, the ITS region showed good discrimination of species. For example, Singh et al. (2012) reported a specific resolution of 100% using samples of the genus Dendrobium, indicating that in some cases this region alone is sufficient for the molecular identification of plant species.

The plastid markers trnH-psbA, matK and rbcL had a weaker performance compared with ITS alone, with low interspecific distances, and overlaps with intraspecific distances (Figure 2). For example, in Manilkara, no species were identified with these markers. The low success in identifying species using plastid markers limits their usefulness for molecular identification in Sapotaceae. This result can be explained by the low mutation rate observed for this genome compared with the nuclear genome (Wolfe et al., 1987). In the combined analyses, the combination proposed by CBOL (matK+rbcL) performed poorly as a plant barcode, as did other combinations that did not include the ITS. Combined analyses using ITS worked successfully but were never superior to the individual ITS analyses. This finding further strengthens the potential usefulness of ITS by itself as a plant barcode for future work with Sapotaceae.

Taxonomic status is an essential consideration in adopting the appropriate conservation strategies and management plan for a given species. The use of the ITS by itself for the molecular identification of Sapotaceae species provides new opportunities for studies involving species of this family, with the possibility of easier and faster identification from sterile material. In view of estimates that > 50% of the species in this family are not yet known to science (Joppa et al., 2010), this technique may help troubleshoot specific taxonomic problems and be useful in the initial screening of potential new species for further taxonomic characterization. Based on the results of this study, we suggest the ITS region as the best option for the molecular identification of Sapotaceae species in the Atlantic Forest, and highlight the potential of this marker for the identification of other species of this family. The use of an integrated taxonomic approach for studying the Sapotaceae should help uncover the hidden diversity in this family.

 

Acknowledgments

We thank José Lima da Paixão, Dr. Roberto Tarazi, Veracel Celulose S.A., Reserva Ecológica da Michelin, Instituto de Estudos Sócio-Ambientais do Sul da Bahia (IESB) and Secretaria do Meio Ambiente de Ilhéus-BA for support in the field. We thank Dary Rigueira MSc and Marília Mascarenhas MSc for providing samples, Dr. Elisa Suganuma for tips on obtaining plastid sequences, Dr. Leandro L. Loguercio for suggestions on the manuscript, the Instituto Chico Mendes de Biodiversidade (ICMBIO) and Instituto do Meio Ambiente e Recursos Hídricos da Bahia (INEMA) for providing collection authorizations, UESC (grant PROPP#00220.1100.876) and FAPESB (grant PNX0014/2009) for financing the project, and CNPq, FAPESB and CAPES for the scholarships granted to FAG, CB, RCSM and CVV.

 

References

Bartish IV, Swenson U, Munzinger J and Anderberg AA (2005) Phylogenetic relationships among New Caledonian Sapotaceae (Ericales): Molecular evidence for generic polyphyly and repeated dispersal. Am J Bot 92:667-673.         [ Links ]

CBOL Plant Working Group (2009) A DNA barcode for land plants. Proc Natl Acad Sci USA 106:12794-12797.         [ Links ]

Devey DS, Chase MW and Clarkson JJ (2009) A stuttering start to plant DNA barcoding: Microsatellites present a previously overlooked problem in non-coding plastid regions. Taxon 58:7-15.         [ Links ]

Doyle JJ and Doyle JL (1987) A rapid DNA isolation procedure for small amounts of fresh leaf tissue. Phytochem Bull 19:11-15.         [ Links ]

Du ZY, Qimike A, Yang CF, Chen JM and Wang QF (2011) Testing four barcoding markers for species identification of Potamogetonaceae. J Syst Evol 49:246-251.         [ Links ]

Edgar RC (2004) Muscle: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32:1792-1797.         [ Links ]

Fazekas AJ, Burgess KS, Kesanakurti PR, Graham SW, Newmaster SG, Husband BC, Percy DM, Hajibabaei M and Barrett SCH (2008) Multiple multilocus DNA barcodes from the plastid genome discriminate plant species equally well. PLoS One 3:e2802.         [ Links ]

Felsenstein J (1985) Confidence limits on phylogenies: An approach using the bootstrap. Evolution 39:783-791.         [ Links ]

Forzza RC, Baumgratz JFA, Bicudo CEM, Canhos DAL, Carvalho Jr AA, Costa A, Costa DP, Hopkins M, Leitman PM, Lohmann LG, et al. (2010) Síntese da diversidade brasileira. In: Forzza RC, Baumgratz JFA, Bicudo CEM, Carvalho Jr AA, Costa A, Costa DP, Hopkins M, Leitman PM, Lohmann LG, Maia LC, et al. (eds) Catálogo de Plantas e Fungos do Brasil. Vol. 1. Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, Rio de Janeiro, pp 21-42.         [ Links ]

