The banana genome hub: a community database for genomics in the Musaceae

Gaëtan Droc , Guillaume Martin , Valentin Guignon , Marilyne Summo , Guilhem Sempéré , Eloi Durant , Alexandre Soriano , Franc-Christophe Baurens , Alberto Cenci , Catherine Breton , Trushar Shah , Jean-Marc Aury , Xue-Jun Ge , Pat Heslop Harrison , Nabila Yahiaoui , Angélique D’Hont , Mathieu Rouard

Horticulture Research ›› 2022, Vol. 9 ›› Issue (1) : uhac221

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Horticulture Research ›› 2022, Vol. 9 ›› Issue (1) :uhac221 DOI: 10.1093/hr/uhac221
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The banana genome hub: a community database for genomics in the Musaceae
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Abstract

The Banana Genome Hub provides centralized access for genome assemblies, annotations, and the extensive related omics resources available for bananas and banana relatives. A series of tools and unique interfaces are implemented to harness the potential of genomics in bananas, leveraging the power of comparative analysis, while recognizing the differences between datasets. Besides effective genomic tools like BLAST and the JBrowse genome browser, additional interfaces enable advanced gene search and gene family analyses including multiple alignments and phylogenies. A synteny viewer enables the comparison of genome structures between chromosome-scale assemblies. Interfaces for differential expression analyses, metabolic pathways and GO enrichment were also added. A catalogue of variants spanning the banana diversity is made available for exploration, filtering, and export to a wide variety of software. Furthermore, we implemented new ways to graphically explore gene presence-absence in pangenomes as well as genome ancestry mosaics for cultivated bananas. Besides, to guide the community in future sequencing efforts, we provide recommendations for nomenclature of locus tags and a curated list of public genomic resources (assemblies, resequencing, high density genotyping) and upcoming resources-planned, ongoing or not yet public. The Banana Genome Hub aims at supporting the banana scientific community for basic, translational, and applied research and can be accessed at https://banana-genome-hub.southgreen.fr.

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Gaëtan Droc, Guillaume Martin, Valentin Guignon, Marilyne Summo, Guilhem Sempéré, Eloi Durant, Alexandre Soriano, Franc-Christophe Baurens, Alberto Cenci, Catherine Breton, Trushar Shah, Jean-Marc Aury, Xue-Jun Ge, Pat Heslop Harrison, Nabila Yahiaoui, Angélique D’Hont, Mathieu Rouard. The banana genome hub: a community database for genomics in the Musaceae. Horticulture Research, 2022, 9 (1) : uhac221 DOI:10.1093/hr/uhac221

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References

[1]

Rouard M, Sardos J, Sempéré G et al. A digital catalog of high-density markers for banana germplasm collections. PLANTS, PEOPLE, PLANET. 2022; 4: 61-7.

[2]

Borrell JS, Goodwin M, Blomme G et al. Enset-based agricultural systems in Ethiopia: a systematic review of production trends, agronomy, processing and the wider food security applications of a neglected banana relative. PLANTS, PEOPLE, PLANET. 2020; 2: 212-28.

[3]

de Langhe E, Laliberte B, Chase R et al. The 2016 Global Strategy for the conservation and use of Musa genetic resources-key strategic elements. Acta Horticulturae. 2018; 1196: 71-78.

[4]

Ortiz R, Swennen R . From crossbreeding to biotechnology-facilitated improvement of banana and plantain. Biotechnol Adv. 2014; 32: 158-69.

[5]

Borrell JS, Biswas MK, Goodwin M et al. Enset in Ethiopia: a poorly characterized but resilient starch staple. Ann Bot. 2019; 123: 747-66.

[6]

Chen F, Song Y, Li X et al. Genome sequences of horticultural plants: past, present, and future. Horticulture Research. 2019; 6: 112.

[7]

D’Hont A, Denoeud F, Aury JM et al. The banana (Musa acuminata) genome and the evolution of monocotyledonous plants . Nature. 2012; 488: 213-7.

[8]

Droc G, Lariviere D, Guignon V et al. The Banana genome hub. Database. 2013; 2013: bat035-5.

