Polymorphism Information Content Values Research Articles

Identification of polymorphic markers for germplasm conservation of three precious Chinese palace goldfish using whole-genome sequencing.

China was the first country in the world to breed goldfish and has generated many unique goldfish varieties, including the most aristocratic Chinese palace goldfish. Due to the lack of scientific research on Chinese palace goldfish, their selection and breeding are mainly carried out through traditional hybridization, leading to serious inbreeding and the degradation of germplasm resources. To this end, whole-genome resequencing was performed to understand the genetic variation among three different varieties (eggpompons, goosehead, and tigerhead) from nine core conserved populations in China. A total of 15 polymorphic SSRs were developed for population genetics, and all tested populations were considered moderately polymorphic with an average polymorphism information content value of 0.4943. Genetic diversity in different varieties showed that all conserved populations were well protected with the potential for continued exploitation. This study provides reliable molecular tools and a basis for designing conservation and management programs in Chinese palace goldfish.

Genetic variation among Brassica rapa subsp. rapa genotypes growing in Malatya/Türkiye

AbstractIn this study, the genetic variation of 18 Brassica rapa subsp. rapa genotypes grown in Malatya was determined using the inter simple sequence repeat - polymerase chain reaciton (ISSR-PCR). Using nine ISSR primers, a total of 73 bands were obtained and the polymorphism rate was 91.78%. The mean polymorphism information content value was determined as 0.3319. The mean gene diversity (H) value was determined as 0.4276. The mean major allele frequency value was determined as 0.6531. Similarity index values were determined to be between 0.0928 and 1.0924. The unweighted pair group method with arithmetic mean (UPGMA) dendrogram consisted of two groups. Principal component analysis analysis and UPGMA dendrogram were compatible. In addition, the groups in the phylogenetic trees were partially compatible with geographical distribution. Our results suggest that ISSR-PCR analysis is a suitable approach for breeding Brassica rapa subsp. rapa genotypes and developing different cultivars.

Genetic diversity of maize resources revealed by different molecular markers

AbstractMaize (Zea mays L.) is the third most important cereal crop in the world because of its nutritional value and industrial benefits. Molecular markers are used mainly by the breeders to study the genetic variability of genotypes and its application in the breeding process. Two types of molecular markers, 10 random amplified polymorphic DNA (RAPD) primers and 10 start codon target (SCoT) primers, were assayed to determine the genetic diversity of 25 Slovak maize lines and 25 maize cultivars. A high level of polymorphism was found with both RAPD and SCoT markers, which was confirmed by high average polymorphism information content (PIC) values using both techniques. The efficiency of individual marker techniques in the detection of genotype diversity can be compared by calculating the marker index (MI), detecting diversity index (DDI), discriminating power, resolving power (RP) and other indices. A higher MI (11.788), DDI (2.358) and RP (53.08) value was achieved by the SCoT technique compared to the RAPD method. Three joint dendrograms and PCoA plots constructed based on RAPD, SCoT and both methods combined confirmed the unambiguous separation of maize lines and cultivars from each other. The results obtained from the RAPD and SCoT analysis can be used for the selection of potentially suitable biological sources for further marker-assisted breeding.

Assessment of phenotypic and genotypic diversity in rice for salinity tolerance at reproductive stage

