New Microsatellite Markers for Perilla frutescens (L.) Britton | Chapter 3 | Emerging Issues in Agricultural Sciences Vol. 8

 Perilla crop (Perilla frutescens L.) is respected as a health food and established food in Korea. However, there is still a lack of Perilla plain sequence repeat (SSR) or microsatellite textbook sets for studying genetic variety and phylogenetic connections among accessions of refined and weedy types of Perilla crop from East Asia, especially Korea. In our premature study, we obtained 15,991 SSR positions from transcriptome sequencing by RNA-seq in one refined type (PF98095) of P. frutescens var. frutescens. 37 novel Perilla SSR primer sets were created for Perilla class based on RNA sequences got from transcriptome research. These novel Perilla SSR markers were used to examine the historical diversity of 15 farmed and thin Perilla crop accessions. There were 182 verified alleles in 37 positions, with an average of 4.9 alleles per locus and varying from 2 to 9 alleles per locus. The main allele frequency (MAF) per locus different from 0.200 to 0.733, with an average of 0.463. The deoxyribonucleic acid diversity (GD) categorized from 0.391 to 0.853, with an average of 0.670. The average polymorphic facts content (PIC) was 0.624, ranging from 0.315 to 0.838. The novel Perilla SSR tombstones presented in this place work may provide acceptable markers for resolving the genetic diversity and hereditary connections of cultured and weedy Perilla crop assortments. Furthermore, novel Perilla SSR markers derived from transcriptome reasoning can be secondhand for cultivar proof of similarity, conservation of Perilla germplasm resources, and ancestral mapping and mark of relevant genes/QTLs for future Perilla agricultural development efforts.

Author(s) Details:

Ju Kyong Lee,
Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon 24341, Korea.

Please see the link here: https://stm.bookpi.org/EIAS-V8/article/view/12061

Genomic Characterization of Indian Mithun (Bos frontalis), Wild Gaur (Bos gaurus) and Tho-Tho Cattle (Bos indicus) – Population Diversity, Unique Phylogenetic and Chromosomal Status | Chapter 6 | Cutting Edge Research in Biology Vol. 6

 Mithun (Bos frontalis) or gayal and Indian Bison or untamed gaur (Bos gaurus) are listed among India's precious and endangered bovine variety. The remote neighborhood of mithun in four North Eastern Hill states (Arunachal Pradesh, Nagaland, Manipur, and Mizoram), scattered population size, and lack of hereditary diversity status are main constraints to developing an appropriate development and conservation policy for these variety. Tho-tho cattle are inborn to Nagaland, sharing similar terrestrial locations with mithun. Genomic flags (bovine microsatellites) and complete sequence dossier of mitochondrial transmembrane protein coding cytochrome B (CYTB) gene were took advantage of for the assessment of differing population parameters and ancestral diversity of mithun, gaur, and Tho-tho cattle. Molecular cytogenetic reasoning using FISH revealed familial proximity of mithun with gaur, alternatively cattle class. This study represents the first comprehensive genomic and cytogenetic description showing the population construction, genetic diversity, and singular phylogenetic status of exceptional Indian bovines: Mithun, wild gaur, and Tho-tho herd.

Author(s) Details:

Sabyasachi Mukherjee,
Animal Genetics and Breeding Laboratory, National Research Centre on Mithun, Nagaland-797106, India.

Anupama Mukherjee,
ICAR-National Dairy Research Institute, Karnal, Haryana-132001, India.

Sanjeev Kumar,
Central Avian Research Institute, Izatnagar, Bareilly, Uttar Pradesh-243122, India.

Harendra Verma,
ICAR Research Complex for NEH Region, Nagaland Centre-797106, India.

Shivam Bhardwaj,
ICAR-National Dairy Research Institute, Karnal, Haryana-132001, India.

Oshin Togla,
ICAR-National Dairy Research Institute, Karnal, Haryana-132001, India.

Siddhartha Narayan Joardar,
West Bengal University of Animal and Fishery Sciences, Kolkata, West Bengal-700037, India.

Imsusosang Longkumer,
Animal Genetics and Breeding Laboratory, National Research Centre on Mithun, Nagaland-797106, India.

Moonmoon Mech,
Animal Genetics and Breeding Laboratory, National Research Centre on Mithun, Nagaland-797106, India.

