Journal Article

FEAtl: a comprehensive web-based expression atlas for functional genomics in tropical and subtropical fruit crops

Kumari, Naina, Roy, Anupama, Chaurasia, Himanshushekhar, Kumar, Baibhav, Srivastava, Manish, Kumar, Dinesh, Jaiswal, Sarika, Angadi, Ulavappa B., Iquebal, Mir Asif

2024

Overview

Background Fruit crops, including tropical and subtropical fruits like Avocado ( Persea americana ), Fig ( Ficus carica ), Date Palm ( Phoenix dactylifera ), Mango ( Mangifera indica ), Guava ( Psidium guajava ), Papaya ( Carica papaya ), Pineapple ( Ananas comosus ), and Banana ( Musa acuminata ) are economically vital, contributing significantly to global agricultural output, as classified by the FAO’s World Programme for the Census of Agriculture. Advancements in next-generation sequencing, have transformed fruit crop breeding by providing in-depth genomic and transcriptomic data. RNA sequencing enables high-throughput analysis of gene expression, and functional genomics, crucial for addressing horticultural challenges and enhancing fruit production. The genomic and expression data for key tropical and sub-tropical fruit crops is currently lacking a comprehensive expression atlas, revealing a significant gap in resources for horticulturists who require a unified platform with diverse datasets across various conditions and cultivars. Results The Fruit Expression Atlas (FEAtl), available at http://backlin.cabgrid.res.in/FEAtl/ , is a first-ever extensive and unified expression atlas for tropical and subtropical fruit crops developed using 3-tier architecture. The expressivity of coding and non-coding genes, encompassing 2,060 RNA-Seq samples across 91 tissue types and 177 BioProjects, it provides a comprehensive view of gene expression patterns for different tissues under various conditions. FEAtl features multiple tabs that cater to different aspects of the dataset, namely, Home , About , Analyze , Statistics , and Team and contains seven central functional modules: Transcript Information , Sample Information , Expression Profiles in FPKM and TPM , Functional Analysis , Genes Based on Tau Score , and Search for Specific Gene . The expression of a transcript of interest can be easily queried by searching by tissue ID and transcript type. Expression data can be displayed as a heat map, along with functional descriptions as well as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Conclusions This atlas represents a groundbreaking compilation of a wide array of information pertaining to eight distinct fruit crops and serves as a fundamental resource for comparative analysis among different fruit species and is a catalyst for functional genomic studies. Database availability: http://backlin.cabgrid.res.in/FEAtl/ .

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Agricultural industry / Agricultural production / Agriculture / Analysis / Ananas comosus / Availability / avocados / bananas / Biomedical and Life Sciences / Carica - genetics / Carica papaya / catalysts / Census of Agriculture / Chronic illnesses / Comparative analysis / Crop diseases / Crop production / Crops / Crops, Agricultural - genetics / Cultivars / Data analysis / data collection / Databases, Genetic / Datasets / Expression atlas / Ficus carica / Food / Food quality / Fruit / Fruit - genetics / Fruit crops / Fruits / Functional analysis / Gene expression / Gene Expression Regulation, Plant / gene ontology / Gene sequencing / Genes / Genetic aspects / Genomes / Genomic analysis / Genomics / Genomics - methods / Geospatial data / Graphical representations / guavas / heat / Horticultural challenges / Horticulture / Internet / Life Sciences / Mangifera indica / Musa - genetics / Musa acuminata / Next-generation sequencing / Nutrition research / Omics technologies and applications in horticultural crops / Papayas / Persea - genetics / Persea americana / Phoenix dactylifera / pineapples / Plant breeding / Plant Sciences / Protein synthesis / Proteins / Psidium guajava / Ribonucleic acid / RNA / RNA sequencing / Scientific visualization / sequence analysis / species / Statistical analysis / statistics / Transcriptome / Transcriptomics / Tree Biology / Tropical fruit / Vegetables