Soil salinity has turned out to be an important global concern, which affects tenable rice production in many agricultural countries like Bangladesh. A cross was made between Binadhan-7 with FL-478 for developing salt tolerant advance lines to assess phenotypic and genotypic diversity in rice for salinity tolerance. Twenty advance rice lines (Binadhan-7/FL-478) along with check varieties were screened for salinity tolerance at reproductive stage using sea site saline water having electrical conductivity (EC) 10 dS m-1. Among the twenty rice lines, seven lines were tolerant, three were moderately tolerant, six were susceptible, four were highly susceptible on the basis of phenotypic evaluation. Seven simple sequence repeat (SSR) markers linked with salt tolerance quantitative trait loci were used for investigation of salt tolerant rice lines. The result revealed that an average number of 6.286 alleles per locus were detected, with polymorphism information content (PIC) values ranging from 0.672 (RM490) to 0.838 (RM562). The highest gene diversity value (0.812) was found in RM562 and the lowest (0.684) was in RM490. A dendrogram constructed from the genetic distance of the genotypes produced four distinct clusters of twenty rice genotypes. Considering both phenotypic and genotypic observation, seven genotypes viz., Binadhan-10, FL-478, SL-51, SL-56, SL-77, EFSD-59 and IZSD-45 were identified as salt-tolerant; on the other hand, EFSD-21, SL-28, SL-32, SL-10, BRRI dhan28, and Binadhan-7 were identified as salt-susceptible. The identified salt-tolerant rice genotypes could be used in the improvement of rice breeding programs. Bangladesh J. Nuclear Agric, 37(2): 1-18, 2023

Analysis of seven populations of cultured redclaw crayfish, Cherax quadricarinatus, using newly developed microsatellite markers

Cherax quadricarinatus, also known as the redclaw crayfish, is native to northern Australia and southern Papua New Guinea and is an important freshwater aquaculture species in many countries. Studying the genetic structure of the current cultured population can improve the breeding plan for redclaw crayfish to better manage the hybridization and germplasm bank and promote their rational utilization; however, microsatellite resources for redclaw crayfish remain insufficient. The purpose of this study was to analyze the genetic diversity of different redclaw crayfish populations in China. After screening 18 pairs of microsatellite markers from redclaw crayfish transcriptome data, 240 samples from seven main breeding areas (Changsha, Guangzhou, Haikou, Huzhou, Jiangmen, Wuxi, and Zhanjiang) were evaluated and detected using these microsatellite markers. In total, 97 alleles were detected, of which the minimum number was two and the maximum number was twelve. The observed heterozygosity ranged from 0.258 to 0.807, with an average of 0.559, and the expected heterozygosity ranged from 0.288 to 0.815, with an average value of 0.558. The polymorphic information content values of seven populations ranged from 0.268 to 0.791, with an average of 0.511. Moreover, pairwise genetic differentiation within the population was between 0.007 and 0.031. The UPGMA clustering results showed that the Zhanjiang population stands alone on a branch, but the genetic variation between branches is very small. Meanwhile, STRUCTURE analysis further revealed that the genetic backgrounds of each population are essentially identical, with no noticeable genetic differentiation arising from geographic differences. These results provide a basic assessment of the genetic diversity of the main cultured populations of redclaw crayfish and a molecular foundation for future genetic monitoring and selective breeding research.

Genetic variability of maize (Zea mays) germplasm from Iran: genotyping with a maize 600K SNP array and genome-wide scanning for selection signatures

Context Maize (Zea mays L.) is one of the most economically important plants of the cereal family; it has value as human food, livestock feed, and as a component of industrial products. Aims This study focused on genetic diversity and existence of genetic divergence among promising maize inbred lines in Iran. Methods A commercial maize 600K SNP (single-nucleotide polymorphism) array was used to inspect genetic variability among 93 maize inbred lines. Key results The rate of transition mutation was twice as high as transversion mutation, and the density of detected SNPs was greater close to telomere regions of maize chromosomes. Considering the fluctuation of observed, expected and total heterozygosity and fixation index values across maize chromosomes, as well as polymorphism information content values, there is a high level of genetic variability among the studied maize panel. In addition, discriminant analysis of the principal components revealed four subpopulations in which the subpopulation ‘Line’ was distinct from other subpopulations and had no genomic overlap with them. Selection signature analysis revealed 177 regions harbouring 75 genes that differentiate among subgroups. Detected genes had a role in the mitogen-activated protein kinase signalling pathway, spliceosome, protein processing in endoplasmic reticulum, and hormone signal transduction. Conclusions We conclude that remarkable genetic diversity and differentiation exists among the studied maize subpopulations. The most differentiated SNPs among the subpopulations were associated with important biological processing genes and pathways. Implications The findings provide valuable insights for future maize breeding programs through exploitation of heterosis, as well as marker-assisted selection.

