Development of genomic simple sequence repeat markers in faba bean by next-generation sequencing

Faba bean (Vicia faba L.) is an important food legume crop with a huge genome. Development of genetic markers for faba bean is important to study diversity and for molecular breeding. In this study, we used Next Generation Sequencing (NGS) technology for the development of genomic simple sequence repeat (SSR) markers. A total of 14,027,500 sequence reads were obtained comprising 4,208 Mb. From these reads, 56,063 contigs were assembled (16,367 Mb) and 2138 SSRs were identified. Mono and dinucleotides were the most abundant, accounting for 57.5 % and 20.9 % of all SSR repeats, respectively. A total of 430 primer pairs were designed from contigs larger than 350 nucleotides and 50 primers pairs were tested for validation of SSR locus amplification. Nearly all (96 %) of the markers were found to produce clear amplicons and to be reproducible. Thirty-nine SSR markers were then applied to 46 faba bean accessions from worldwide origins, resulting in 161 alleles with 87.5 % polymorphism, and an average of 4.1 alleles per marker. Gene diversity (GD) of the markers ranged from 0 to 0.48 with an average of 0.27. Testing of the markers showed that they were useful in determining genetic relationships and population structure in faba bean accessions.     

Development and Characterization of SSR Markers to Study Genetic Diversity and Population Structure of Horsegram Germplasm (<Emphasis Type="Italic">Macrotyloma uniflorum</Emphasis>)

Development of genomic resources in any crop is the pre-requisite for the construction of linkage map and implementation of molecular breeding strategies to develop superior cultivars. Large number of molecular markers are required to enrich the scanty information available in horsegram (Macrotyloma uniflorum).We employed the next-generation Illumina sequencing platform to develop a large number of microsatellite markers in this species. Of the total 23,305 potential SSRs motifs, 5755 primers were designed. Of these, 1425, 1310, 856, 1276, and 888 were of di-, tri-, tetra-, penta-, and hexa-nucleotide repeats respectively. Thirty polymorphic SSR primers and 24 morphological traits were used in 360 horsegram accessions to detect the genetic diversity and population structure. Thirty primers amplified 170 polymorphic alleles with an average of 5.6 alleles per primer having size 80 to 380 bp. The polymorphism information content (PIC) ranged from 0.15 to 0.76 with an average of 0.50, suggesting that SSR markers used in the study were polymorphic and suitable for characterization of horsegram germplasm. Dendrogram-based on Jaccard’s similarity coefficient and neighbor-joining tree grouped the horsegram accessions into two major clusters. Similarly, STRUCTURE analysis assigned genotypes into two gene pools namely Himalayan origin and Southern India. Diversity analysis based on 24 agro-morphological traits also suggested the presence of high level of diversity among the accessions.     

Genome-wide identification of simple sequence repeats and development of polymorphic SSR markers for genetic studies in tea plant (<Emphasis Type="Italic">Camellia sinensis</Emphasis>)

The tea plant (Camellia sinensis (L.) O. Kuntze) is one of the most popular non-alcoholic beverage crops worldwide. The availability of complete genome sequences for the Camellia sinensis var. ‘Shuchazao’ has provided the opportunity to identify all types of simple sequence repeat (SSR) markers by genome-wide scan. In this study, a total of 667,980 SSRs were identified in the ~?3.08 Gb genome, with an overall density of 216.88 SSRs/Mb. Dinucleotide repeats were predominant among microsatellites (72.25%), followed by trinucleotide repeats (15.35%), while the remaining SSRs accounted for less than 13%. The motif AG/CT (49.96%) and AT/TA (40.14%) were the most and the second most abundant among all identified SSR motifs, respectively; meanwhile, AAT/ATT (41.29%) and AAAT/ATTT (67.47%) were the most common among trinucleotides and tetranucleotides, respectively. A total of 300 primer pairs were designed to screen six tea cultivars for polymorphisms of SSR markers using the five selected repeat types of microsatellite sequences. The resulting 96 SSR markers that yielded polymorphic and unambiguous bands were further deployed on 47 tea cultivars for genetic diversity assessment, demonstrating high polymorphism of these SSR markers. Remarkably, the dendrogram revealed that the phylogenetic relationships among these tea cultivars are highly consistent with their genetic backgrounds or places of origin. The identified genome-wide SSRs and newly developed SSR markers will provide a powerful means for genetic researches in tea plant, including genetic diversity and evolutionary origin analysis, fingerprinting, QTL mapping, and marker-assisted selection for breeding.     

