Expression Profiles of Microsatellites in Fruit Tissues of Akebia trifoliata and Development of Efficient EST-SSR Markers

Genes (Basel). 2022 Aug 15;13(8):1451. doi: 10.3390/genes13081451.

Abstract

Akebia trifoliata, a member of the family Lardizabalaceae, has high exploitation potential for multiple economic purposes, so genetic improvements to meet requirements for commercial demand are needed. However, this progress is largely impeded by a lack of effective selection markers. In this study, we obtained 271.49 Gb of clean transcriptomic data from 12 samples (three tissues at four developmental stages) of A. trifoliata fruit. We identified 175,604, 194,370, and 207,906 SSRs from the de novo assembled 416,363, 463,756, and 491,680 unigene sequences obtained from the flesh, seed, and rind tissues, respectively. The profile and proportion of SSR motifs expressed in each fruit tissue and developmental stage were remarkably similar, but many trinucleotide repeats had differential expression levels among different tissues or at different developmental stages. In addition, we successfully designed 16,869 functional EST-SSR primers according to the annotated unigenes. Finally, 94 and 72 primer pairs out of 100 randomly selected primer pairs produced clear bands and polymorphic bands, respectively. These results were also used to elucidate the expression profiles of different tissues at various stages. Additionally, we provided a set of effective, polymorphic, and reliable EST-SSR markers sufficient for accelerating the discovery of metabolic and pathway-specific functional genes for genetic improvement and increased commercial productivity.

Keywords: Akebia trifoliata; EST-SSR markers; expression profile; transcriptome; validation test.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Expressed Sequence Tags
  • Fruit* / genetics
  • Genetic Markers / genetics
  • Microsatellite Repeats* / genetics
  • Ranunculales

Substances

  • Genetic Markers

Supplementary concepts

  • Lardizabalaceae

Grants and funding

This research was funded by the Science and Technology Department of Sichuan Province, grant numbers 2020YFN0057, 2020YFN0091, and 2020YJ0331, and the Bureau of Science and Technology of Fuling of Chongqing, grant number FLKJ-2021ABB1016.