Identification and expression characteristics of NIN-like protein (NLP) gene family in cucumber plant (Cucumis sativus L.)

In this study, we identified members of the cucumber family, conducted a comprehensive bioinformatics analysis of them, analyzed their evolutionary relationships, and predicted their potential functions. The results showed that there were 3 homologous genes in cucumber. The evolutionary analysis of NLPs in different species showed that the NLP family proteins mostly contained three conserved domains: RWP-RK, PB-1 and GAF-like domains. All of them contained four introns and five exons, and the motif composition and protein structure were similar. By analyzing the promoter region, it was found that the cucumber NLP gene family contains cis-acting elements related to plant growth, environmental stress and hormone signaling, suggesting that this gene family may be involved in the growth and development of cucumber under stress and stress response. The cucumber NLP family genes were expressed in root, stem, leaf, flower, NLP and fruit tissues, and the CsNLP2 gene showed the highest expression in leaves. Interestingly, family genes respond to both nitrogen environment changesand abiotic stresses, especially CsNLP2. Further subcellular localization analysis showed that CsNLP2 was mainly located in the nucleus. The CsNLP2 transcription factor positively regulates the expression of CsNRT2.3 gene, which encodes the nitrate transporter. Overall, CsNLP2 was a strong candidate gene for improving nitrogen use efficiency in cucumber.

Authors

Institutions

Publication Details

Journal
BMC Plant Biology
Published
2025-08-30
DOI
https://doi.org/10.1186/s12870-025-07203-4
Citations
1
Primary Topic
Plant nutrient uptake and metabolism
Type
article
Field-Weighted Citation Impact
1.75

Funders

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

Identification and expression characteristics of NIN-like protein (NLP) gene family in cucumber plant (Cucumis sativus L.)

Luyu Li, Dandan Cui, Juanqi Li, Meng Li et al.
1 citations
BMC Plant Biology
Plant nutrient uptake and metabolism
1.75
article

Identification and expression characteristics of NIN-like protein (NLP) gene family in cucumber plant (Cucumis sativus L.)

Luyu Li, Dandan Cui, Juanqi Li, Meng Li, Shengli Li, Yang Li, Mengwei Huang, Huaijuan Xiao, Yijing Xing, Renbiao Jin
article en
1 citations

Abstract

In this study, we identified members of the cucumber family, conducted a comprehensive bioinformatics analysis of them, analyzed their evolutionary relationships, and predicted their potential functions. The results showed that there were 3 homologous genes in cucumber. The evolutionary analysis of NLPs in different species showed that the NLP family proteins mostly contained three conserved domains: RWP-RK, PB-1 and GAF-like domains. All of them contained four introns and five exons, and the motif composition and protein structure were similar. By analyzing the promoter region, it was found that the cucumber NLP gene family contains cis-acting elements related to plant growth, environmental stress and hormone signaling, suggesting that this gene family may be involved in the growth and development of cucumber under stress and stress response. The cucumber NLP family genes were expressed in root, stem, leaf, flower, NLP and fruit tissues, and the CsNLP2 gene showed the highest expression in leaves. Interestingly, family genes respond to both nitrogen environment changesand abiotic stresses, especially CsNLP2. Further subcellular localization analysis showed that CsNLP2 was mainly located in the nucleus. The CsNLP2 transcription factor positively regulates the expression of CsNRT2.3 gene, which encodes the nitrate transporter. Overall, CsNLP2 was a strong candidate gene for improving nitrogen use efficiency in cucumber.

BMC Plant BiologyVol. 25(1)
Henan Agricultural University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 13%
Plant nutrient uptake and metabolism
1.75
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.