Assessment of genetic relationships between cultivated arracacha (<Emphasis Type="Italic">Arracacia xanthorrhiza</Emphasis> Bancr.) and its wild close relatives in the area of domestication using microsatellite markers

Arracacha (Arracacia xanthorrhiza Bancr.) is an asexual propagated root crop domesticated in the Andean highlands, which exists naturally with polycarpic and monocarpic forms. Wild A. xanthorrhiza are present in the area of domestication and can occasionally be mistaken in the same field for a crop or a weed. To study genetic relationships between cultivated arracacha and the wild forms, we surveyed the diversity of 178 plant samples at 11 microsatellite (SSR) loci. As expected, wild A. xanthorrhiza forms showed a significantly higher allelic diversity for all the examined SSR markers. The cultivated pool showed an excess of heterozygosity as opposed to a deficit found in the wild compartment. High Fst values and AMOVA analysis suggest that the cultivated variety has genetically differentiated from the wild forms and is more related to the wild polycarpic than to the monocarpic. Both the wild forms were well distinguished from the cultivars. Nevertheless, among a set of F1 experimental hybrids (cultivated?×?wild polycarpic), some other genotypes were revealed, also being admixed. Our results highlight a large genetic base available in the wild populations of A. xanthorrhiza with potential implications for the utilization and breeding of this promising crop.     

Comparative Analysis of SSR Markers Developed in Exon,Intron, and Intergenic Regions and Distributed in Regions Controlling Fruit Quality Traits in <Emphasis Type="Italic">Prunus</Emphasis> Species: Genetic Diversity and Association Studies

Simple sequence repeats (SSRs) are genome domains located in both coding and non-coding regions in eukaryotic genomes. Although SSRs are often characterized by low polymorphism, their DNA-flanking sequences could be a useful source of DNA markers, which could help in genetic studies and breeding because they are associated with genes that control traits of interest. In this study, 56 genotypes from different Prunus species were used, including peach, apricot, plum, and almond (already phenotyped for several agronomical traits, including self-compatibility, flowering and ripening time, fruit type, skin and flesh color, and shell hardness). These Prunus genotypes were molecularly characterized using 28 SSR markers developed in exons, introns, and intergenic regions. All these genes were located in specific regions where quantitative trait loci (QTLs) for certain fruit quality traits were also located, including flowering and ripening times and fruit flesh and skin color. A sum of 309 SSR alleles were identified in the whole panel of analyzed cultivars, with expected heterozygosity values of 0.61 (upstream SSRs), 0.17 (exonic SSRs), 0.65 (intronic SSRs), and 0.58 (downstream SSRs). These values prove the low level of polymorphism of the exonic (gene-coding regions) markers. Cluster and structural analysis based on SSR data clearly differentiated the genotypes according to either specie (for the four species) and pedigree (apricot) or geographic origin (Japanese plum). In addition, some SSR markers mainly developed in intergenic regions could be associated with genes that control traits of interest in breeding and could therefore help in marker-assisted breeding. These findings highlight the importance of using molecular markers able to discriminate between the functional roles of the gene allelic variants.     

Analysis of genetic diversity among medicinal therapist <Emphasis Type="Italic">Trigonella foenum</Emphasis>-<Emphasis Type="Italic">graecum</Emphasis> L. genotypes through RAPD and SSR markers

Trigonella is recognized as a medicinal therapist throughout the globe due to its multifaceted rare medicinal properties. It is indigenous from Iran to Northern India but has gained global acceptance towards cultivation and consumption for its yellow-to-amber colored seed which substantially contributes to food, pharmaceutical, nutraceutical and cosmetic industry. Genetic diversity serves as an excellent tool for developing improved crop varieties with breeder preferred traits. Unfortunately, very little information available on variability existing in commercial Trigonella genotypes considerably impedes the crop improvement. In this study, ninety Trigonella genotypes belonging to most productive North Indian states were subjected to multilocus genotyping using RAPD (49) and SSR (13) primers and detected an average of 55.60 and 50.16% polymorphism, respectively. The percentage polymorphism range (RAPD, 16.7–90.90; SSR, 33.30–66.66) average band informativeness (RAPD, 0.182–0.85; SSR, 0.21–0.91) and resolving power (RAPD, 0.95–9.984; SSR, 1.68–7.28) obtained revealed the wide range of diversity prevailing among these genotypes. Hierarchical clustering of genotypes in nine different clusters showed Trigonella’s genetic variability has wide genetic distribution across different agro-climatic zones. No consistency was observed while grouping Trigonella varieties based on eco-geographical region. Eventually, knowledge of these genetic differences significantly contributes in designing intra-specific crosses with potential interest to spice breeding programs. To the best of our knowledge, this is the first report of genetic diversity using SSR molecular markers in Trigonella foenum-graecum L.     

