This study investigates the genetic diversity and evolutionary relationships of different Artemisia argyi germplasm resources to provide a basis for germplasm identification, variety selection, and resource protection. A total of 192 germplasm resources of A. argyi were studied, and EST-based simple sequence repeat(EST-SSR) primers were designed based on transcriptomic data of A. argyi. Polymerase chain reaction(PCR) amplification was performed on these resources, followed by fluorescence capillary electrophoresis to detect genetic diversity and construct DNA fingerprints. From 197 pairs of primers designed, 28 pairs with polymorphic and clear bands were selected. A total of 278 alleles were detected, with an average of 9.900 0 alleles per primer pair and an average effective number of alleles of 1.407 2. The Shannon's diversity index(I) for the A. argyi germplasm resources ranged from 0.148 1 to 0.418 0, with an average of 0.255 7. The polymorphism information content(PIC) ranged from 0.454 5 to 0.878 0, with an average of 0.766 9, showing high polymorphism. Cluster analysis divided the A. argyi germplasm resources into three major groups: Group Ⅰ contained 136 germplasm samples, Group Ⅱ contained 45, and Group Ⅲ contained 11. Principal component analysis also divided the resources into three groups, which was generally consistent with the clustering results. Mantel test results showed that the genetic variation in A. argyi populations was to some extent influenced by geographic distance, but the effect was minimal. Structure analysis showed that 190 germplasm materials had Q≥ 0.6, indicating that these germplasm materials had a relatively homogeneous genetic origin. Furthermore, 8 core primer pairs were selected from the 28 designed primers, which could distinguish various germplasm types. Using these 8 core primers, DNA fingerprints for the 192 A. argyi germplasm resources were successfully constructed. EST-SSR molecular markers can be used to study the genetic diversity and phylogenetic relationships of A. argyi, providing theoretical support for the identification and molecular-assisted breeding of A. argyi germplasm resources.
Artemisia/classification* ; Microsatellite Repeats ; Genetic Variation ; Expressed Sequence Tags ; DNA Fingerprinting ; Phylogeny ; Polymorphism, Genetic ; DNA, Plant/genetics* ; Genetic Markers

Forsythia suspensa is a traditional Chinese medicine and a commonly used landscaping plant. Its dried fruit is used in medicine for its functions of clearing heat, removing toxins, reducing swelling, dissipating masses, and dispersing wind and heat. It possesses extremely high medicinal and economic value. However, the genetic differentiation and diversity of its wild populations remain unclear. In this study, chloroplast genome sequences were obtained from 15 wild individuals of F. suspensa using high-throughput sequencing technology. The sequence characteristics and intraspecific variations were analyzed. The results were as follows:(1) The full length of the F. suspensa chloroplast genome ranged from 156 184 to 156 479 bp, comprising a large single-copy region, a small single-copy region, and two inverted repeat regions. The chloroplast genome encoded a total of 132 genes, including 87 protein-coding genes, 37 tRNA genes, and 8 rRNA genes.(2) A total of 166-174 SSR loci, 792 SNV loci, and 63 InDel loci were identified in the F. suspensa chloroplast genome, indicating considerable genetic variation among individuals.(3) Population structure analysis revealed that F. suspensa could be divided into five or six groups. Both the population structure analysis and phylogenetic reconstruction results indicated significant genetic variation within the wild populations of F. suspensa, with no obvious correlation between intraspecific genetic differentiation and geographical distribution. This study provides new insights into the genetic diversity and differentiation within F. suspensa species and offers additional references for the conservation of species diversity and the utilization of germplasm resources in wild F. suspensa.
Genome, Chloroplast ; Forsythia/classification* ; Phylogeny ; Genetic Variation ; Chloroplasts/genetics* ; Microsatellite Repeats

