Chromosome-level genome assemblies of Musa ornata and Musa velutina provide insights into pericarp dehiscence and anthocyanin biosynthesis in banana

Tian-Wen Xiao , Xin Liu , Ning Fu , Tong-Jian Liu , Zheng-Feng Wang , Xue-Jun Ge , Hui-Run Huang

Horticulture Research ›› 2024, Vol. 11 ›› Issue (5) : 079

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Horticulture Research ›› 2024, Vol. 11 ›› Issue (5) :079 DOI: 10.1093/hr/uhae079
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Chromosome-level genome assemblies of Musa ornata and Musa velutina provide insights into pericarp dehiscence and anthocyanin biosynthesis in banana
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Abstract

Musa ornata and Musa velutina are members of the Musaceae family and are indigenous to the South and Southeast Asia. They are very popular in the horticultural market, but the lack of genomic sequencing data and genetic studies has hampered efforts to improve their ornamental value. In this study, we generated the first chromosome-level genome assemblies for both species by utilizing Oxford Nanopore long reads and Hi-C reads. The genomes of M. ornata and M. velutina were assembled into 11 pseudochromosomes with genome sizes of 427.85 Mb and 478.10 Mb, respectively. Repetitive sequences comprised 46.70% and 50.91% of the total genomes for M. ornata and M. velutina, respectively. Differentially expressed gene (DEG) and Gene Ontology (GO) enrichment analyses indicated that upregulated genes in the mature pericarps of M. velutina were mainly associated with the saccharide metabolic processes, particularly at the cell wall and extracellular region. Furthermore, we identified polygalacturonase (PG) genes that exhibited higher expression level in mature pericarps of M. velutina compared to other tissues, potentially being accountable for pericarp dehiscence. This study also identified genes associated with anthocyanin biosynthesis pathway. Taken together, the chromosomal-level genome assemblies of M. ornata and M. velutina provide valuable insights into the mechanism of pericarp dehiscence and anthocyanin biosynthesis in banana, which will significantly contribute to future genetic and molecular breeding efforts.

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Tian-Wen Xiao, Xin Liu, Ning Fu, Tong-Jian Liu, Zheng-Feng Wang, Xue-Jun Ge, Hui-Run Huang. Chromosome-level genome assemblies of Musa ornata and Musa velutina provide insights into pericarp dehiscence and anthocyanin biosynthesis in banana. Horticulture Research, 2024, 11 (5) : 079 DOI:10.1093/hr/uhae079

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Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (No. 32070237, 31261140366). We thank Yu-Ying Zhou of South China Botany Garden CAS for her help in material freezing and Xiao-Xia Zhang from the Institute of Botany CAS for her suggestions on gene family analysis.

Author contributions

X.-J.G. and H.-R.H conceived the project. X.-J.G. and T.-W.X. collected the materials. T.-W.X., X.L., N.F., T.-J.L., and Z.-F.W. performed the analyses. T.-W.X. wrote the manuscript. X.-J.G., H.-R.H., and Z.-F.W. revised the manuscript. All authors approved the final manuscript.

Data availability

All the raw sequence data were deposited in the Genome Sequence Archive in the National Genomics Data Center (NGDC), China National Center for Bioinformation (CNCB) with the accession number of CRA013014 under BioProject PRJCA020485 (https://ngdc.cncb.ac.cn/). The genome assemblies reported in this study were deposited in the Genome Warehouse in NGDC, CNCB under the accession number GWHDVGC00000000 (M. ornata) and GWHDVGD00000000 (M. velutina). In addition, the genome assemblies, protein-coding sequences, as well as genome annotations were deposited in the Science Data Bank [115] and figshare [116].

Conflict of interest statement

The authors declare that they have no competing interests.

Supplementary data

Supplementary data is available at Horticulture Research online.

