Comparative analysis of the effectiveness of STR and SNP markers for intraspecific and interspecific differentiation of the genus <Emphasis Type="Italic">Ovis</Emphasis>

A comparative study of the informativeness of SNP and STR markers for interspecific and intraspecific differentiation of the two species of the genus Ovis, snow sheep (O. nivicola) and domestic sheep (O. aries), was conducted. Eleven STR loci combined into two multiplex panels were examined. SNP analysis was performed with the DNA microarray OvineSNP50K BeadChip featuring 54241 SNPs. The possibility of clear differentiation of the studied Ovis species with both types of genetic markers was demonstrated. The advantages of SNP markers for intraspecific differentiation of the O. aries breeds and O. nivicola geographical groups were revealed. The areas of application of the studied types of DNA markers are discussed.     

The effects of polymorphisms in <Emphasis Type="Italic">growth hormone</Emphasis> and <Emphasis Type="Italic">growth hormone receptor</Emphasis> genes on production and reproduction traits in Aberdeen-Angus cattle (<Emphasis Type="Italic">Bos taurus</Emphasis> L., 1758)

The study was aimed to analyze the relation between individual genotypes and allelic variants of SNPs g.2141C>G of growth hormone gene, g.914T>A and g.257A>G of growth hormone receptor gene with growth and reproduction traits and to evaluate the populationgenetic structure in Aberdeen-Angus cattle (Bos taurus L., 1758) sample of Eastern Ukraine according SNPs studied. Allele C of SNP g.2141C>G has a positive correlation with birth weight, body stature, bigger rump, udder and total exterior evaluation score, shorter calving interval and better calve birth weight and negative correlation with calve average daily gain. Allele T of SNP g.914T>A has positive correlation with the muscle and udder size; live weight in each age, average daily gain, weight and average daily gain of calves born conform to the principle AA>TT≥TA. SNP g.257A>G showed a positive correlation for G allele with muscle size. The population is in equilibrium for SNPs g.2141C>G and g.257A>G, and in disequilibrium for SNP g.914T>A. The analysis showed no linkage disequilibrium between SNPs g.914T>A and g.257A>G. Inbreeding coefficient F_ST in Aberdeen-Angus group studied was 16.1%.     

Single nucleotide polymorphism markers for rapid detection of the <Emphasis Type="Italic">Rsv4</Emphasis> locus for soybean mosaic virus resistance in diverse germplasm

Soybean mosaic virus (SMV) causes a substantial decrease in soybean yield and reduction of seed quality. The most effective management strategy to control the virus is the deployment of host resistance. Seven SMV strains and three independent multi-allelic loci for SMV resistance have been identified previously. The goal of this research was to detect single nucleotide polymorphisms (SNPs) associated with SMV resistance at the Rsv4 locus. Ten soybean accessions, with confirmed resistance genes, were used for sequencing the candidate gene Glyma.02g121400. Alignment of these sequences revealed three SNPs displaying 100% consistency for genotypes carrying the Rsv4 gene. These SNPs were applied for a rapid screen of diverse soybean germplasm using the Sequenom iPLEX Gold platform, phenotyped with SMV-G1 and G7 strains to determine phenotype and classified into several groups carrying the proposed R-gene. The population of V94-5152 (Rsv4) × Lee 68 (rsv) was screened using novel SNPs to create a genetic map with improved resolution to determine the location of the Rsv4. To observe the recombination frequencies within the population, three additional SNPs on both sides of the Glyma.02g121400 gene were added. A linkage map revealed a distance of 3.6 cM between the Rsv4 locus and the closest SNP, thus shifting the putative Rsv4 region downstream on chromosome 2. With this region, five candidate genes have been proposed. The genomic position of the discovered SNPs, linked to the Rsv4, could increase screening precision and accelerate breeding efforts to develop multi-strain-resistant crops.     

