the following content is metadata for a bacteria genome sequencing data in json format, you need to extract information from it and output in format below:

    1. accession: xxxx,
    2. species name: xxxx,
    3, strain name: xxxx,
    4. isolate or collection date in yyyy-mm-dd format: xxxx,
    5. geographic information of islateion: xxxx ,
    6. host name: xxxx
    7. mlsty type: xxxx
    8. serotype: xxxx,

xxxx is corresponding information. 

Don't add any comments or explaining to output. If the appropriate information is not available, use "the N/A" substitution; if the date has month or day, just print available information; if the host name is not available but this bacteria is a vaccine, then use "vaccine" as the host name'
#'if geographic information of islateion not avaiable, you can try to guess from submitter
----------------
{'accession': 'GCA_902772725.1', 'assembly_info': {'assembly_level': 'Contig', 'assembly_name': 'Rumen uncultured genome RUG11795', 'assembly_status': 'current', 'assembly_type': 'haploid', 'atypical': {'is_atypical': True, 'warnings': ['genome length too large', 'unverified source organism']}, 'bioproject_accession': 'PRJEB31266', 'bioproject_lineage': [{'bioprojects': [{'accession': 'PRJEB31266', 'title': 'Metagenomic sequencing of the rumen of 240 cattle from Scotland'}]}], 'biosample': {'accession': 'SAMEA6149930', 'attributes': [{'name': 'ENA-CHECKLIST', 'value': 'ERC000047'}, {'name': 'ENA-FIRST-PUBLIC', 'value': '2019-11-13T17:04:45Z'}, {'name': 'ENA-LAST-UPDATE', 'value': '2019-11-01T20:34:24Z'}, {'name': 'External Id', 'value': 'SAMEA6149930'}, {'name': 'INSDC center name', 'value': 'THE ROSLIN INSTITUTE'}, {'name': 'INSDC first public', 'value': '2019-11-13T17:04:45Z'}, {'name': 'INSDC last update', 'value': '2019-11-01T20:34:24Z'}, {'name': 'INSDC status', 'value': 'public'}, {'name': 'Submitter Id', 'value': 'RUG11795'}, {'name': 'assembly quality', 'value': 'Multiple fragments where gaps span repetitive regions. Presence of the 23S, 16S, and 5S rRNA genes and at least 18 tRNAs'}, {'name': 'assembly software', 'value': 'MEGAHIT; v1.1.1; --kmin-1pass, -m 60e+10, --k-list 27,37,47,57,67,77,87, --min-contig-len 1000, -t 16'}, {'name': 'binning parameters', 'value': 'tetra-nucleotide frequencies and abundance'}, {'name': 'binning software', 'value': 'MetaBAT2'}, {'name': 'collection_date', 'value': 'not collected'}, {'name': 'completeness score', 'value': '85.28'}, {'name': 'completeness software', 'value': 'CheckM'}, {'name': 'contamination score', 'value': '4.14'}, {'name': 'env_broad_scale', 'value': 'Bos taurus'}, {'name': 'env_local_scale', 'value': 'stomach'}, {'name': 'env_medium', 'value': 'bodily fluid'}, {'name': 'geo_loc_name', 'value': 'United Kingdom'}, {'name': 'geographic location (latitude)', 'value': '55.861398'}, {'name': 'geographic location (longitude)', 'value': '-3.206493'}, {'name': 'investigation_type', 'value': 'metagenome'}, {'name': 'isolation_source', 'value': 'cattle rumen'}, {'name': 'metagenomic source', 'value': 'bovine gut metagenome'}, {'name': 'project_name', 'value': 'Metagenomic sequencing of the rumen of 240 cattle from Scotland'}, {'name': 'ref_biomaterial', 'value': 'Stewart RD, Auffret MD, Warr A, Walker AW, Roehe R, Watson M. Compendium of 4,941 rumen metagenome-assembled genomes for rumen microbiome biology and enzyme discovery. (2019) Nat Biotechnol. 37(8):953-961. doi: 10.1038/s41587-019-0202-3.'}, {'name': 'sample derived from', 'value': 'ERS3611631'}, {'name': 'sample_name', 'value': 'RUG11795'}, {'name': 'scientific_name', 'value': 'Erysipelothrix rhusiopathiae'}, {'name': 'sequencing method', 'value': 'Illumina HiSeq 4000'}, {'name': 'taxonomic identity marker', 'value': 'multi-marker approach - MAGpy - Stewart RD, Auffret MD, Snelling TJ, Roehe R, Watson M. (2019) MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs). Bioinformatics. 35(12):2150-2152. doi: 10.1093/bioinformatics/bty905'}], 'description': {'comment': 'Cattle rumen microbiome RUG RUG11795 Erysipelothrix rhusiopathiae', 'organism': {'organism_name': 'Erysipelothrix rhusiopathiae', 'tax_id': 1648}, 'title': 'Rumen Uncultured Genome RUG11795'}, 'last_updated': '2024-02-06T19:50:55.000', 'models': ['Generic'], 'owner': {'name': 'EBI'}, 'package': 'Generic.1.0', 'publication_date': '2019-11-13T00:00:00.000', 'sample_ids': [{'db': 'SRA', 'value': 'ERS3949968'}], 'status': {'status': 'live', 'when': '2019-11-23T14:08:14.077'}, 'submission_date': '2019-11-17T09:16:11.146'}, 'genome_notes': ['derived from metagenome', 'genome length too large', 'unverified source organism'], 'release_date': '2020-02-17', 'submitter': 'THE ROSLIN INSTITUTE'}, 'assembly_stats': {'contig_l50': 79, 'contig_n50': 10294, 'gc_count': '1133087', 'gc_percent': 39, 'genome_coverage': '30.0x', 'number_of_component_sequences': 404, 'number_of_contigs': 404, 'total_sequence_length': '2904445', 'total_ungapped_length': '2904445'}, 'average_nucleotide_identity': {'best_ani_match': {'ani': 83.92, 'assembly': 'GCA_014306155.1', 'assembly_coverage': 0.12, 'category': 'type', 'organism_name': 'Holdemanella hominis', 'type_assembly_coverage': 0.14}, 'category': 'category_na', 'comment': 'na', 'match_status': 'low_coverage', 'submitted_ani_match': {'assembly': 'GCA_900637845.1', 'category': 'type', 'organism_name': 'Erysipelothrix rhusiopathiae'}, 'submitted_organism': 'Erysipelothrix rhusiopathiae', 'submitted_species': 'Erysipelothrix rhusiopathiae', 'taxonomy_check_status': 'Failed'}, 'current_accession': 'GCA_902772725.1', 'organism': {'infraspecific_names': {'isolate': 'RUG11795'}, 'organism_name': 'Erysipelothrix rhusiopathiae', 'tax_id': 1648}, 'source_database': 'SOURCE_DATABASE_GENBANK', 'wgs_info': {'master_wgs_url': 'https://www.ncbi.nlm.nih.gov/nuccore/CACYBS000000000.1', 'wgs_contigs_url': 'https://www.ncbi.nlm.nih.gov/Traces/wgs/CACYBS01', 'wgs_project_accession': 'CACYBS01'}}