Assessment of Molecular Diversity and Population Structure of Pakistani Mulberry Accessions Using Retrotransposon-Based DNA Markers

Both morphological and molecular markers have been extensively used to evaluate genetic diversity; however, molecular markers are considered more reliable and can lead to improved reproductive efficiency. This study utilized inter-primer binding site (iPBS) markers to examine the genetic diversity and population structure of thirty mulberry accessions from the districts of Sahiwal and Faisalabad, Pakistan. These mulberry accessions belonged to three species: Morus nigra (n = 13), Morus alba (n = 12), and Morus rubra (n = 5). The use of nine iPBS primers in this study provided a comprehensive understanding of genetic diversity among the selected mulberry accessions. Nine iPBS primers were used in the study and generated 431 bands with allelic frequencies ranging from 21 to 75 and band sizes from 200 to 1500 base pairs. The primer 2230 showed the highest polymorphic information content (PIC) value of 0.47 and the highest Shannon’s information index (I = 0.53). The Morus nigra accessions had the highest levels of expected heterozygosity (He = 0.30), unbiased expected heterozygosity (µHe = 0.33), and Shannon’s information index (I = 0.45). The molecular variance analysis (AMOVA) revealed a high degree of genetic variation, as estimated by the pairwise PhiPT value of 0.21, which was significant at the p < 0.001 *** level. The neighbor joining tree, principal coordinate analysis, and structure analysis grouped the 30 mulberry accessions into four main clusters. The distinct grouping of accessions SWLS14, SWLS6, FSDS30, and SWLS7 validated their notable genetic distinctiveness. Overall, these findings contribute valuable insights into the genetic landscape of mulberry accessions, which are essential for conservation and breeding strategies.

Integrated Discriminant Evaluation of Molecular Genetic Markers and Genetic Diversity Parameters of Endangered Balearic Dog Breeds.

The genetic diversity analysis of six dog breeds, including Ca de Bestiar (CB), Ca de Bou (CBOU), Podenco Ibicenco (PI), Ca Rater (CR), Ca Mè (CM), and Ca de Conills (CC), reveals insightful findings. CB showcases the highest mean number of alleles (6.17) and heterozygosity values, with significant deviations from Hardy-Weinberg equilibrium (HWE) observed in five markers, indicating high intra-racial genetic diversity (average observed heterozygosity (Ho) = 0.754, expected heterozygosity (He) = 0.761). In contrast, CBOU presents the lowest mean number of alleles (5.05) and heterozygosity values, coupled with moderate polymorphic information content (PIC) values and a moderate level of intra-racial genetic diversity (average Ho = 0.313, He = 0.394). PI demonstrates moderate genetic diversity with an average of 5.75 alleles and highly informative PIC values, while CR displays robust genetic diversity with an average of 6.61 alleles and deviations from equilibrium, indicating potential risks of inbreeding (average Ho = 0.563, He = 0.658). CM exhibits moderate genetic diversity and deviations from equilibrium, similar to CBOU, with an average of 6.5 alleles and moderate PIC values (average Ho = 0.598, He = 0.676). Conversely, CC shows a wider range of allelic diversity and deviations from equilibrium (average Ho = 0.611, He = 0.706), suggesting a more diverse genetic background. Inter-racial analysis underscores distinct genetic differentiation between breeds, emphasizing the importance of informed breeding decisions and proactive genetic management strategies to preserve diversity, promote breed health, and ensure long-term sustainability across all breeds studied.