Genome-wide single nucleotide polymorphisms (SNPs) for a model invasive ascidian <Emphasis Type="Italic">Botryllus schlosseri</Emphasis>

Invasive species cause huge damages to ecology, environment and economy globally. The comprehensive understanding of invasion mechanisms, particularly genetic bases of micro-evolutionary processes responsible for invasion success, is essential for reducing potential damages caused by invasive species. The golden star tunicate, Botryllus schlosseri, has become a model species in invasion biology, mainly owing to its high invasiveness nature and small well-sequenced genome. However, the genome-wide genetic markers have not been well developed in this highly invasive species, thus limiting the comprehensive understanding of genetic mechanisms of invasion success. Using restriction site-associated DNA (RAD) tag sequencing, here we developed a high-quality resource of 14,119 out of 158,821 SNPs for B. schlosseri. These SNPs were relatively evenly distributed at each chromosome. SNP annotations showed that the majority of SNPs (63.20%) were located at intergenic regions, and 21.51% and 14.58% were located at introns and exons, respectively. In addition, the potential use of the developed SNPs for population genomics studies was primarily assessed, such as the estimate of observed heterozygosity (H _O ), expected heterozygosity (H _E ), nucleotide diversity (π), Wright’s inbreeding coefficient (F _IS ) and effective population size (Ne). Our developed SNP resource would provide future studies the genome-wide genetic markers for genetic and genomic investigations, such as genetic bases of micro-evolutionary processes responsible for invasion success.     

QTL mapping of mandarin (<Emphasis Type="Italic">Citrus reticulata</Emphasis>) fruit characters using high-throughput SNP markers

Seedlessness, flavor, and color are top priorities for mandarin (Citrus reticulata Blanco) cultivar improvement. Given long juvenility, large tree size, and high breeding cost, marker-assisted selection (MAS) may be an expeditious and economical approach to these challenges. The objectives of this study were to construct high-density mandarin genetic maps and to identify single nucleotide polymorphism (SNP) markers associated with fruit quality traits. Two parental genetic maps were constructed from an F₁ population derived from ‘Fortune’ × ‘Murcott’, two mandarin cultivars with distinct fruit characters, using a 1536-SNP Illumina GoldenGate assay. The map for ‘Fortune’ (FOR) consisted of 189 SNPs spanning 681.07 cM and for ‘Murcott’ (MUR) consisted of 106 SNPs spanning 395.25 cM. Alignment of the SNP sequences to the Clementine (Citrus clementina) genome showed highly conserved synteny between the genetic maps and the genome. A total of 48 fruit quality quantitative trait loci (QTLs) were identified, and ten of them stable over two or more samplings were considered as major QTLs. A cluster of QTLs for flavedo color space values L, a, b, and a/b and juice color space values a and a/b were detected in a single genomic region on linkage group 4. Two carotenoid biosynthetic pathway genes, pds1 and ccd4, were found within this QTL interval. Several SNPs were potentially useful in MAS for these fruit characteristics. QTLs were validated in 13 citrus selections, which may be useful in further validation and tentative MAS in mandarin fruit quality improvement.     

Association analysis of the glutelin synthesis genes <Emphasis Type="Italic">GluA</Emphasis> and <Emphasis Type="Italic">GluB1</Emphasis> in a <Emphasis Type="Italic">Japonica</Emphasis> rice collection

Glutelin is the most significant seed storage protein and is regarded as an important nutrient quality trait in rice. Research on the genetic basis of the glutelin content distinction in rice will provide more choices for the diets of people with kidney disease and diabetes. The GluA and GluB1 genes play important roles in the process of glutelin synthesis. In this study, 128 Japonica rice accessions with wide geographic distributions were collected to construct the association panel. Among all the 128 accessions, both sequences of the GluA and GluB1 genes were obtained, and nucleotide polymorphisms were detected. A total of 46 SNPs and eight InDels, six SNPs and four InDels were found in the GluA and GluB1 gene sequences, respectively. Eight haplotypes and two haplotypes were classified based on the SNPs in the coding region of the GluA and GluB1 genes, respectively. Moreover, the association of the polymorphic sites in the two genes with glutelin content in the tested population was estimated. The results revealed that five SNPs in the GluA gene, one SNP and one InDel in the GluB1 gene were associated with glutelin content at a significant level (P < 0.01). Corresponding markers were also designed to check the alleles of GluA and GluB1 genes. These results suggested that polymorphisms in the GluA and GluB1 genes in rice could be utilized in molecular marker-assisted selection to improve the nutrient quality of rice breeding programmes.     

