O gênero Yersinia pertence à família Enterobacteriaceae e compreende 17 espécies. Y. pestis, Y. pseudotuberculosis e Y. enterocolitica são reconhecidamente patógenos de humanos e animais. Y. pestis cause a peste. Y. pseudotuberculosis e Y. enterocolitica são agentes causadores, sobretudo, de gastroenterites transmitidas por água e alimentos. As demais 14 espécies são, usualmente, consideradas não-patogênicas, com exceção de Y. ruckeri sorogrupo O:1 que causa infecções em peixes. Nas últimas décadas, a tipagem molecular tornou-se uma importante ferramenta nos estudos filogenéticos de numerosos micro-organismos e o desenvolvimento de sistemas de tipagem rápidos e baratos pode facilitar os estudos epidemiológicos de infecções bacterianas. No presente estudo objetivou-se desenvolver um método de genotipagem de Yersinia spp. baseado em high-resolution melting analysis (HRMA) para diferenciar os single-nucleotide polymorphisms (SNPs) presentes nas sequências dos genes 16S rRNA, glnA, gyrB, hsp60 e recA e aplicá-lo na tipagem de 40 linhagens de Y. pseudotuberculosis e 50 linhagens de Y. enterocolitica, bem como separar por HRMA as espécies Y. pseudotuberculosis e Y. enterocolitica. Os SNPs foram determinados nas sequências dos loci acima citados a partir de um conjunto de 119 linhagens de Yersinia spp. depositadas no GenBank/EMBL/DDBJ. Foram encontrados nas sequências dos genes analisados de Y. pseudotuberculosis, Y. enterocolitica, Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii e Y. ruckeri 10, 10, 9, 6, 4, 1 e 1 SNPs, respectivamente. Nenhum SNP foi encontrado nas sequências analisadas de Y. pestis e um grande número de SNPs foi encontrado nas sequências analisadas de Y. frederiksenii, Y. kristensenii e Y. massiliensis, o que impossibilitou a genotipagem dessas espécies por HRMA. As demais espécies não foram analisadas. Foram desenhados pares de primers para flanquear os SNPs encontrados em cada espécie de Yersinia testada. Usando um conjunto de primers espécie-específicos, a diversidade genética de cada espécie de Yersinia foi determinada por HRMA e a análise filogenética foi baseada na sequência concatenada composta pelos nucleotídeos identificados em cada fragmento analisado. O agrupamento foi realizado com o software BioNumerics usando o método UPGMA com 1.000 replicatas de bootstrap. A árvore filogenética ii construída para Y. pseudotuberculosis agrupou as linhagens em clusters bio-sorogrupo específicos. As linhagens do bio-sorogrupo 1/O:1 foram agrupadas em um cluster e as linhagens do bio-sorogrupo 2/O:3 em outro. A árvore filogenética construída para Y. enterocolitica agrupou as linhagens em três grupos. As linhagens altamente patogênicas, do biotipo 1B, foram agrupadas em um cluster, as linhagens de média patogenicidade, dos biotipos 2, 3, 4 e 5, foram agrupadas em um segundo cluster e as linhagens consideradas nãopatogênicas, do biotipo 1A, foram agrupadas em um terceiro cluster. O agrupamento encontrado em Y. pseudotuberculosis e Y. enterocolitica foi consistente com o perfil patogênico característico dessas duas espécies. Nenhuma correlação epidemiológica significativa foi encontrada no agrupamento de Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii e Y. ruckeri de acordo com os resultados de HRMA. Ademais, o método de HRMA aqui desenvolvido foi capaz de separar as espécies Y. pseudotuberculosis e Y. enterocolitica. O método de HRMA desenvolvido nesse estudo pode ser usado como uma alternativa para a genotipagem e para a diferenciação de Y. pseudotuberculosis de Y. enterocolitica. Esse método também pode complementar os métodos baseados em sequências e facilitar os estudos epidemiológicos dessas duas espécies de Yersinia. / The genus Yersinia belongs to the family Enterobacteriaceae and comprises 17 species. Y. pestis, Y. pseudotuberculosis and Y. enterocolitica are well recognized human and animal pathogens. Y. pestis causes plague. Y. pseudotuberculosis and Y. enterocolitica are, usually, causative agents of food-waterborne gastroenteritis. The other 14 Yersinia species are considered to be non-pathogenic, with the exception of Y. ruckeri serogroup O:1 which causes infections in fishes. In the last few decades, molecular typing has become an important tool in phylogenetic studies of several microorganisms and the development of fast and inexpensive typing systems can facilitate epidemiological studies of bacterial infections. The present study aimed to develop a method of Yersinia spp. genotyping based on high-resolution melting analysis (HRMA) in order to differentiate the single-nucleotide polymorphisms (SNPs) present in the 16S rRNA, glnA, gyrB, hsp60 and recA sequences and apply it in the typing of 40 Y. pseudotuberculosis strains and 50 Y. enterocolitica strains, as well as, to separate by HRMA the Y. pseudotuberculosis and