Molecular Diversity Analysis Research Articles

Shedding Light on the Molecular Diversities of miRNA in Cancer- an Exquisite Mini Review.

Short non-coding ribonucleic acids are also known as "Micro ribonucleic acids (miRNAs)". The miRNAs make a contribution to the regulation of genes and mitigation of cancer cell growth in humans. miRNAs play a significant role in several BPs, namely apoptosis, cell cycle progression, and development. It is well-recognized that miRNAs are crucial for the tumors' growth and also serve as Tumor Suppressors (TSs) or oncogenes. As miRNAs also act as an effective tumor suppressor, studying the molecular diversities of the miRNAs makes way to minimize cancer progression and the corresponding death rates in the future. Therefore, miRNAs along with their Biological Processes (BPs) and molecular diversities are thoroughly researched in this paper. Consequently, miRNAs particularly target their 3' UnTranslated Region (3'-UTR) for controlling the target mRNAs' stability and protein translation. So, this study also expresses the impact of microRNA variants in various cancer cells, namely Breast cancer, Gastric or stomach cancer, ovarian cancer, and lymphocytic leukemia. Furthermore, the database named PhenomiR and commercial kits that are used in the miRNA data analysis are discussed in this article to provide extensive knowledge about the molecular diversity analysis of miRNA and their influences on cancerous cells.

Assessing population structure and morpho-molecular characterization of sunflower (Helianthus annuus L.) for elite germplasm identification.

Sunflower (Helianthus annuus L.), known for its adaptability and high yield potential, is vital in global edible oil production. Estimating genetic diversity is a key pre-breeding activity in crop breeding. The current study comprised of 48 genotypes which were assessed for their biometrical traits at department of Oilseeds, Tamil Nadu Agricultural University, during the rainy season of 2022. The lines were subsequently characterised using 103 simple sequence repeat (SSR) markers for molecular diversity analysis. The results indicated that the net nucleotide distances indicated varying genetic divergence, with subpopulations II and V showing the highest (0.056) and I and IV the lowest (0.014). Subpopulation IV exhibited the highest heterozygosity (0.352), while subpopulation III had the lowest heterozygosity and a low Fst (0.173). Principal components analysis (PCA) and hierarchical cluster analysis were employed for assessing the morphological diversity, facilitating genotype grouping and parent selection for breeding programs. The first four components cumulatively accounted for 86.72% of the total variation. Cluster Analysis grouped 48 sunflower genotypes into three clusters based on genetic diversity. COSF 13B stands out for its high head diameter, oil content, seed yield, and oil yield based on mean performance of morphological data. Principal coordinate analysis (PCoA) mirrored the groupings from the Neighbor Joining method, with the first three components explaining 27.24% of the total variation. Molecular data analysis identified five distinct clusters among the germplasm. By integrating morphological and molecular marker data with genetic distance analysis, substantial diversity was revealed with the genotypes RHA 273 and GMU 325 consistently demonstrated high oil yield per plant. The genotypes GMU 477, GMU 450, COSF 13B, RHA 102, CMS 1103B, and RHA GPR 58 have been identified as suitable parents for enhancing oil content in sunflower breeding programs. These findings also aid in selecting SSR markers for genotype characterization and in choosing diverse parents for breeding programs.

Nested association mapping population in japonica rice: Development, characterization, and application in genome-wide association studies

Multiparental mapping populations hold great potential for dissecting quantitative traits and rapidly identifying genetic determinants. We developed a japonica nested association mapping population, KNU_NAM, comprising 880 lines derived from ten recombinant inbred lines (RILs) families of prominent varieties and the elite Korean variety Shindongjin. Genetic characterization of KNU_NAM revealed 48,159 polymorphic SNPs, with family counts ranging from 18,787 to 42,578, and an average of 30,019 SNPs per family. Further molecular diversity analysis of KNU_NAM indicated reduced population structure and broad genetic diversity. Genome-wide association studies (GWAS) on five morphological traits identified 47 significant marker-trait associations (MTAs), with a set of 18 MTAs located on chromosome 9. Linkage disequilibrium (LD) block analysis of this region revealed 15 haplotypes, and identified five key genes associated with panicle architecture: OsDEP1, OsEATB, OsLGD1, and OsSPL18. Additionally, two non-synonymous MTAs on chromosome 7 were located on exon of OsPRR37/Ghd7.1, a gene associated with plant height, heading date, and grain number per panicle. Further phenotypic performance analysis of haplotypes from these hotspot regions revealed significant differences in the targeted traits. The study validates the potential of KNU_NAM and GWAS for high-resolution genetic mapping in rice breeding programs, highlighting the utility of these populations for enhancing genetic diversity and improving trait selection in rice.