Unraveling the efficiency of RAPD and SSR markers in diversity analysis and population structure estimation in common bean

Increase in food production viz-a-viz quality of food is important to feed the growing human population to attain food as well as nutritional security. The availability of diverse germplasm of any crop is an important genetic resource to mine the genes that may assist in attaining food as well as nutritional security. Here we used 15 RAPD and 23 SSR markers to elucidate diversity among 51 common bean genotypes mostly landraces collected from the Himalayan region of Jammu and Kashmir, India. We observed that both the markers are highly polymorphic. The discriminatory power of these markers was determined using various parameters like; percent polymorphism, PIC, resolving power and marker index. 15 RAPDs produced 171 polymorphic bands, while 23 SSRs produced 268 polymorphic bands. SSRs showed a higher PIC value (0.300) compared to RAPDs (0.243). Further the resolving power of SSRs was 5.241 compared to 3.86 for RAPDs. However, RAPDs showed a higher marker index (2.69) compared to SSRs (1.279) that may be attributed to their higher multiplex ratio. The dendrograms generated with hierarchical UPGMA cluster analysis grouped genotypes into two main clusters with various degrees of sub clustering within the cluster. Here we observed that both the marker systems showed comparable accuracy in grouping genotypes of common bean according to their area of cultivation. The model based STRUCTURE analysis using 15 RAPD and 23 SSR markers identified a population with 3 sub-populations which corresponds to distance based groupings. High level of genetic diversity was observed within the population. These findings have further implications in common bean breeding as well as conservation programs.     

Assessment of genetic diversity among okra genotypes using SSR markers

Okra (Abelmoschus esculentus) is an important nutritious vegetable. Despite its high economic and industrial value, very little attention has been paid to assess genetic diversity of okra at molecular level. For effective conservation and proper deployment of germplasm, a study on diversity analysis of okra germplasm was conducted with DNA markers. Microsatellite/Simple sequence repeat (SSR) markers were utilized to evaluate the genetic diversity among 96 accessions of Abelmoschus, of which 92 accessions were of A. esculentus and one accession each of A. tuberculatus, A. moschatus, A. moschatus subspecies tuberosus and A. manihot. A set of 40 SSR primers were tested, of which 30 primers gave reproducible amplification which were used further for diversity analysis. With a mean of 7.1 bands per SSR, DNA amplification with 30 SSRs generated a total 213 bands, of which 60.66 % were recorded polymorphic. Polymorphic information content ranged between 0.11 and 0.80 with an average of 0.52, indicating that the majority of primers were informative. The Jaccard’s coefficient ranged from 0.107 to 0.969. The UPGMA analysis grouped Abelmoschus genotypes into three main clusters at a cut-off of 0.20. Results of present study revealed that sufficient variation exists among the studied accessions and GAO-5 which was found highly diverse can be exploited for okra improvement. The outcome of present research would assist to make use of Ablemoschus germplasm for okra breeding.     

Newly developed SSR markers reveal genetic diversity and geographical clustering in spinach (<Emphasis Type="Italic">Spinacia oleracea</Emphasis>)

Spinach is a popular leafy green vegetable due to its nutritional composition. It contains high concentrations of vitamins A, E, C, and K, and folic acid. Development of genetic markers for spinach is important for diversity and breeding studies. In this work, Next Generation Sequencing (NGS) technology was used to develop genomic simple sequence repeat (SSR) markers. After cleaning and contig assembly, the sequence encompassed 2.5% of the 980 Mb spinach genome. The contigs were mined for SSRs. A total of 3852 SSRs were detected. Of these, 100 primer pairs were tested and 85% were found to yield clear, reproducible amplicons. These 85 markers were then applied to 48 spinach accessions from worldwide origins, resulting in 389 alleles with 89% polymorphism. The average gene diversity (GD) value of the markers (based on a GD calculation that ranges from 0 to 0.5) was 0.25. Our results demonstrated that the newly developed SSR markers are suitable for assessing genetic diversity and population structure of spinach germplasm. The markers also revealed clustering of the accessions based on geographical origin with clear separation of Far Eastern accessions which had the overall highest genetic diversity when compared with accessions from Persia, Turkey, Europe, and the USA. Thus, the SSR markers have good potential to provide valuable information for spinach breeding and germplasm management. Also they will be helpful for genome mapping and core collection establishment.     