OBJECTIVE: To investigate the relationship between Ig class switch recombination (CSR) and mismatch repair (MMR) protein, microsatellite phenotype in extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT lymphoma). METHODS: Forty cases of MALT lymphoma archived in the Department of Pathology, Jiading District Central Hospital, Shanghai University of Medicine & Health Sciences were selected as the observation group, and twenty cases of benign lymphoid tissue hyperplasia were as the control group. The expressions of IgG, IgM, IgD, and IgA in both groups were detected by immunohistochemical double staining, and MMR proteins including MLH1, MSH2, MSH6, and PMS2 in both groups were detected by immunohistochemistry. Multiplex fluorescence PCR capillary electrophoresis was used to detect microsatellite phenotype in tumor and adjacent tissues of the experimental group. RESULTS: In the observation group, the proportions of single Ig heavy chain expression (modeⅠ), negative expression (modeⅡ), and multiple expression (mode Ⅲ) were 65% (26/40), 27.5% (11/40), and 7.5% (3/40), respectively, while in the control group were 0 (0/20), 5% (1/20), and 95% (19/20). The proportion of Ig heavy chain expression mode Ⅰ+Ⅱ in the observation group was 92.5%, which was significantly higher than 5% in the control group (P < 0.01). In the observation group, partial deletion of MMR protein was observed in 3 cases (7.5%), including 2 cases of MSH6 deletion and 1 case of both MSH6 and PMS2 deletion. In the control group, there was 1 case (5%) with PMS2 deletion. There was no significant difference in the deletion rate of MMR protein between the two groups ( P >0.05). A total of 5 cases of microsatellite instability (MSI) were detected in the observation group, including 1 case of low-frequency MSI (MSI-L), 4 cases of high-frequency MSI (MSI-H), and 2 cases of MSI-H with MSH6 deletion. When the loss expression of MSI-H or MMR protein was counted as a positive result, the MSI-H rate detected by PCR capillary electrophoresis was 10% (4/40), which was slightly higher than the MMR protein deletion rate detected by immunohistochemistry (7.5%, 3/40), but there was no statistically significant difference between the two groups (P >0.05). The MMR protein deletion rates among the Ig heavy chain protein expression mode Ⅰ, mode Ⅱ, and mode Ⅲ groups were 0 (0/26), 18.2% (2/11), and 33.3% (1/3), respectively. There was a statistically significant difference in the constituent ratios among the three groups (P < 0.05). The MMR protein deletion rates among the MSS, MSI-L, and MSI-H groups were 2.9% (1/35), 0 (0/1), and 50% (2/4), respectively. There was a statistically significant difference in the constituent ratios among the three groups (P < 0.05). MMR protein deficiency was positively correlated with Ig heavy chain expression pattern and MSI ( r =0.41, P < 0.05; r =0.48, P < 0.05), but Ig heavy chain expression pattern was not correlated with MSI ( r =0.02, P >0.05). CONCLUSION Ig heavy chain CSR detection is helpful for the differential diagnosis of MALT lymphoma. Low frequency MMR protein deletion and MSI-H phenotype exist in MALT lymphoma, which may be of certain value for the study of its occurrence, development and clinical treatment.
Humans ; Lymphoma, B-Cell, Marginal Zone/genetics* ; DNA Mismatch Repair ; Immunoglobulin Class Switching ; DNA-Binding Proteins/metabolism* ; MutS Homolog 2 Protein ; Microsatellite Repeats ; Phenotype ; MutL Protein Homolog 1 ; Mismatch Repair Endonuclease PMS2 ; Male

