Exploring agro-morphological and fiber traits diversity in cotton (G. barbadense L.).

Cotton (Gossypium barbadense L.) is a leading fiber and oilseed crop globally, but genetic diversity among breeding materials is often limited. This study analyzed genetic variability in 14 cotton genotypes from Egypt and other countries, including both cultivated varieties and wild types, using agro-morphological traits and genomic SSR markers. Field experiments were conducted over two seasons to evaluate 12 key traits related to plant growth, yield components, and fiber quality. Molecular diversity analysis utilized 10 SSR primers to generate DNA profiles. The Molecular diversity analysis utilized 10 SSR primers to generate DNA profiles. Data showed wide variation for the morphological traits, with Egyptian genotypes generally exhibiting higher means for vegetative growth and yield parameters. The top-performing genotypes for yield were Giza 96, Giza 94, and Big Black Boll genotypes, while Giza 96, Giza 92, and Giza 70 ranked highest for fiber length, strength, and fineness. In contrast, molecular profiles were highly polymorphic across all genotypes, including 82.5% polymorphic bands out of 212. Polymorphism information content was high for the SSR markers, ranging from 0.76 to 0.86. Genetic similarity coefficients based on the SSR data varied extensively from 0.58 to 0.91, and cluster analysis separated genotypes into two major groups according to geographical origin. The cotton genotypes displayed high diversity in morphology and genetics, indicating sufficient variability in the germplasm. The combined use of physical traits and molecular markers gave a thorough understanding of the genetic diversity and relationships between Egyptian and global cotton varieties. The SSR markers effectively profiled the genotypes and can help select ideal parents for enhancing cotton through hybridization and marker-assisted breeding.

Development of eighteen novel microsatellite loci for Masked Bobwhite, Colinus virginianus ridgwayi.

BACKGROUND: Masked Bobwhite (Colinus virginianus ridgwayi) is a critically-endangered New World quail species endemic to Sonoran Desert grasslands of North America. It suffered severe population declines during the nineteenth and twentieth centuries, with its persistence now reliant upon a captive breeding program that requires careful genetic management to maintain extant genetic diversity. Although nuclear microsatellite DNA markers existed for the closely related Northern Bobwhite (C. virginianus), none were available for Masked Bobwhite to inform necessary management decisions. METHODS AND RESULTS: Paired-end Illumina© sequencing was conducted to screen the Masked Bobwhite genome for microsatellite loci. We identified 18 loci exhibiting high polymorphism and limited deviations from genetic equilibrium expectations. These loci were amplified in 78 individuals. Familial relationships were reconstructed via sibship methods and compared to manually-curated pedigree data. Thirteen of fifteen full-sibling groups in the pedigree were exactly reconstructed (86.6%). Three other full-sibling groups partially matched pedigree relationships with high statistical confidence, and likely represented pedigree inaccuracies. Four additional full-sibling pairs were identified with low statistical confidence and likely resulted from analytical artifacts. CONCLUSIONS: The novel microsatellite loci accurately reconstructed parent-offspring and sibling relationships. These loci will be useful for guiding genetic management decisions and identifying pedigree inaccuracies in the captive breeding program.

Assessment of co-contaminated soil amended by graphene oxide: Effects on pollutants, microbial communities and soil health.

Graphene oxide (GOx) is a nanomaterial with demonstrated capacity to remove metals from water. However, its effects on organic pollutants and metal(loid)s present in polluted soils when used for remediation purposes have not been extensively addressed. Likewise, few studies describe the effects of GOx on edaphic properties and soil biology. In this context, here we assessed the potential of GOx for remediating polluted soil focusing also on different unexplored effects of GOx in soil. To achieve this, we treated soil contaminated with concurrent inorganic (As and metals) and organic pollution (TPH and PAHs), using GOx alone and in combination with nutrients (N and P sources). In both cases increased availability of As and Zn was observed after 90 days, whereas Cu and Hg availability was reduced and the availability of Pb and the concentration of organic pollutants were not significantly affected. The application of GOx on the soil induced a significant and rapid change (within 1 week) in microbial populations, leading to a transient reduction in biodiversity, consistent with the alteration of several soil properties. Concurrently, the combination with nutrients exhibited a distinct behaviour, manifesting a more pronounced and persistent shift in microbial populations without a decrease in biodiversity. On the basis of these findings, GOx emerges as a versatile amendment for soil remediation approaches.