References

[1]

Burgos-Hernández M, Pozo C, González D. Evolutionary history of Musaceae: ancient distribution and the rise of modern lineages. Bot J Linn Soc. 2018; 189 :23-35

[2]

Heslop-Harrison JS, Schwarzacher T. Domestication, genomics and the future for banana. Ann Bot. 2007; 100 :1073-84

[3]

Sardos J, Breton C, Perrier X. et al. Hybridization, missing wild ancestors and the domestication of cultivated diploid bananas. Front Plant Sci. 2022; 13 :969220

[4]

Häkkinen M. Ornamental bananas: focus on Rhodochlamys. Chron Hortic. 2007; 47 :7-12

[5]

Joe A, Sabu M. Wild ornamental bananas in India: an overview. South Indian J Biol Sci. 2016; 2 :213-21

[6]

Krug AS B. M. Drummond E, van Tassel DL. et al. The next era of crop domestication starts now. Proc Natl Acad Sci USA. 2023; 120 :e2205769120

[7]

Gui S, Martinez-Rivas FJ, Wen W. et al. Going broad and deep: sequencing-driven insights into plant physiology, evolution, and crop domestication. Plant J. 2023; 113 :446-59

[8]

Sun M, Yao C, Shu Q. et al. Telomere-to-telomere pear ( Pyrus pyrifolia ) reference genome reveals segmental and whole genome duplication driving genome evolution. Hortic Res. 2023; 10 :uhad201

[9]

Li P, Bai G, He J. et al. Chromosome-level genome assembly of Amomum tsao-ko provides insights into the biosynthesis of flavor compounds. Hortic Res. 2022; 9 :uhac211

[10]

Wang X, Gao Y, Wu X. et al. High-quality evergreen azalea genome reveals tandem duplication-facilitated low-altitude adaptability and floral scent evolution. Plant Biotechnol J. 2021; 19 :2544-60

[11]

Liao X, Ye Y, Zhang X. et al. The genomic and bulked segregant analysis of Curcuma alismatifolia revealed its diverse bract pigmentation. aBIOTECH. 2022; 3 :178-96

[12]

Lan L, Zhao H, Xu S. et al. A high-quality Bougainvillea genome provides new insights into evolutionary history and pigment biosynthetic pathways in the Caryophyllales. Hortic Res. 2023; 10 :uhad124

[13]

He S, Weng D, Zhang Y. et al. A telomere-to-telomere reference genome provides genetic insight into the pentacyclic triterpenoid biosynthesis in Chaenomeles speciosa. Hortic Res. 2023; 10 :uhad183

[14]

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

[15]

Belser C, Baurens F-C, Noel B. et al. Telomere-to-telomere gapless chromosomes of banana using nanopore sequencing. Commun Biol. 2021; 4 :1047

[16]

Wang Z-F, Rouard M, Droc G. et al. Genome assembly of Musa beccarii shows extensive chromosomal rearrangements and genome expansion during evolution of Musaceae genomes. GigaScience. 2022; 12 :giad005

[17]

Huang H-R, Liu X, Arshad R. et al. Telomere-to-telomere haplotype-resolved reference genome reveals subgenome divergence and disease resistance in triploid Cavendish banana. Hortic Res. 2023; 10 :uhad153

[18]

Zhou R, Wang S, Zhan N. et al. High-quality reference genome assemblies for two Australimusa bananas provide insights into genetic diversity of the Musaceae family and regulatory mechanisms of superior fiber properties. Plant Commun. 2024; 5 :100681

[19]

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

[20]

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

[21]

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

[22]

Li X, Yu S, Cheng Z. et al. Origin and evolution of the triploid cultivated banana genome. Nat Genet. 2024; 56 :136-42

[23]

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

[24]

Sachter-Smith G. The Wild Bananas: A Catalogue of Wild Musa Species and Tribute to Markku Häkkinen. Rome, Italy: Bioversity International; 2023..