Molecular Diversity Analysis of in vitro and Irradiated Tomato (Lycopersicon esculentum Mill) Grew Under Salt Stress Expressed by SCoT and ISSR Markers

Tomato buds of cv. Idkawy were cultured in vitro on solid MS medium with 0.2 mg-l BAP. The plantlets that were produced were exposed to different doses of gamma radiation, ranging from 100 to 200 Gy. Afterward, single pieces of nodes were cut and moved to a fresh MS medium with 0.2 mg-l of BAP. The gamma radiation caused a mortality rate of 18.75% to 52.5% among the explants. The surviving plantlets were then cut into single node pieces and transferred to an MS medium containing 0.2 mg-l of BAP, with added NaCl concentrations of either 50 or 100 mM. There was increased mortality of the vegetative buds on the explants with increased salt concentrations. It was shown that the all gamma radiation doses caused reduced the percentage of survival at saline levels. The genetic diversity was assessment by using ten primers for each SCoT and ISSR markers to six irradiated treatments grew under salt stress (100 Gy x 50 mM, 150 Gy x 50 mM, 200 Gy x 50 mM, 100 Gy x 100 mM, 150 Gy x 100 mM, 200 Gy x 100 mM). It was showed that the polymorphism percentage mean of SCoT marker (29.56%) is higher than the ISSR marker (26.78%). The average of PIC values for both markers SCoT and ISSR were 0.197 and 0.288 (PIC ˂0.5), as well as, MI values were 0.077 and 0.081, respectively. In contrast, when considering the number of alleles (Ne), Nei's genetic diversity (H), and Shannon's information index (I) parameters, it was observed that the greatest genetic variation was caused by the combined treatment of 200 Gy x 50 mM NaCl using the SCoT marker. On the other hand, with the ISSR marker, the highest induced genetic variation was seen with the combined treatment of 150 Gy x 50 mM NaCl. The obtained results demonstrate that SCoT marker was more accurate and efficient than ISSR marker for distinguishing and genetic variation analysis of irradiated tomato plantlets grew under salt stress. The relationships within treatments were estimated through cluster analysis (UPGMA) based on SCoT and ISSR analysis.

First Report on the Molecular Detection and Genetic Characterization of Toxoplasma gondii From Donkeys in Kenya.

The present study was conducted to determine the presence of Toxoplasma gondii in donkeys by molecular tests and genetic diversity analysis of the obtained DNA samples from central Kenya. A total of 363 blood samples were collected from donkeys in Meru and Kirinyaga Counties, and 96 samples that were previously seropositive for T. gondii using indirect ELISA were subjected to nested PCR based on the amplification of the internal transcribed spacer 1 (ITS-1) gene followed by DNA sequencing and phylogenetic analysis. Genotyping was performed on 15 selected positive samples using multilocus nested polymerase chain reaction restriction fragment length polymorphism (Mn-PCR-RFLP) with eight genetic markers ('SAG 2, 5'SAG 2, Alt. SAG 2, SAG 3, GRA 6, C29-2, BTUB and L358). Toxoplasma gondii DNA was detected in 36.5% (35/96) of the blood samples. The sequences obtained exhibited 98.2-99.5% homology with those deposited in GenBank. Phylogenetic analysis demonstrated that the obtained sequences are conserved and clustered with those of infecting animals from other regions of the world. Eighteen distinct T. gondii haplotypes were identified to be circulating in donkeys from central Kenya. The T. gondii DNA samples exhibited high haplotype diversity (Hd: 0.915) and limited genetic diversity (π = 0.01027). PCR-RFLP of T. gondii DNA-positive samples revealed three different genetic combinations that consisted of alleles I, II and III, indicating the dissemination of atypical genotypes. This study demonstrated that T. gondii is widespread in donkeys from Kenya and could be a possible source of infection in humans. These findings are important for designing control strategies for this parasite to improve the livestock sector, which is one of the main sources of livelihood for farmers in Kenya.