Gonzalez MA, Baraloto C, Engel J, Mori SA, Pétronelli P, Riéra B, Roger A, Thébaud C and Chave J (2009) Identification of Amazonian trees with DNA barcodes. PLoS One 4:e7483.         [ Links ]

Gu J, Su JX, Lin RZ, Li RQ and Xiao PG (2011) Testing four proposed barcoding markers for the identification of species within Ligustrum L. (Oleaceae). J Syst Evol 49:213-224.         [ Links ]

Guo X, Simmons MP, But PPH, Shaw PC and Wang RJ (2011) Application of DNA barcodes in Hedyotis L. (Spermacoceae, Rubiaceae). J Syst Evol 49:203-212.         [ Links ]

Hebert PDN and Gregory TR (2005) The promise of DNA barcoding for taxonomy. Syst Biol 54:852-859.         [ Links ]

Hebert PDN, Cywinska A, Ball SL and deWaard JR (2003a) Biological identifications through DNA barcodes. Phil Trans R Soc Lond B Biol Sci 270:313-321.         [ Links ]

Hebert PDN, Ratnasingham S and deWaard JR (2003b) Barcoding animal life: Cytochrome c oxidase subunit 1 divergences among closely related species. Phil Trans R Soc Lond B Biol Sci 270:96-99.         [ Links ]

Hollingsworth ML, Andra Clark A, Forrest LL, Richardson J, Pennington RT, Long DG, Cowan R, Chase MW, Gaudeul M and Hollingsworth PM (2009) Selecting barcoding loci for plants: Evaluation of seven candidate loci with species-level sampling in three divergent groups of land plants. Mol Ecol Resour 9:439-457.         [ Links ]

Hollingsworth PM, Graham SW and Little DP (2011) Choosing and using a plant DNA barcode. PLoS One 6:e19254.         [ Links ]

Joppa LN, Roberts DL and Pimm SL (2010) How many species of flowering plants are there? Phil Trans R Soc Lond B Biol Sci 278:554-559.         [ Links ]

Kay KM, Whittall JB and Hodges SA (2006) A survey of nuclear ribosomal internal transcribed spacer substitution rates across angiosperms: An approximate molecular clock with life history effects. BMC Evol Biol 6:e36.         [ Links ]

Kimura M (1980) A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 15:111-120.         [ Links ]

Kress WJ and Erickson DL (2007) A two-locus global DNA barcode for land plants: The coding rbcL gene complements the non-coding trnH-psbA spacer region. PLoS One 2:e508.         [ Links ]

Kress JW, Wurdack KJ, Zimmer EA, Weigt LA and Janzen DH (2005) Use of DNA barcodes to identify flowering plants. Proc Natl Acad Sci USA 102:8369-8374.         [ Links ]

Li DZ, Gao LM, Li HT, Wang H, Ge XJ, Liu JQ, Chen ZD, Zhou SL, Chen S, Yang JB, et al. (2011) Comparative analysis of a large dataset indicates that internal transcribed spacer (ITS) should be incorporated into the core barcode for seed plants. Proc Natl Acad Sci USA 108:19641-19646.         [ Links ]

Meier R, Shiyang K, Vaidya G and Ng PKL (2006) DNA barcoding and taxonomy in Diptera: A tale of high intraspecific variability and low identification success. Syst Biol 55:715-728.         [ Links ]

Myers N, Mittermeier RA, Mittermeier CG, da Fonseca GAB and Kent J (2000) Biodiversity hotspots for conservation priorities. Nature 403:853-858.         [ Links ]

Newmaster SG and Ragupathy S (2009) Testing plant barcoding in a sister species complex of pantropical Acacia (Mimosoideae, Fabaceae). Mol Ecol Resour 9(s1):172-180.         [ Links ]

Oliveira LC, Hankerson SJ, Dietz JM and Raboy BE (2010) Key tree species for the golden-headed lion tamarin and implications for shade-cocoa management in southern Bahia, Brazil. Anim Conserv 13:60-70.         [ Links ]

Pennington TD (1990) Sapotaceae. Flora Neotropica Monograph 52. New York Botanical Garden Press, New York, 770 pp.         [ Links ]

Ren BQ, Xiang XG and Chen ZD (2010) Species identification of Alnus (Betulaceae) using nrDNA and cpDNA genetic markers. Mol Ecol Resour 10:594-605.         [ Links ]

Ribeiro MC, Metzger JP, Martensen AC, Ponzoni FJ and Hirota MM (2009) The Brazilian Atlantic Forest: How much is left, and how is the remaining forest distributed? Implications for conservation. Biol Conserv 142:1141-1153.         [ Links ]

Rydin C, Pedersen KR and Friis EM (2004) On the evolutionary history of Ephedra: Cretaceous fossils and extant molecules. Proc Natl Acad Sci USA 101:16571-16576.         [ Links ]