Utilization of in silico EST–SSR markers for diversity studies in castor (<Emphasis Type="Italic">Ricinus communis</Emphasis> L.)

Castor (Ricinus communis L.) a chief non-edible oilseed crop has numerous industrial applications. Systematic genetic diversity analysis utilizing DNA based markers has been quick and reliable method that ensures selection of diverse parents for exploitation of higher levels of heterosis in breeding programs. From NCBI database, 63,852 EST sequences of castor were mined. One thousand one hundred and five (1105) EST–SSRs and 1652 repeat motifs sequences were identified from 20,495 non-redundant unigene sequences. Repeat motifs consisted of 29.7 % mono nucleotide repeats, 24.8 % di nucleotide repeats, 27.27 % tri nucleotide repeats and 3.94 % tetra nucleotide repeats. Twenty eight primer pairs were chosen from SSR-containing ESTs to determine genetic diversity among 27 castor accessions. Twelve EST–SSRs showed polymorphism. Number of alleles detected were 2–3 with an average of 2.33 per locus. 150–400 bp was the size of an allele. Dendrogram analysis grouped the 27 accessions into two separate clusters. Genetic similarity coefficient of dendrogram ranged from 0.24 to 0.83. The polymorphic information content value of 0.28–0.49 revealed medium level of diversity in castor. Results of present study indicated that EST–SSRs to be efficient markers for genetic diversity studies. Knowledge on level of diversity existing in castor genotypes would be useful for breeders to plan efficient hybrid breeding programme.     

In silico polymorphic novel SSR marker development and the first SSR-based genetic linkage map in pistachio

Simple sequence repeats (SSRs) are co-dominant markers, and are very useful in constructing consensus maps in heterozygous perennial plant species like pistachio. Pistacia vera L. is the only cultivated species in the genus Pistacia. It is dioecious with a haploid chromosome count of n =?15. Saturated genetic linkage maps can be a reference to identify markers linked to economically important phenotypic traits that could be useful for early breeding and selection programs. Therefore, this study aimed to develop polymorphic SSR markers in silico and to construct the first SSR-based genetic linkage map in pistachio. The DNA sequences of three cultivars (Siirt, Ohadi, and Bagyolu) of P. vera and one genotype belonging to P. atlantica (Pa-18) were obtained by next-generation sequencing, and 625 polymorphic SSR loci were identified from 750 screened in silico polymorphic SSR primer pairs. The novel SSRs were used to construct SSR-based genetic linkage maps in pistachio along with published SSRs in Siirt × Bagyolu F1 population. Most (71.4%) of the SSRs were common markers that were used to construct consensus and parental maps spanning 15 linkage groups (LGs). A total of 384, 317, and 341 markers were mapped in the consensus, female, and male genetic maps with total lengths of 1511.3, 1427.0, and 1453.4 cM, respectively. The large number of SSR markers discovered and the first SSR-based genetic linkage map constructed in this study will be useful for anchoring loci for map integration, and will facilitate marker-assisted selection efforts for important horticultural traits in the genus Pistacia.     

Identification and characterization of salt responsive miRNA-SSR markers in rice (Oryza sativa)

Salinity is an important abiotic stress that affects agricultural production and productivity. It is a complex trait that is regulated by different molecular mechanisms. miRNAs are non-coding RNAs which are highly conserved and regulate gene expression. Simple sequence repeats (SSRs) are robust molecular markers for studying genetic diversity. Although several SSR markers are available now, challenge remains to identify the trait-specific SSRs which can be used for marker assisted breeding. In order to understand the genetic diversity of salt responsive-miRNA genes in rice, SSR markers were mined from 130 members of salt-responsive miRNA genes of rice and validated among the contrasting panels of tolerant as well as susceptible rice genotypes, each with 12 genotypes. Although 12 miR-SSRs were found to be polymorphic, only miR172b-SSR was able to differentiate the tolerant and susceptible genotypes in 2 different groups. It had also been found that miRNA genes were more diverse in susceptible genotypes than the tolerant one (as indicated by polymorphic index content) which might interfere to form the stem-loop structure of premature miRNA and their subsequent synthesis in susceptible genotypes. Thus, we concluded that length variations of the repeats in salt responsive miRNA genes may be responsible for a possible sensitivity to salinity adaptation. This is the first report of characterization of trait specific miRNA derived SSRs in plants.     