We studied the genetic diversity and established the DNA molecular identify for Prunus mume with both ornamental and edible values, aiming to collect, identify, evaluate, and breed new varities of this plant and promote the upgrading of the P. mume industry chain in northern China. We employed 13 pairs of primers with good polymorphism, clear bands, and good repeatability to analyze the genetic diversity and establish the molecular identify of 68 germplasm accessions of P. mume with both ornamental and edible values from Xingtai, Hebei Province. We then employed the unweighted pair-group method with arithmetic means (UPGMA) to perform the cluster analysis based on genetic distance. After that, we analyzed the genetic structure of the 68 germplasm accessions based on a Bayesian model. The 13 pairs of SSR primers amplified a total of 124 alleles from 68 P. mume germplasm accessions, with the mean number of alleles (Na) of 9.538 5, the minor allele frequency (MAF) of 0.369 3, the mean number of effective alleles (Ne) of 4.483 5, and the mean Shannon genetic diversity index (I) of 1.712 4. The mean Nei's gene diversity index (H) of 0.763 7, the mean observed heterozygosity (Ho) of 0.719 5, the mean expected heterozygosity (He) of 0.769 3, the mean polymorphism information content (PIC) of 0.733 6, and the mean genetic similarity (GS) of 0.772 9 suggested that there were significant genetic differences and rich genetic diversity among the studied P. mume germplasm accessions. The cluster analysis revealed that the 68 accessions were classified into three groups, with the mean genetic distance of 0.622 6. The population structure analysis classified the germplasm accessions into two populations. According to the PIC of primers, we selected primers for combination and constructed the combination with the fewest primers required for germplasm differentiation of P. mume with both ornamental and edible values. This study provides a theoretical basis for the innovation and industrial upgrading of P. mume with both ornamental and edible values in gardening and the improvement of breeding efficiency.
Prunus/classification* ; Microsatellite Repeats/genetics* ; Genetic Variation ; China ; Phylogeny ; Polymorphism, Genetic ; DNA, Plant/genetics* ; Alleles

To promote the conservation and utilization of the germplasm resources and provide a basis for the breeding of new varieties of Murraya paniculata, this study analyzed the genetic diversity of the germplasm resources and developed the molecular identity(ID) card of M. paniculata. Multiple fluorescence PCR-capillary electrophoresis was performed for 65 germplasm accessions of M. paniculata based on 9 SSR markers identified from the M. paniculata genome, and the molecular weights and alleles of the amplified bands were analyzed. According to the banding patterns of the 9 SSR primers, this study analyzed the genetic diversity of each germplasm accession of M. paniculata and developed molecular ID cards for the test samples. The results showed that 9 pairs of SSR primers detected 78 alleles, with an average of 8.67 alleles. The observed and expected heterozygosity was 0.338-0.831(average of 0.601) and 0.413-0.853(average of 0.721), respectively. The Shannon's information index varied within the range of 0.880-1.994, with an average of 1.41. The polymorphic information content was within the range of 0.391-0.835, with an average of 0.696, which indicated rich genetic diversity. When the genetic identity was 0.347, the 65 germplasm accessions were classified into 5 groups. Based on the results, this study employed the 5 SSR primers with higher polymorphisms to develop the molecular ID cards for the germplasm resources of M. paniculata and created QR code ID cards for the 49 core germplasm accessions preserved in the Yunfu germplasm nursery, laying a foundation for the new variety breeding, production, utilization, and traceability of M. paniculata.
Microsatellite Repeats ; DNA, Plant/genetics* ; Murraya/classification* ; Genetic Variation ; Alleles ; Polymerase Chain Reaction ; Polymorphism, Genetic

To clarify the genetic diversity and structure of the nucleus population of F1-generation Litopenaeus vannamei, this study utilized 15 pairs of highly polymorphic microsatellite primers to analyze the simple sequence repeat (SSR) markers and genetic diversity in 15 full-sib families of L. vannamei. A total of 112 alleles (N_a) and 60.453 effective alleles (N_e) were identified among the selected 15 SSR loci, with the average polymorphic information content (PIC) of 0.648. The average N_e, observed heterozygosity (H_o), and expected heterozygosity (H_e) in the 15 F1 families varied from 1.925 to 2.626, 0.425 to 0.783, and 0.403 to 0.572, respectively. The 15 full-sib families were primarily clustered into three categories in the phylogenetic analysis, with the genetic distance between families ranging from 0.252 to 0.574. Additionally, the genetic differentiation coefficient (F_st) among the families varied from 0.112 to 0.278, indicating substantial genetic differentiation. Overall, this study suggested that the genetic diversity of the 15 full-sib families was moderate, providing valuable genetic insights for the subsequent breeding initiatives aimed at enhancing the tolerance of L. vannamei to high levels of soybean meal.
Penaeidae/classification* ; Microsatellite Repeats/genetics* ; Animals ; Genetic Variation ; Polymorphism, Genetic ; Phylogeny ; Alleles ; Genetic Markers

