Phylogenetic Insights of Phytochrome A Homologs in Legumes
Soumyanetra Saha
Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat – 396450, India.
V. B. Rana *
Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat – 396450, India.
Kaushal Modha
Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat – 396450, India.
V. B. Patel
Forest Biotechnology laboratory, College of Forestry, Navsari Agricultural University, Navsari, Gujarat – 396450, India.
R. K. Patel
Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat – 396450, India.
D. A. Chauhan
Pulses and Castor Research Station (Mega Seed), Navsari Agricultural University, Navsari, Gujarat – 396450, India.
*Author to whom correspondence should be addressed.
Abstract
Phytochromes are the best characterized photoreceptors that perceive Red (R)/Far- Red (FR) signals and mediate key developmental responses in plants. It is well established that photoperiodic control of flowering is regulated by PHY A (phytochrome A) gene. So far, the members of PHY A gene family remains unexplored in Lablab purpureus and therefore, their functions are still not deciphered. Phytochrome A (PhyA) has involvement in adaptive responses under low-light and stress conditions. The present study is the first effort to identify any photoreceptor gene (PHYA) in Lablab purpureus and decipher its phylogeny with related legumes. In present study, the nucleotide sequence of Lablab purpureus Phytochrome A (LprPhyA) was used to identify homologous sequences within the Fabaceae family through BLASTn analysis. As well as for protein identify homologous sequences. Several Fabaceae PhyA homologs were aligned using the CLUSTAL W algorithm in MEGA 11. The Tamura 3-parameter model with Gamma distribution (T92+G) was identified as the best-fit nucleotide substitution model, based on the lowest BIC and AIC values. Phylogenetic reconstruction was performed using the Maximum Likelihood (ML) method reliability assessment using 1,000 bootstrap replicates. Phylogenetic analysis confirmed its close evolutionary relationship with other Fabaceae species. This phylogenetic insight underscores the evolutionary conservation and diversification of PhyA within legumes, providing a foundation for understanding its functional adaptation in different species and potential applications in crop improvement under varying photoperiodic conditions.
Keywords: Legume crops, environmental sustainability, genetic diversity, phylogenetic analysis