Y. enterocolitica species. The SNPs were determined in the sequences of the aforementioned loci using a set of 119 Yersinia strains deposited in the GenBank/EMBL/DDBJ database. It were found in the gene sequences analyzed of Y. pseudotuberculosis, Y. enterocolitica, Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii and Y. ruckeri 10, 10, 9, 6, 4, 1 and 1 SNPs, respectively. No SNPs was found in the analyzed sequences of Y. pestis and a large number of SNPs were found in the analyzed sequences of Y. frederiksenii, Y. kristensenii and Y. massiliensis what prevented their genotyping by HRMA. The remaining Yersinia species were not analyzed. It was designed primer pairs to flank the SNPs found in each Yersinia species tested. Using a specie-specific set of primers, the genetic diversity of each Yersinia species used was determined by HRMA and the phylogenetic analysis was based on the concatenated sequence composed by the nucleotides identified in each fragment analyzed. Clustering was performed with the software package BioNumerics using UPGMA method and 1,000 bootstrap replicates. The phylogenetic tree constructed for Y. pseudotuberculosis grouped the strains into bio-serogroups specific clusters. The strains of 1/O:1 bio-serogroup were grouped into one cluster and the strains of 2/O:3 bio-serogroup into iv other cluster. The phylogenetic tree constructed for Y. enterocolitica grouped the strains in three clusters. The highly pathogenic strains, of biotype 1B, were grouped into one cluster, the moderate pathogenic strains, of biotypes 2, 3, 4 and 5, were grouped into a second cluster and, the non-pathogenic strains, of biotype 1A, were grouped into a third cluster. The clusterization of Y. pseudotuberculosis and Y. enterocolitica were consistent with the pathogenic profile characteristic of these two Yersinia species. No significant epidemiological correlation was found in the grouping of Y. bercovieri, Y. rohdei, Y. intermedia Y. mollaretii and Y. ruckeri according to HRMA results. Moreover, the HRMA-based method develop here was able to separate the Y. pseudotuberculosis and Y. enterocolitica species. The HRMA assay developed in this study can be used as an alternative for the genotyping and the differentiation of Y. pseudotuberculosis and Y. enterocolitica. This method can also complement sequence-based methods and facilitate epidemiological studies of these two Yersinia species.

O gênero Yersinia pertence à família Enterobacteriaceae e compreende 17 espécies. Y. pestis, Y. pseudotuberculosis e Y. enterocolitica são reconhecidamente patógenos de humanos e animais. Y. pestis cause a peste. Y. pseudotuberculosis e Y. enterocolitica são agentes causadores, sobretudo, de gastroenterites transmitidas por água e alimentos. As demais 14 espécies são, usualmente, consideradas não-patogênicas, com exceção de Y. ruckeri sorogrupo O:1 que causa infecções em peixes. Nas últimas décadas, a tipagem molecular tornou-se uma importante ferramenta nos estudos filogenéticos de numerosos micro-organismos e o desenvolvimento de sistemas de tipagem rápidos e baratos pode facilitar os estudos epidemiológicos de infecções bacterianas. No presente estudo objetivou-se desenvolver um método de genotipagem de Yersinia spp. baseado em high-resolution melting analysis (HRMA) para diferenciar os single-nucleotide polymorphisms (SNPs) presentes nas sequências dos genes 16S rRNA, glnA, gyrB, hsp60 e recA e aplicá-lo na tipagem de 40 linhagens de Y. pseudotuberculosis e 50 linhagens de Y. enterocolitica, bem como separar por HRMA as espécies Y. pseudotuberculosis e Y. enterocolitica. Os SNPs foram determinados nas sequências dos loci acima citados a partir de um conjunto de 119 linhagens de Yersinia spp. depositadas no GenBank/EMBL/DDBJ. Foram encontrados nas sequências dos genes analisados de Y. pseudotuberculosis, Y. enterocolitica, Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii e Y. ruckeri 10, 10, 9, 6, 4, 1 e 1 SNPs, respectivamente. Nenhum SNP foi encontrado nas sequências analisadas de Y. pestis e um grande número de SNPs foi encontrado nas sequências analisadas de Y. frederiksenii, Y. kristensenii e Y. massiliensis, o que impossibilitou a genotipagem dessas espécies por HRMA. As demais espécies não foram analisadas. Foram desenhados pares de primers para flanquear os SNPs encontrados em cada espécie de Yersinia testada. Usando um conjunto de primers espécie-específicos, a diversidade genética de cada espécie de Yersinia foi determinada por HRMA e a análise filogenética foi baseada na sequência concatenada composta pelos nucleotídeos identificados em cada fragmento analisado. O agrupamento foi realizado com o software BioNumerics usando o método UPGMA com 1.000 replicatas de bootstrap. A árvore filogenética ii construída para Y. pseudotuberculosis agrupou as linhagens em