[25]

Shankar K, Haokip SW, Ramjan M. et al. Genetic diversity of fruits in North East region of India. J Pharmacogn Phytochem. 2020; 9 :207-9

[26]

Onstein RE, Kissling WD, Chatrou LW. et al. Which frugivory-related traits facilitated historical long-distance dispersal in the custard apple family (Annonaceae)? J Biogeogr. 2019; 46 :1874-88

[27]

Pansarin ER, Suetsugu K. Mammal-mediated seed dispersal in vanilla : its rewards and clues to the evolution of fleshy fruits in orchids. Ecology. 2022; 103 :e3701

[28]

Christiansen LC, Dal Degan F, Ulvskov P. et al. Examination of the dehiscence zone in soybean pods and isolation of a dehiscence-related endopolygalacturonase gene. Plant Cell Environ. 2002; 25 :479-90

[29]

Zamil MS, Geitmann A. The middle lamella—more than a glue. Phys Biol. 2017; 14 :015004

[30]

Abbott DW, Boraston AB. The structural basis for exopolygalacturonase activity in a family 28 glycoside hydrolase. J Mol Biol. 2007; 368 :1215-22

[31]

Li Q, Wu Z, Wu H. et al. Transcriptome profiling unravels a vital role of pectin and pectinase in anther dehiscence in Chrysanthemum. Int J Mol Sci. 2019; 20 :5865

[32]

Chen J, Duan Y, Hu Y. et al. Transcriptome analysis of atemoya pericarp elucidates the role of polysaccharide metabolism in fruit ripening and cracking after harvest. BMC Plant Biol. 2019; 19 :219

[33]

Kalaitzis P, Solomos T, Tucker ML. Three different polygalacturonases are expressed in tomato leaf and flower abscission, each with a different temporal expression pattern. Plant Physiol. 1997; 113 :1303-8

[34]

Taylor JE, Webb STJ, Coupe SA. et al. Changes in polygalacturonase activity and solubility of polyuronides during ethylene-stimulated leaf abscission in Sambucus nigra. J Exp Bot. 1993; 44 :93-8

[35]

Ogawa M, Kay P, Wilson S. et al. ARABIDOPSIS DEHISCENCE ZONE POLYGALACTURONASE1 (ADPG1), ADPG2, and QUARTET2 are polygalacturonases required for cell separation during reproductive development in Arabidopsis. Plant Cell. 2009; 21 :216-33

[36]

Heredia A, Jiménez A, Guillén R. Composition of plant cell walls. Z Lebensm Unters Forsch. 1995; 200 :24-31

[37]

Merelo P, Agusti J, Arbona V. et al. Cell wall remodeling in abscission zone cells during ethylene-promoted fruit abscission in Citrus. Front Plant Sci. 2017; 8 :126

[38]

Ploetz RC, Kepler AK, Daniells J. et al. Banana and plantain—an overview with emphasis on Pacific island cultivars. Species Profiles for Pacific Island Agroforestry. 2007; 1 :21-32

[39]

Landi M, Tattini M, Gould KS. Multiple functional roles of anthocyanins in plant-environment interactions. Environ Exp Bot. 2015; 119 :4-17

[40]

Winkel-Shirley B. Flavonoid biosynthesis. A colorful model for genetics, biochemistry, cell biology, and biotechnology. Plant Physiol. 2001; 126 :485-93

[41]

Mol J, Grotewold E, Koes R. How genes paint flowers and seeds. Trends Plant Sci. 1998; 3 :212-7

[42]

Deng S, Cheng C, Liu Z. et al. Comparative transcriptome analysis reveals a role for anthocyanin biosynthesis genes in the formation of purple peel in Minhou wild banana ( Musa itinerans Cheesman). J Hortic Sci Biotechnol. 2019; 94 :184-200

[43]

Fu X, Cheng S, Liao Y. et al. Comparative analysis of pigments in red and yellow banana fruit. Food Chem. 2018; 239 :1009-18

[44]

Eddy SR. Accelerated profile HMM searches. PLoS Comput Biol. 2011; 7 :e1002195

[45]

Wang Y, Fan Z, Zhai Y. et al. Polygalacturonase gene family analysis identifies FcPG12 as a key player in fig ( Ficus carica L.) fruit softening. BMC Plant Biol. 2023; 23 :320