Identification of genetic relationships of Acacia auriculiformis clones using ISSR markers

In this study, seven clones of Acacia auriculiformis,collected in Cam Lo district, Quang Binh province were assessed for genetic diversity using 15 ISSR markers. The results showed that seven Acacia clones had an average level of genetic variation. In which, four ISSR markers including ISSR1, ISSR3, ISSR8, and ISSR15 showed higher polymorphism information content (PIC) value than the others. The results analysis indicated that 30 out of 40 DNA fragments were polymorphic (75%, PIC=0.28-0.33). The ISSR8 exhibited the highest genetic diversity index (0.33), while ISSR15 showed the lowest diversity (0.28). Seven clones of A. auriculiformis were divided into two main groups: group I comprised four clones: Clt7, Clt18, Clt19, and Clt26; group II included the remaining three clones: Clt25, Clt43, and Clt57. Genetic variation was correlated with plant growth ability. This result exhibited that the ISSR marker was an efficient tool in assessing and selecting the good genetic resource of A. auriculiformis for the forestry tree breeding program in Vietnam.

Unravelling the novel genetic diversity and marker-trait associations of corn leaf aphid resistance in wheat using microsatellite markers.

The study was conducted to identify novel simple sequence repeat (SSR) markers associated with resistance to corn aphid (CLA), Rhopalosiphum maidis L. in 48 selected bread wheat (Triticum aestivum L.) and wild wheat (Aegilops spp. & T. dicoccoides) genotypes during two consecutive cropping seasons (2018-19 and 2019-20). A total of 51 polymorphic markers containing 143 alleles were used for the analysis. The frequency of the major allele ranged from 0.552 (Xgwm113) to 0.938 (Xcfd45, Xgwm194 and Xgwm526), with a mean of 0.731. Gene diversity ranged from 0.116 (Xgwm526) to 0.489 (Xgwm113), with a mean of 0.354. The polymorphic information content (PIC) value for the SSR markers ranged from 0.107 (Xgwm526) to 0.370 (Xgwm113) with a mean of 0.282. The results of the STRUCTURE analysis revealed the presence of four main subgroups in the populations. Analysis of molecular variance (AMOVA) showed that the between-group difference was around 37 per cent of the total variation contributed to the diversity by the whole germplasm, while 63 per cent of the variation was attributed between individuals within the group. A general linear model (GLM) was used to identify marker-trait associations, which detected a total of 23 and 27 significant new marker-trait associations (MTAs) at the p < 0.01 significance level during the 2018-19 and 2019-20 crop seasons, respectively. The findings of this study have important implications for the identification of molecular markers associated with CLA resistance. These markers can increase the accuracy and efficiency of aphid-resistant germplasm selection, ultimately facilitating the transfer of resistance traits to desirable wheat genotypes.

Unravelling genetic diversity and population structure of Sarocladium oryzae causing sheath rot disease in rice using hyper-variable SSR markers

Rice sheath rot, caused by the fungus Sarocladium oryzae, poses a major threat to rice crops. This pathogen exhibits substantial variability in the field, yet limited information on its genetic diversity and population structure hampers the development of effective disease management strategies. In this study, hyper-variable Simple Sequence Repeats (HV-SSR) markers were employed for the first time to assess the genetic diversity of Sarocladium oryzae, collected from various rice cultivating regions in Odisha, Eastern India. The isolates were identified using both morphological and molecular criteria. A pathogenicity test was performed for all the isolates. A total of 2558 HV-SSRs with more than 10 repeat units were identified in the genome of S. oryzae. The most prevalent types of repeats were dinucleotides (26.8%), followed by trinucleotides (22.8%), tetranucleotides (8.67%), pentanucleotides (2.83%), and hexanucleotides (1.83%). A total of 150 HV-SSR primers were designed and 24 were randomly selected and validated, of which ten of them demonstrating polymorphism in the 87 isolates. These ten polymorphic hyper-variable SSR markers were subsequently used to assess the genetic diversity and population structure of Sarocladium oryzae isolates. The markers revealed a total of 32 alleles, with the number of alleles per locus varying from 2 to 4. Gene diversity ranged from 0.409 to 0.641, while the major allele frequency varied from 0.448 to 0.736. The Polymorphic Information Content (PIC) values ranged from 0.325 to 0.569, with an average of 0.457. Cluster analysis categorized the sheath rot isolates into three distinct major clusters. Principal coordinate analysis and structure analysis identified two genetic clusters within S. oryzae isolates. Analysis of molecular variance indicated that there was more genetic variation within populations (55%) and less variation among populations (45%). The findings of this study provide insights into the genetic diversity of S. oryzae in the rice-cultivating regions of Odisha, which can be used to develop more effective disease management strategies.