[9]

Martin G, Baurens FC, Droc G et al. Improvement of the banana “ Musa acuminata” reference sequence using NGS data and semi-automated bioinformatics methods . BMC Genomics. 2016; 17: 243.

[10]

Belser C, Baurens FC, Noel B et al. Telomere-to-telomere gapless chromosomes of banana using nanopore sequencing. Commun Biol. 2021; 4: 1-12.

[11]

Davey MW, Gudimella R, Harikrishna JA et al. A draft Musa balbisiana genome sequence for molecular genetics in polyploid, inter- and intra-specific Musa hybrids . BMC Genomics. 2013; 14: 683.

[12]

Wang Z, Miao H, Liu J et al. Musa balbisiana genome reveals subgenome evolution and functional divergence . Nature Plants. 2019; 5: 810-21.

[13]

Wu W, Yang YL, He WM et al. Whole genome sequencing of a banana wild relative Musa itinerans provides insights into lineage-specific diversification of the Musa genus . Sci Rep. 2016; 6: 31586.

[14]

Harrison J, Moore KA, Paszkiewicz K et al. A draft genome sequence for Ensete ventricosum, the drought-tolerant “tree against hunger.”. Agronomy. 2014; 4: 13-33.

[15]

Galvez LC, Koh RBL, Barbosa CFC et al. Sequencing and de novo assembly of abaca (Musa textilis Née) var. Abuab genome . Genes (Basel). 2021; 12: 1202.

[16]

Rouard M, Droc G, Martin G et al. Three new genome assemblies support a rapid radiation in Musa acuminata (wild Banana) . Genome Biology and Evolution. 2018; 10: 3129-40.

[17]

Rijzaani H, Bayer PE, Rouard M et al. The pangenome of banana highlights differences between genera and genomes. The Plant Genome. 2022 n/a; 15: e20100.

[18]

Belser C, Istace B, Denis E et al. Chromosome-scale assemblies of plant genomes using nanopore long reads and optical maps. Nature Plants. 2018; 4: 879-87.

[19]

Wang Z, Rouard M, Biswas MK et al. A chromosome-level reference genome of Ensete glaucum gives insight into diversity and chromosomal and repetitive sequence evolution in the Musaceae. GigaScience. 2022; 11: giac027.

[20]

Christelová P, Langhe ED, Hřibová E et al. Molecular and cytological characterization of the global Musa germplasm collection provides insights into the treasure of banana diversity. Biodivers Conserv. 2017; 26: 801-24.

[21]

Wendel JF, Jackson SA, Meyers BC et al. Evolution of plant genome architecture. Genome Biol. 2016; 17: 37.

[22]

Garsmeur O, Schnable JC, Almeida A et al. Two evolutionarily distinct classes of Paleopolyploidy. Mol Biol Evol. 2014; 31: 448-54.

[23]

Sass C, Iles WJD, Barrett CF et al. Revisiting the Zingiberales: using multiplexed exon capture to resolve ancient and recent phylogenetic splits in a charismatic plant lineage. PeerJ. 2016; 4: e1584.

[24]

Martin G, Carreel F, Coriton O et al. Evolution of the banana genome (Musa acuminata) is impacted by large chromosomal translocations . Mol Biol Evol. 2017; 34: 2140-52.

[25]

Cenci A, Guignon V, Roux N et al. Genomic analysis of NAC transcription factors in banana (Musa acuminata) and definition of NAC orthologous groups for monocots and dicots . Plant Mol Biol. 2014; 85: 63-80.

[26]

Hu W, Zuo J, Hou X et al. The auxin response factor gene family in banana: genome-wide identification and expression analyses during development, ripening, and abiotic stress. Front Plant Sci. 2015; 6: 742.

[27]

Backiyarani S, Anuradha C, Thangavelu R et al. Genome-wide identification, characterization of expansin gene family of banana and their expression pattern under various stresses. Biotech. 2022; 12: 101.

[28]

Miao H, Sun P, Liu Q et al. Molecular identification of the key starch branching enzyme-encoding gene SBE2.3 and its interacting transcription factors in banana fruits. Hortic Res. 2020; 7: 1-15.

[29]

Zhang L, Cenci A, Rouard M et al. Transcriptomic analysis of resistant and susceptible banana corms in response to infection by Fusarium oxysporum f. sp. cubense tropical race 4 . Sci Rep. 2019; 9: 8199.