[46]

Nakano T, Kato H, Shima Y. et al. Apple SVP family MADS-box proteins and the tomato pedicel abscission zone regulator JOINTLESS have similar molecular activities. Plant Cell Physiol. 2015; 56 :1097-106

[47]

Qi X, Dong Y, Liu C. et al. The PavNAC56 transcription factor positively regulates fruit ripening and softening in sweet cherry ( Prunus avium ). Physiol Plant. 2022; 174 :e13834

[48]

Wu M, Liu J, Song L. et al. Differences among the anthocyanin accumulation patterns and related gene expression levels in red pears. Plants (Basel). 2019; 8 :100

[49]

Pandey A, Alok A, Lakhwani D. et al. Genome-wide expression analysis and metabolite profiling elucidate transcriptional regulation of flavonoid biosynthesis and modulation under abiotic stresses in banana. Sci Rep. 2016; 6 :31361

[50]

Janssens SB, Vandelook F, De Langhe E. et al. Evolutionary dynamics and biogeography of Musaceae reveal a correlation between the diversification of the banana family and the geological and climatic history of Southeast Asia. New Phytol. 2016; 210 :1453-65

[51]

Manchester SR, Kress WJ.Fossil bananas (Musaceae): Ensete oregonense sp. nov. from the Eocene of western North America and its phytogeographic significance. Am J Bot. 1993; 80 :1264-72

[52]

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

[53]

Wang D, Zheng Z, Li Y. et al. Which factors contribute most to genome size variation within angiosperms? Ecol Evol. 2021; 11 :2660-8

[54]

McCue AD, Nuthikattu S, Slotkin RK. Genome-wide identification of genes regulated in trans by transposable element small interfering RNAs. RNA Biol. 2013; 10 :1379-95

[55]

Oliver KR, McComb JA, Greene WK. Transposable elements: powerful contributors to angiosperm evolution and diversity. Genome Biol Evol. 2013; 5 :1886-901

[56]

Devos KM, Brown JKM, Bennetzen JL. Genome size reduction through illegitimate recombination counteracts genome expansion in Arabidopsis. Genome Res. 2002; 12 :1075-9

[57]

Petersen M, Sander L, Child R. et al. Isolation and characterisation of a pod dehiscence zone-specific polygalacturonase from Brassica napus. Plant Mol Biol. 1996; 31 :517-27

[58]

Liu L, Wu Y, Liao Z. et al. Evolutionary conservation and functional divergence of the LFK gene family play important roles in the photoperiodic flowering pathway of land plants. Heredity. 2018; 120 :310-28

[59]

de Pascual-Teresa S, Sanchez-Ballesta MT. Anthocyanins: from plant to health. Phytochem Rev. 2008; 7 :281-99

[60]

Deng G-M, Zhang S, Yang Q-S. et al. MaMYB4 , an R2R3-MYB repressor transcription factor, negatively regulates the biosynthesis of anthocyanin in banana. Front Plant Sci. 2021; 11 :600704

[61]

Belton J-M, McCord RP, Gibcus JH. et al. Hi-C: a comprehensive technique to capture the conformation of genomes. Methods. 2012; 58 :268-76

[62]

Chen S, Zhou Y, Chen Y. et al. Fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018; 34 :i884-90

[63]

Wick RR, Judd LM, Gorrie CL. et al. Completing bacterial genome assemblies with multiplex MinION sequencing. Microb Genom. 2017; 3 :e000132

[64]

Marçais G, Kingsford C. A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics. 2011; 27 :764-70

[65]

Vurture GW, Sedlazeck FJ, Nattestad M. et al. GenomeScope: fast reference-free genome profiling from short reads. Bioinformatics. 2017; 33 :2202-4

[66]

Jiang H, Zhuo W, Zongyi S. et al. An efficient error correction and accurate assembly tool for noisy long reads. bioRxiv. 12 March, 2023. preprint: not peer reviewed

[67]