Diversity Analysis of 53 Soybean Accessions Introduced from China Based on Morphological Characteristics and SSR Markers

Indonesia still faces challenges in meeting its national soybean demand. Genetic diversity can provide new resources to improve soybean production and quality. Genetic diversity of 53 soybean accessions introduced from China, based on morphological characteristics and 17 SSR markers, was analyzed in this study. Principal component analysis (PCA) conducted on morphological characters produced a total diversity value of 64.67% and identified four main components. Based on phylogenetic analysis and principal coordinate analysis (PCoA) two accessions showed low genetic similarity of 78% (China cult-55 and Mi yang niu mao huang), which indicated that they could be selected as parents for plant breeding programs. In addition, 772 SSR alleles at an average of 45 alleles per locus were detected. The average heterozygosity was 0.83, and the average polymorphic information content (PIC) value was 0.96. All SSR markers showed a PIC value &gt; 0.8, indicating their informativeness in analyzing genetic diversity of soybean. The phylogenetic analysis indicated a genetic similarity of 82% and the accessions were grouped into two main clusters. The phylogenetic analysis depicted that several accessions could be grouped based on the growth type and origin. The results of morphological characterization and molecular markers in the analysis of genetic diversity are beneficial for selecting parental crosses when developing new varieties.

Enhancing stress resilience in rice (Oryza sativa L.) through profiling early-stage morpho-physiological and molecular responses to multiple abiotic stress tolerance.

Under changing climatic conditions, crop plants are more adversely affected by a combination of various abiotic stresses than by a single abiotic stress. Therefore, it is essential to identify potential donors to multiple abiotic stresses for developing climate-resilient crop varieties. Hence, the present study was undertaken with 41 germplasm accessions comprising native landraces of Tamil Nadu, Prerelease lines and cultivars were screened independently for drought, salinity, and submergence at the seedling stage during Kharif and Rabi 2022-2023. Stress was imposed separately for these three abiotic stresses on 21-day-old seedlings and was maintained for 10 days. The studied genotypes showed a significant reduction in plant biomass (PB), Relative Growth Index (RGI), relative water content (RWC), leaf photosynthesis, chlorophyll fluorescence, and Chlorophyll Concentration Index (CCI) under drought followed by salinity and submergence. Stress-tolerant indices for drought, salinity, and submergence revealed significant variation for plant biomass. Furthermore, a set of 30 SSR markers linked to drought, salinity, and submergence QTLs has been used to characterize 41 rice germplasm accessions. Our analysis suggests a significantly high polymorphism, with 28 polymorphic markers having a 93.40% in 76 loci. The mean values of polymorphic information content (PIC), heterozygosity index (HI), marker index (MI), and resolving power (RP) were 0.369, 0.433, 1.140, and 2.877, respectively. Jaccard clustering grouped all the genotypes into two major and six subclusters. According to STRUCTURE analysis, all genotypes were grouped into two major clusters, which are concurrent with a very broad genetic base (K = 2). Statistically significant marker-trait associations for biomass were observed for five polymorphic markers, viz., RM211, RM212 (drought), RM10694 (salinity), RM219, and RM21 (submergence). Similarly, significant markers for relative shoot length were observed for RM551 (drought), RM10694 (salinity), and ART5 (submergence). Notably, the genotypes Mattaikar, Varigarudan samba, Arupatham samba, and APD19002 were identified as potential donors for multiple abiotic stress tolerance. Thus, identifying the genetic potential of germplasm could be useful for enhancing stress resilience in rice.