Effect of Carcinomas on Autosomal Trait Screening: A Review Article.

This review highlights the effect of carcinomas on the results of the examination of autosomal genetic traits for identification and paternity tests when carcinoid tissue is the only source and no other samples are available. In DNA typing or genetic fingerprinting, variable elements are isolated and identified within the base pair sequences that form the DNA. The person's probable identity can be determined by analysing nucleotide sequences in particular regions of DNA unique to everyone. Genetics plays an increasingly important role in the risk stratification and management of carcinoma patients. The available information from previous studies has indicated that in some incidents, including mass disasters and crimes such as terrorist incidents, biological evidence may not be available at the scene of the accident, except for some unknown human remains found in the form of undefined human tissues. If these tissues have cancerous tumours, it may affect the examination of the genetic traits derived from these samples, thereby resulting in a failure to identify the person. Pathology units, more often, verify the identity of the patients who were diagnosed with cancer in reference to their deceased tumorous relatives. Genetic fingerprinting (GF) is also used in paternity testing when the alleged parent disappeared or died and earlier was diagnosed and treated for cancer.

Genetic Diversity Analysis of Banana Cultivars (Musa sp.) in Saudi Arabia Based on AFLP Marker.

Banana plantation has been introduced recently to a temperate zone in the southeastern parts of Saudi Arabia (Fifa, Dhamadh, and Beesh, located in Jazan province). The introduced banana cultivars were of a clear origin without a recorded genetic background. In the current study, the genetic variability and structure of five common banana cultivars (i.e., Red, America, Indian, French, and Baladi) were analyzed using the fluorescently labeled AFLP technique. Nine different primer pairs combinations yielded 1468 loci with 88.96% polymorphism. Among all locations, high expected heterozygosity under the Hardy-Weinberg assumption was found (0.249 ± 0.003), where Dhamadh was the highest, followed by Fifa and Beesh, respectively. Based on the PCoA and Structure analysis, the samples were not clustered by location but in pairs in accordance with the cultivar's names. However, the Red banana cultivar was found to be a hybrid between the American and Indian cultivars. Based on ΦST, 162 molecular markers (i.e., loci under selection) were detected among cultivars. Identifying those loci using NGS techniques can reveal the genetic bases and molecular mechanisms involved in the domestication and selection indicators among banana cultivars.

Establishment of a diverse head and neck squamous cancer cell bank using conditional reprogramming culture methods.

Most laboratory models of head and neck squamous cell cancer (HNSCC) rely on established immortalized cell lines, which carry inherent bias due to selection and clonality. We established a robust panel of HNSCC tumor cultures using a "conditional reprogramming" (CR) method, which utilizes a rho kinase inhibitor (Y-27632) and co-culture with irradiated fibroblast (J2 strain) feeder cells to support indefinite tumor cell survival. Sixteen CR cultures were successfully generated from 19 consecutively enrolled ethnically and racially diverse patients with HNSCC at a tertiary care center in the Bronx, NY. Of the 16 CR cultures, 9/16 were derived from the oral cavity, 4/16 were derived from the oropharynx, and 3/16 were from laryngeal carcinomas. Short tandem repeat (STR) profiling was used to validate culture against patient tumor tissue DNA. All CR cultures expressed ΔNp63 and cytokeratin 5/6, which are markers of squamous identity. Human papillomavirus (HPV) testing was assessed utilizing clinical p16 staining on primary tumors, reverse transcription polymerase chain reaction (RT-PCR) of HPV16/18-specific viral oncogenes E6 and E7 in RNA extracted from tumor samples, and HPV DNA sequencing. Three of four oropharyngeal tumors were p16 and HPV-positive and maintained HPV in culture. CR cultures were able to establish three-dimensional spheroid and murine flank and orthotopic tongue models. CR methods can be readily applied to all HNSCC tumors regardless of patient characteristics, disease site, and molecular background, providing a translational research model that properly includes patient and tumor diversity.

