Genome‐wide identification studies – A primer to explore new genes in plant species
| Autor: | S Tang, Imran Safder, P Hu, Z Sheng, G Shao |
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| Rok vydání: | 2021 |
| Předmět: |
Future studies
Gene Expression Profiling Plant Science General Medicine Computational biology Biology Genome Gene Expression Regulation Plant Multigene Family Putative gene Plant species Gene family Identification (biology) Primer (molecular biology) Gene Genome Plant Phylogeny Ecology Evolution Behavior and Systematics Plant Proteins |
| Zdroj: | Plant Biology. 24:9-22 |
| ISSN: | 1438-8677 1435-8603 |
| DOI: | 10.1111/plb.13340 |
| Popis: | Genome data have accumulated rapidly in recent years, doubling roughly after every 6 months due to the influx of next-generation sequencing technologies. A plethora of plant genomes are available in comprehensive public databases. This easy access to data provides an opportunity to explore genome datasets and recruit new genes in various plant species not possible a decade ago. In the past few years, many gene families have been published using these public datasets. These genome-wide studies identify and characterize gene members, gene structures, evolutionary relationships, expression patterns, protein interactions and gene ontologies, and predict putative gene functions using various computational tools. Such studies provide meaningful information and an initial framework for further functional elucidation. This review provides a concise layout of approaches used in these gene family studies and demonstrates an outline for employing various plant genome datasets in future studies. |
| Databáze: | OpenAIRE |
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