Optimized Pepper Target SNP-Seq Applied in Population Structure and Genetic Diversity Analysis of 496 Pepper (Capsicum spp.) Lines.

Peppers are a major vegetable crop worldwide. With the completion of additional genome assemblies, a multitude of single-nucleotide polymorphisms (SNPs) can be utilized for population structure and genetic diversity analysis. In this study, we used target SNP-sequencing as a new high-throughput sequencing technology, screening out 425 perfect SNPs for analyzing the genetic diversity and population structure among 496 pepper lines from five pepper species in China and abroad. The perfect SNP panel exhibited commendable discriminative ability, as indicated by the average values of polymorphism information content, observed heterozygosity, minor allele frequency, and genetic diversity, which were 0.346, 0.011, 0.371, and 0.449, respectively. Based on phylogenetic, population structure, and principal component analyses, 484 C. annuum lines were divided into four subpopulations according to the shape of fruit: blocky fruit, wide-horn fruit, narrow-horn fruit, and linear fruit. These subpopulations displayed clear clustering with minimal or no overlap. Moreover, F statistic (Fst) analysis revealed considerable distinctions among these subpopulations. Additionally, we established a set of 47 core SNPs that could effectively differentiate among all pepper lines. This core SNP set could precisely classify the C. annuum lines into four distinct fruit-shape groups. The blocky and narrow-horn fruit subpopulations displayed the lowest and highest genetic diversity, respectively. This study highlights the importance of fruit shape as a crucial trait in pepper breeding. Moreover, this work indicates the immense potential of optimized target SNP technology in the addition of foreground markers of important traits to improve molecular breeding efficiency, and demonstrates its broad application prospects in the genetic analysis and variety identification of peppers.

Construction of SNP fingerprints and genetic diversity analysis of radish (Raphanus sativus L.).

Radish (Raphanus sativus L.) is a vegetable crop with economic value and ecological significance in the genus Radish, family Brassicaceae. In recent years, developed countries have attached great importance to the collection and conservation of radish germplasm resources and their research and utilization, but the lack of population genetic information and molecular markers has hindered the development of the genetic breeding of radish. In this study, we integrated the radish genomic data published in databases for the development of single-nucleotide polymorphism (SNP) markers, and obtained a dataset of 308 high-quality SNPs under strict selection criteria. With the support of Kompetitive Allele-Specific PCR (KASP) technology, we screened a set of 32 candidate core SNP marker sets to analyse the genetic diversity of the collected 356 radish varieties. The results showed that the mean values of polymorphism information content (PIC), minor allele frequency (MAF), gene diversity and heterozygosity of the 32 candidate core SNP markers were 0.32, 0.30, 0.40 and 0.25, respectively. Population structural analysis, principal component analysis and genetic evolutionary tree analysis indicated that the 356 radish materials were best classified into two taxa, and that the two taxa of the material were closely genetically exchanged. Finally, on the basis of 32 candidate core SNP markers we calculated 15 core markers using a computer algorithm to construct a fingerprint map of 356 radish varieties. Furthermore, we constructed a core germplasm population consisting of 71 radish materials using 32 candidate core markers. In this study, we developed SNP markers for radish cultivar identification and genetic diversity analysis, and constructed DNA fingerprints, providing a basis for the identification of radish germplasm resources and molecular marker-assisted breeding as well as genetic research.