Construction of a high-density SNP genetic map in flue-cured tobacco based on SLAF-seq

Tobacco (Nicotiana tabacum L., 2n = 48) is an important agronomic crop and model plant. Flue-cured tobacco is the most important type and accounts for approximately 80 % of tobacco production worldwide. The low genetic diversity of flue-cured tobacco impedes the construction of a high-density genetic linkage map using simple sequence repeat (SSR) markers and warrants the exploitation of single nucleotide polymorphic (SNP) markers from genomic regions. In this article, initially using specific locus-amplified fragment sequencing, we discovered 10,891 SNPs that were subsequently used as molecular markers for genetic map construction. Combined with SSR markers, a final high-density genetic map was generated containing 4215 SNPs and 194 SSRs distributed on 24 linkage groups (LGs). The genetic map was 2662.43 cM in length, with an average distance of 0.60 cM between adjacent markers. Furthermore, by mapping the SNP markers to the ancestral genomes of Nicotiana tomentosiformis and Nicotiana sylvestris, a large number of genome rearrangements were identified as occurring after the polyploidization event. Finally, using this novel integrated map and mapping population, two major quantitative trait loci (QTLs) were identified for flue-curing and mapped to the LG6 of tobacco. This is the first report of SNP markers and a SNP-based linkage map being developed in tobacco. The high-density genetic map and QTLs related to tobacco curing will support gene/QTL fine mapping, genome sequence assembly and molecular breeding in tobacco.     

High-Throughput Development of SSR Markers from Pea (Pisum sativum L.) Based on Next Generation Sequencing of a Purified Chinese Commercial Variety

Pea (Pisum sativum L.) is an important food legume globally, and is the plant species that J.G. Mendel used to lay the foundation of modern genetics. However, genomics resources of pea are limited comparing to other crop species. Application of marker assisted selection (MAS) in pea breeding has lagged behind many other crops. Development of a large number of novel and reliable SSR (simple sequence repeat) or microsatellite markers will help both basic and applied genomics research of this crop. The Illumina HiSeq 2500 System was used to uncover 8,899 putative SSR containing sequences, and 3,275 non-redundant primers were designed to amplify these SSRs. Among the 1,644 SSRs that were randomly selected for primer validation, 841 yielded reliable amplifications of detectable polymorphisms among 24 genotypes of cultivated pea (Pisum sativum L.) and wild relatives (P. fulvum Sm.) originated from diverse geographical locations. The dataset indicated that the allele number per locus ranged from 2 to 10, and that the polymorphism information content (PIC) ranged from 0.08 to 0.82 with an average of 0.38. These 1,644 novel SSR markers were also tested for polymorphism between genotypes G0003973 and G0005527. Finally, 33 polymorphic SSR markers were anchored on the genetic linkage map of G0003973 × G0005527 F₂ population.     

Genetic Diversity,Population Structure,Parentage Analysis,and Construction of Core Collections in the French Apple Germplasm Based on SSR Markers

In-depth characterization of apple genetic resources is a prerequisite for genetic improvement and for germplasm management. In this study, we fingerprinted a very large French collection of 2163 accessions with 24 SSR markers in order to evaluate its genetic diversity, population structure, and genetic relationships, to link these features with cultivar selection date or usage (old or modern, dessert or cider cultivars), and to construct core collections. Most markers were highly discriminating and powerful for varietal identification, with a probability of identity P _(ID) over the 21 retained SSR loci close to 10^?28. Pairwise comparisons revealed 34 % redundancy and 18.5 % putative triploids. The results showed that the germplasm is highly diverse with an expected heterozygosity H _e of 0.82 and observed heterozygosity H _o of 0.83. A Bayesian model-based clustering approach revealed a weak but significant structure in three subgroups (F_ST?=?0.014–0.048) corresponding, albeit approximately, to the three subpopulations defined beforehand (Old Dessert, Old Cider, and Modern Cultivars). Parentage analyses established already known and yet unknown relationships, notably between old cultivars, with the frequent occurrence of cultivars such as “King of Pippin” and “Calville Rouge d’Hiver” as founders. Finally, core collections based on allelic diversity were constructed. A large dessert core collection of 278 cultivars contained 90 % of the total dessert allelic diversity, whereas a dessert subcore collection of 48 cultivars contained 71 % of diversity. For cider apples, a 48-cultivar core collection contained 83 % of the total cider allelic diversity.     

