Genome-wide identification of the SnRK gene family in willow and expression analysis under abiotic stress

BACKGROUND: Drought and nitrogen (N) deposition significantly impact plant growth in northern regions. The balance between carbon (C) and N metabolism is crucial for plant adaptation to global environmental change. Salix gordejevii is widely distributed across the northern temperate zone and is characterized by rapid growth and high adaptability. However, the molecular mechanisms underlying its adaptation to drought and N deposition remain largely unclear. Sucrose non-fermenting 1-related protein kinases (SnRKs) represent a class of serine/threonine protein kinases that are extensively involved in plant C and N metabolism, as well as in responses to abiotic stress. We hypothesised that the SnRK gene family was essential for willow adaptation to drought and N deposition, with its evolutionary and structural features being closely linked to its stress-responsive expression patterns. RESULTS: A total of 43 SpSnRK genes were identified and classified into three subfamilies: SpSnRK1 (2 members), SpSnRK2 (11 members), and SpSnRK3 (30 members). These genes exhibited an uneven distribution across the genome. Among them, 37 genes contained both coding and non-coding regions, while 6 consisted solely of coding regions. Most SpSnRK proteins were predicted to localize in the cytoplasm. The promoters of SpSnRK genes were found to be enriched with numerous stress- and hormone-responsive cis-acting elements. Furthermore, the SnRK genes expression profiles in leaves and roots were analyzed under four treatments (control, drought, N deposition, and a combination of drought and N deposition). The expression profile analysis revealed that, under drought stress or N deposition, a greater number of responsive SgSnRK genes were detected in the roots. However, under the combined conditions of drought and N deposition, the number of responsive SgSnRK genes increased significantly in the leaves. CONCLUSIONS: The SnRK gene family in willow consisted of three subfamilies that exhibit structural differences and were unevenly distributed across the chromosomes. These genes played critical roles in multiple stress signaling pathways. Furthermore, their expression in response to drought and N deposition showed tissue specificity and varies according to the mode of stress combination.These findings provide a basis for further exploration of the molecular mechanisms underlying SnRK-associated abiotic stress responses.

Authors

Institutions

Publication Details

Journal
BMC Plant Biology
Published
2026-06-12
DOI
https://doi.org/10.1186/s12870-026-09185-3
Primary Topic
Plant nutrient uptake and metabolism
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Genome-wide identification of the SnRK gene family in willow and expression analysis under abiotic stress

Haiyan Ren, Li J, Min Ma, H S Sun et al.
BMC Plant Biology
Plant nutrient uptake and metabolism
article

Genome-wide identification of the SnRK gene family in willow and expression analysis under abiotic stress

Haiyan Ren, Li J, Min Ma, H S Sun, Haifeng Song, Qianzhou Yuan
article en

Abstract

BACKGROUND: Drought and nitrogen (N) deposition significantly impact plant growth in northern regions. The balance between carbon (C) and N metabolism is crucial for plant adaptation to global environmental change. Salix gordejevii is widely distributed across the northern temperate zone and is characterized by rapid growth and high adaptability. However, the molecular mechanisms underlying its adaptation to drought and N deposition remain largely unclear. Sucrose non-fermenting 1-related protein kinases (SnRKs) represent a class of serine/threonine protein kinases that are extensively involved in plant C and N metabolism, as well as in responses to abiotic stress. We hypothesised that the SnRK gene family was essential for willow adaptation to drought and N deposition, with its evolutionary and structural features being closely linked to its stress-responsive expression patterns. RESULTS: A total of 43 SpSnRK genes were identified and classified into three subfamilies: SpSnRK1 (2 members), SpSnRK2 (11 members), and SpSnRK3 (30 members). These genes exhibited an uneven distribution across the genome. Among them, 37 genes contained both coding and non-coding regions, while 6 consisted solely of coding regions. Most SpSnRK proteins were predicted to localize in the cytoplasm. The promoters of SpSnRK genes were found to be enriched with numerous stress- and hormone-responsive cis-acting elements. Furthermore, the SnRK genes expression profiles in leaves and roots were analyzed under four treatments (control, drought, N deposition, and a combination of drought and N deposition). The expression profile analysis revealed that, under drought stress or N deposition, a greater number of responsive SgSnRK genes were detected in the roots. However, under the combined conditions of drought and N deposition, the number of responsive SgSnRK genes increased significantly in the leaves. CONCLUSIONS: The SnRK gene family in willow consisted of three subfamilies that exhibit structural differences and were unevenly distributed across the chromosomes. These genes played critical roles in multiple stress signaling pathways. Furthermore, their expression in response to drought and N deposition showed tissue specificity and varies according to the mode of stress combination.These findings provide a basis for further exploration of the molecular mechanisms underlying SnRK-associated abiotic stress responses.

BMC Plant Biology
Inner Mongolia Agricultural University (CN), Institute of Grassland Research (CN)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 7%
Plant nutrient uptake and metabolism
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.