Study on the characteristics of genetic diversity of different populations of Guizhou endemic plant Rhododendron pudingense based on microsatellite markers

BackgroundRhododendron pudingense, firstly discovered in Puding county of Guizhou province in 2020, have adapted to living in rocky fissure habitat, which has important ornamental and economic values. However, the genetic diversity and population structure of this species have been rarely described, which seriously affects the collection and protection of wild germplasm resources.ResultsIn the present study, 13 pairs of primers for polymorphic microsatellite were used to investigate the genetic diversity of 65 R. pudingense accessions from six different geographic populations. A total of 254 alleles (Na) were obtained with an average of 19.5 alleles per locus. The average values of polymorphic information content (PIC), observed heterozygosity (Ho), and expected heterozygosity (He) were 0.8826, 0.4501, and 0.8993, respectively, These results indicate that the microsatellite primers adopted demonstrate good polymorphism, and the R. pudingense exhibits a high level of genetic diversity at the species level. The average genetic differentiation coefficient (Fst) was 0.1325, suggested that moderate divergence occurred in R. pudingense populations. The average values of genetic differentiation coefficient and gene flow among populations were 0.1165 and 3.1281, respectively. The analysis of molecular variance (AMOVA) indicated that most of the population differences (88%) were attributed to within-population variation. The PCoA results are consistent with the findings of the UPGMA clustering analysis, supporting the conclusion that the six populations of R. pudingense can be clearly grouped into two separate clusters. Based on Mantel analysis, we speculate that the PD population may have migrated from WM-1 and WM-2. Therefore, it is advised to protect the natural habitat of R. pudingense in situ as much as possible, in order to maximize the preservation of its genetic diversity.ConclusionsThis is the first comprehensive analysis of genetic diversity and population structure of R. pudingense in Guizhou province. The research results revealed the high genetic diversity and moderate population diferentiation in this horticulture plant. This study provide a theoretical basis for the conservation of wild resources of the R. pudingense and lay the foundation for the breeding or cultivation of this new species.

THE GENETIC DIVERSITY OF MAIZE INBRED LINES GROWN IN IRAQ USING SIMPLE SEQUENCE RECURRENT (SSR) MARKERS

This study was conducted to determine the genetic variability among maize inbred lines grown in Iraq by using Simple Sequence Recurrent (SSR) markers. For estimating the genetic relationships, 10 SSR primers were used with 10 maize inbred lines. Two hundred and sixteen alleles (bands) with a range of 13 to 41 were identified for the SSR loci. Polymorphism information content (PIC) of the 10 SSR loci ranged from 0.60% to 100%. Primers ‘umc1566’, ‘umc1542’, and ‘umc2189’ showed the maximum PIC value; by contrast, ‘umc2225’showed the lowest PIC value. The 10 maize inbreds were clustered based on the matrix of genetic similarity using the UPGMA algorithm. Cluster analysis placed the inbreds lines in three clusters based on SSR data. The studied inbreds lines divided to groups and subgroups with cluster analysis that revealed agreement with their geographical origin. The results indicated that SSR marker has a high degree of polymorphism that allows efficient identification of maize genotypes, and this could be used in determining their heterotic groups.

Genome assembly and microsatellite marker development using Illumina and PacBio sequencing in Persicaria maackiana (Polygonaceae) from Korea.