Saitou N and Nei M (1987) The neighbor-joining method: A new method for reconstructing evolutionary trees. Mol Biol Evol 4:406-425.         [ Links ]

Sang T, Crawford DJ and Stuessy TF (1997) Chloroplast phylogeny, reticulate evolution, and biogeography of Paeonia (Paeoniaceae). Am J Bot 84:1120-1136.         [ Links ]

Singh HK, Parveen I, Raghuvanshi S and Babbar SB (2012) The loci recommended as universal barcodes for plants on the basis of floristic studies may not work with congeneric species as exemplified by DNA barcoding of Dendrobium species. BMC Res Notes 7:e42.         [ Links ]

Staden R, Beal KF and Bonfield JK (1999) The Staden package, 1998. In: Misener S and Krawets SA (eds) Bioinformatics Methods and Protocols. Humana Press, Totowa, pp 115-130.         [ Links ]

Swenson U, Bartish I and Munzinger J (2007) Phylogeny, diagnostic characters and generic limitation of Australasian Chrysophylloideae (Sapotaceae, Ericales): Evidence from ITS sequence data and morphology. Cladistics 23:201-228.         [ Links ]

Swenson U, Richardson J and Bartish I (2008) Multi-gene phylogeny of the pantropical subfamily Chrysophylloideae (Sapotaceae): Evidence of generic polyphyly and extensive morphological homoplasy. Cladistics 24:1006-1031.         [ Links ]

Tamura K, Peterson D, Peterson N, Stecher G, Nei M and Kumar S (2011) MEGA5: Molecular Evolutionary Genetics Analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28:2731-2739.         [ Links ]

Tate JA and Simpson BB (2003) Paraphyly of Tarasa philippi (Malvaceae) and diverse origins of the polyploid species. Syst Bot 28:723-737.         [ Links ]

Terra-Araujo MH, Faria AD, Ribeiro JELS and Swenson U (2012) Flower biology and subspecies concepts in Micropholis guyanensis (Sapotaceae): Evidence of ephemeral flowers in the family. Aust Syst Bot 25:295-303.         [ Links ]

White TJ, Bruns T, Lee S and Taylor JW (1990) Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In: Innis MA, Gelfand DH, Sninsky JJ and White TJ (eds) PCR Protocols: A Guide to Methods and Applications. Academic Press, Inc., New York, pp 315-322.         [ Links ]

Wolfe KH, Li WH and Sharp PM (1987) Rates of nucleotide substitution vary greatly among plant mitochondrial, chloroplast, and nuclear DNAs. Proc Natl Acad Sci USA 84:9054-9058.         [ Links ]

Yan HF, Hao G, Hu CM and Ge XJ (2011) DNA barcoding in closely related species: A case study of Primula L. sect. Proliferae Pax (Primulaceae) in China. J Syst Evol 49:225-236.         [ Links ]

Yoccoz NG, Bråthen KA, Gielly L, Haile J, Edwards ME, Goslar T, Von Stedingk H, Brysting AK, Coissac E, Pompanon F, et al. (2012) DNA from soil mirrors plant taxonomic and growth form diversity. Mol Ecol 21:3647-3655.         [ Links ]

Zhang CY, Wang FY, Yan HF, Hao G, Hu CM and Ge XJ (2012) Testing DNA barcoding in closely related groups of Lysimachia L. (Myrsinaceae). Mol Ecol Resour 12:98-108.         [ Links ]

 

 

Send correspondence to:
Fernanda Amato Gaiotto
Departamento e Ciências Biológicas, Universidade Estadual de Santa Cruz
Rodovia Jorge Amado, Salobrinho
45662-900 Ilhéus, BA, Brazil
E-mail: gaiotto@uesc.br

Received: April 29, 2014
Accepted: July 15, 2014.

 

 

Supplementary Material

The following online material is available for this article:

Figure S1 -Boxplot of K2P distances between the Sapotaceae species considered in this study using ITS, matK, rbcL and trnH-psbA markers.

Table S1 -Voucher information and GenBank accession numbers for Sapotaceae species from the Atlantic Forest in southern Bahia.

Table S2 -Significance of pairwise comparisons for single and combined analyses with ITS, matK, rbcL and trnH-psbA,using interspecific pairwise K2P distances, obtained from the Sapotaceae species used in this study.

This material is available as part of the online article from http://www.scielo.br/gmb.

 

Data Access

NCBI GenBank accession numbers: JQ413809, JQ413811-JQ413829, JQ413832-JQ413943, JQ434137-JQ434187, JQ434189-JQ434198, JQ434200-JQ434250, JQ434254-JQ434261, KF943829-KF943871, KM036003-KM036006.

 

Supplementary Data

The supplementary data is available in pdf: [Supplementary data]

 

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