Genetic polymorphism detection in brazilian perennial cottons (Gossypium spp.) using an ISSR marker system and its application for molecular interspecific differentiation.

BACKGROUND: The semi-domesticated Brazilian perennial cotton (Gossypium spp.) germplasm is considered a source of variability for creating modern upland cotton varieties. Here we used Inter-simple Sequence Repeat (ISSR) markers to detect intra and interspecific genetic polymorphism in Gossypium hirsutum L. r. marie-galante and Gossypium barbadense L. and to use molecular data to assessing genetic diversity and molecular discrimination of these species. METHODS AND RESULTS: The sets contained 12 G. barbadense genotypes and 16 G. hirsutum genotypes from a Brazilian collection. The 11 ISSR primers were used for genotyping yielded 101 bands (polymorphism = 47.5%) and were classified as moderately informative (PIC = 0.304). The ISSR markers exposed a greater diversity in G. hirsutum (P = 24.72%; HE =0.071 and I = 0.111) as compared to G. barbadense (P = 17.98%, HE = 0.043 and I = 0.070). The AMOVA analysis showed that 89.47% of the genetic variation was partitioned within species which is supported by Nei's genetic differentiation (Gst = 0.598) and gene flow (Nm = 0.338), suggesting that strong reproductive barriers between species. The UPGMA Cluster Analysis, Principal Coordinate Analysis and Bayesian Model-Based Structural Analysis divided the 28 genotypes into two main clades consistent with the taxonomical delimitation. CONCLUSION: The ISSR marker system offers a new approach to determining molecular differences between two cotton species (G. hirsutum L. r. marie-galante and G. barbadense L.). This study can expand the molecular marker resources for the identification and improvement of our knowledge about the genetic diversity and relationships between perennial cotton genotypes.

ISSR markers endorsed genetically stable plants regeneration of neem (Azadirachta indica A. Juss.) through indirect organogenesis using different explants.

BACKGROUND: Various parts of neem (Azadirachta indica) have high demand in several industries. However, the inadequate supply of sources hampers the commercialization of different neem products. In this scenario, the current research was undertaken to produce genetically stable plants through indirect organogenesis. METHODS AND RESULTS: Several explants like shoot tips, internodal segments, and leaves, were cultivated on MS media with different growth regulators. Maximum callus formation was achieved using 1.5 mg/L NAA, 0.5 mg/L 2,4-D and 0.2 mg/L both for Kn and BAP in combination with shoot tip (93.67%). These calli showed an organogenic potentiality on MS medium having coconut water (15%) without growth regulators. This medium along with 0.5 mg/L Kn and 0.1 mg/L both for BAP and NAA yielded the maximum adventitious shoot production with shoot tip-derived callus (95.24%). These calli further produced the most buds per shoot (6.38) and highest average shoot length (5.46 cm) with 0.5 mg/L both for BAP and Kn and 0.1 mg/L NAA in combination after the fifth subculture. The 1/3 strength of MS media was found to be best along with 0.5 mg/L IBA and 0.1 mg/L Kn in combination to generate maximum root response (92.86%), roots per shoot (5.86) and longest average root length (3.84 cm). The mean plant survival after initial hardening was 83.33% which increased to 89.47% after secondary hardening. The lack of variation in ISSR markers among the regenerated trees is evidence of clonal fidelity between hardened plants. CONCLUSIONS: This protocol will accelerate the propagation of neem for utilization of its sources.