Functional Genetic Diversity Analysis and Identification of Associated Simple Sequence Repeats and Amplified Fragment Length Polymorphism Markers to Drought Tolerance in Lentil (<Emphasis Type="Italic">Lens culinaris</Emphasis> ssp. <Emphasis Type="Italic">culinaris</Emphasis> Medicus) Landraces

Genetic diversity of 70 Mediterranean lentil (Lens culinaris ssp. culinaris Medicus) landraces was assessed using simple sequence repeats (SSRs) and amplified fragment length polymorphisms (AFLPs). These landraces were also assessed for variation in root and shoot traits and drought tolerance as estimated by relative water content (RWC), water losing rate (WLR) and wilting score (WS). Genetic diversity and clear differentiation of Moroccan landraces from those from northern Mediterranean regions (Italy, Turkey and Greece) were found. High genetic variation in root and shoot traits and traits related to drought tolerance was also observed. No relationship was found between drought tolerance of landraces and their geographic origin. Landraces with higher dry root biomass, chlorophyll content and root–shoot ratio were drought tolerant as evidenced by higher RWC and lower WLR and wilting severity. Kruskal–Wallis non-parametric test (K-W) was used to find SSRs and AFLPs associated with RWC, WLR and WS. Regression analysis showed six SSR and AFLP alleles explaining the highest phenotypic variation of RWC, WLR and WS (ranging from 21 to 50 % for SSRs and from 14 to 33 % for AFLPs). Functional genetic diversity analysis showed relationships between drought response of landraces and linked SSR and AFLP alleles to RWC, WLR and WS according to K-W test using canonical discriminant analysis. Our results confirm the feasibility of using association mapping to find DNA markers associated with drought tolerance in larger numbers of lentil landraces.     

Comparative analysis of genetic diversity in the mangrove species Avicennia marina (Forsk.) Vierh. (Avicenniaceae) detected by AFLPs and SSRs

Avicennia marina is an important mangrove species with a wide geographical and climatic distribution which suggests that large amounts of genetic diversity are available for conservation and breeding programs. In this study we compare the informativeness of AFLPs and SSRs for assessing genetic diversity within and among individuals, populations and subspecies of A. marina in Australia. Our comparison utilized three SSR loci and three AFLP primer sets that were known to be polymorphic, and could be run in a single analysis on a capillary electrophoresis system, using different- colored fluorescent dyes. A total of 120 individuals representing six populations and three subspecies were sampled. At the locus level, SSRs were considerably more variable than AFLPs, with a total of 52 alleles and an average heterozygosity of 0.78. Average heterozygosity for AFLPs was 0.193, but all of the 918 bands scored were polymorphic. Thus, AFLPs were considerably more efficient at revealing polymorphic loci than SSRs despite lower average heterozygosities. SSRs detected more genetic differentiation between populations (19 vs 9%) and subspecies (35 vs 11%) than AFLPs. Principal co-ordinate analysis revealed congruent patterns of genetic relationships at the individual, population and subspecific levels for both data sets. Mantel testing confirmed congruence between AFLP and SSR genetic distances among, but not within, population comparisons, indicating that the markers were segregating independently but that evolutionary groups (populations and subspecies) were similar. Three genetic criteria of importance for defining priorities for ex situ collections or in situ conservation programs (number of alleles, number of locally common alleles and number of private alleles) were correlated between the AFLP and SSR data sets. The congruence between AFLP and SSR data sets suggest that either method, or a combination, is applicable to expanded genetic studies of mangroves. The codominant nature of SSRs makes them ideal for further population-based investigations, such as mating-system analyses, for which the dominant AFLP markers are less well suited. AFLPs may be particularly useful for monitoring propagation programs and identifying duplicates within collections, since a single PCR assay can reveal many loci at once. Received: 3 October 2000 / Accepted: 19 February 2001