Roach MJ, Schmidt SA, Borneman AR. Purge Haplotigs: allelic contig reassignment for third-gen diploid genome assemblies. Bioinformatics. 2018; 19 :460

[68]

Vaser R, Sovic I, Nagarajan N. et al. Fast and accurate de novo genome assembly from long uncorrected reads. Genome Res. 2017; 27 :737-46

[69]

Aury J-M, Istace B. Hapo-G, haplotype-aware polishing of genome assemblies with accurate reads. NAR Genom Bioinform. 2021; 3 :lqab034

[70]

Durand NC, Shamim MS, Machol I. et al. Juicer provides a one-click system for analyzing loop-resolution hi-C experiments. Cell Syst. 2016; 3 :95-8

[71]

Dudchenko O, Batra SS, Omer AD. et al. De novo assembly of the Aedes aegypti genome using hi-C yields chromosome-length scaffolds. Science. 2017; 356 :92-5

[72]

Durand NC, Robinson JT, Shamim MS. et al. Juicebox provides a visualization system for hi-C contact maps with unlimited zoom. Cell Syst. 2016; 3 :99-101

[73]

Xu M, Guo L, Gu S. et al. TGS-GapCloser: a fast and accurate gap closer for large genomes with low coverage of error-prone long reads. GigaScience. 2020; 9 :giaa094

[74]

Lin Y, Ye C, Li X. et al. quarTeT: a telomere-to-telomere toolkit for gap-free genome assembly and centromeric repeat identification. Hortic Res. 2023; 10 :uhad127

[75]

Manni M, Berkeley MR, Seppey M. et al. BUSCO update: novel and streamlined workflows along with broader and deeper phylogenetic coverage for scoring of eukaryotic, prokaryotic, and viral genomes. Mol Biol Evol. 2021; 38 :4647-54

[76]

Li H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv. 2013; 00 :1-3

[77]

Kim D, Paggi JM, Park C. et al. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat Biotechnol. 2019; 37 :907-15

[78]

Barnett DW, Garrison EK, Quinlan AR. et al. BamTools: a C ++ API and toolkit for analyzing and managing BAM files. Bioinformatics. 2011; 27 :1691-2

[79]

Ou S, Chen J, Jiang N. Assessing genome assembly quality using the LTR Assembly Index (LAI). Nucleic Acids Res. 2018; 46 :e126-6

[80]

Wolff J, Rabbani L, Gilsbach R. et al. Galaxy HiCExplorer 3: a web server for reproducible Hi-C, capture Hi-C and single-cell Hi-C data analysis, quality control and visualization. Nucleic Acids Res. 2020; 48 :W177-84

[81]

Ou S, Su W, Liao Y. et al. Benchmarking transposable element annotation methods for creation of a streamlined, comprehensive pipeline. Genome Biol. 2019; 20 :275

[82]

Flynn JM, Hubley R, Goubert C. et al. RepeatModeler2 for automated genomic discovery of transposable element families. Proc Natl Acad Sci USA. 2020; 117 :9451-7

[83]

Tarailo-Graovac M, Chen N. Using RepeatMasker to identify repetitive elements in genomic sequences. Curr Protoc Bioinformatics. 2009; 25 :4.10.1-14

[84]

Palmer JM, Stajich J. Funannotate v1.8.15: eukaryotic genome annotation. Zenodo. 2020. https://zenodo.org/records/4054262

[85]

Lomsadze A, Ter-Hovhannisyan V, Chernoff YO. et al. Gene identification in novel eukaryotic genomes by self-training algorithm. Nucleic Acids Res. 2005; 33 :6494-506

[86]

Hoff KJ, Stanke M. Predicting genes in single genomes with AUGUSTUS. Curr Protoc Bioinformatics. 2019; 65 :e57

[87]

Korf I. Gene finding in novel genomes. Bioinformatics. 2004; 5 :59

[88]

Majoros WH, Pertea M, Salzberg SL. TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders. Bioinformatics. 2004; 20 :2878-9

[89]

Lowe TM, Eddy SR. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997; 25 :955-64