Molecular mapping of powdery mildew resistance gene <Emphasis Type="Italic">PmSGD</Emphasis> in Chinese wheat landrace Shangeda using RNA-seq with bulk segregant analysis

Wheat powdery mildew, caused by the fungal pathogen Blumeria graminis f. sp. tritici (Bgt), is one of the most devastating diseases of wheat in China and causes serious yield losses. Resistance genes are urgently needed by wheat breeding programs to combat this disease. In the present study, genetic analysis of powdery mildew resistance was conducted on segregated F₂ and F_2:3 populations derived from the cross of Shangeda (providing good resistance to powdery mildew) and Chancellor (susceptible to powdery mildew). The results showed that the resistance of Shangeda to E09 was controlled by a single recessive gene, tentatively designated as PmSGD. In addition, RNA sequencing of the parental lines Shangeda and Chancellor and the corresponding bulked pools derived from homozygous resistant or susceptible F_2:3 lines was implemented to identify single-nucleotide polymorphisms (SNPs). The PmSGD gene was estimated to be located in the 240–250-Mb region of chromosome 7B based on the characteristics of putative SNP loci distributed on 21 wheat chromosomes. Among the developed SNP markers, 17 (57%) markers were linked to PmSGD flanked by SNP2-57 and SNP2-46, with genetic distances of 0.4 and 0.8 cM, respectively. The reaction patterns of Shangeda and cultivars (lines) carrying the Pm5e, Pmhym, mlxbd, and PmTm4 genes to 22 Bgt isolates indicated that PmSGD may be allelic or very closely linked to those genes. All of the SNP loci linked to PmSGD were used to test 38 cultivars with known Pm gene(s), and the results suggested that these SNP loci are useful for pyramiding PmSGD by marker-assisted selection.     

Stable levels of <Emphasis Type="Italic">Coxiella burnetii</Emphasis> prevalence in dairy sheep flocks but changes in genotype distribution after a 10-year period in northern Spain

Bulk tank milk (BTM) samples were collected from 81 sheep flocks in the Basque Country, Spain, in 2015 and were analysed for antibodies against Coxiella burnetii by ELISA and for C. burnetii DNA by real-time PCR. Thirty-two percent of the flocks had BTM antibodies against C. burnetii. Presence of C. burnetii DNA in BTM was detected in 23% of the flocks, suggesting recent C. burnetii infections. Retrospective data of BTM samples obtained from 154 sheep flocks investigated in 2005 in the same geographic area were compiled to assess temporal changes in C. burnetii infection. The overall percentage of infected sheep flocks did not significantly change after the 10-year period. Among the 46 flocks sampled in both periods, 11 flocks that were negative in 2005 were positive in 2015, 18 maintained their initial status (positive or negative), and 17 positive flocks were negative in 2015. These findings indicate that C. burnetii infection is a dynamic process in dairy sheep in northern Spain. Single nucleotide polymorphism (SNP) genotyping of positive samples identified three genotypes, SNP1 being the most prevalent in 2015 and SNP8 in 2005; SNP4 was only detected once in 2005. These results suggest possible changes in the pattern of genotype infection over time.     

Single nucleotide polymorphisms in <Emphasis Type="Italic">TaER</Emphasis> genes and their association with carbon isotope discrimination in wheat genotypes under drought

Candidate gene association studies implicate the detection of contributing single nucleotide polymorphism (SNP) for the target traits and have been recommended as a promising technique to anatomize the complex characters in plants. The ERECTA gene in plants controls different physiological functions. In this study, we identified SNPs in 1.1 kb partial sequences of TaER-1 and TaER-2 of wheat (Triticum aestivum L.). Thirty-nine SNPs were identified in the coding regions of TaER-1 gene in 33 wheat genotypes, of which 20 SNPs caused non-synonymous mutations while 19 SNPs produced synonymous mutations; 31 SNPs were located in the coding regions of TaER-2 gene in 26 genotypes, of which 18 SNPs caused non-synonymous mutations and 13 SNPs caused synonymous mutations. In addition, 32 SNPs in TaER-1 and 9 SNPs in TaER-2 were also identified in the non-coding regions. Moreover, the significant genetic associations of SNPs of TaER-1 and TaER-2 genes with carbon isotope discrimination, stomatal conductance, photosynthetic rate, transpiration rate, intrinsic water use efficiency (iWUE), leaf length, leaf width, stomatal density, epidermal cell density, and stomatal index were noted in wheat genotypes. This study confirms the importance of TaER-1 and TaER-2 genes which could improve iWUE of wheat by regulating leaf gas exchange and leaf structural traits. These identified SNPs may play a critical role in molecular breeding by means of marker-assisted selection.     