Genetic diversity and population structure of Bael [Aegle marmelos (L.) Correa] genotypes using molecular markers in the North-Western plains of India

Bael is a fruit crop that is extensively distributed throughout South-East Asia and is underutilized in medicine. The potential applications of bael's therapeutic and nutritional qualities in diverse ethnic communities are enormous. This study focuses on evaluating the morpho-pomological and molecular characteristics, utilizing SSR markers, of 80 wild bael genotypes alongside the NB-5 and NB-9 cultivars, derived from the North Western plains of India. Based on the evaluated morpho-pomological features, substantial variations were found between all genotypes. The fruit's inner diameter and pulp weight varied from 4.41 to 11.54 cm and 34.63 to 786.41 g, respectively. Numerous variations in the genotypes were observed in the shell weight/fruit, fruit skull thickness and fruit yield/plant. The bael fruit mucilage's total soluble solids (TSS) and total sugar content varied from 40.10 to 49.60 obrix and 8.11 to 21.17%, respectively. Using ward cluster analysis, the genotypes were divided into two primary clusters. Among the bael genotypes, the population structure analysis identified three subpopulations. SSR markers are used to measure genetic variety; of the 27 polymorphic markers, 17 show allelic diversity between genotypes. Molecular genetic diversity analysis, on the other hand, highlighted the genotypes genetic distinctiveness by classifying them into three major clusters. These findings offer valuable insights into the rich diversity and intricate interactions among the bael genotypes under investigation, paving the way for more strategic future breeding and selection efforts to elevate the quality of this remarkable fruit.

The Complete Chloroplast Genome Sequence of the Medicinal Moss Rhodobryum giganteum (Bryaceae, Bryophyta): Comparative Genomics and Phylogenetic Analyses.

Rhodobryum giganteum (Bryaceae, Bryophyta), a rare medicinal bryophyte, is valued for its cardiovascular therapeutic properties in traditional Chinese medicine. This study presents the first complete chloroplast genome sequence of R. giganteum, including its assembly and annotation. The circular chloroplast genome of R. giganteum is 124,315 bp in length, displaying a typical quadripartite structure with 128 genes: 83 protein-coding genes, 37 tRNAs, and 8 rRNAs. Analyses of codon usage bias, repetitive sequences, and simple sequence repeats (SSRs) revealed an A/U-ending codon preference, 96 repetitive sequences, and 385 SSRs in the R. giganteum chloroplast genome. Nucleotide diversity analysis identified 10 high mutational hotspots. Ka/Ks ratio analysis suggested potential positive selection in rpl20, rps18, petG, and psbM genes. Phylogenetic analysis of whole chloroplast genomes from 38 moss species positioned R. giganteum within Bryales, closely related to Rhodobryum laxelimbatum. This study augments the chloroplast genomic data for Bryales and provides a foundation for molecular marker development and genetic diversity analyses in medicinal bryophytes.

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.

Molecular diversity and trait association analysis in different wheat genotypes for yellow rust resistance

Molecular diversity and trait association analysis in different wheat genotypes for yellow rust resistance

Comparative Analysis of Virulence and Molecular Diversity of Puccinia striiformis f. sp. tritici Isolates Collected in 2016 and 2023 in the Western Region of China.

Puccinia striiformis f. sp. tritici (Pst) is adept at overcoming resistance in wheat cultivars, through variations in virulence in the western provinces of China. To apply disease management strategies, it is essential to understand the temporal and spatial dynamics of Pst populations. This study aimed to evaluate the virulence and molecular diversity of 84 old Pst isolates, in comparison to 59 newer ones. By using 19 Chinese wheat differentials, we identified 98 pathotypes, showing virulence complexity ranging from 0 to 16. Associations between 23 Yr gene pairs showed linkage disequilibrium and have the potential for gene pyramiding. The new Pst isolates had a higher number of polymorphic alleles (1.97), while the older isolates had a slightly higher number of effective alleles, Shannon's information, and diversity. The Gansu Pst population had the highest diversity (uh = 0.35), while the Guizhou population was the least diverse. Analysis of molecular variance revealed that 94% of the observed variation occurred within Pst populations across the four provinces, while 6% was attributed to differences among populations. Overall, Pst populations displayed a higher pathotypic diversity of H > 2.5 and a genotypic diversity of 96%. This underscores the need to develop gene-pyramided cultivars to enhance the durability of resistance.

