Genome-Wide Identification and Expression Analysis of the NLP Family in Sweet Potato and Its Two Diploid Relatives

NIN-like proteins (NLPs) are conserved, plant-specific transcription factors that play crucial roles in the nitrate signaling response, plant growth and development, and abiotic stress responses. However, their functions have not been explored in sweet potato. In this study, we identified 7 <i>NLPs</i> in cultivated hexaploid sweet potato (<i>Ipomoea batatas</i>, 2n = 6x = 90), 9 <i>NLPs</i> in the diploid relative <i>Ipomoea trifida</i> (2n = 2x = 30), and 12 <i>NLPs</i> in <i>Ipomoea triloba</i> (2n = 2x = 30) via genome structure analysis and phylogenetic characterization, respectively. The protein physiological properties, chromosome localization, phylogenetic relationships, syntenic analysis maps, gene structure, promoter <i>cis</i>-acting regulatory elements, and protein interaction networks were systematically investigated to explore the possible roles of homologous <i>NLPs</i> in the nitrate signaling response, growth and development, and abiotic stress responses in sweet potato. The expression profiles of the identified <i>NLPs</i> in different tissues and treatments revealed tissue specificity and various expression patterns in sweet potato and its two diploid relatives, supporting differences in the evolutionary trajectories of the hexaploid sweet potato. These results are a critical first step in understanding the functions of sweet potato <i>NLPs</i> and offer more candidate genes for improving nitrogen use efficiency and increasing yield in cultivated sweet potato.

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Journal
International Journal of Molecular Sciences
Published
2025-08-29
DOI
https://doi.org/10.3390/ijms26178435
Citations
1
Primary Topic
Plant nutrient uptake and metabolism
Type
article
Field-Weighted Citation Impact
1.75

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article

Genome-Wide Identification and Expression Analysis of the NLP Family in Sweet Potato and Its Two Diploid Relatives

Shaozhen He, Shaopei Gao, Hong Zhai, Zhuoru Dai et al.
1 citations
International Journal of Molecular Sciences
Plant nutrient uptake and metabolism
1.75
article

Genome-Wide Identification and Expression Analysis of the NLP Family in Sweet Potato and Its Two Diploid Relatives

Shaozhen He, Shaopei Gao, Hong Zhai, Zhuoru Dai, Ning Zhao, Huan Zhang, Wenbin Wang, Kui Peng, Qingchang Liu, Meiqi Shang
article en
1 citations

Abstract

NIN-like proteins (NLPs) are conserved, plant-specific transcription factors that play crucial roles in the nitrate signaling response, plant growth and development, and abiotic stress responses. However, their functions have not been explored in sweet potato. In this study, we identified 7 <i>NLPs</i> in cultivated hexaploid sweet potato (<i>Ipomoea batatas</i>, 2n = 6x = 90), 9 <i>NLPs</i> in the diploid relative <i>Ipomoea trifida</i> (2n = 2x = 30), and 12 <i>NLPs</i> in <i>Ipomoea triloba</i> (2n = 2x = 30) via genome structure analysis and phylogenetic characterization, respectively. The protein physiological properties, chromosome localization, phylogenetic relationships, syntenic analysis maps, gene structure, promoter <i>cis</i>-acting regulatory elements, and protein interaction networks were systematically investigated to explore the possible roles of homologous <i>NLPs</i> in the nitrate signaling response, growth and development, and abiotic stress responses in sweet potato. The expression profiles of the identified <i>NLPs</i> in different tissues and treatments revealed tissue specificity and various expression patterns in sweet potato and its two diploid relatives, supporting differences in the evolutionary trajectories of the hexaploid sweet potato. These results are a critical first step in understanding the functions of sweet potato <i>NLPs</i> and offer more candidate genes for improving nitrogen use efficiency and increasing yield in cultivated sweet potato.

International Journal of Molecular SciencesVol. 26(17)
Ministry of Agriculture (ID), Sanya University (CN), China Agricultural University (CN)
National Natural Science Foundation of China, Chinese Universities Scientific Fund, National Key Research and Development Program of China
Openalex Percentile: Top 13%
Plant nutrient uptake and metabolism
1.75
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