Kobu Khate,
Animal Genetics and Breeding Laboratory, National Research Centre on Mithun, Nagaland-797106, India.

Kezhavituo Vupru,
Animal Genetics and Breeding Laboratory, National Research Centre on Mithun, Nagaland-797106, India.

Suresh Kumar,
Shri Chamarajendra Zoological Gardens, Mysore, Karnataka – 570004, India.

M. H. Khan,
Animal Genetics and Breeding Laboratory, National Research Centre on Mithun, Nagaland-797106, India.

Please see the link here: https://stm.bookpi.org/CERB-V6/article/view/10221

Screening of Soybean Genotypes against Drought on the Basis of Gene-Linked Microsatellite Markers | Chapter 04 | Innovations in Science and Technology Vol. 3

 Because of its enormous contribution as a vegetable oil and protein in the human diet, soybean is considered an important crop. Nonetheless, because to the usual occurrence of drought-related stress, its output has been exaggeratedly reduced. In this study, a total of 12 SSR molecular markers were used to screen 53 soybean genotypes in order to assess the efficacy of existing markers in genetic diversity analysis as well as their validation based on their association with drought tolerant genes. The largest genetic diversity (0.6629) was observed with marker Satt520, while the lowest (0.0370) was observed with marker Satt557, with an average of 0.3746. With a mean worth of 0.3063, the greatest PIC value was 0.5887, which was prearranged by related markers such as Satt520, and the lowest 0.0363 by Satt557. Some potential drought resistant genotypes, such as JS97-52 and JS95-60, were able to be distinguished from the rest of the genotypes using a dendrogram created using the banding profile of utilised markers. The current study's findings may aid in the development of drought-tolerant soybean to bread cultivars in the future.

Author(S) Details

Nishi Mishra
Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002,India.

M. K. Tripathi
Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002,India.

Niraj Tripathi
Directorate of Research Services, Jawaharlal Nehru Agricultural University, Jabalpur 482004, India.

Sushma Tiwari
Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002,India.

Neha Gupta
Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002,India.

Akash Sharma
Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002,India.

View Book:- https://stm.bookpi.org/IST-V3/article/view/5455

Micro-satellite Diversity in Kenyan Sorghum Landraces | Chapter 6 | Cutting-edge Research in Agricultural Sciences Vol. 12

 Climate change is hastening the genetic deterioration of several crops in Kenya's semi-arid regions, putting resource-poor farmers' food security in jeopardy. This study examined the genetic diversity of available Sorghum bicolor L. germplasm using simple sequence repeat (SSR) markers with the purpose of uncovering variants that can be chosen to meet the food security demands of these marginal areas. Based on their placement in the genome and the large repeat sizes they represented, 39 SSR markers were genotyped on accessions from four agro-ecological zones. The Gene Mapper software (version 3.7) was used to call the alleles, the allelobin software was used to assign sizes, and the data was then evaluated with the Power Marker software (version 3.25). The Arlequin programme was used to calculate the diversity indices and intra-population structure (version 2.0). The genetic distances were calculated using Rogers modified distance, and the accessions were clustered using principal component analysis (PCA). The average polymorphic information content (PIC) was 0.536, indicating modest levels of polymorphism. Within accessions, there was 56.37 percent heterogeneity among populations, 38.85 percent variability within individual accessions, and 4.78 percent variability among geographical sources. There was more allele fixation when there was a low level of genetic differentiation (FST = 0.048) and a high level of inbreeding (FIS = 0.59). Despite the fact that most of the accessions were identical, the findings demonstrated that there was significant genetic diversity within and among Kenyan sorghum landraces to contribute in the increase of sorghum output.

Author (S) Details

Rachel K. Kisilu
Department of Plant Sciences and Crop Protection, Faculty of Agriculture, College of Agriculture and Veterinary Sciences, University of Nairobi, P.O.Box 30197-00100, Nairobi, Kenya and Kenya Agricultural Research Institute- Katumani, P.O.Box 340-90100 Machakos, Kenya.

Kahiu Ngugi
Department of Plant Sciences and Crop Protection, Faculty of Agriculture, College of Agriculture and Veterinary Sciences, University of Nairobi, P.O.Box 30197-00100, Nairobi, Kenya.

View Book :- https://stm.bookpi.org/CRAS-V12/article/view/2367