Molecular marker-assisted genetic diversity analysis in soybean cultivars from Himalayan region of Uttarakhand, India

‘Bhat’ is the soybean variety highly valued in the traditional food and therapeutic system of Uttarakhand state in the Indian Himalayan region. It is available in diverse colors, shapes, and sizes, often linked to their nutritional parameters. The present investigation was conducted to assess the diversity and genetic relatedness in ‘bhat’ genotype indigenous to the Garhwal division of Uttarakhand. 25 polymorphic simple sequence repeats (SSR) markers were used to determine the genetic diversity and varietal identification among the 45 genotypes collected from the different villages of Uttarakhand. Out of the different markers assessed only 13 primers showed amplification with the maximum of 2–4 alleles obtained with each primer with the molecular weight ranging between 80 and 400 kb. The highest band amplification was observed in Satt 257 and Satt 197. The allelic frequencies of amplified primers ranged from 0.5 to 0.833 with a mean value of 0.645 and the mean gene diversity and PIC value was found to be 0.43 and 0.33. Satt 183, Satt 288, and Satt 389 showed the highest polymorphism, while Satt257 and Satt245 exhibited the presence of unique alleles in some samples. The phylogenetic analysis grouped the genotypes into 4 major clusters having visually distinct phenotypes in each group, indicating the mixing of population and loss of authenticity also confirming that phenotypic attributes are not indicative of genetic relatedness among the genotype under study. The results indicate the need for the development of novel ‘bhat’ specific markers for more accurate genetic identification of the nutritionally rich indigenous soybean variety.

Establishment of Start Codon Targeted Polymorphism Molecular Markers System and Genetic Diversity Analysis of Fritillaria thunbergii

After years of selective breeding, numerous cultivars of Fritillaria thunbergii have been cultivated in various regions of Zhejiang Province, showing significant genomic and epigenetic differences. Molecular marker loci developed so far are mainly based on non-coding regions of the genome, and their identification efficiency is limited when applied to these cultivars. Therefore, this study used start codon targeted polymorphism molecular marker to detect PCR amplification of 100 Fritillaria thunbergii samples from various sources. The SCoT-PCR reaction system was optimized using a single-factor and orthogonal testing to determine the optimal conditions: DNA concentration of 4.2 ng • μL−1, primer concentration of 0.88 μmol • L−1, dNTP concentration of 0.35 mmol • L−1, Mg2+ concentration of 2.5 mmol • L−1, Supercharm Fidelity enzyme amount of 1.2 U, and total reaction volume of 25 μL. Moreover, 16 effective primers were identified, including SCoT1, SCoT2, SCoT3, SCoT7, SCoT11, SCoT12, SCoT14, SCoT17, SCoT19, SCoT23, SCoT25, SCoT26, SCoT29, SCoT35, and SCoT37. The annealing temperature for each primer was determined. Among them, SCoT14, SCoT25, SCoT29, SCoT35, and SCoT41 were specific for identifying six main cultivars: “Zhebei 1”, “Zhebei 2”, “Zhebei 3”, “Xuansanzi”, “Sanzi”, and “Duozi”. SCoT7, SCoT14, and SCoT35 were useful in tracking mutations in progeny of Zhebei 3 after radiation treatment, while SCoT29 could distinguish Zhebei 1 from Chunan. In addition, cluster analysis was conducted to simulate the genetic relationship between different cultivars, demonstrating that genetic similarity analysis is practically significant for predicting genetic correlation among different cultivars. The results not only improve the identification ability of Fritillaria thunbergii cultivars, but also help objectively evaluate their genetic stability and environmental adaptability. These achievements provide important scientific evidence for the ecological protection and utilization of germplasm resources of Fritillaria thunbergii and serve as a reference for exploring genetic diversity and evolution of traditional Chinese medicine.

Genetic Diversity and Yield Component Analysis in Indian Mustard [Brassica juncea (L.) Czern. and Coss.

Background: Researchers in Indian mustard have made minimal progress in breaking the yield barrier due to limited genetic resources. To increase productivity, a combination of molecular markers and morphological features is advised to boost productivity. The purpose of current work is to characterise polymorphic SSR markers, determine genotype variability, identify suitable parents for hybridization and understand key yield factors. Methods: In 2020-21, twenty-eight Indian mustard varieties and advance breeding materials were evaluated at Ramakrishna Mission Vivekananda Educational and Research Institute’s experimental field in Narendrapur, West Bengal, using statistical techniques to assess genetic estimates and molecular diversity using twenty identified polymorphic SSR primers out of thirty tested primers. Result: The study found that the number of siliqua per plant and primary and secondary branches are crucial yield components determined by correlation and path analysis. The high heritability of ten traits was observed. Genotypes were divided into four clusters with both Mahalanobis’s D2 and molecular diversity analysis, with 1000 seed weight and plant height showing the highest degree of divergence. But the composition of genotypes varied in two types of clusters. Ra1F09 and Ra2B02, SSR markers, showed greater PIC values and heterozygosity among the twenty polymorphic SSR primers. Hybridization between PM25 and high oil content genotypes from cluster I, such as Sanjukta Asech and Kranti, is proposed to produce segregants with high yield, oil content and early maturity.

