Genome-wide identification of fasciclin-like arabinogalactan proteins in jute and their expression pattern during fiber formation.
Md Sabbir HossainBorhan AhmedMd Wali UllahNasima AktarMd Samiul HaqueMd Shahidul IslamPublished in: Molecular biology reports (2020)
Fasciclin-like arabinogalactan proteins (FLAs), a class of arabinogalactan proteins (AGPs) are involved in plant growth and development via cell communication and adhesion. FLAs were also associated with fiber and wood formation in plants but no information is available about the roles of FLA proteins during fibre development of jute. Here, we performed molecular characterization, evolutionary relationship and expression profiling of FLAs proteins in jute (Corchorus olitorius). In total, nineteen CoFLA genes have been identified in jute genome, which were divided into four classes like FLAs of other species based on protein structure and similarity. All CoFLAs have N-terminal signal peptide and one or two FAS domain while two FLAs lack well defined AGP region and eight FLAs were devoid of C-terminal glycosylphosphatidylinositol (GPI) anchor. Expression analysis of different regions of jute stem suggested their involvement in different fiber development stages. Four genes CoFLA 11, 12, 20, and 23 were highly or predominately expressed in fiber containing bark tissues while the expression levels of six CoFLA genes 02, 03, 04, 06, 14 and 19 were comparatively higher in stick. Higher transcripts levels of CoFLA 12 and 20 in the middle bark tissues suggest their involvement in fiber elongation. In contrast, the CoFLA 11 and 23 were more expressed in bottom bark tissues suggesting their potential involvement in secondary cell wall synthesis. Our study can serve as solid foundation for further functional exploration of FLAs and in future breeding program of jute aiming fiber improvement.
Keyphrases
- genome wide identification
- genome wide
- poor prognosis
- gene expression
- cell wall
- transcription factor
- binding protein
- escherichia coli
- healthcare
- risk assessment
- dna methylation
- computed tomography
- magnetic resonance
- single cell
- bone marrow
- mesenchymal stem cells
- small molecule
- staphylococcus aureus
- human health
- long non coding rna
- amino acid
- protein protein
- biofilm formation
- genome wide analysis
- quality improvement
- genetic diversity