[90]

Droc G, Martin G, Guignon V. et al. The banana genome hub: a community database for genomics in the Musaceae. Hortic Res. 2022; 9 :uhac221

[91]

Jones P, Binns D, Chang H-Y. et al. InterProScan 5: genome-scale protein function classification. Bioinformatics. 2014; 30 :1236-40

[92]

Huerta-Cepas J, Forslund K, Coelho LP. et al. Fast genome-wide functional annotation through orthology assignment by eggNOG-mapper. Mol Biol Evol. 2017; 34 :2115-22

[93]

Emms DM, Kelly S. OrthoFinder: phylogenetic orthology inference for comparative genomics. Genome Biol. 2019; 20 :238

[94]

Smith SA, O’Meara BC. treePL: divergence time estimation using penalized likelihood for large phylogenies. Bioinformatics. 2012; 28 :2689-90

[95]

Friis EM. Spirematosphermum chandlerae sp. nov., an extinct species of Zingiberaceae from the north American cretaceous. Tertiary. Res. 1987; 9 :7-12

[96]

Mendes FK, Vanderpool D, Fulton B. et al. CAFE 5 models variation in evolutionary rates among gene families. Bioinformatics. 2021; 36 :5516-8

[97]

Wu T, Hu E, Xu S. et al. clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. Innovation. 2021; 2 :100141

[98]

Tang H, Bowers JE, Wang X. et al. Synteny and collinearity in plant genomes. Science. 2008; 320 :486-8

[99]

Almeida-Silva F, Van de Peer Y. Doubletrouble: identification and classification of duplicated genes. 2022. https://github.com/almeidasilvaf/doubletrouble.

[100]

Sun P, Jiao B, Yang Y. et al. WGDI: a user-friendly toolkit for evolutionary analyses of whole-genome duplications and ancestral karyotypes. Mol Plant. 2022; 15 :1841-51

[101]

Yang Z. PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol. 2007; 24 :1586-91

[102]

Li H, Durbin R. Inference of human population history from individual whole-genome sequences. Nature. 2011; 475 :493-6

[103]

Chen C, Chen H, Zhang Y. et al. TBtools: an integrative toolkit developed for interactive analyses of big biological data. Mol Plant. 2020; 13 :1194-202

[104]

Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014; 30 :923-30

[105]

Wang L, Feng Z, Wang X. et al. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics. 2010; 26 :136-8

[106]

Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013; 30 :772-80

[107]

Steenwyk JL, Buida TJ III, Li Y. et al. ClipKIT: a multiple sequence alignment trimming software for accurate phylogenomic inference. PLoS Biol. 2020; 18 :e3001007

[108]

Nguyen L-T, Schmidt HA, von Haeseler A. et al. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2014; 32 :268-74

[109]

Kalyaanamoorthy S, Minh BQ, Wong TKF. et al. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods. 2017; 14 :587-9

[110]

Sandelin A, Alkema W, Engström P. et al. JASPAR: an open-access database for eukaryotic transcription factor binding profiles. Nucleic Acids Res. 2004; 32 :91D-4

[111]

Qi X, Liu C, Song L. et al. PaMADS7 , a MADS-box transcription factor, regulates sweet cherry fruit ripening and softening. Plant Sci. 2020; 301 :110634

[112]

Camacho C, Coulouris G, Avagyan V. et al. BLAST + : architecture and applications. Bioinformatics. 2009; 10 :421

[113]

Ning T, Chen C, Yi G. et al. Changes in homogalacturonan metabolism in banana peel during fruit development and ripening. Int J Mol Sci. 2022; 23 :243

[114]

R Core Team. R: A language and environment for statistical computing. 2023. http://www.R-project.org/.

[115]

Xiao T-W, Wang Z-F, Ge X-J. Genome Assembly of Musa ornata and M. velutina. 2023

[116]

Xiao T-W, Wang Z-F, Ge X-J. Genome Sequences, Proteins, Cds, and Annotation Files of Musa ornata and Musa velutina. 2024

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