Genetic diversity analysis and heterotic grouping of Indian white maize inbred lines using combining ability and SNP markers

AbstractMaize (Zea mays L.) is a versatile crop with high genetic yield potential and various uses. While yellow maize is primarily used for animal feed, white maize is preferred as a food by rural and tribal populations in India. However, white maize landraces suffer immensely in terms of low yield. Heterotic grouping is an excellent method to develop hybrids with increased yield potential in maize. The heterotic grouping of 78 white maize inbred lines was performed using combining ability and molecular diversity analysis. The lines were crossed with two testers, and the resulting hybrids were evaluated for grain yield at three locations representing different agroecological zones in India. The combining ability analysis based on specific combining ability effects on mean grain yield was used to classify the inbred lines into heterotic groups (HG‐A: 18 inbreds; HG‐B: 33 inbreds). Additionally, marker‐based clustering using 62,470 single nucleotide polymorphisms (SNPs) generated through genotyping by sequencing was also employed to determine the genetic relationships among these lines. The combining ability information was superimposed on marker‐based clustering data to obtain the heterotic grouping information, and two distinct HGs with 7 (HG‐1) and 18 inbred lines (HG‐2) were developed. The results of this study will contribute to the development of high‐performing white maize hybrids through the efficient utilization of clear‐cut and well‐defined HGs. Hence, the use of SNP markers along with the combining ability of inbred lines is a useful method for heterotic grouping and understanding of genetic relationships of white maize.

Molecular characterization of oats (Avena sativa L.) diversity: Implications for dual-purpose breeding

Oat (Avena sativa L.) is one of the world's healthiest and gluten-free grains that are packed with essential vitamins, minerals, fiber, and antioxidants. It is also one of the most important cereal fodder crops. The present study was conducted from 2016 to 2018 and morphological and molecular diversity was analyzed for dual-purpose oat based on ten fodder and eight grain traits among 96 oats accessions including four wild accessions (A. vavilioviana, Guiena oats, A. maroccana and A. sterilis) collected from various eco-geographical regions of India. Thirty-one out of one hundred seventy (18%) simple sequence repeats (SSR) markers detected polymorphism among the 96 oat accessions with average polymorphic information content (PIC) of 0.47. A total of 100 alleles were detected with an average of 3.2 alleles per primer. The molecular diversity analysis grouped all the 96 germplasm lines into two major clusters, ?A? and ?B?. The similarity coefficients ranged from 0.37 to 1. The genotypic pairs viz; UPO 276: SKO 315 (46%); SKO 314: OL-125 (46%); SKO 314: OS 363 (49%); SKO 314: UPO 032 (49%) exhibited least genetic similarity and these pairs can be potentially used as parents to conduct various mapping studies and further contributing to the oat breeding community. Moreover, 6 accessions (JHO-2001-1, JHO-99-2, OL 1635, SKO 27, UPO 093 and OS329) had been identified which were superior to OL-10 (best check in the northwest India) for fodder as well as grain yield. This study showed the opportunity of utilizing SSR markers with morphological characteristics to breed for dual purpose oats.

Phylogenetic and population genetic analyses of Thrips tabaci Lindeman (Thysanoptera: Thripidae) on Allium host in India.

Onion thrips (Thrips tabaci) is a complex of cryptic species with subtle morphological differences and distinct genetic backgrounds; thus, species identification using traditional methods remains challenging. The existence of different haplotypes and genotypes within a species can significantly influence various aspects of its biology, including host preference, reproductive capacity, resistance to pesticides, and vector competence for plant viruses. Understanding the genetic diversity and population structure of cryptic species within T. tabaci will not only aid in the development of more effective control strategies tailored to specific genetic variants but also in monitoring population dynamics, tracking invasive species, and implementing quarantine measures to prevent the spread of economically damaging thrips biotypes. This study aims to explore intraspecies genetic diversity and molecular evolutionary relationships of the mitochondrial cytochrome oxidase gene subunit I (mtCOI) in T. tabaci populations from India. To capture diversity within the Indian T. tabaci populations, amplicon sequencing was performed for the thrips mtCOI gene from eight diverse localities in India. A total of 48 sequences retrieved for the mtCOI gene from the NCBI Nucleotide database were analysed. Multiple insertions and deletions were detected at various genomic positions across the populations from different localities, with the highest variation observed in the 300-400 genome position range. Molecular diversity analyses identified 30 haplotypes within the population, with certain subpopulations exhibiting higher gene flow. Analysis of single nucleotide polymorphism patterns within the mtCOI gene across diverse Indian locales revealed significant intrapopulation genetic heterogeneity and its potential repercussions on gene functionality. Elevated F statistics (Fst) values in the northern-western subpopulations suggested high genetic variability, particularly evident in haplotype networks originating mainly from the northern region, notably Delhi. While most populations displayed stable and ancient evolutionary histories, thrips populations from northern, western, and north-eastern regions indicated rapid growth.

