Literature DB >> 33539339

Development and use of miRNA-derived SSR markers for the study of genetic diversity, population structure, and characterization of genotypes for breeding heat tolerant wheat varieties.

Sandhya Tyagi1,2, Anuj Kumar3, Tinku Gautam4, Renu Pandey2, Sachin Rustgi5, Reyazul Rouf Mir1.   

Abstract

Heat stress is an important abiotic factor that limits wheat production globally, including south-east Asia. The importance of micro (mi) RNAs in gene expression under various biotic and abiotic stresses is well documented. Molecular markers, specifically simple sequence repeats (SSRs), play an important role in the wheat improvement breeding programs. Given the role of miRNAs in heat stress-induced transcriptional regulation and acclimatization, the development of miRNA-derived SSRs would prove useful in studying the allelic diversity at the heat-responsive miRNA-genes in wheat. In the present study, efforts have been made to identify SSRs from 96 wheat heat-responsive miRNA-genes and their characterization using a panel of wheat genotypes with contrasting reactions (tolerance/susceptible) to heat stress. A set of 13 miRNA-derived SSR markers were successfully developed as an outcome. These miRNA-SSRs are located on 11 different common wheat chromosomes (2A, 3A, 3B, 3D, 4D, 5A, 5B, 5D, 6A, 6D, and 7A). Among 13 miRNA-SSRs, seven were polymorphic on a set of 37 selected wheat genotypes. Within these polymorphic SSRs, three makers, namely HT-169j, HT-160a, and HT-160b, were found promising as they could discriminate heat-tolerant and heat-susceptible genotypes. This is the first report of miRNA-SSR development in wheat and their deployment in genetic diversity and population structure studies and characterization of trait-specific germplasm. The study suggests that this new class of molecular makers has great potential in the marker-assisted breeding (MAB) programs targeted at improving heat tolerance and other adaptability or developmental traits in wheat and other crops.

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Year:  2021        PMID: 33539339      PMCID: PMC7861453          DOI: 10.1371/journal.pone.0231063

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  50 in total

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Authors:  Ming Chen; Zhongyang Tan; Guangming Zeng; Jun Peng
Journal:  Mol Biol Evol       Date:  2010-04-15       Impact factor: 16.240

2.  BIONJ: an improved version of the NJ algorithm based on a simple model of sequence data.

Authors:  O Gascuel
Journal:  Mol Biol Evol       Date:  1997-07       Impact factor: 16.240

3.  Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments.

Authors:  Miroslav Zorić; Dejan Dodig; Borislav Kobiljski; Steve Quarrie; Jeremy Barnes
Journal:  Genetica       Date:  2012-09-12       Impact factor: 1.082

Review 4.  Plant microRNAs: biogenesis, gene silencing, web-based analysis tools and their use as molecular markers.

Authors:  Sandhya Tyagi; Sandeep Sharma; Showkat Ahmad Ganie; Mohd Tahir; Reyazul Rouf Mir; Renu Pandey
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5.  microRNA160 dictates stage-specific auxin and cytokinin sensitivities and directs soybean nodule development.

Authors:  Narasimha Rao Nizampatnam; Spencer John Schreier; Suresh Damodaran; Sajag Adhikari; Senthil Subramanian
Journal:  Plant J       Date:  2015-10       Impact factor: 6.417

6.  Meta-analysis of major QTL for abiotic stress tolerance in barley and implications for barley breeding.

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Review 7.  Small RNAs in plants: recent development and application for crop improvement.

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Journal:  Front Plant Sci       Date:  2015-04-02       Impact factor: 5.753

8.  Triticeae resources in Ensembl Plants.

Authors:  Dan M Bolser; Arnaud Kerhornou; Brandon Walts; Paul Kersey
Journal:  Plant Cell Physiol       Date:  2014-11-27       Impact factor: 4.927

9.  Discovery of Novel Leaf Rust Responsive microRNAs in Wheat and Prediction of Their Target Genes.

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Journal:  J Nucleic Acids       Date:  2014-08-12

10.  Abiotic Stress Responsive miRNA-Target Network and Related Markers (SNP, SSR) in Brassica juncea.

Authors:  Indra Singh; Shuchi Smita; Dwijesh C Mishra; Sanjeev Kumar; Binay K Singh; Anil Rai
Journal:  Front Plant Sci       Date:  2017-11-21       Impact factor: 5.753

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  5 in total

1.  Multi-faceted approaches for breeding nutrient-dense, disease-resistant, and climate-resilient crop varieties for food and nutritional security.

Authors:  Reyazul Rouf Mir; Sachin Rustgi; Yuan-Ming Zhang; Chenwu Xu
Journal:  Heredity (Edinb)       Date:  2022-05-23       Impact factor: 3.832

2.  Development and characterization of nitrogen and phosphorus use efficiency responsive genic and miRNA derived SSR markers in wheat.

Authors:  Vijeta Sagwal; Pooja Sihag; Yogita Singh; Sheetal Mehla; Prexha Kapoor; Priyanka Balyan; Anuj Kumar; Reyazul Rouf Mir; Om Parkash Dhankher; Upendra Kumar
Journal:  Heredity (Edinb)       Date:  2022-02-07       Impact factor: 3.832

3.  ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo K-Tuple Nucleotide Compositional Features.

Authors:  Prabina Kumar Meher; Shbana Begam; Tanmaya Kumar Sahu; Ajit Gupta; Anuj Kumar; Upendra Kumar; Atmakuri Ramakrishna Rao; Krishna Pal Singh; Om Parkash Dhankher
Journal:  Int J Mol Sci       Date:  2022-01-30       Impact factor: 5.923

4.  Genome-wide association analysis to delineate high-quality SNPs for seed micronutrient density in chickpea (Cicer arietinum L.).

Authors:  Humara Fayaz; Sandhya Tyagi; Aijaz A Wani; Renu Pandey; Sabina Akhtar; Mohd Ashraf Bhat; Annapurna Chitikineni; Rajeev Kumar Varshney; Mahendar Thudi; Upendra Kumar; Reyazul Rouf Mir
Journal:  Sci Rep       Date:  2022-09-05       Impact factor: 4.996

5.  Editorial: Biotechnological and genomic approaches for enhancing agronomic performance of crops.

Authors:  Reyazul R Mir; Himabindu Kudapa; Sreepriya Pramod; Ramsey S Lewis
Journal:  Front Genet       Date:  2022-10-04       Impact factor: 4.772

  5 in total

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