Assessment of genetic diversity in Bangladeshi rice (Oryza sativa L.) varieties utilizing SSR markers

IF 1 Q4 GENETICS & HEREDITY Gene Reports Pub Date : 2024-10-01 DOI:10.1016/j.genrep.2024.102051
Shamsunnahar Mukta , Md. Nazmul Islam Bappy , Jubo Bhuiyan , Fatama Tous Zohora , Dilruba Afrin
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Abstract

One of the most fundamental staple foods for the vast majority of people on earth is rice. Farmer-grown traditional rice types which are well-adapted to a wide range of agro-ecological environments provide rich genetic resources for future rice enhancement. The quantity of allelic and genetic variety available in germplasm is a precondition for crop development and conservation techniques under severe climate conditions. However, adoption of high-yielding cultivars has led to their fast loss. Thus, the study's objective was to use marker-assisted selection (MAS) to examine the molecular diversity of rice genotypes using Simple Sequence Repeat (SSR) markers. Eighteen elite rice (Oryza sativa L.) germplasms from Bangladesh were chosen for genetic diversity analysis by SSR marker analysis. PCR amplification of the alleles was carried out and Visualized by Polyacrylamide Gel Electrophoresis (PAGE) system. Four primer pairs that were dispersed across eighteen rice chromosomes were used to detect polymorphisms initially. One representative from each chromosome made up the microsatellite marker panel that was selected, which included RM60, RM163, RM259, and RM278. With an average of 4.75 alleles per locus, a total of 19 alleles were found. Among the four loci spanning eighteen rice accessions, there was a moderate degree of genetic diversity; the average value of these loci is 0.67, ranging from 0.59 to 0.77. With an average of 0.7166, the polymorphism information content (PIC) represents the allele diversity frequency among the varieties, ranging from 0.6481 to 0.8025. Based on PIC values, RM 60 was determined to be the most effective marker for genotype identification. Six clusters were found with a similarity coefficient of 48 % using the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) dendrogram and the broad range of dissimilarity values (0.25–0.1), indicating a high level of cultivar diversity. Using a molecular breeding program, the results of the genetic diversity will help to select parents for rice varieties that can withstand different biotic and abiotic stresses.
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利用 SSR 标记评估孟加拉国水稻(Oryza sativa L. )品种的遗传多样性
水稻是地球上绝大多数人最基本的主食之一。农民种植的传统水稻类型能够很好地适应各种农业生态环境,为未来水稻的改良提供了丰富的遗传资源。种质中的等位基因和遗传品种数量是恶劣气候条件下作物开发和保护技术的先决条件。然而,高产栽培品种的采用导致其快速流失。因此,本研究的目标是利用简单序列重复(SSR)标记,采用标记辅助选择(MAS)技术研究水稻基因型的分子多样性。研究人员选择了孟加拉国的 18 个水稻(Oryza sativa L.)精英种质,通过 SSR 标记分析进行遗传多样性分析。通过聚丙烯酰胺凝胶电泳(PAGE)系统对等位基因进行 PCR 扩增和可视化。最初使用分散在 18 条水稻染色体上的四对引物来检测多态性。每个染色体上的一个代表组成了微卫星标记组,包括 RM60、RM163、RM259 和 RM278。每个位点平均有 4.75 个等位基因,共发现 19 个等位基因。在横跨 18 个水稻品种的 4 个位点中,存在中等程度的遗传多样性;这些位点的平均值为 0.67,范围在 0.59 至 0.77 之间。多态性信息含量(PIC)平均为 0.7166,代表了品种间等位基因的多样性频率,范围在 0.6481 至 0.8025 之间。根据 PIC 值,RM 60 被确定为最有效的基因型鉴定标记。利用算术平均非加权配对组法(UPGMA)树枝图发现了 6 个聚类,相似系数为 48%,差异值范围很广(0.25-0.1),表明栽培品种的多样性水平很高。利用分子育种计划,遗传多样性的结果将有助于选择能够承受不同生物和非生物胁迫的水稻亲本。
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来源期刊
Gene Reports
Gene Reports Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.30
自引率
7.70%
发文量
246
审稿时长
49 days
期刊介绍: Gene Reports publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses. Gene Reports strives to be a very diverse journal and topics in all fields will be considered for publication. Although not limited to the following, some general topics include: DNA Organization, Replication & Evolution -Focus on genomic DNA (chromosomal organization, comparative genomics, DNA replication, DNA repair, mobile DNA, mitochondrial DNA, chloroplast DNA). Expression & Function - Focus on functional RNAs (microRNAs, tRNAs, rRNAs, mRNA splicing, alternative polyadenylation) Regulation - Focus on processes that mediate gene-read out (epigenetics, chromatin, histone code, transcription, translation, protein degradation). Cell Signaling - Focus on mechanisms that control information flow into the nucleus to control gene expression (kinase and phosphatase pathways controlled by extra-cellular ligands, Wnt, Notch, TGFbeta/BMPs, FGFs, IGFs etc.) Profiling of gene expression and genetic variation - Focus on high throughput approaches (e.g., DeepSeq, ChIP-Seq, Affymetrix microarrays, proteomics) that define gene regulatory circuitry, molecular pathways and protein/protein networks. Genetics - Focus on development in model organisms (e.g., mouse, frog, fruit fly, worm), human genetic variation, population genetics, as well as agricultural and veterinary genetics. Molecular Pathology & Regenerative Medicine - Focus on the deregulation of molecular processes in human diseases and mechanisms supporting regeneration of tissues through pluripotent or multipotent stem cells.
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