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Genome-Wide Novel Genic Microsatellite Marker Resource Development and Validation for Genetic Diversity and Population Structure Analysis of Banana

Trait tagging through molecular markers is an important molecular breeding tool for crop improvement. SSR markers encoded by functionally relevant parts of a genome are well suited for this task because they may be directly related to traits. However, a limited number of these markers are known for...

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Autores principales: Biswas, Manosh Kumar, Bagchi, Mita, Biswas, Dhiman, Harikrishna, Jennifer Ann, Liu, Yuxuan, Li, Chunyu, Sheng, Ou, Mayer, Christoph, Yi, Ganjun, Deng, Guiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763637/
https://www.ncbi.nlm.nih.gov/pubmed/33317074
http://dx.doi.org/10.3390/genes11121479
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author Biswas, Manosh Kumar
Bagchi, Mita
Biswas, Dhiman
Harikrishna, Jennifer Ann
Liu, Yuxuan
Li, Chunyu
Sheng, Ou
Mayer, Christoph
Yi, Ganjun
Deng, Guiming
author_facet Biswas, Manosh Kumar
Bagchi, Mita
Biswas, Dhiman
Harikrishna, Jennifer Ann
Liu, Yuxuan
Li, Chunyu
Sheng, Ou
Mayer, Christoph
Yi, Ganjun
Deng, Guiming
author_sort Biswas, Manosh Kumar
collection PubMed
description Trait tagging through molecular markers is an important molecular breeding tool for crop improvement. SSR markers encoded by functionally relevant parts of a genome are well suited for this task because they may be directly related to traits. However, a limited number of these markers are known for Musa spp. Here, we report 35136 novel functionally relevant SSR markers (FRSMs). Among these, 17,561, 15,373 and 16,286 FRSMs were mapped in-silico to the genomes of Musa acuminata, M. balbisiana and M. schizocarpa, respectively. A set of 273 markers was validated using eight accessions of Musa spp., from which 259 markers (95%) produced a PCR product of the expected size and 203 (74%) were polymorphic. In-silico comparative mapping of FRSMs onto Musa and related species indicated sequence-based orthology and synteny relationships among the chromosomes of Musa and other plant species. Fifteen FRSMs were used to estimate the phylogenetic relationships among 50 banana accessions, and the results revealed that all banana accessions group into two major clusters according to their genomic background. Here, we report the first large-scale development and characterization of functionally relevant Musa SSR markers. We demonstrate their utility for germplasm characterization, genetic diversity studies, and comparative mapping in Musa spp. and other monocot species. The sequences for these novel markers are freely available via a searchable web interface called Musa Marker Database.
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spelling pubmed-77636372020-12-27 Genome-Wide Novel Genic Microsatellite Marker Resource Development and Validation for Genetic Diversity and Population Structure Analysis of Banana Biswas, Manosh Kumar Bagchi, Mita Biswas, Dhiman Harikrishna, Jennifer Ann Liu, Yuxuan Li, Chunyu Sheng, Ou Mayer, Christoph Yi, Ganjun Deng, Guiming Genes (Basel) Article Trait tagging through molecular markers is an important molecular breeding tool for crop improvement. SSR markers encoded by functionally relevant parts of a genome are well suited for this task because they may be directly related to traits. However, a limited number of these markers are known for Musa spp. Here, we report 35136 novel functionally relevant SSR markers (FRSMs). Among these, 17,561, 15,373 and 16,286 FRSMs were mapped in-silico to the genomes of Musa acuminata, M. balbisiana and M. schizocarpa, respectively. A set of 273 markers was validated using eight accessions of Musa spp., from which 259 markers (95%) produced a PCR product of the expected size and 203 (74%) were polymorphic. In-silico comparative mapping of FRSMs onto Musa and related species indicated sequence-based orthology and synteny relationships among the chromosomes of Musa and other plant species. Fifteen FRSMs were used to estimate the phylogenetic relationships among 50 banana accessions, and the results revealed that all banana accessions group into two major clusters according to their genomic background. Here, we report the first large-scale development and characterization of functionally relevant Musa SSR markers. We demonstrate their utility for germplasm characterization, genetic diversity studies, and comparative mapping in Musa spp. and other monocot species. The sequences for these novel markers are freely available via a searchable web interface called Musa Marker Database. MDPI 2020-12-09 /pmc/articles/PMC7763637/ /pubmed/33317074 http://dx.doi.org/10.3390/genes11121479 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Biswas, Manosh Kumar
Bagchi, Mita
Biswas, Dhiman
Harikrishna, Jennifer Ann
Liu, Yuxuan
Li, Chunyu
Sheng, Ou
Mayer, Christoph
Yi, Ganjun
Deng, Guiming
Genome-Wide Novel Genic Microsatellite Marker Resource Development and Validation for Genetic Diversity and Population Structure Analysis of Banana
title Genome-Wide Novel Genic Microsatellite Marker Resource Development and Validation for Genetic Diversity and Population Structure Analysis of Banana
title_full Genome-Wide Novel Genic Microsatellite Marker Resource Development and Validation for Genetic Diversity and Population Structure Analysis of Banana
title_fullStr Genome-Wide Novel Genic Microsatellite Marker Resource Development and Validation for Genetic Diversity and Population Structure Analysis of Banana
title_full_unstemmed Genome-Wide Novel Genic Microsatellite Marker Resource Development and Validation for Genetic Diversity and Population Structure Analysis of Banana
title_short Genome-Wide Novel Genic Microsatellite Marker Resource Development and Validation for Genetic Diversity and Population Structure Analysis of Banana
title_sort genome-wide novel genic microsatellite marker resource development and validation for genetic diversity and population structure analysis of banana
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763637/
https://www.ncbi.nlm.nih.gov/pubmed/33317074
http://dx.doi.org/10.3390/genes11121479
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