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Mining for genes related to pistil abortion in Prunus sibirica L.
In Prunus sibirica, the phenomenon of pistil abortion is very common and seriously affects its fruit quality and yield; however, the molecular mechanisms of pistil abortion remains unclear. In this study, we identified differentially expressed genes (DEGs) and pathways associated with pistil abortio...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673769/ https://www.ncbi.nlm.nih.gov/pubmed/36405023 http://dx.doi.org/10.7717/peerj.14366 |
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author | Chen, Jianhua Zhang, Jian Liu, Quangang Wang, Xinxin Wen, Jiaxing Sun, Yongqiang Dong, Shengjun |
author_facet | Chen, Jianhua Zhang, Jian Liu, Quangang Wang, Xinxin Wen, Jiaxing Sun, Yongqiang Dong, Shengjun |
author_sort | Chen, Jianhua |
collection | PubMed |
description | In Prunus sibirica, the phenomenon of pistil abortion is very common and seriously affects its fruit quality and yield; however, the molecular mechanisms of pistil abortion remains unclear. In this study, we identified differentially expressed genes (DEGs) and pathways associated with pistil abortion using transcriptome sequencing. After comparative analysis, a total of 1,950 DEGs were identified, of which 1,000 were upregulated, and 950 were downregulated. Gene Ontology (GO) functional enrichment analysis of DEGs showed that metabolic process, cellular process, single-organism process, membrane, membrane part, cell, binding, catalytic activity, and transporter activity contained the largest number of DEGs. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that the plant-pathogen interaction, starch and sucrose metabolism, and plant hormone signal transduction pathways contained the largest number of DEGs. The NAC, bHLH, and B3 transcription factor families contained the largest number of DEGs. qRT-PCR detection confirmed that the gene expression levels were consistent with the transcriptome sequencing results. This study provides a theoretical basis and scientific basis for further research on the molecular mechanisms of P. sibirica pistil abortion. |
format | Online Article Text |
id | pubmed-9673769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96737692022-11-19 Mining for genes related to pistil abortion in Prunus sibirica L. Chen, Jianhua Zhang, Jian Liu, Quangang Wang, Xinxin Wen, Jiaxing Sun, Yongqiang Dong, Shengjun PeerJ Developmental Biology In Prunus sibirica, the phenomenon of pistil abortion is very common and seriously affects its fruit quality and yield; however, the molecular mechanisms of pistil abortion remains unclear. In this study, we identified differentially expressed genes (DEGs) and pathways associated with pistil abortion using transcriptome sequencing. After comparative analysis, a total of 1,950 DEGs were identified, of which 1,000 were upregulated, and 950 were downregulated. Gene Ontology (GO) functional enrichment analysis of DEGs showed that metabolic process, cellular process, single-organism process, membrane, membrane part, cell, binding, catalytic activity, and transporter activity contained the largest number of DEGs. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that the plant-pathogen interaction, starch and sucrose metabolism, and plant hormone signal transduction pathways contained the largest number of DEGs. The NAC, bHLH, and B3 transcription factor families contained the largest number of DEGs. qRT-PCR detection confirmed that the gene expression levels were consistent with the transcriptome sequencing results. This study provides a theoretical basis and scientific basis for further research on the molecular mechanisms of P. sibirica pistil abortion. PeerJ Inc. 2022-11-15 /pmc/articles/PMC9673769/ /pubmed/36405023 http://dx.doi.org/10.7717/peerj.14366 Text en ©2022 Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Developmental Biology Chen, Jianhua Zhang, Jian Liu, Quangang Wang, Xinxin Wen, Jiaxing Sun, Yongqiang Dong, Shengjun Mining for genes related to pistil abortion in Prunus sibirica L. |
title | Mining for genes related to pistil abortion in Prunus sibirica L. |
title_full | Mining for genes related to pistil abortion in Prunus sibirica L. |
title_fullStr | Mining for genes related to pistil abortion in Prunus sibirica L. |
title_full_unstemmed | Mining for genes related to pistil abortion in Prunus sibirica L. |
title_short | Mining for genes related to pistil abortion in Prunus sibirica L. |
title_sort | mining for genes related to pistil abortion in prunus sibirica l. |
topic | Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673769/ https://www.ncbi.nlm.nih.gov/pubmed/36405023 http://dx.doi.org/10.7717/peerj.14366 |
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