Composition and diversity of the bacterial community in snow leopard (<Emphasis Type="Italic">Uncia uncia</Emphasis>) distal gut

Intestinal microflora influences many essential metabolic functions, and is receiving increasing attention from the scientific community. However, information on intestinal microbiota, especially for large wild carnivores, is insufficient. In the present study, the bacterial community in the feces of snow leopards (Uncia uncia) was described based on 16S rRNA gene sequence analysis. A total of 339 near-full-length 16S rRNA gene sequences representing 46 non-redundant bacterial phylotypes (operational taxonomical units, OTUs) were identified in fecal samples from four healthy snow leopards. Four different bacterial phyla were identified: Firmicutes (56.5 %), Actinobacteria (17.5 %), Bacteroidetes (13 %), and Proteobacteria (13 %). The phylum Actinobacteria was the most abundant lineage, with 40.4 % of all identified clones, but Clostridiales, with 50 % of all OTUs, was the most diverse bacterial order. The order Clostridiales was affiliated with four families: Clostridiaceae I, Lachnospiraceae, Peptostreptococcaceae, and Ruminococcaceae. Lachnospiraceae was the most diverse family with 17 OTUs identified. These findings were basically consistent with previous reports on the bacterial diversity in feces from other mammals.     

Genomic structure,expression and association study of the porcine <Emphasis Type="Italic">FSD2</Emphasis>

The fibronectin type III and SPRY domain containing 2 (FSD2) on porcine chromosome 7 is considered a candidate gene for pork quality, since its two domains, which were present in fibronectin and ryanodine receptor. The fibronectin type III and SPRY domains were first identified in fibronectin and ryanodine receptor, respectively, which are candidate genes for meat quality. The aim of this study was to elucidate the genomic structure of FSD2 and functions of single nucleotide polymorphisms (SNPs) within FSD2 that are related to meat quality in pigs. Using a bacterial artificial chromosome clone sequence, we revealed that porcine FSD2 consisted of 13 exons encoding 750 amino acids. In addition, FSD2 was expressed in heart, longissimus dorsi muscle, psoas muscle, and tendon among 23 kinds of porcine tissues tested. A total of ten SNPs, including four missense mutations, were identified in the exonic region of FSD2, and two major haplotypes were obtained based on the SNP genotypes of 633 Berkshire pigs. Both haplotypes were associated significantly with intramuscular fat content (IMF, P < 0.020) and moisture percentage (MP, P < 0.002). Moreover, haplotype 2 was associated with meat color, affecting yellowness (P = 0.002). These haplotype effects were further supported by the alteration of putative protein structures with amino acid substitutions. Taken together, our results suggest that FSD2 haplotypes are involved in regulating meat quality including IMF, MP, and meat color in pigs, and may be used as meaningful molecular makers to identify pigs with preferable pork quality.     

SNP-based pool genotyping and haplotype analysis accelerate fine-mapping of the wheat genomic region containing stripe rust resistance gene <Emphasis Type="Italic">Yr26</Emphasis>

Key message

NGS-assisted super pooling emerging as powerful tool to accelerate gene mapping and haplotype association analysis within target region uncovering specific linkage SNPs or alleles for marker-assisted gene pyramiding.

Abstract

Conventional gene mapping methods to identify genes associated with important agronomic traits require significant amounts of financial support and time. Here, a single nucleotide polymorphism (SNP)-based mapping approach, RNA-Seq and SNP array assisted super pooling analysis, was used for rapid mining of a candidate genomic region for stripe rust resistance gene Yr26 that has been widely used in wheat breeding programs in China. Large DNA and RNA super-pools were genotyped by Wheat SNP Array and sequenced by Illumina HiSeq, respectively. Hundreds of thousands of SNPs were identified and then filtered by multiple filtering criteria. Among selected SNPs, over 900 were found within an overlapping interval of less than 30 Mb as the Yr26 candidate genomic region in the centromeric region of chromosome arm 1BL. The 235 chromosome-specific SNPs were converted into KASP assays to validate the Yr26 interval in different genetic populations. Using a high-resolution mapping population (>?30,000 gametes), we confined Yr26 to a 0.003-cM interval. The Yr26 target region was anchored to the common wheat IWGSC RefSeq v1.0 and wild emmer WEWSeq v.1.0 sequences, from which 488 and 454 kb fragments were obtained. Several candidate genes were identified in the target genomic region, but there was no typical resistance gene in either genome region. Haplotype analysis identified specific SNPs linked to Yr26 and developed robust and breeder-friendly KASP markers. This integration strategy can be applied to accelerate generating many markers closely linked to target genes/QTL for a trait of interest in wheat and other polyploid species.