BACKGROUND: Microsatellite instability (MSI) is a key biomarker for cancer immunotherapy and prognosis. Integration of MSI testing into a next-generation-sequencing (NGS) panel could save tissue sample, reduce turn-around time and cost, and provide MSI status and comprehensive genomic profiling in single test. We aimed to develop an MSI calling model to detect MSI status along with the NGS panel-based profiling test using tumor-only samples. METHODS: From January 2019 to December 2020, a total of 174 colorectal cancer (CRC) patients were enrolled, including 31 MSI-high (MSI-H) and 143 microsatellite stability (MSS) cases. Among them, 56 paired tumor and normal samples (10 MSI-H and 46 MSS) were used for modeling, and another 118 tumor-only samples were used for validation. MSI polymerase chain reaction (MSI-PCR) was performed as the gold standard. A baseline was built for the selected microsatellite loci using the NGS data of 56 normal blood samples. An MSI detection model was constructed by analyzing the NGS data of tissue samples. The performance of the model was compared with the results of MSI-PCR. RESULTS: We first intersected the target genomic regions of the NGS panels used in this study to select common microsatellite loci. A total of 42 loci including 23 mononucleotide repeat sites and 19 longer repeat sites were candidates for modeling. As mononucleotide repeat sites are more sensitive and specific for detecting MSI status than sites with longer length motif and the mononucleotide repeat sites performed even better than the total sites, a model containing 23 mononucleotide repeat sites was constructed and named Colorectal Cancer Microsatellite Instability test (CRC-MSI). The model achieved 100% sensitivity and 100% specificity when compared with MSI-PCR in both training and validation sets. Furthermore, the CRC-MSI model was robust with the tumor content as low as 6%. In addition, 8 out of 10 MSI-H samples showed alternations in the four mismatch repair genes ( MLH1 , MSH2 , MSH6 , and PMS2 ). CONCLUSION MSI status can be accurately determined along the targeted NGS panels using only tumor samples. The performance of mononucleotide repeat sites surpasses loci with longer repeat motif in MSI calling.
Humans ; Microsatellite Instability ; Colorectal Neoplasms/diagnosis* ; Microsatellite Repeats/genetics* ; DNA Mismatch Repair