clusters bio-sorogrupo específicos. As linhagens do bio-sorogrupo 1/O:1 foram agrupadas em um cluster e as linhagens do bio-sorogrupo 2/O:3 em outro. A árvore filogenética construída para Y. enterocolitica agrupou as linhagens em três grupos. As linhagens altamente patogênicas, do biotipo 1B, foram agrupadas em um cluster, as linhagens de média patogenicidade, dos biotipos 2, 3, 4 e 5, foram agrupadas em um segundo cluster e as linhagens consideradas nãopatogênicas, do biotipo 1A, foram agrupadas em um terceiro cluster. O agrupamento encontrado em Y. pseudotuberculosis e Y. enterocolitica foi consistente com o perfil patogênico característico dessas duas espécies. Nenhuma correlação epidemiológica significativa foi encontrada no agrupamento de Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii e Y. ruckeri de acordo com os resultados de HRMA. Ademais, o método de HRMA aqui desenvolvido foi capaz de separar as espécies Y. pseudotuberculosis e Y. enterocolitica. O método de HRMA desenvolvido nesse estudo pode ser usado como uma alternativa para a genotipagem e para a diferenciação de Y. pseudotuberculosis de Y. enterocolitica. Esse método também pode complementar os métodos baseados em sequências e facilitar os estudos epidemiológicos dessas duas espécies de Yersinia. / The genus Yersinia belongs to the family Enterobacteriaceae and comprises 17 species. Y. pestis, Y. pseudotuberculosis and Y. enterocolitica are well recognized human and animal pathogens. Y. pestis causes plague. Y. pseudotuberculosis and Y. enterocolitica are, usually, causative agents of food-waterborne gastroenteritis. The other 14 Yersinia species are considered to be non-pathogenic, with the exception of Y. ruckeri serogroup O:1 which causes infections in fishes. In the last few decades, molecular typing has become an important tool in phylogenetic studies of several microorganisms and the development of fast and inexpensive typing systems can facilitate epidemiological studies of bacterial infections. The present study aimed to develop a method of Yersinia spp. genotyping based on high-resolution melting analysis (HRMA) in order to differentiate the single-nucleotide polymorphisms (SNPs) present in the 16S rRNA, glnA, gyrB, hsp60 and recA sequences and apply it in the typing of 40 Y. pseudotuberculosis strains and 50 Y. enterocolitica strains, as well as, to separate by HRMA the Y. pseudotuberculosis and Y. enterocolitica species. The SNPs were determined in the sequences of the aforementioned loci using a set of 119 Yersinia strains deposited in the GenBank/EMBL/DDBJ database. It were found in the gene sequences analyzed of Y. pseudotuberculosis, Y. enterocolitica, Y. bercovieri, Y. rohdei, Y. intermedia, Y. mollaretii and Y. ruckeri 10, 10, 9, 6, 4, 1 and 1 SNPs, respectively. No SNPs was found in the analyzed sequences of Y. pestis and a large number of SNPs were found in the analyzed sequences of Y. frederiksenii, Y. kristensenii and Y. massiliensis what prevented their genotyping by HRMA. The remaining Yersinia species were not analyzed. It was designed primer pairs to flank the SNPs found in each Yersinia species tested. Using a specie-specific set of primers, the genetic diversity of each Yersinia species used was determined by HRMA and the phylogenetic analysis was based on the concatenated sequence composed by the nucleotides identified in each fragment analyzed. Clustering was performed with the software package BioNumerics using UPGMA method and 1,000 bootstrap replicates. The phylogenetic tree constructed for Y. pseudotuberculosis grouped the strains into bio-serogroups specific clusters. The strains of 1/O:1 bio-serogroup were grouped into one cluster and the strains of 2/O:3 bio-serogroup into iv other cluster. The phylogenetic tree constructed for Y. enterocolitica grouped the strains in three clusters. The highly pathogenic strains, of biotype 1B, were grouped into one cluster, the moderate pathogenic strains, of biotypes 2, 3, 4 and 5, were grouped into a second cluster and, the non-pathogenic strains, of biotype 1A, were grouped into a third cluster. The clusterization of Y. pseudotuberculosis and Y. enterocolitica were consistent with the pathogenic profile characteristic of these two Yersinia species. No significant epidemiological correlation was found in the grouping of Y. bercovieri, Y. rohdei, Y. intermedia Y. mollaretii and Y. ruckeri according to HRMA results. Moreover, the HRMA-based method develop here was able to separate the Y. pseudotuberculosis and Y. enterocolitica species. The HRMA assay developed in this study can be used as an alternative for the genotyping and the differentiation of Y. pseudotuberculosis and Y. enterocolitica. This method can also complement sequence-based methods and facilitate epidemiological studies of these two Yersinia species.

