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Comparative Study
. 2024 Oct 29;260(6):128.
doi: 10.1007/s00425-024-04555-3.

Comparative transcriptomic analysis unveils candidate genes associated with sugarcane growth rate

Affiliations
Comparative Study

Comparative transcriptomic analysis unveils candidate genes associated with sugarcane growth rate

Yegeng Fan et al. Planta. .

Abstract

Sugarcane (Saccharum spp.) growth is regulated by intricate gene networks and hormone secretions, positively correlating with sugarcane yield. There is a rising interest in exploring how the candidate genes found in sugarcane respond to plant growth. In this study, we simulated a typical growth environment to obtain accurate phenotypic data and screened for potential genes associated with plant growth through transcriptomics. Compared to Saccharum GuiTang 42, the other variety Saccharum GuiTang 44 exhibited earlier germination, a higher emergence rate, thicker pseudostems, taller plants, and a more extensive root system. The middle buds formed the greatest number of roots, followed by the lower and upper buds. Indole-3-acetic acid (IAA) and jasmonic acid effectively promoted bud development, while abscisic acid and trans-zeatin exhibited negative correlations with sugarcane bud growth. Transcriptome data from the upper, middle, and lower buds revealed 24,158 differentially expressed genes in all three comparisons, with MAPK signaling emerging as a critical pathway. The photosynthesis-antenna protein pathway is vital for middle and lower bud development during root germination. Lastly, key gene modules related to differences in hormone content between the two varieties were defined through weighted correlation network analysis and identified. The module significantly associated with IAA was enriched in pathways such as Proteasome and Protein processing in the endoplasmic reticulum, and the upregulation of key genes involved in this gene module had a highly significant positive correlation with bud outgrowth combined with IAA secretion. In conclusion, we have elucidated the pathways of hormones during sugarcane growth and the interactions between IAA and critical genes. These in-depth findings may guide modern sugarcane breeding.

Keywords: Bud; Gene networks; Hormone secretions; Sugarcane; Transcriptomics.

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References

    1. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G (2000) Gene ontology: tool for the unification of biology. The gene ontology consortium. Nat Genet 25:25–29 - DOI - PubMed - PMC
    1. Calderan-Rodrigues MJ, de Barros Dantas LL, Cheavegatti Gianotto A, Caldana C (2021) Applying molecular phenotyping tools to explore sugarcane carbon potential. Front Plant Sci 12:637166 - DOI - PubMed - PMC
    1. Chen S, Zhou Y, Chen Y, Gu J (2018) Fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34:i884–i890 - DOI - PubMed - PMC
    1. Chu N, Zhou J-R, Fu H-Y, Huang M-T, Zhang H-L, Gao S-J (2019) Global gene responses of resistant and susceptible sugarcane cultivars to Acidovorax avenae subsp. avenae identified using comparative transcriptome analysis. Microorganisms 8:10 - DOI - PubMed - PMC
    1. Correr FH, Hosaka GK, Barreto FZ, Valadao IB, Balsalobre TWA, Furtado A, Henry RJ, Carneiro MS, Margarido GRA (2020) Differential expression in leaves of Saccharum genotypes contrasting in biomass production provides evidence of genes involved in carbon partitioning. BMC Genom 21(1):673 - DOI

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