[30]

Wesemael J, Hueber Y, Kissel E et al. Homeolog expression analysis in an allotriploid non-model crop via integration of transcriptomics and proteomics. Sci Rep. 2018; 8: 1353.

[31]

Sardos J, Rouard M, Hueber Y et al. A genome-wide association study on the seedless phenotype in Banana (Musa spp.) reveals the potential of a selected panel to detect candidate genes in a Vegetatively propagated crop . PLoS One. 2016; 11: e0154448.

[32]

Nyine M, Uwimana B, Swennen R et al. Trait variation and genetic diversity in a banana genomic selection training population. PLoS One. 2017; 12: e0178734.

[33]

Nyine M, Uwimana B, Akech V et al. Association genetics of bunch weight and its component traits in east African highland banana (Musa spp. AAA group) . Theor Appl Genet. 2019; 132: 3295-308.

[34]

Naim F, Dugdale B, Kleidon J et al. Gene editing the phytoene desaturase alleles of Cavendish banana using CRISPR/Cas9. Transgenic Res. 2018; 27: 451-60.

[35]

Ficklin SP, Sanderson LA, Cheng CH et al. Tripal: a construction toolkit for online genome databases. Database (Oxford). 2011; 2011.

[36]

Sanderson LA, Ficklin SP, Cheng CH et al. Tripal v1.1: a standards-based toolkit for construction of online genetic and genomic databases. Database. 2013; 2013: bat075- bat075.

[37]

Staton M, Cannon E, Sanderson LA et al. Tripal, a community update after 10 years of supporting open source, standards-based genetic, genomic and breeding databases. Brief Bioinform. 2021; 22.

[38]

Jung S, Cheng CH, Buble K et al. Tripal MegaSearch: a tool for interactive and customizable query and download of big data. Database. 2021; 2021: baab023.

[39]

Priyam A, Woodcroft BJ, Rai V et al. Sequenceserver: a modern graphical user Interface for custom BLAST databases. Mol Biol Evol. 2019; 36: 2922-4.

[40]

Shumate A, Salzberg SL . Liftoff: accurate mapping of gene annotations. Bioinformatics. 2021; 37: 1639-43.

[41]

Yachdav G, Wilzbach S, Rauscher B et al. MSAViewer: interactive JavaScript visualization of multiple sequence alignments. Bioinformatics. 2016; 32: 3501-3.

[42]

Shank SD, Weaver S, Kosakovsky Pond SL . Phylotree.Js - a JavaScript library for application development and interactive data visualization in phylogenetics. BMC Bioinformatics. 2018; 19: 276.

[43]

Zorrilla-Fontanesi Y, Rouard M, Cenci A et al. Differential root transcriptomics in a polyploid non-model crop: the importance of respiration during osmotic stress. Sci Rep. 2016; 6: 22583.

[44]

Cenci A, Hueber Y, Zorrilla-Fontanesi Y et al. Effect of paleopolyploidy and allopolyploidy on gene expression in banana. BMC Genomics. 2019; 20: 244.

[45]

Dale J, James A, Paul JY et al. Transgenic Cavendish bananas with resistance to Fusarium wilt tropical race 4. Nat Commun. 2017; 8: 1496.

[46]

Cassan O, Lèbre S, Martin A . Inferring and analyzing gene regulatory networks from multi-factorial expression data: a complete and interactive suite. BMC Genomics. 2021; 22: 387.

[47]

Drapal M, Carvalho EB, Rouard M et al. Metabolite profiling characterises chemotypes of Musa diploids and triploids at juvenile and pre-flowering growth stages. Sci Rep. 2019; 9: 4657.

[48]

Drapal M, Amah D, Schöny H et al. Assessment of metabolic variability and diversity present in leaf, peel and pulp tissue of diploid and triploid Musa spp. Phytochemistry. 2020; 176: 112388.

[49]

Price EJ, Drapal M, Perez-Fons L et al. Metabolite database for root, tuber, and banana crops to facilitate modern breeding in understudied crops. Plant J. 2020; 101: 1258-68.