North Atlantic and South Atlantic swordfish (Xiphias gladius L.) are currently managed as two stocks separated at 5°N. While previous studies of genetic population structure using both mitochondrial and nuclear DNA confirm two genetically distinct stocks, sampling coverage has not been uniform or representative of all areas and estimates of admixture in areas of contact have not been provided. In this study, we examined: 1) the applicability of high-resolution melting analysis (HRMA) in population genetic studies of non-model organisms, 2) the use of nuclear markers in Atlantic swordfish and the methodology whereby nuclear gene variation can be quickly screened, identified, and genotyped using short-amplicon (SA) HRMA and unlabeled probe (UP) HRMA, and 3) the use of HRMA to characterize nuclear markers to study the genetic population structure of Atlantic swordfish using representative samples of the entire basin to provide an estimation of population admixture by means of Bayesian individual assignment. High resolution melting analysis (HRMA) is shown to be a highly sensitive, rapid, closed-tube genotyping method amenable to high throughput and, though until recently primarily confined to clinical studies, suitable for population studies in non-model species. Ten nuclear markers were genotyped primarily by SA- and UP-HRMA in North Atlantic (n=419), South Atlantic (n=296), and Mediterranean (n=59) swordfish. Comparisons of pairwise FST, AMOVA, PCoA, and Bayesian individual assignments were congruent with previous finding of three discrete populations with comparatively low levels of estimated gene flow for a marine organism (FST = 0.039-0.126). Population admixture was identified and estimated in the Northeast Atlantic and appeared to be asymmetrical, with swordfish from the South Atlantic found among North Atlantic localities but no North Atlantic migrants identified in the South Atlantic. The Mediterranean boundary currently at the Strait of Gibraltar is found to extend west into Atlantic waters to approximately 8°W. Similarly, the boundary between North and South Atlantic swordfish should be revised to a line that extends north from 0°N 45°W to 25°N 45°W and from that position, as a nearly horizontal line, eastwards to the African coast. Finally, I show that Bayesian individual assignment using the developed marker set can be used for mixed stock allocation in the Northeast Atlantic.

Several malignant diseases, such as colorectal, pancreatic, breast or ovarial cancers, are primarily treated with cytostatics 5-fluorouracil (5-FU). 5-FU undergoes biotransformation in human body and arising metabolites induce the damage and subsequent apoptosis in the target cells. The main aim of this diploma Thesis was the determination of methylation in promoter regions of 14 candidate genes participating on 5-FU biotransformation: TK1, PPAT, RRM1, RRM2, UCK2, UCK1, UMPS, TYMP, UPP1, UPP 2 SLC29A1, UPB1, DPYS and DPYD. We hypothesize that the methylation in promoter regions regulates mRNA transcription of the above candidate genes. We have conducted appropriate analyses in 128 colorectal cancer patients, for whom both tumor and nonmalignant adjacent tissues were available. Sample processing and analysis involved DNA isolation, bisulfite conversion of unmethylated cytosines to corresponding uracils, methylation-specific analysis of melting curves with high resolution for theproper methylation analysis and gel electrophoresis to separate PCR products. For the majority of the studied genes (TK1, PPAT, RRM1, RRM2, UCK2, UCK1, UMPS, TYMP, UPP1, SLC29A1 and DPYD) we did not detect any aberrant methylation in promoter regions. In genes DPYS, UPB1 and UPP2 we recorded various degree of promoter...