Geolocation prediction from STR genotyping: a pilot study in five geographically distinct global populations.

BACKGROUND: Traditional CE-based STR profiles are highly useful for the purpose of individualisation. However, they do not give any additional information without the presence of the reference sample for comparison. AIM: To assess the usability of STR-based genotypes for the prediction of an individual's geolocation. SUBJECTS AND METHODS: Genotype data from five geographically distinct populations, i.e. Caucasian, Hispanic, Asian, Estonian, and Bahrainian, were collected from the published literature. RESULTS: A significant difference (p < 0.05) in the observed genotypes was found between these populations. D1S1656 and SE33 showed substantial differences in their genotype frequencies across the tested populations. SE33, D12S391, D21S11, D19S433, D18S51, and D1S1656 were found to have the highest occurrence of "unique genotype's" in different populations. In addition, D12S391 and D13S317 exhibited distinct population-specific "most frequent genotypes." CONCLUSIONS: Three different prediction models have been proposed for genotype to geolocation prediction, i.e. (i) use of unique genotypes of a population, (ii) use of the most frequent genotype, and (iii) a combinatorial approach of unique and most frequent genotypes. These models could aid the investigating agencies in cases where no reference sample is available for comparison of the profile.

DT-PICS: An Efficient and Cost-Effective SNP Selection Method for the Germplasm Identification of Arabidopsis.

Germplasm identification is essential for plant breeding and conservation. In this study, we developed a new method, DT-PICS, for efficient and cost-effective SNP selection in germplasm identification. The method, based on the decision tree concept, could efficiently select the most informative SNPs for germplasm identification by recursively partitioning the dataset based on their overall high PIC values, instead of considering individual SNP features. This method reduces redundancy in SNP selection and enhances the efficiency and automation of the selection process. DT-PICS demonstrated significant advantages in both the training and testing datasets and exhibited good performance on independent prediction, which validates its effectiveness. Thirteen simplified SNP sets were extracted from 749,636 SNPs in 1135 Arabidopsis varieties resequencing datasets, including a total of 769 DT-PICS SNPs, with an average of 59 SNPs per set. Each simplified SNP set could distinguish between the 1135 Arabidopsis varieties. Simulations demonstrated that using a combination of two simplified SNP sets for identification can effectively increase the fault tolerance in independent validation. In the testing dataset, two potentially mislabeled varieties (ICE169 and Star-8) were identified. For 68 same-named varieties, the identification process achieved 94.97% accuracy and only 30 shared markers on average; for 12 different-named varieties, the germplasm to be tested could be effectively distinguished from 1,134 other varieties while grouping extremely similar varieties (Col-0) together, reflecting their actual genetic relatedness. The results suggest that the DT-PICS provides an efficient and accurate approach to SNP selection in germplasm identification and management, offering strong support for future plant breeding and conservation efforts.

Construction of an SNP fingerprinting database and population genetic analysis of 329 cauliflower cultivars.

Cauliflower is one of the most important vegetable crops grown worldwide. However, the lack of genetic diversity information and efficient molecular markers hinders efforts to improve cauliflower. This study aims to construct DNA fingerprints for 329 cauliflower cultivars based on SNP markers and the KASP system. After rigorous filtering, a total of 1662 candidate SNPs were obtained from nearly 17.9 million SNP loci. The mean values of PIC, MAF, heterozygosity and gene diversity of these SNPs were 0.389, 0.419, 0.075, and 0.506, respectively. We developed a program for in silico simulations on 153 core germplasm samples to generate ideal SNP marker sets from the candidates. Finally, 41 highly polymorphic KASP markers were selected and applied to identify 329 cauliflower cultivars, mainly collected from the public market. Furthermore, based on the KASP genotyping data, we performed phylogenetic analysis and population structure analysis of the 329 cultivars. As a result, these cultivars could be classified into three major clusters, and the classification patterns were significantly related to their curd solidity and geographical origin. Finally, fingerprints of the 329 cultivars and 2D barcodes with the genetic information of each sample were generated. The fingerprinting database developed in this study provides a practical tool for identifying the authenticity and purity of cauliflower seeds and valuable genetic information about the current cauliflower cultivars.

