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Time-course transcriptome analysis and key gene identification in response to photoperiod in foxtail millet
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Luna ZHANG1, Yang CAI1, Huimin SHEN2, Zhirong YANG3, *, Xingchun WANG1, *
Plant Physiology Journal | 2026, 62(7) : 781 - 793
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Plant Physiology Journal | 2026, 62(7): 781-793
• Research Article •
Time-course transcriptome analysis and key gene identification in response to photoperiod in foxtail millet
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Luna ZHANG1, Yang CAI1, Huimin SHEN2, Zhirong YANG3, *, Xingchun WANG1, *
Affiliations
  • 1Houji Laboratory in Shanxi Province, College of Life Sciences, Shanxi Agricultural University, Taigu, Shanxi 030801, China
  • 2College of Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi 030801, China
  • 3Department of Basic Sciences, Shanxi Agricultural University, Taigu, Shanxi 030801, China
Published: 2026-07-20 doi: 10.13592/j.cnki.ppj.101469
Outline
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Aims:

Foxtail millet (Setaria italica) is a typical short-day plant, and its photoperiod sensitivity severely restricts regional adaptation. This study aims to identify core genes involved in the photoperiod response, elucidate the underlying molecular mechanism and provide a theoretical basis for breeding widely adaptable varieties.

Methods:

Foxtail millet cultivar ‘Jingu 21’ was grown under long-day (LD, 16 h light/8 h dark) or short-day (SD, 10 h light/14 h dark) conditions. The second leaf from the top was sampled at 21 and 45 days after emergence. Total RNA was extracted using a plant RNA kit. RNA-seq libraries were prepared and sequenced on an Illumina NovaSeqTM X Plus platform. Differentially expressed genes (DEGs) were identified with |log2(Fold Change)|≥1 and adjusted P≤0.05. RT-qPCR was performed to validate the RNA-seq data using the reference gene SiH3.3. Gene expression was calculated using the 2−ΔΔCt method. Functional annotation of DEGs was performed using the ‘Xiaomi’ reference genome, followed by gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses.

Results:

A total of 3 771 and 4 514 DEGs were identified in the SD21/LD21 and SD45/LD45 comparisons, respectively, with 1 291 common DEGs shared between the two stages. KEGG and GO analyses revealed that the DEGs were significantly enriched in pathways such as photoperiod response, porphyrin metabolism, and secondary metabolite biosynthesis. Under SD conditions, florigen genes SiFTa and SiFTL9 and flowering-promoting factor SiEhd1 were up-regulated, while under LD conditions, flowering repressor SiGhd7, circadian clock gene SiPRR37, and multiple SiCOL genes were significantly up-regulated.

Conclusion:

Notably, eight key heading-date regulatory genes—SiMADS14, SiFTa, SiGhd7, SiPCL1, SiFTL9, SiCOL9, SiHd1, and SiFPFL4—were differentially expressed at both stages, suggesting that they may constitute core regulatory components of the photoperiod response. This study provides a theoretical basis for clarifying the molecular mechanism of photoperiod regulation in foxtail millet and for breeding widely adaptable varieties.

foxtail millet (Setaria italica)  /  photoperiod  /  heading date  /  transcriptome  /  differentially expressed genes
张潞娜, 蔡杨, 申慧敏, 杨致荣, 王兴春. 谷子光周期响应的转录组动态解析与关键基因鉴定. 植物生理学报, 2026 , 62 (7) : 781 -793 . DOI: 10.13592/j.cnki.ppj.101469
Luna ZHANG, Yang CAI, Huimin SHEN, Zhirong YANG, Xingchun WANG. Time-course transcriptome analysis and key gene identification in response to photoperiod in foxtail millet[J]. Plant Physiology Journal, 2026 , 62 (7) : 781 -793 . DOI: 10.13592/j.cnki.ppj.101469
Year 2026 volume 62 Issue 7
136
58
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Article Info
doi: 10.13592/j.cnki.ppj.101469
  • Receive Date:2025-12-22
  • Online Date:2026-10-15
  • Published:2026-07-20
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History
  • Received:2025-12-22
  • Revised:2026-06-07
Funding
Affiliations
    1Houji Laboratory in Shanxi Province, College of Life Sciences, Shanxi Agricultural University, Taigu, Shanxi 030801, China
    2College of Agriculture, Shanxi Agricultural University, Taiyuan, Shanxi 030801, China
    3Department of Basic Sciences, Shanxi Agricultural University, Taigu, Shanxi 030801, China

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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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