     

Combination of newly developed SNP and InDel markers for genotyping the <Emphasis Type="Italic">Cf-9</Emphasis> locus conferring disease resistance to leaf mold disease in the tomato

The Cf-9 gene in the tomato is known to confer resistance against leaf mold disease caused by Cladosporium fulvum, and a gene-based marker targeted to the Cf-9 allele has been widely used as a crop protection approach. However, we found this marker to be misleading in genotyping. Therefore, we developed new single-nucleotide polymorphism (SNP) and insertion and deletion (InDel) markers targeted to the Cf-9 allele in order to increase genotyping accuracy and facilitate high-throughput screening. The DNA sequences of reported Cf-9, cf-9, Cf-0, and closely related Cf-4 alleles were compared, and two functional and non-synonymous SNPs were found to distinguish the Cf-9 resistance allele from the cf-9, Cf-0, and Cf-4 alleles. An SNP marker including these two SNPs was developed and applied to the genotyping of 33 tomato cultivars by high-resolution melting analysis. Our SNP marker was able to select all three Cf-9 genotypes (resistant, heterozygous, and susceptible alleles). Interestingly, two cultivars were grouped separately from these three genotypes. To further examine this outgroup, we preformed polymerase chain reaction (PCR) on two InDel regions identified by sequence comparison of the Cf-9 and Cf-4 genes. The band patterns revealed that these two cultivars carried Cf-4 rather than Cf-9 alleles and that three cultivars classified in the Cf-9 resistance group actually carried both Cf-9 and Cf-4 genes. To determine whether these genotyping results were consistent with disease resistance phenotypes, we examined the induction of a hypersensitive response by transiently expressing the corresponding effector genes, and found that the results matched perfectly with the genotyping results. These findings indicate that the combination of our SNP and InDel markers allows resistant Cf-9 alleles to be distinguished from cf-9 and Cf-4 alleles, which will be useful for marker-assisted selection of tomato cultivars resistant to C. fulvum.     

Characterization of a novel y-type high molecular weight glutenin subunit at <Emphasis Type="Italic">Glu-D1</Emphasis> locus

Glu-D1y12.K as a novel y-type subunit was found in HMW-GSs encoded at the Glu-D1 locus in the JB20, which a Korean wheat line from F₉ lines crossed by Keumkang with Glu-D1d and Chinese Spring (CS) with Glu-D1a alleles. This novel subunit shows faster electrophoretic mobility and lower molecular weight than Dy12 subunit on sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). The result of linear ion-trap and Fourier-transform mass spectrometry (LTQ-FT-MS) based on two-dimensional electrophoresis (2-DE) showed that the Dy12.K subunit has high similarity against protein ID: P08488 (GLT3_WHEAT) as ‘Glutenin, high molecular weight subunit 12’ form UniProtKB. The gene of the Glu-1Dy12.K subunit is composed of 1962 nucleotide base pairs containing open reading frame (ORF) as 652 amino acids corresponding to about 70.1 kDa. It has four indels (36 bp insertions: two repeated 18 and 24 bp deletion: two deletions with 6?+?18 bp) and 21 SNPs compared to Glu-1Dy10 (GI: 164457872 in NCBI), and one deletion (18 bp) and three SNPs compared to Glu-1Dy12 (GI: 1036031968) by DNA markers. Consequentially, in comparison with Dy10, 13 SNPs were non-synonymous SNPs and eight SNPs were synonymous SNPs of 21 SNPs. In comparison with Dy12, only one SNP was non-synonymous SNP of three SNPs. Furthermore, the deduced peptide sequences as ‘TGQGQQ’ corresponding to ‘AACAGGACAAGGGCAACA’ are deleted only in the Dy12.K subunit.     