[50]

Du L, Song J, Forney C et al. Proteome changes in banana fruit peel tissue in response to ethylene and high-temperature treatments. Horticulture Research. 2016; 3: 16012.

[51]

Karp PD, Midford PE, Billington R et al. Pathway tools version 23.0 update: software for pathway/genome informatics and systems biology. Brief Bioinform. 2021; 22: 109-26.

[52]

Paul JY, Khanna H, Kleidon J et al. Golden bananas in the field: elevated fruit pro-vitamin a from the expression of a single banana transgene. Plant Biotechnol J. 2017; 15: 520-32.

[53]

Amah D, van Biljon A, Brown A et al. Recent advances in banana (musa spp.) biofortification to alleviate vitamin a deficiency . Crit Rev Food Sci Nutr. 2019; 59: 3498-510.

[54]

Kozicka M, Elsey J, Ekesa B et al. Reassessing the cost-effectiveness of high-Provitamin a bananas to reduce vitamin a deficiency in Uganda. Front Sustain Food Syst. 2021; 5.

[55]

Sempéré G, Pétel A, Rouard M et al. Gigwa v2-extended and improved genotype investigator. Gigascience. 2019; 8.

[56]

Sempéré G, Larmande P, Rouard M . Managing High-Density Genotyping Data with Gigwa. In: Edwards D, ed. Plant Bioinformatics: Methods and Protocols.Springer US: New York, NY, 2022, 415-27.

[57]

Sardos J, Breton C, Perrier X et al. Hybridization, missing wild ancestors and the domestication of cultivated diploid bananas. Frontiers in Plant Science 2022; 13.

[58]

Baurens FC, Martin G, Hervouet C et al. Recombination and large structural variations shape interspecific edible bananas genomes. Mol Biol Evol. 2019; 36: 97-111.

[59]

Cenci A, Sardos J, Hueber Y et al. Unravelling the complex story of intergenomic recombination in ABB allotriploid bananas. Ann Bot. 2021; 127: 7-20.

[60]

Ruas M, Guignon V, Sempere G et al. MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data . Database (Oxford). 2017; 2017.

[61]

Van den houwe I, Chase R, Sardos J et al. Safeguarding and using global banana diversity: a holistic approach. CABI Agriculture and Bioscience. 2020; 1: 15.

[62]

Selby P, Abbeloos R, Backlund JE et al. BrAPI-an application programming interface for plant breeding applications. Bioinformatics. 2019; 35: 4147-55.

[63]

Yang X, Lee WP, Ye K et al. One reference genome is not enough. Genome Biol. 2019; 20: 104.

[64]

Khan AW, Garg V, Roorkiwal M et al. Super-Pangenome by integrating the wild side of a species for accelerated crop improvement. Trends Plant Sci. 2020; 25: 148-58.

[65]

Durant É, Sabot F, Conte M et al. Panache: a web browser-based viewer for linearized pangenomes. Bioinformatics. 2021; 37: 4556-8.

[66]

Martin G, Cardi C, Sarah G et al. Genome ancestry mosaics reveal multiple and cryptic contributors to cultivated banana. Plant J. 2020; 102: 1008-25.

[67]

Summo M, Comte A, Martin G et al. GeMo: a web-based platform for the visualization and curation of genome ancestry mosaics. Database. 2022; 2022: baac057.

[68]

Fu N, Ji M, Rouard M et al. Comparative plastome analysis of Musaceae and new insights into phylogenetic relationships. BMC Genomics. 2022; 23: 223.

[69]

Wang Z, Rouard M, Biswas MK et al. A chromosome-level reference genome of Ensete glaucum gives insight into diversity, chromosomal and repetitive sequence evolution in the Musaceae. GigaScience. 2022; 11: giac027.

[70]

Bandi V, Gutwin C . Interactive Exploration of Genomic Conservation. In: 46th Graphics Interface Conference on Proceedings of Graphics Interface 2020 (GI’20).Canadian Human-Computer Communications Society: Waterloo, Canada, 2020.

[71]

Martin G, Baurens FC, Cardi C et al. The complete chloroplast genome of Banana (Musa acuminata, Zingiberales): insight into plastid monocotyledon evolution . PLoS One. 2013; 8: e67350.

