Identification and analysis of major latex protein (MLP) family genes in Rosa chinensis responsive to Botrytis cinerea infection by RNA-seq approaches

Roses (<i>Rosa chinensis</i>) are among the most cherished ornamental plants globally, yet they are highly susceptible to infections by <i>Botrytis cinerea</i>, the causative agent of gray mold disease. Here we inoculated the resistant rose variety 'Yellow Leisure Liness' with <i>B. cinerea</i> to investigate its resistance mechanisms against gray mold disease. Through transcriptome sequencing, we identified 578 differentially expressed genes (DEGs) that were significantly upregulated at 24, 48, and 72 hours post-inoculation, with these genes significantly enriched for three defense response-related GO terms. Further domain analysis of the genes in these GO terms reveal that 21 DEGs contain the Bet v 1 family domain, belonging to the major latex protein (<i>MLP</i>) gene family, suggesting their potential key role in rose disease resistance. Furthermore, we systematically identified 46 <i>RcMLP</i> genes in roses and phylogenetically categorized them into two distinct subfamilies: group I and II. Genomic duplication analysis indicates that tandem duplication is the main driver for the expansion of the <i>RcMLP</i> family, and these genes have undergone by purifying selection. Additionally, detailed analyses of gene structure, motif composition, and promoter regions reveal that <i>RcMLP</i> genes contain numerous stress-responsive elements, with 32 <i>RcMLP</i> genes harboring fungal elicitor/wound-responsive elements. The constructed potential transcription factor regulatory network showed significant enrichment of the ERF transcription factor family in the regulation of <i>RcMLP</i> genes. Gene expression analysis reveal that DEGs are mainly distributed in subfamily II, where four highly expressed genes (<i>RcMLP13</i>, <i>RcMLP28</i>, <i>RcMLP14</i>, and <i>RcMLP27</i>) are identified in a small branch, with their fold change exceeding ten folds and verified by qRT-PCR. In summary, our research results underscore the potential importance of the <i>RcMLP</i> gene family in response to <i>B. cinerea</i> infection and provide comprehensive basis for further function exploration of the <i>MLP</i> gene family in rose resistance to fungal infections.

Authors

Institutions

Publication Details

Journal
Frontiers in Plant Science
Published
2024-12-13
DOI
https://doi.org/10.3389/fpls.2024.1511597
Citations
2
Primary Topic
Plant biochemistry and biosynthesis
Type
article
Field-Weighted Citation Impact
0.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification and analysis of major latex protein (MLP) family genes in Rosa chinensis responsive to Botrytis cinerea infection by RNA-seq approaches

Peihuang Zhu, Changbing Huang, Zhé Hóu, Haoyuan Chen et al.
2 citations
Frontiers in Plant Science
Plant biochemistry and biosynthesis
0.47
article

Identification and analysis of major latex protein (MLP) family genes in Rosa chinensis responsive to Botrytis cinerea infection by RNA-seq approaches

Peihuang Zhu, Changbing Huang, Zhé Hóu, Haoyuan Chen, Qingkui Li, Peilei Cheng, Chunlan Dong, Taotao Yan
article en
2 citations

Abstract

Roses (<i>Rosa chinensis</i>) are among the most cherished ornamental plants globally, yet they are highly susceptible to infections by <i>Botrytis cinerea</i>, the causative agent of gray mold disease. Here we inoculated the resistant rose variety 'Yellow Leisure Liness' with <i>B. cinerea</i> to investigate its resistance mechanisms against gray mold disease. Through transcriptome sequencing, we identified 578 differentially expressed genes (DEGs) that were significantly upregulated at 24, 48, and 72 hours post-inoculation, with these genes significantly enriched for three defense response-related GO terms. Further domain analysis of the genes in these GO terms reveal that 21 DEGs contain the Bet v 1 family domain, belonging to the major latex protein (<i>MLP</i>) gene family, suggesting their potential key role in rose disease resistance. Furthermore, we systematically identified 46 <i>RcMLP</i> genes in roses and phylogenetically categorized them into two distinct subfamilies: group I and II. Genomic duplication analysis indicates that tandem duplication is the main driver for the expansion of the <i>RcMLP</i> family, and these genes have undergone by purifying selection. Additionally, detailed analyses of gene structure, motif composition, and promoter regions reveal that <i>RcMLP</i> genes contain numerous stress-responsive elements, with 32 <i>RcMLP</i> genes harboring fungal elicitor/wound-responsive elements. The constructed potential transcription factor regulatory network showed significant enrichment of the ERF transcription factor family in the regulation of <i>RcMLP</i> genes. Gene expression analysis reveal that DEGs are mainly distributed in subfamily II, where four highly expressed genes (<i>RcMLP13</i>, <i>RcMLP28</i>, <i>RcMLP14</i>, and <i>RcMLP27</i>) are identified in a small branch, with their fold change exceeding ten folds and verified by qRT-PCR. In summary, our research results underscore the potential importance of the <i>RcMLP</i> gene family in response to <i>B. cinerea</i> infection and provide comprehensive basis for further function exploration of the <i>MLP</i> gene family in rose resistance to fungal infections.

Frontiers in Plant ScienceVol. 15
Suzhou Polytechnic Institute of Agriculture (CN)
Government of Jiangsu Province, Science and Technology Program of Suzhou
Life in Land
Openalex Percentile: Top 33%
Plant biochemistry and biosynthesis
0.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.