Elevated temperature may reduce functional but not taxonomic diversity of fungal assemblages on decomposing leaf litter in streams.

Mounting evidence points to a linkage between biodiversity and ecosystem functioning (B-EF). Global drivers, such as warming and nutrient enrichment, can alter species richness and composition of aquatic fungal assemblages associated with leaf-litter decomposition, a key ecosystem process in headwater streams. However, effects of biodiversity changes on ecosystem functions might be countered by the presumed high functional redundancy of fungal species. Here, we examined how environmental variables and leaf-litter traits (based on leaf chemistry) affect taxonomic and functional α- and ß-diversity of fungal decomposers. We analysed taxonomic diversity (DNA-fingerprinting profiles) and functional diversity (community-level physiological profiles) of fungal communities in four leaf-litter species from four subregions differing in stream-water characteristics and riparian vegetation. We hypothesized that increasing stream-water temperature and nutrients would alter taxonomic diversity more than functional diversity due to the functional redundancy among aquatic fungi. Contrary to our expectations, fungal taxonomic diversity varied little with stream-water characteristics across subregions, and instead taxon replacement occurred. Overall taxonomic ß-diversity was fourfold higher than functional diversity, suggesting a high degree of functional redundancy among aquatic fungi. Elevated temperature appeared to boost assemblage uniqueness by increasing ß-diversity while the increase in nutrient concentrations appeared to homogenize fungal assemblages. Functional richness showed a negative relationship with temperature. Nonetheless, a positive relationship between leaf-litter decomposition and functional richness suggests higher carbon use efficiency of fungal communities in cold waters.

DNA fingerprinting using BOX-A1R and (GTG)5 primers identify spatial variations of fecal contamination along Pasig River, Philippines.

Pasig River is one of the most economically important rivers in Metro Manila, Philippines. It traverses some of the region's major cities, and because of its strategic location, it is utilized as a means of transportation, as a source of water for domestic and industrial uses, and for recreational purposes. However, due to population growth, industrialization, and land use, the river's water quality is deteriorating. Wastes that pollute the river pose health risks to the people that benefit from it. To prevent the river's further degradation, it is essential to identify the origin of contamination. In this study, the sources of fecal contamination in Pasig River were identified using BOX-A1R and (GTG)5 primers in the DNA fingerprinting of Escherichia coli isolated from the river. Results showed the dominance of human contamination (percent composition = 65.55%), followed by agricultural sources (percent composition = 23.48%), and the lowest was from sewage (percent composition = 10.98%). The results of this research can help in evaluating public health risks and can be used as a scientific basis for policymaking and implementation for the rehabilitation and improvement of Pasig River.

A novel barcode system for rapid identification of rice (Oryza sativa L.) varieties using agro-morphological descriptors and molecular markers.

Rice varietal identification is a crucial aspect in breeding, seed production and trade in order to protect the interests of the farmers and consumers. As the number of varieties released is rising every year, the need to identify them unambiguously also increases. Here, we developed a novel barcode system to identify 62 rice genotypes using agro-morphological descriptors and molecular markers. In all, 62 rice genotypes, for 22 agro-morphological traits were recorded. In addition, 19 molecular markers were used for developing genotype-specific DNA fingerprints. The descriptor notes of 10 essential agro-morphological traits and allele codes of the polymorphic markers were used to generate two-dimensional (2-D) barcodes for the rice genotypes. Using agro-morphological traits, 31 rice genotypes were unambiguously distinguished while, with the polymorphic markers we were able to distinguish all rice genotypes except BPT2295 and Jaya. However, using both agro-morphological descriptors and molecular markers in combination, it was possible to distinguish all the rice genotypes used in the present study. These agro-morphological notes and allele codes from the molecular marker data together were used to develop QR (Quick Response) codes for rapid identification of rice genotypes as they facilitate storage of more data. In the present investigation, we have demonstrated the potentiality of agro-morphological traits and molecular markers in distinguishing rice genotypes. The novel QR code system proposed in the present study can also be extended to other crops not only for varietal identification but also for germplasm management and trade.

