Cargando…
Multi-Locus Sequence Analysis Reveals Diversity of the Rice Kernel Smut Populations in the United States
Rice (Oryza sativa) is the second leading cereal crop in the world and is one of the most important field crops in the US, valued at approximately $2.5 billion. Kernel smut (Tilletia horrida Tak.), once considered as a minor disease, is now an emerging economically important disease in the US. In th...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116506/ https://www.ncbi.nlm.nih.gov/pubmed/35602055 http://dx.doi.org/10.3389/fmicb.2022.874120 |
_version_ | 1784710125884276736 |
---|---|
author | Khanal, Sabin Antony-Babu, Sanjay Gaire, Shankar P. Zhou, Xin-Gen |
author_facet | Khanal, Sabin Antony-Babu, Sanjay Gaire, Shankar P. Zhou, Xin-Gen |
author_sort | Khanal, Sabin |
collection | PubMed |
description | Rice (Oryza sativa) is the second leading cereal crop in the world and is one of the most important field crops in the US, valued at approximately $2.5 billion. Kernel smut (Tilletia horrida Tak.), once considered as a minor disease, is now an emerging economically important disease in the US. In this study, we used multi-locus sequence analysis to investigate the genetic diversity of 63 isolates of T. horrida collected from various rice-growing areas across in the US. Three different phylogeny analyses (maximum likelihood, neighbor-joining, and minimum evolution) were conducted based on the gene sequence sets, consisting of all four genes concatenated together, two rRNA regions concatenated together, and only ITS region sequences. The results of multi-gene analyses revealed the presence of four clades in the US populations, with 59% of the isolates clustering together. The populations collected from Mississippi and Louisiana were found to be the most diverse, whereas the populations from Arkansas and California were the least diverse. Similarly, ITS region-based analysis revealed that there were three clades in the T. horrida populations, with a majority (76%) of the isolates clustering together along with the 22 Tilletia spp. from eight different countries (Australia, China, India, Korea, Pakistan, Taiwan, The US, and Vietnam) that were grouped together. Two of the three clades in the ITS region-based phylogeny consisted of the isolates reported from multiple countries, suggesting potential multiple entries of T. horrida into the US. This is the first multi-locus analysis of T. horrida populations. The results will help develop effective management strategies, especially breeding for resistant cultivars, for the control of kernel smut in rice. |
format | Online Article Text |
id | pubmed-9116506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91165062022-05-19 Multi-Locus Sequence Analysis Reveals Diversity of the Rice Kernel Smut Populations in the United States Khanal, Sabin Antony-Babu, Sanjay Gaire, Shankar P. Zhou, Xin-Gen Front Microbiol Microbiology Rice (Oryza sativa) is the second leading cereal crop in the world and is one of the most important field crops in the US, valued at approximately $2.5 billion. Kernel smut (Tilletia horrida Tak.), once considered as a minor disease, is now an emerging economically important disease in the US. In this study, we used multi-locus sequence analysis to investigate the genetic diversity of 63 isolates of T. horrida collected from various rice-growing areas across in the US. Three different phylogeny analyses (maximum likelihood, neighbor-joining, and minimum evolution) were conducted based on the gene sequence sets, consisting of all four genes concatenated together, two rRNA regions concatenated together, and only ITS region sequences. The results of multi-gene analyses revealed the presence of four clades in the US populations, with 59% of the isolates clustering together. The populations collected from Mississippi and Louisiana were found to be the most diverse, whereas the populations from Arkansas and California were the least diverse. Similarly, ITS region-based analysis revealed that there were three clades in the T. horrida populations, with a majority (76%) of the isolates clustering together along with the 22 Tilletia spp. from eight different countries (Australia, China, India, Korea, Pakistan, Taiwan, The US, and Vietnam) that were grouped together. Two of the three clades in the ITS region-based phylogeny consisted of the isolates reported from multiple countries, suggesting potential multiple entries of T. horrida into the US. This is the first multi-locus analysis of T. horrida populations. The results will help develop effective management strategies, especially breeding for resistant cultivars, for the control of kernel smut in rice. Frontiers Media S.A. 2022-05-04 /pmc/articles/PMC9116506/ /pubmed/35602055 http://dx.doi.org/10.3389/fmicb.2022.874120 Text en Copyright © 2022 Khanal, Antony-Babu, Gaire and Zhou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Khanal, Sabin Antony-Babu, Sanjay Gaire, Shankar P. Zhou, Xin-Gen Multi-Locus Sequence Analysis Reveals Diversity of the Rice Kernel Smut Populations in the United States |
title | Multi-Locus Sequence Analysis Reveals Diversity of the Rice Kernel Smut Populations in the United States |
title_full | Multi-Locus Sequence Analysis Reveals Diversity of the Rice Kernel Smut Populations in the United States |
title_fullStr | Multi-Locus Sequence Analysis Reveals Diversity of the Rice Kernel Smut Populations in the United States |
title_full_unstemmed | Multi-Locus Sequence Analysis Reveals Diversity of the Rice Kernel Smut Populations in the United States |
title_short | Multi-Locus Sequence Analysis Reveals Diversity of the Rice Kernel Smut Populations in the United States |
title_sort | multi-locus sequence analysis reveals diversity of the rice kernel smut populations in the united states |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116506/ https://www.ncbi.nlm.nih.gov/pubmed/35602055 http://dx.doi.org/10.3389/fmicb.2022.874120 |
work_keys_str_mv | AT khanalsabin multilocussequenceanalysisrevealsdiversityofthericekernelsmutpopulationsintheunitedstates AT antonybabusanjay multilocussequenceanalysisrevealsdiversityofthericekernelsmutpopulationsintheunitedstates AT gaireshankarp multilocussequenceanalysisrevealsdiversityofthericekernelsmutpopulationsintheunitedstates AT zhouxingen multilocussequenceanalysisrevealsdiversityofthericekernelsmutpopulationsintheunitedstates |