Identification and response to abiotic stress of the alfalfa serine carboxypeptidase-like protein gene family

A class of acyltransferase enzymes known as serine carboxypeptidase-like (SCPL) proteins play a pivotal role in plant growth, development, and responses to stress. While SCPL proteins have been extensively studied in various plants, their biological functions in alfalfa remain largely unexplored. In this study, 39 <italic>SCPL</italic> gene family members were identified in alfalfa and classified into three subgroups (Groups I–III). Their chromosomal structure and homology were also analyzed. Gene transcription levels were analyzed, revealing that six genes were expressed in a few specific tissues, while the remaining 33 <italic>MsSCPL</italic> were expressed throughout the tissues. Additionally, analysis of <italic>cis</italic>-acting elements revealed that the <italic>SCPL</italic> gene family contains components linked to abiotic stress. Meanwhile, transcriptome analysis revealed that 11, 16, and 14 members of <italic>MsSCPL</italic> gene family were found to respond to three stresses, respectively (cold, salt, and drought), in addition to <italic>MsSCPL31/35,</italic> which responded to all stresses at the same time. The transcriptome results were further validated by RT-qPCR. This highlights the role of <italic>MsSCPL31</italic>/<italic>35</italic> in abiotic stress response, suggesting their importance for plant adaptation mechanism. These results could be crucial for understanding the mechanisms behind alfalfa <italic>SCPL</italic> gene function.

Authors

Institutions

Publication Details

Journal
Grass Research
Published
2025-01-01
DOI
https://doi.org/10.48130/grares-0025-0019
Citations
1
Primary Topic
Insect Resistance and Genetics
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification and response to abiotic stress of the alfalfa serine carboxypeptidase-like protein gene family

Yaqi Chen, Ruicai Long, Yanchao Xu, Qingchuan Yang et al.
1 citations
Grass Research
Insect Resistance and Genetics
0.81
article

Identification and response to abiotic stress of the alfalfa serine carboxypeptidase-like protein gene family

Yaqi Chen, Ruicai Long, Yanchao Xu, Qingchuan Yang, Hao Liu, Yajing Wu, Qingsong Liu, Xinyue Qu, He Zhu
article en
1 citations

Abstract

A class of acyltransferase enzymes known as serine carboxypeptidase-like (SCPL) proteins play a pivotal role in plant growth, development, and responses to stress. While SCPL proteins have been extensively studied in various plants, their biological functions in alfalfa remain largely unexplored. In this study, 39 <italic>SCPL</italic> gene family members were identified in alfalfa and classified into three subgroups (Groups I–III). Their chromosomal structure and homology were also analyzed. Gene transcription levels were analyzed, revealing that six genes were expressed in a few specific tissues, while the remaining 33 <italic>MsSCPL</italic> were expressed throughout the tissues. Additionally, analysis of <italic>cis</italic>-acting elements revealed that the <italic>SCPL</italic> gene family contains components linked to abiotic stress. Meanwhile, transcriptome analysis revealed that 11, 16, and 14 members of <italic>MsSCPL</italic> gene family were found to respond to three stresses, respectively (cold, salt, and drought), in addition to <italic>MsSCPL31/35,</italic> which responded to all stresses at the same time. The transcriptome results were further validated by RT-qPCR. This highlights the role of <italic>MsSCPL31</italic>/<italic>35</italic> in abiotic stress response, suggesting their importance for plant adaptation mechanism. These results could be crucial for understanding the mechanisms behind alfalfa <italic>SCPL</italic> gene function.

Grass ResearchVol. 5(1)
Chinese Academy of Agricultural Sciences (CN), Institute of Animal Sciences (CN), Chengdu Academy of Agriculture and Forestry Sciences (CN)
Openalex Percentile: Top 24%
Insect Resistance and Genetics
0.81
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.