The aim of this diploma thesis was to introduce real-time PCR with high-resolution melting analysis for Bifidobacterium species. Currently a small number of publication, dealing with identification of Bifidobacterium species using high-resolution melting analysis, is available. According to publications dealing with identification of lactic acid bacteria were selected primers P1V1 and P2V1, LAC1 and LAC2, LsppUPF and LsppUPR, V3F and V3R, V6F and V6R. Using this primers bacterial DNA was amplified by real-time PCR with high-resolution melting analysis. After evaluation of the measured results efficiency of selected primers was verified on DNA izolated from complex sample of probiotic product. After further optimisation real-time PCR with high-resolution melting analysis could be suitable using selected primers for Bifidobacterium species.

Currently, there is a growing interest in the use of probiotic products, and there are many of them in the market. With the growing interest, greater emphasis is placed on the identification of declared probiotic microorganisms. Precise identification of microbial composition is often a difficult task and it requires more advanced methods especially in the field of molecular diagnostics. The diploma thesis was focused on the verification of the presence od declared probiotic microorganisms in probiotic food supplements GS Laktobacily Forte 21, Biopron 9 Premium and Linex® Forte. DNA was isolated from the complex matrices by phenol extraction, commercial kit and magnetic carriers F79/L3-PLL in the quality suitable for PCR. Subsequently, the isolated DNA was amplified by real-time polymerase chain reaction using genus- and species-specific primers. The specific PCR product was subjected to agarose gel electrophoresis, whereas species identification was not always in compliance with the data declared by producers. The next part of the thesis was focused on polymerase chain reaction with high-resolution melting analysis to distinguish bacterial strains belonging to the Lactobacillus group and to identify probiotic microorganisms present in the complex matrices of the probiotic food supplements. Eight primer sets were tested (V1F HRM a V1R-HRM, CHAU-V3F a CHAU-V3R, CHAU-V6F a CHAU-V6R, LAC2 a LAC4, LAC1 a LAC2, P1V1 a P2V1, poxcDNAFw a poxPromRVC, poxcDNAFw a poxPromRVT). Three primer pairs (V1F HRM a V1R-HRM, poxcDNAFw a poxPromRVC, poxcDNAFw a poxPromRVT) were evaluated as the most suitable for distinguishing Lactobacillus bacterial strains.

Isolation of deoxyribonucleic acid (DNA) is an important step in the molecular diagnostics of microorganisms. A high quality of isolated DNA is necessary for DNA amplification by the polymerase chain reaction (PCR). The conventional DNA isolation using phenol chloroform extraction and DNA precipitation in ethanol is time consuming and requires the use of toxic phenol. Magnetic separation techniques using magnetic solid particles are one of modern methods to speed up the nucleic acids isolation. The aim of this work was to use two different types of magnetic particles for solidphase DNA extraction. The amounts of DNA in separation mixtures were measured using ultraviolet spectrophotometry (UV). The first experimental conditions were tested on chicken erythrocytes DNA. Phosphate buffer (pH 7, 7.6 and 8) was used for adsorption of DNA on magnetic particles. It was shown that approximately almost one half of DNA was adsorbed to the particles. The elution conditions of DNA were also optimized. Secondly, bacterial DNA was tested. This DNA eluted from the particles was in PCR ready quality. High resolution melting (HRM) curve analysis is a simple, low-cost method for amplicon discrimination and easy connection with real-time polymerase chain reaction (PCR). In this contribution, we report rapid species identification of strains belonging to the Lactobacillus group using HRM-PCR. Three different DNA isolation methods were used in this work: phenol extraction, separation using magnetic particles and commercial kit. Ten sets of targeted gene fragments primers (LAC1 – LAC2, LAC2 – LAC4, P1V1 – P2V1, Gro F – Gro R, 3BA-338f – Primer 1, V1F – V1R, CHAU - V3F – CHAU - V3R, CHAU - V6F – CHAU - V6R, poxcDNAFw – poxPromRVC, poxcDNAFw – poxPromRVT) were tested for amplification of the 16S rRNA gene. Use of GroF/R and LAC2/4 primers pairs successfully identify strains belong to the Lactobacillus group. The variance between used extraction methods for evidence of HRM curves was found.

