Skip to main content
Log in

Genome-Wide Identification of MicroRNAs that are Responsive to Virus/Viroid Infection in Nectarine Trees Through High-Throughput Sequencing

  • Published:
Tropical Plant Biology Aims and scope Submit manuscript

Abstract

Peach is one of the most widely grown fruit crops in China, nectarine [Prunus persica (L.) Batsch var. nucipersica (Suckow) C.K. Schneid.] is an important commercial variety of peach. MicroRNAs (miRNAs) play important functions in post-transcriptional gene regulation in plants. In this study, miRNAs and their target genes were identified and predicted by sequencing four small RNA libraries prepared from nectarine leaf and fruit tissues infected with different virus/viroid combinations using next-generation sequencing technology (NGS). A total of 116 known peach miRNAs were identified, and 303 putative novel miRNAs were predicted. Some of these miRNAs were found to be highly conserved. Most of the novel miRNAs were 24-nt in length and many of these miRNAs came from MIR5271 and MIR7717 families. All differently expressed miRNAs had 2785 putative target genes. Comparative profiling revealed that 45 miRNAs exhibited significant differential expression between leaf and fruit tissue. Moreover, expression levels of these miRNAs were significantly affected in the two tissues despite the fact that the trees were infected by different virus/viroid combinations. We also found that there were more differentially expressed miRNAs in leaves tissue than in fruits, and a few miRNAs were identified that play important roles in the response to virus/viroid infection. Our results show that the expression of some miRNAs appears to be tissue-specific, and virus/viroid infection had a greater effect on the miRNA expression profiles in leaves than in fruits of nectarine. We hypothesize that virus/viroid infection induces the production of many novel miRNAs and also affects their lengths.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Abbreviations

ACLSV:

Apple chlorotic leaf spot virus

ASGV:

Apple stem grooving virus

ASPV:

Apple stem pitting virus

ATP:

Adenosine triphosphate

bp:

Base pair

CGMMV:

Cucumber green mottle mosaic virus

FC:

Fold change

FDR:

False discovery rate

GO:

Gene Ontology

IPGI:

International Peach Genome Initiative

KEGG:

Kyoto Encyclopedia of Genes and Genomes

min:

Minute

miRNAs:

MicroRNAs

NGS:

Next-generation sequencing

nt:

Nucleotide(s)

PLMVd:

Peach latent mosaic viroid

RISC:

RNA-induced silencing complexes

RNA:

Ribonucleic Acid

rpm:

Revolutions per minute

rRNA:

Ribosomal RNA

RSV:

Rice stripe virus

RT-qPCR:

Real-time quantitative PCR

sec:

Second

snoRNA:

Small nucleolar RNA

snRNA:

Small nuclear RNA

sRNA:

Small RNA

TEF-2:

Translation enlongation factor 2

tRNA:

Transfer RNA

References

Download references

Acknowledgements

This work was supported by the earmarked fund of the China Agriculture Research System (grant number CARS-30-3-01), the Key Inter-Governmental Projects of the National Key Research and Development Program [grant number 2017YFE0110900].

Author information

Authors and Affiliations

Authors

Contributions

Lu Meiguang contributed to the study conception and design. Data collection and analysis were performed by Yang Lijuan and Lu Meiguang. The first draft of the manuscript was written and revised by Yang Lijuan and Lu Meiguang. Material preparation and Investigation by Li Shifang and Zhang Zimeng. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Meiguang Lu.

Additional information

Communicated by: Yuan Qin

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, L., Li, S., Zhang, Z. et al. Genome-Wide Identification of MicroRNAs that are Responsive to Virus/Viroid Infection in Nectarine Trees Through High-Throughput Sequencing. Tropical Plant Biol. 15, 78–92 (2022). https://doi.org/10.1007/s12042-021-09300-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12042-021-09300-8

Keywords

Navigation