Erroneous diagnosis of primary fibrosarcoma of the breast: The value of the multidisciplinary breast team approach.

Diagnostic errors occur in the preanalytic, analytic, and postanalytic phases of specimen processing. Correlating clinical and imaging information with gross and microscopic findings is crucial to limit errors and unnecessary treatment. Herein, we report the case of a 54-year-old woman who presented with left breast bloody nipple discharge and subsequently underwent central duct excision. Pathology revealed a high-grade sarcoma. The patient presented to our institution for further management. Upon secondary pathology review and DNA fingerprinting analysis, the correct interpretation was rendered. Our case demonstrates the importance of clinical correlation and review of pathology slides prior to definitive therapy.

Useful autosomal STR marker sets for forensic and paternity applications in the Central Indian population.

BACKGROUND: Many countries have developed their core set of STR loci for forensic application and database generation, which India lacks. AIM: To assess the usefulness of various combinations of autosomal STR marker sets for their superior use in the central Indian population for forensic and paternity applications. SUBJECTS AND METHODS: 19 STR marker sets were analysed on 200 central Indian populations and 20 paternity cases to assess their usefulness. RESULTS: Two marker sets each comprising 19 STR markers are found to be superior to 20 expanded CODIS loci in the studied population. These marker sets also showed their effectiveness in 20 paternity cases having CPI values of 7.62 × 1011 and 7.16 × 1011. Three non-CODIS STR markers Penta E, Penta D, and SE33 showed amplification in 50 challenging samples with >0.80 heterozygosity. CONCLUSION: Population-specific STR marker sets are useful in forensic and paternity applications, as well as database generation, and it is envisioned that Penta E, Penta D, and SE33 markers will be included in the list of core STR loci in the central Indian population.

What influences public views on forensic DNA testing in the criminal field? A scoping review of quantitative evidence.

BACKGROUND: Forensic DNA testing is a powerful tool used to identify, convict, and exonerate individuals charged of criminal offenses, but there are different views on its benefits and risks. Knowledge about public views on forensic DNA testing applied in the criminal field is socially valuable to practitioners and policymakers. This paper aims to synthesize quantitative evidence about the factors that influence public views on forensic DNA testing in the criminal field. Based on a systematic search conducted in January 2019, a scoping review was performed, targeting studies presenting original empirical data that were indexed in Web of Science and PubMed. The two authors performed eligibility and data extraction. RESULTS: The 11 studies were conducted mainly in European countries (Italy, Portugal, Serbia, Spain, Switzerland) and the remaining derived from the USA and New Zealand. Non-representative samples were mostly used to explore the benefits and risks of criminal DNA databases, criteria for insertion and retention of DNA samples and profiles, knowledge, willingness to donate a DNA sample, and custody. The value of forensic DNA databases in protecting society from crime was emphasized. Concerns about improper access to forensic genetic data and risks to civil liberties associated with its uses were expressed. The scarce literature on Forensic DNA Phenotyping and familial searching revealed the same trend of positively valuing forensic DNA testing. Only factors related with socioeconomic position were assessed by more than two studies. Results suggested that public views on forensic DNA testing are influenced by the level of education, age, and exposure to law enforcement occupations although not in a straightforward manner. CONCLUSION: Further empirical research should assess standardized factors related with social and structural levels (e.g., scientific literacy, public trust in the justice system and concerns about victimization or police activity) and be performed in different national jurisdictions to enable generalization and comparison of findings. It is needed to expand empirical studies on public views about the commercialization of forensic science and the use of recent controversial techniques and new transparency and accountability models.