The present study aims to explore the genetic diversity of germplasm resources of Chrysanthemum×morifolium (hereinafter, C.×morifolium) at the molecular level and to establish a fingerprint database of C.×morifolium varieties. We employed 12 pairs of primers with high levels of polymorphism, clear bands, and high degrees of reproducibility to analyze the SSR molecular markers and genetic diversity of 91 C.×morifolium materials and 14 chrysanthemum- related materials. With regard to constructing the fingerprints of the tested materials, we chose 9 pairs of core primers. The findings revealed that 12 primer pairs detected 104 alleles in 105 samples, ranging from 2 to 26. The average number of observed alleles (N_a) per site was 9.25. The average number of effective alleles (N_e) per site was 2.745 6, with its range being 1.276 0 to 4.742 5. Shannon genetic diversity index (I) values ranged between 0.513 3 and 2.239 9 (M=1.209 0). Nei's gene diversity index (H) ranged between 0.216 3 and 0.789 1 (M=0.578 0). The observed heterozygosity (H_o) ranged between 0.223 3 and 0.895 2 (M=0.557 5). The expected heterozygosity (H_e) ranged between 0.217 4 and 0.793 3 (M=0.580 8). The polymorphism information content (PIC) ranged between 0.211 5 and 0.774 0 (M=0.532 9). The genetic similarity (GS) ranged between 0.228 5 and 1.000 0 (M=0.608 3). Cluster analysis revealed that when the genetic distance (GD) equals to 0.30, the tested materials can be classified into 2 groups. When the GD equals to 0.27, the first group can be divided into 6 subgroups; accordingly, 105 tested materials can be divided into 7 subgroups. The cophenetic correlation test was carried out based on the cluster analysis, and the corresponding results showed that the cluster map correlated with the genetic similarity coefficient (r=0.952 73). According to the results of Structure population analysis, we obtained the optimal population number, with the true number of populations (K) being 3 and the population being divided concerning Q≥0.5. Three subgroups, i.e., Q1, Q2 and Q3, included 34, 33 and 28 germplasms, respectively, and the remaining 10 germplasms were identified as the mixed population. During the experiment, 9 pairs of core primers were screened among the total of 12 for a complete differentiation regarding 105 tested materials, and the fingerprints of 91 C.×morifolium materials and 14 chrysanthemum-related materials were further constructed. Overall, there were significant genetic differences and rich genetic diversity among C.×morifolium materials, which would shed light on the garden application and variety selection fields of C.×morifolium. The fingerprint database of 105 C.×morifolium varieties and chrysanthemum-related species may provide technical support for future research regarding the identification and screening system of C.×morifolium varieties.
Genetic Variation ; Chrysanthemum/genetics* ; Reproducibility of Results ; Microsatellite Repeats/genetics* ; Polymorphism, Genetic ; Biomarkers ; Phylogeny

Tri-allelic pattern in autosomal STR is a common abnormal typing phenomenon in forensic DNA analysis, which brings difficulties and uncertainties to the evaluation of the evidence weight in actual cases. This paper reviews the types, formation mechanism, occurrence frequency, genetic pattern and quantitative evaluation of evidence of the tri-allelic pattern in autosomal STR in forensic DNA analysis. This paper mainly explains the formation mechanism and genetic patterns based on different types of tri-allelic pattern. This paper also discusses the determination of tri-allelic pattern and the quantitative method of evidence evaluation in paternity testing and individual identification. This paper aims to provide references for scientific and standardized analysis of this abnormal typing phenomenon in forensic DNA analysis.
Alleles ; DNA/genetics* ; Forensic Medicine ; Gene Frequency ; Microsatellite Repeats ; Humans

OBJECTIVES: To study the detection efficiency of trio full sibling with another known full sibling reference added under different number of autosomal STR typing systems. METHODS: Based on 43 detection systems consisting of 13 to 55 representative autosomal STR loci, 10 000 true families (full sibling group) and 10 000 false families (unrelated individual group) were randomly simulated. The full sibling index (FSI) was calculated based on the method of family reconstruction. The cumulative sibling relationship index (CFSI) of 0.000 1 and 10 000 were used as the evaluation thresholds, and the detection efficiency parameters were calculated and compared with the identification of the duo full sibling testing. RESULTS: With the increasing number of STR loci, the error rate and inability of judgement rate gradually decreased; the sensitivity, specificity, correct rate of judgment and other parameters gradually increased, and the system efficiency gradually improved. Under the same detection system, trio full sibling testing showed higher sensitivity, specificity, system efficiency and lower inability of judgement rate compared with duo full sibling testing. When the system efficiency was higher than 0.85 and inability of judgement rate was less than 0.01%, at least 20 STRs should be detected for trio full sibling testing, which was less than 29 STRs required by duo full sibling testing. CONCLUSIONS The detection efficiency of trio full sibling testing is superior to that of duo full sibling testing with the same detection system, which is an effective identification scheme for laboratories with inadequate detection systems or for materials with limited conditions.
Humans ; Siblings ; Microsatellite Repeats/genetics* ; DNA Fingerprinting ; Gene Frequency