Isolation of deoxyribonucleic acid (DNA) is an important step in the molecular diagnostics of microorganisms. A high quality of isolated DNA is necessary for DNA amplification by the polymerase chain reaction (PCR). The conventional DNA isolation using phenol-chloroform extraction and DNA precipitation in ethanol is time-consuming and requires the use of toxic phenol. Alternative method of DNA isolation is use of commercially available kits which, however, are expensive and their efficiency is low. Magnetic separation techniques using magnetic solid particles are one of modern methods to speed up the nucleic acids isolation. The aim of this work was to use two different types of magnetic particles for solid-phase DNA extraction. Magnetic microparticles P(HEMA – co – GMA) containing –NH2 group and nanoparticles PLL, whitch contains polylysine. The amounts of DNA in separation mixtures were measured using ultraviolet spectrophotometry (UV). The first experimental conditions were tested on chicken erythrocytes DNA. Phosphate buffer (pH 7, 7.6 and 8) was used for adsorption of DNA on magnetic particles. It was shown that approximately almost one half of DNA was adsorbed on the particles. The elution conditions of DNA were also optimized. Secondly, bacterial DNA was tested. After optimalization, the developed method was used for DNA isolation from real food supplements. This DNA eluted from the particles was in PCR ready quality. High resolution melting (HRM) curve analysis is a simple, low-cost method for amplicon discrimination and easy connection with real-time polymerase chain reaction (PCR). In this thesis, we report rapid species identification of strains belonging to the Lactobacillus group using HRM-PCR. Three different DNA isolation methods were used in this work: phenol extraction, separation using magnetic particles and commercial kit. Ten sets of targeted gene fragments primers (LAC1 – LAC2, LAC2 – LAC4, P1V1 – P2V1, Gro F – Gro R, 3BA-338f – Primer 1, V1F – V1R, CHAU - V3F – CHAU - V3R, CHAU - V6F – CHAU - V6R, poxcDNAFw – poxPromRVC, poxcDNAFw – poxPromRVT) were tested for amplification of the 16S rRNA gene. Use of GroF/R and LAC2/4 primers pairs successfully identify strains belong to the Lactobacillus group. The variance between used extraction methods for evidence of HRM curves was found.

Unambiguous gender identification (ID) is needed to assess parameters in studies of population dynamics, behavior, and evolutionary biology of Caribbean Flamingo (Phoenicopterus ruber ruber) and other birds. Due to its importance for management and conservation, molecular (DNA-based) avian gender ID assays targeting intron-size differences of the Chromosome Helicase ATPase DNA Binding (CHD) gene of males (CHD-Z) and females (CHD-W) have been developed. Male (ZZ) and female (WZ) genotypes are usually scored as size polymorphisms through agarose or acrylamide gels. For certain species, W-specific restriction sites or multiplex polymerase chain-reaction (PCR) involving CHD-W specific primers are needed. These approaches involve a minimum of three steps following DNA isolation: PCR, gel electrophoresis, and photo-documentation, which limit high throughput scoring and automation potential. In here, a short amplicon (SA) High-resolution Melting Analysis (HRMA) assay for avian gender ID is developed. SA-HRMA of an 81-Base Pair (bp) segment differentiates heteroduplex female (WZ) from homoduplex male (ZZ) genotypes by targeting Single-nucleotide Polymorphisms (SNPs) instead of intron-size differences between CHD-Z and CHD-W genes. To demonstrate the utility of the approach, the gender of Caribbean Flamingo (P. ruber ruber) (17 captive from the Dallas Zoo and 359 wild from Ria Lagartos, Yucatan, Mexico) was determined. The assay was also tested on specimens of Lesser Flamingo (P. minor), Chilean Flamingo (P. chilensis), Saddle-billed Stork (Ephippiorhynchus senegalensis), Scarlet Ibis (Eudocimus ruber), White-bellied Stork (Ciconia abdimii), Roseate Spoonbill (Platalea ajaja), Marabou Stork (Leptoptilos crumeniferus), Greater Roadrunner (Geococcyx californianus), and Attwater's Prairie Chicken (Tympanuchus cupido attwateri). Although the orthologous 81 bp segments of Z and W are highly conserved, sequence alignments with 50 avian species across 15 families revealed mismatches affecting one or more nucleotides within the SA-HRMA forward or reverse primers. Most mismatches were located along the CHD-Z gene that may generate heteroduplex curves and thus gender ID errors. For such cases, taxon and species-specific primer sets were designed. The SA-HRMA gender ID assay can be used in studies of avian ecology and behavior, to assess sex-associated demographics and migratory patterns, and as a proxy to determine the health of the flock and the degree by which conservation and captive breeding programs are functioning.