Persicaria maackiana (Regel) is a potential medicinal plant that exerts anti-diabetic effects. However, the lack of genomic information on P. maackiana hinders research at the molecular level. Herein, we aimed to construct a draft genome assembly and obtain comprehensive genomic information on P. maackiana using high-throughput sequencing tools PacBio Sequel II and Illumina. Persicaria maackiana samples from three natural populations in Gaecheon, Gichi, and Uiryeong reservoirs in South Korea were used to generate genomic DNA libraries, perform genome de novo assembly, gene ontology analysis, phylogenetic tree analysis, genotyping, and identify microsatellite markers. The assembled P. maackiana genome yielded 32,179 contigs. Assessment of assembly integrity revealed 1503 (93.12%) complete Benchmarking Universal Single-Copy Orthologs. A total of 64,712 protein-coding genes were predicted and annotated successfully in the protein database. In the Kyoto Encyclopedia of Genes and Genomes (KEGG) orthologs, 13,778 genes were annotated into 18 categories. Genes that activated AMPK were identified in the KEGG pathway. A total of 316,992 microsatellite loci were identified, and primers targeting the flanking regions were developed for 292,059 microsatellite loci. Of these, 150 primer sets were randomly selected for amplification, and 30 of these primer sets were identified as polymorphic. These primers amplified 3-9 alleles. The mean observed and expected heterozygosity were 0.189 and 0.593, respectively. Polymorphism information content values of the markers were 0.361-0.754. Collectively, our study provides a valuable resource for future comparative genomics, phylogeny, and population studies of P. maackiana.

Genetic Relatedness in Elite Cultivars of Moth Bean using Morpho-agronomic and Molecular Markers

Background: Moth bean is a very nutritive and hardy crop, especially for resource poor-arid agriculture. The limited use of cultivars in moth bean breeding resulted into narrow genetic base. This study aimed to diversify the conical genetic base and developimproved cultivars, through molecular (RAPD) and morpho-agronomic characterization of commercially elite moth bean cultivars. Methods: Elite moth bean cultivars (15) were evaluated for 11 morpho-agronomic traits. Eleven RAPD markers were used to amplify genomic DNA and perform molecular characterization.Clustering approach was used for grouping of the cultivars. Result: RAPD markers revealed high polymorphism in 15 elite moth bean cultivars. The polymorphism information content (PIC) values varied within the range of 0.45 to 0.88, with an average of 0.77. The number of alleles at different loci ranged from 4 to 16, with an average of 10 alleles per locus. When employing UPGMA-based cluster analysis, utilizing 11 morpho-agronomic traits, the cultivars were grouped into four clusters. However, when RAPD markers were used, the cultivars were grouped into five clusters. The Jaccard’s similarity coefficient and Manhattan dissimilarity coefficient fell within the ranges of 0.18 to 0.70 and 0.02 to 0.42, respectively. These values signify the degree of genetic variability within the cultivars. Furthermore, a Mantel test was conducted to examine the correlation between agronomic traits and the RAPD-based matrix. The results showed a negative correlation, but it was not statistically significant.The high PIC values and the successful amplification of multiple loci demonstrate the efficacy of RAPD markers in assessing genetic diversity in moth beans. The study revealed enormous genetic variation among cultivars and crosses can be attempted between cultivars of different groups to create better recombinants in moth bean breeding programmes.

Genetic diversity and population structure of Anatolian Hair goats, an ancient breed

Abstract. This study aimed to investigate the genetic characterization and diversity of Hair goats from 10 regions using 20 microsatellite markers. A total of 522 alleles were observed. The INRA0023 locus exhibited the greatest number of alleles (48), while the DRBP1 locus had the highest effective allele number (16.27), and the BM1818 and DRBP1 loci had the highest polymorphic information content value (0.94). The expected heterozygosity value ranged from 0.85 (ILSTS011) to 0.94 (BM1818, SRCRSP15, and DRBP1). The Hair goat populations in Konya and Hatay displayed the lowest and highest allele numbers, with values of 10.40 and 16.25, respectively. The fixation index (FIS) values are significant in defining population structures and determining the extent of heterozygosity losses. The FIS values exhibited a range of 0.031 in Muǧla to 0.226 in Burdur. A total of 107 unique alleles were identified in Hair goat populations. However, it is noteworthy that, out of all the alleles, only 25 had a frequency exceeding 5 %. The results indicate that the microsatellite markers utilized demonstrate sufficient levels of polymorphism, making them appropriate for efficiently investigating the genetic variability of Hair goat populations.