Statistical Genomics Analysis of Simple Sequence Repeats from the Paphiopedilum Malipoense Transcriptome Reveals Control Knob Motifs Modulating Gene Expression

Author:

Liang Yingyi1ORCID,Hao Jing1ORCID,Wang Jieyu2,Zhang Guoqiang3,Su Yingjuan45,Liu Zhong‐Jian3,Wang Ting1ORCID

Affiliation:

1. College of Life Sciences South China Agricultural University Guangzhou 510642 China

2. College of Forestry and Landscape Architecture South China Agricultural University Guangzhou 510642 China

3. Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape Architecture and Art Fujian Agriculture and Forestry University Fuzhou 350002 China

4. School of Life Sciences Sun Yat‐sen University Guangzhou 510275 China

5. Research Institute of Sun Yat‐sen University in Shenzhen Shenzhen 518107 China

Abstract

AbstractSimple sequence repeats (SSRs) are found in nonrandom distributions in genomes and are thought to impact gene expression. The distribution patterns of 48 295 SSRs of Paphiopedilum malipoense are mined and characterized based on the first full‐length transcriptome and comprehensive transcriptome dataset from 12 organs. Statistical genomics analyses are used to investigate how SSRs in transcripts affect gene expression. The results demonstrate the correlations between SSR distributions, characteristics, and expression level. Nine expression‐modulating motifs (expMotifs) are identified and a model is proposed to explain the effect of their key features, potency, and gene function on an intra‐transcribed region scale. The expMotif‐transcribed region combination is the most predominant contributor to the expression‐modulating effect of SSRs, and some intra‐transcribed regions are critical for this effect. Genes containing the same type of expMotif‐SSR elements in the same transcribed region are likely linked in function, regulation, or evolution aspects. This study offers novel evidence to understand how SSRs regulate gene expression and provides potential regulatory elements for plant genetic engineering.

Funder

National Natural Science Foundation of China

Fujian Agriculture and Forestry University

Publisher

Wiley

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