Transcriptomic analysis, genic SSR development, and genetic diversity of proso millet ( Panicum miliaceum ; Poaceae)

  • Hou S
  • Sun Z
  • Li Y
  • et al.
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Abstract

Premise of the study: Proso millet (Panicum miliaceum; Poaceae) is a minor crop with good nutritional qualities and strong tolerance to drought stress and soil infertility. However, studies on genetic diversity have been limited due to a lack of efficient genetic markers. • Methods: Illumina sequencing technology was used to generate short read sequences of proso millet, and de novo transcriptome assemblies were used to develop a de novo assembly of proso millet. Genic simple sequence repeat (SSR) markers were identified and used to detect polymorphism among 56 accessions. Population structure and genetic similarity coefficient were estimated. • Results: In total, 25,341 unique gene sequences and 4724 SSR loci were obtained from the transcriptome, of which 229 pairs of SSR primers were validated, which resulted in 14 polymorphic genic SSR primers exhibiting 43 total alleles. According to the ratio of polymorphic markers (6.1%, 14/229), there are potentially 288 polymorphic genic SSR markers available for genetic assay development in the future. Bayesian population analyses showed that the 56 accessions comprised two distinct groups. • Discussion: A genetic structure and cluster assay indicated that the accessions from the Loess Plateau of China shared a high genetic similarity coefficient with those from other regions and that there was no correlation between genetic diversity and geographic origin. The transcriptome sequencing data and millet-specific SSR markers developed in this study establish an excellent resource for gene discovery and may improve the development of breeding programs in proso millet in the future.

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Hou, S., Sun, Z., Li, Y., Wang, Y., Ling, H., Xing, G., … Li, H. (2017). Transcriptomic analysis, genic SSR development, and genetic diversity of proso millet ( Panicum miliaceum ; Poaceae). Applications in Plant Sciences, 5(7). https://doi.org/10.3732/apps.1600137

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