Development of single nucleotide polymorphism markers in the large and complex rubber tree genome using next-generation sequence data

The development of single nucleotide polymorphism (SNP) markers provides the opportunity to improve many areas of plant breeding and population genetics. Unfortunately, for species such as the rubber tree (Hevea brasiliensis), the use of next-generation sequencing for genomic SNP discovery is very difficult because of the large genome size and the abundance of repeated sequences. Access to a set of validated SNP markers is a significant advantage for rubber researchers who wish to apply SNPs in scientific research. Here, we performed genomic sequencing of H. brasiliensis and generated 10,993,648 short reads, which were assembled into 10,071 contigs (N50 = 3078) by a de novo assembly strategy. A total of 2446 contigs presented no hits in the current H. brasiliensis genome assembly and may therefore be considered novel genomic sequences of rubber tree. A total of 143 putative polymorphic positions were selected, gene annotations were available for 58.7 % of the markers, and all of the sequences could be anchored to the released H. brasiliensis genome. These SNPs were validated in eight genotypes of H. brasiliensis and 15 F1 plants from a mapping population, resulting in 30 (20.9 %) positions correctly classified. The analysis revealed key candidate genes responsible for defence mechanisms and provided markers for further genetic improvement of Hevea in breeding programmes.     

Molecular markers for adult plant leaf rust resistance gene <Emphasis Type="Italic">Lr48</Emphasis> in wheat

Leaf rust of wheat, caused by Puccinia triticina, is an important disease throughout the world. The adult plant leaf rust resistance gene Lr48 reported in CSP44 was previously mapped in chromosome 2B, but the marker–gene association was weak. In this study, we confirmed the location of Lr48 to be in the short arm of chromosome 2B and identified closely linked markers suitable for use in breeding. The CSP44/WL711 recombinant inbred line (RIL) population (90 lines) showed monogenic segregation for Lr48. Twelve resistant and 12 susceptible RILs were used for selective genotyping using an iSelect 90K Infinium SNP assay. Closely linked SNPs were converted into Kompetitive allele-specific primers (KASP) and tested on the parental lines. KASP markers giving clear clusters for alternate genotypes were assayed on the entire RIL population. SNP markers IWB31002, IWB39832, IWB34324, IWB72894 and IWB36920 co-segregated with Lr48 and the marker IWB70147 was mapped 0.3 cM proximal to this gene. Closely linked KASP markers were tested on a set of Australian and Nordic wheat genotypes. The amplification of SNP alleles alternate to those linked with Lr48 in the majority of the Australian and Nordic wheat genotypes demonstrated the usefulness of these markers for marker-assisted pyramiding of Lr48 with other rust resistance genes.     

Development of species diagnostic SNP markers for quality control genotyping in four rice (<Emphasis Type="Italic">Oryza</Emphasis> L.) species

Species misclassification (misidentification) and handling errors have been frequently reported in various plant species conserved at diverse gene banks, which could restrict use of germplasm for correct purpose. The objectives of the present study were to (i) determine the extent of genotyping error (reproducibility) on DArTseq-based single-nucleotide polymorphisms (SNPs); (ii) determine the proportion of misclassified accessions across 3134 samples representing three African rice species complex (Oryza glaberrima, O. barthii, and O. longistaminata) and an Asian rice (O. sativa), which are conserved at the AfricaRice gene bank; and (iii) develop species- and sub-species (ecotype)-specific diagnostic SNP markers for rapid and low-cost quality control (QC) analysis. Genotyping error estimated from 15 accessions, each replicated from 2 to 16 times, varied from 0.2 to 3.1%, with an overall average of 0.8%. Using a total of 3134 accessions genotyped with 31,739 SNPs, the proportion of misclassified samples was 3.1% (97 of the 3134 accessions). Excluding the 97 misclassified accessions, we identified a total of 332 diagnostic SNPs that clearly discriminated the three indigenous African species complex from Asian rice (156 SNPs), O. longistaminata accessions from both O. barthii and O. glaberrima (131 SNPs), and O. sativa spp. indica from O. sativa spp. japonica (45 SNPs). Using chromosomal position, minor allele frequency, and polymorphic information content as selection criteria, we recommended a subset of 24 to 36 of the 332 diagnostic SNPs for routine QC genotyping, which would be highly useful in determining the genetic identity of each species and correct human errors during routine gene bank operations.