[72]

Li W, Liu Y, Gao LZ . The complete chloroplast genome of the endangered wild Musa itinerans (Zingiberales: Musaceae) . Conservation Genet Resour. 2017; 9: 667-9.

[73]

Shetty SM, Shah MUM, Makale K et al. Complete chloroplast genome sequence of Musa balbisiana Corroborates structural heterogeneity of inverted repeats in wild progenitors of cultivated bananas and plantains. The Plant Genome. 2016; 9: plantgenome2015.09.0089.

[74]

Song W, Ji C, Chen Z et al. Comparative analysis the complete chloroplast genomes of nine Musa species: genomic features, comparative analysis, and phylogenetic implications. Front Plant Sci. 2022; 13.

[75]

Wu CS, Sudianto E, Chiu HL et al. Reassessing Banana phylogeny and organelle inheritance modes using genome skimming data. Front Plant Sci. 2021; 12: 713216.

[76]

Zdobnov EM, Apweiler R . InterProScan - an integration platform for the signature-recognition methods in InterPro. Bioinformatics. 2001; 17: 847-8.

[77]

Magrane M, Consortium U . UniProt knowledgebase: a hub of integrated protein data. Database (Oxford). 2011; 2011.

[78]

Yemataw Z, Muzemil S, Ambachew D et al. Genome sequence data from 17 accessions of Ensete ventricosum, a staple food crop for millions in Ethiopia. Data in Brief. 2018; 18: 285-93.

[79]

Busche M, Pucker B, Viehöver P et al. Genome sequencing of Musa acuminata Dwarf Cavendish reveals a duplication of a large segment of chromosome 2. Genetics. 2020; 10: 37-42.

[80]

Li Z, Wang J, Fu Y et al. The Musa troglodytarum L genome provides insights into the mechanism of non-climacteric behaviour and enrichment of carotenoids. BMC Biol. 2022; 20: 186.

[81]

Sambles C, Venkatesan L, Shittu OM et al. Genome sequencing data for wild and cultivated bananas, plantains and abacá. Data in Brief. 2020; 33: 106341.

[82]

Dobin A, Davis CA, Schlesinger F et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013; 29: 15-21.

[83]

Claudel-Renard C, Chevalet C, Faraut T et al. Enzyme-specific profiles for genome annotation: PRIAM. Nucleic Acids Res. 2003; 31: 6633-9.

[84]

Kanehisa M, Sato Y, Morishima K . BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and Metagenome sequences. J Mol Biol. 2016; 428: 726-31.

[85]

Wang Y, Tang H, DeBarry JD et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012; 40: e49.

[86]

Emms DM, Kelly S . OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy. Genome Biol. 2015; 16: 157.

[87]

Guignon V, Toure A, Droc G et al. GreenPhylDB v5: a comparative pangenomic database for plant genomes. Nucleic Acids Res. 2021; 49: D1464-71.

[88]

Leinonen R, Sugawara H, Shumway M et al. The sequence read archive. Nucleic Acids Res. 2011; 39: D19-21.

[89]

Jung S, Ficklin SP, Lee T et al. The genome database for Rosaceae (GDR): year 10 update. Nucleic Acids Res. 2014; 42: D1237-44.

[90]

Guo W, Chen J, Li J et al. Portal of Juglandaceae: a comprehensive platform for Juglandaceae study. Hortic Res. 2020; 7: 1-8.

[91]

Buels R, Yao E, Diesh CM et al. JBrowse: a dynamic web platform for genome visualization and analysis. Genome Biol. 2016; 17: 66.

[92]

Tripathi JN, Ntui VO, Shah T et al. CRISPR/Cas9-mediated editing of DMR6 orthologue in banana (Musa spp.) confers enhanced resistance to bacterial disease . Plant Biotechnol J. 2021; 19: 1291-3.

[93]

Morales N, Ogbonna AC, Ellerbrock BJ et al. Breedbase: a digital ecosystem for modern plant breeding. G3 Genes|Genomes|Genetics. 2022; 12: jkac078.

[94]

Wilkinson MD, Dumontier M, Aalbersberg IJ et al. The FAIR guiding principles for scientific data management and stewardship. Scientific Data. 2016; 3: 160018.

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