Analysis of Molecular Diversity in Castanopsis sieboldii with Felt Disease Caused by Septobasidium sp.

In 2020, within the Dongbaekdongsan area in Jeju Island, a Septobasidium sp. associated with a felt disease in <i>Castanopsis sieboldii</i> (Makino) Hatus. ex T. Yamaz. & Mashiba was identified. The symptom included the presence of brown, thin, and silk-like mycelial mats attached to the tree's bark, displaying variations in size from large to small. To induce hyphal growth, the samples collected were incubated in a moist chamber, and the newly formed hyphae were subjected to genomic DNA extractions. The nucleotide sequences of the internal transcribed spacer and small subunit rDNA genes were determined, and molecular characteristics among the isolates were investigated through polymerase chain reaction-based restriction fragment length polymorphism analysis. This <i>Septobasidium</i> sp. exhibited distinct morphological and phylogenetic features compared to those that were previously reported in South Korea. Consequently, this strain is taxonomically classified as a provisionally novel species of <i>Septobasidium</i>. Furthermore, the observed felt disease exhibited a high degree of host specificity, as it was exclusively identified in <i>C. sieboldii</i> without occurrence in other tree species at the time of observation.

Molecular characterization and diversity analysis of promising tgms lines and high-yieding varieties In rice by using ssr markers

The present investigation was intended to assess the extent of genetic diversity present among the selected genotypes of Oryza sativa (including TGMS lines) using SSR markers. The SSR markers used for the study gave average Polymorphism Information Content (PIC) value of 0.551. The primer RM 9 followed by RM 536 has given maximum PIC value and the primer RM 29 gave the minimum. It was inferred that the primers RM 9 and RM 536 had been the better choices in this study. The lines, TS09 24 and TS09 26 were in the same cluster as they derived from the same parents. The TGMS lines TS 29 and TNAU 27S are in separate cluster from other parents indicating that these lines are highly diversified and their crosses can give improved cultivars. Bangladesh J. Bot. 52(4): 1067-1070, 2023 (December)

Molecular Diversity Analysis of Some Selected Brri Developed Rice Varieties Using Ssr Markers

Molecular characterization of 26 modern rice varieties of Bangladesh was performed using 52 simple sequence repeat markers (SSRs) to estimate the genetic diversity and to reveal genetic relationships among rice cultivars. A total of 156 alleles were detected where the number of alleles per locus generated by each marker varied from 2 to 7, with an average of 3. The band size for a given microsatellite locus ranged from 79 to 278 bp. The polymorphism information content (PIC) for the SSR loci ranged from 0.08 to 0.79, with an average of 0.35. RM566 was the best marker for identification and variability assessment of varieties as revealed by PIC values. A UPGMA dendrogram generated using the NTSYS-pc revealed four clusters with a similarity coefficient of 0.55, whereas phylogenetic cluster analysis of the SSR data based on Nei-genetic distance divided the varieties into three groups. Two- and three-dimensional graphical views of principal coordinate analysis showed the spatial distribution of the varieties and revealed that BRRI dhan56, BRRI dhan51, BRRI dhan52, BRRI dhan61, BRRI dhan62 and BRRI dhan66 were found far away from the centroid of the cluster. The findings of this study are helpful for varietal identification, background selection during backcross breeding and for selecting the suitable genetically diverse parents for crossing programs. SAARC J. Agric., 21(2): 1-14 (2023)

Molecular characterization, diversity analysis, and biocontrol potential of endophytic fungi for suppression of dry root rot caused by Rhizoctonia bataticola in chickpea

Molecular characterization, diversity analysis, and biocontrol potential of endophytic fungi for suppression of dry root rot caused by Rhizoctonia bataticola in chickpea