Genome‐wide Identification and in silico Analysis of PHT1 Family Genes and Proteins in Setaria viridis : The Best Model to Study Nutrient Transport in Millets

  • Ceasar S
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Abstract

Millets are small-seeded cereals predominantly cultivated and consumed by millions of poor people living in developing countries in Asia and Africa. Limited availability of genomic resources hinders studies of nutrient transport in millets. Two species, foxtail millet [ (L.) P. Beauv.] and its wild relative green foxtail [ (L.) P. Beauv.], are considered to be suitable models to study the genomics of other millets. Understanding the nutrient mobilization of millets is essential for improving nutrient use efficiency and biofortification in millets and other cereal crops. Millets are adapted for low-input agriculture, so understanding and improving the phosphate use efficiency of these plants is important because (i) subsistence farmers cannot afford to buy expensive phosphate fertilizers and (ii) the phosphate rock used for phosphate fertilizer production is depleting quickly. In this minireview, I discuss various studies on nutrient transport in millets and highlight phosphate transport studies. I report the identification and phylogenetic and multiple sequence analyses of 12 PHosphate Transporter1 (PHT1) family genes and proteins of green foxtail for the first time. With the exception of PHT1;5, all other green foxtail PHT1 transporters are closely clustered with foxtail millet PHT1 transporters. The multiple sequence analysis of SvPHT1s revealed that the key residues involved in phosphate and H-binding and transport are well conserved, as in other PHT1 transporters. Efforts need to be undertaken to understand and improve phosphate uptake and utilization in millets to strengthen food security in the developing world.

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Ceasar, S. A. (2019). Genome‐wide Identification and in silico Analysis of PHT1 Family Genes and Proteins in Setaria viridis : The Best Model to Study Nutrient Transport in Millets. The Plant Genome, 12(1). https://doi.org/10.3835/plantgenome2018.04.0019

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