Development of a core SNP panel for cacao (Theobroma cacao L.) identity analysis.

Single nucleotide polymorphisms (SNPs) are preferred markers for DNA fingerprinting and diversity studies in cacao (Theobroma cacao L.). Yet, a consensus SNP panel with a minimum number of SNPs for optimal identity analysis is unavailable for cacao. An initial set of 146 SNP panels of varying sizes were assembled based on heterozygosity, linkage disequilibrium (LD), linkage group (LG) distribution, major allele frequency, minor allele frequency (MiAF), polymorphism information content (PIC), and random distribution. These panels were assessed to determine their ability to distinguish among a training set of 155 accessions. The panels with the best separation ability were supplemented with additional SNPs to create 16 designer panels, which separated all 155 accessions. The 16 designer SNP panels were then assessed on a dataset of 1220 accessions coming from 10 ancestral groups. Increasing the number of SNPs generally yielded improved resolution of genetic identities with concomitant reduction of synonymous groups. The number and choice of SNPs were critical factors with LD, MiAF, and PIC being important selection attributes but an even LG distribution was unnecessary. A robust set of 96 SNPs is recommended as a minimal core SNP panel for cacao DNA fingerprinting to the international cacao community.

Fingerprint identification of white clover cultivars based on SSR molecular markers.

White clover (Trifolium repens L.) is an important perennial legume forage with high productivity and quality. To strengthen the basic research on the genetic characteristics, fingerprint identification and adaptability of white clover germplasm resources, Simple sequence repeat (SSR) molecular markers were applied to 10 white clover cultivars to assess the genetic diversity and related lines of white clover at the molecular level in order to lay a theoretical foundation for the selection of high-quality seeds and cultivars of white clover. A total of 120 different bands were amplified by 29 pairs of SSR primers with good polymorphism, of which 103 (89.5%) were polymorphic. Meanwhile, the PIC of each primer was 0.181-0.588, with an average of 0.329. Analysis of molecular variance revealed that 57% of the genetic variation occurred within cultivars and 43% occurred among cultivars. The results of cluster analysis and the principal coordinate analysis revealed that the parental relationships of the 10 cultivars, with the 'Purple' cultivar very distantly related to the other 9 cultivars and the closest parental relationship between 'Ladino' and 'Sulky'. The fingerprints constructed by three representative primers (gtrs679, gtrs319, and gtrs678) have a strong identification ability. In summary, the SSR markers had good polymorphism and could be used for DNA fingerprint analysis of white clover cultivars.

[DNA fingerprinting identification of bile power(bile)medicines].

The pig bile powder, bovine bile powder, snake bile, sheep bile, goose bile powder, and bear bile powder were contained by the Chinese Pharmacopoeia. The bile power medicine has a long history in traditional Chinese medicine and definite effect. However, the medicine of bile powder(bile) are similar in morphology. Besides, many medicine lack specific microscopic identification characteristics and chemical characteristics. There is a risk of adulteration, especially when the fake medicine were mixed in authentic medicine, it is difficult to detection. The key to control the quality and ensures the clinical efficacy is the good or bad, true or false of the bile power medicine. The STR typing technology is a method that according to differential typing of PCR amplified lengths to compare and identify individual organisms. Based on the principle of STR typing, the easily, rapid DNA fingerprinting method to identify the bile power and adulteration was established.The original animal or bile powder of pigs, cattle, sheep, chickens, ducks, geese, snakes, bears, fish were collected, the 12 S-L1091/12 S-H1478 and 16 S-L3428/16 S-H3667 was obtained by sifted, the DNA fingerprinting of the bile power and adulteration was obtained by STR typing. Every species has different STR fingerprints, so different species can be identified. Besides, the fingerprints have both the authentic and fake's information, the adulteration of authentic and fake can be identified. Therefore, the method to identify the bile power and adulteration was achieved through the combination of two primers. The DNA fingerprinting method established in this study can also be used for other animal medicine.