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Single-cell analysis identifies genes facilitating rhizobium infection in Lotus japonicus
Legume-rhizobium signaling during establishment of symbiotic nitrogen fixation restricts rhizobium colonization to specific cells. A limited number of root hair cells allow infection threads to form, and only a fraction of the epidermal infection threads progress to cortical layers to establish func...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630511/ https://www.ncbi.nlm.nih.gov/pubmed/37935666 http://dx.doi.org/10.1038/s41467-023-42911-1 |
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author | Frank, Manuel Fechete, Lavinia Ioana Tedeschi, Francesca Nadzieja, Marcin Nørgaard, Malita Malou Malekzadeh Montiel, Jesus Andersen, Kasper Røjkjær Schierup, Mikkel H. Reid, Dugald Andersen, Stig Uggerhøj |
author_facet | Frank, Manuel Fechete, Lavinia Ioana Tedeschi, Francesca Nadzieja, Marcin Nørgaard, Malita Malou Malekzadeh Montiel, Jesus Andersen, Kasper Røjkjær Schierup, Mikkel H. Reid, Dugald Andersen, Stig Uggerhøj |
author_sort | Frank, Manuel |
collection | PubMed |
description | Legume-rhizobium signaling during establishment of symbiotic nitrogen fixation restricts rhizobium colonization to specific cells. A limited number of root hair cells allow infection threads to form, and only a fraction of the epidermal infection threads progress to cortical layers to establish functional nodules. Here we use single-cell analysis to define the epidermal and cortical cell populations that respond to and facilitate rhizobium infection. We then identify high-confidence nodulation gene candidates based on their specific expression in these populations, pinpointing genes stably associated with infection across genotypes and time points. We show that one of these, which we name SYMRKL1, encodes a protein with an ectodomain predicted to be nearly identical to that of SYMRK and is required for normal infection thread formation. Our work disentangles cellular processes and transcriptional modules that were previously confounded due to lack of cellular resolution, providing a more detailed understanding of symbiotic interactions. |
format | Online Article Text |
id | pubmed-10630511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106305112023-11-07 Single-cell analysis identifies genes facilitating rhizobium infection in Lotus japonicus Frank, Manuel Fechete, Lavinia Ioana Tedeschi, Francesca Nadzieja, Marcin Nørgaard, Malita Malou Malekzadeh Montiel, Jesus Andersen, Kasper Røjkjær Schierup, Mikkel H. Reid, Dugald Andersen, Stig Uggerhøj Nat Commun Article Legume-rhizobium signaling during establishment of symbiotic nitrogen fixation restricts rhizobium colonization to specific cells. A limited number of root hair cells allow infection threads to form, and only a fraction of the epidermal infection threads progress to cortical layers to establish functional nodules. Here we use single-cell analysis to define the epidermal and cortical cell populations that respond to and facilitate rhizobium infection. We then identify high-confidence nodulation gene candidates based on their specific expression in these populations, pinpointing genes stably associated with infection across genotypes and time points. We show that one of these, which we name SYMRKL1, encodes a protein with an ectodomain predicted to be nearly identical to that of SYMRK and is required for normal infection thread formation. Our work disentangles cellular processes and transcriptional modules that were previously confounded due to lack of cellular resolution, providing a more detailed understanding of symbiotic interactions. Nature Publishing Group UK 2023-11-07 /pmc/articles/PMC10630511/ /pubmed/37935666 http://dx.doi.org/10.1038/s41467-023-42911-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Frank, Manuel Fechete, Lavinia Ioana Tedeschi, Francesca Nadzieja, Marcin Nørgaard, Malita Malou Malekzadeh Montiel, Jesus Andersen, Kasper Røjkjær Schierup, Mikkel H. Reid, Dugald Andersen, Stig Uggerhøj Single-cell analysis identifies genes facilitating rhizobium infection in Lotus japonicus |
title | Single-cell analysis identifies genes facilitating rhizobium infection in Lotus japonicus |
title_full | Single-cell analysis identifies genes facilitating rhizobium infection in Lotus japonicus |
title_fullStr | Single-cell analysis identifies genes facilitating rhizobium infection in Lotus japonicus |
title_full_unstemmed | Single-cell analysis identifies genes facilitating rhizobium infection in Lotus japonicus |
title_short | Single-cell analysis identifies genes facilitating rhizobium infection in Lotus japonicus |
title_sort | single-cell analysis identifies genes facilitating rhizobium infection in lotus japonicus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630511/ https://www.ncbi.nlm.nih.gov/pubmed/37935666 http://dx.doi.org/10.1038/s41467-023-42911-1 |
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