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  • Short genome report
  • Open Access

Complete genome sequence of Jiangella gansuensis strain YIM 002T (DSM 44835T), the type species of the genus Jiangella and source of new antibiotic compounds

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Standards in Genomic Sciences201712:21

  • Received: 15 November 2016
  • Accepted: 4 January 2017
  • Published:


Jiangella gansuensis strain YIM 002T is the type strain of the type species of the genus Jiangella, which is at the present time composed of five species, and was isolated from desert soil sample in Gansu Province (China). The five strains of this genus are clustered in a monophyletic group when closer actinobacterial genera are used to infer a 16S rRNA gene sequence phylogeny. The study of this genome is part of the G enomic E ncyclopedia of B acteria and A rchaea project, and here we describe the complete genome sequence and annotation of this taxon. The genome of J. gansuensis strain YIM 002T contains a single scaffold of size 5,585,780 bp, which involves 149 pseudogenes, 4905 protein-coding genes and 50 RNA genes, including 2520 hypothetical proteins and 4 rRNA genes. From the investigation of genome sizes of Jiangella species, J. gansuensis shows a smaller size, which indicates this strain might have discarded too much genetic information to adapt to desert environment. Seven new compounds from this bacterium have recently been described; however, its potential should be higher, as secondary metabolite gene cluster analysis predicted 60 gene clusters, including the potential to produce the pristinamycin.


  • Jiangella gansuensis
  • Jiangellales
  • Desert
  • Genome
  • Taxonomic comments
  • GEBA


Jiangella gansuensis strain YIM 002 T (=DSM 44835 T =CCTCC AA 204001 T =KCTC 19044 T) is the type strain of J. gansuensis . This organism is an aerobic, Gram-positive, haloduric filamentous actinomycete, placed within the genus Jiangella [1].

The genus Jiangella was first identified by Song et al. in 2005, including five halotolerant species listed at present by LPSN [2]. Members of this taxon isolated from different habitats, respectively, are rarely described except for their polyphasic approach based on combination of phenotypic and genotypic characteristics [1, 36]. The Jiangella was originally identified as a new genus of the family Nocardioidaceae within the suborder Propionibacterineae [1] based on phenotypic and genotypic criteria. However, the reconstruction of the phylogenetic relationships of Actinobacteria at higher taxa was done later based on using the 16S rRNA genes and other related evidences, such as taxon-specific 16S rRNA gene signature nucleotides [7, 8]. After the genus Haloactinopolyspora was described by Tang et al., the genus Jiangella together with the genus Haloactinopolyspora were placed in a novel family Jiangellaceae belong to Jiangellineae subord. nov., mainly because of theirs signature nucleotide patterns, 16S rRNA gene similarity and phylogenetic criteria [9]. Presently, the J. gansuensis is placed in the family Jiangellaceae of the order Jiangellales within the class Actinobacteria [10].

The capacity of J. gansuensis YIM 002 T to produce seven new compounds (five pyrrol-2-aldehyde compounds, jiangrines A-E; one indolizine derivative, jiangrine F; one glycolipid, jiangolide) has previously been shown [11], highlighting the importance of this bacterium and its analysis as a novel source of secondary metabolites. As part of the GEBA project and considering its phylogenetic position and biological significance, we finally decided to sequence the genome of the type strain of J. gansuensis . Here we present a summary classification and a set of features for J. gansuensis YIM 002 T, together with the description of genomic sequencing and annotation. At the same time, we will provide a brief introduction of its genome in this article.

Organism information

Classification and features

Strain YIM 002 T is a free-living isolate collected from a desert soil sample of Gansu Province during an investigation into microbial diversity of extreme environments. This actinobacterium forms well-differentiated non-sporulating aerial and substrate mycelia. Its aerial hypha was observed to have yellow-white color at the earliest and finally turns to orange-yellow after few days on NA medium, and its substrate mycelia fragmented into short or elongated rods in the early phase of the growth (Fig. 1). Growth was observed on ISP 2, ISP 3, ISP 4, ISP 5, nutrient agar and Czapek’s agar [1, 12]. The type strain of this taxon is able to tolerate a pH range between 5.0 and 10.0, and able to growth at the salinity between 0 and 10% (w/v NaCl), with no growth observed at 12.5%. Optimal growth of strain YIM 002 T occurs at pH 7.0–8.0, 1–5% (w/v) NaCl and 28 °C. The diamino acid in the peptidoglycan is LL-2,6-diaminopimelate. MK-9(H4) is the predominant menaquinone. The primary phospholipids profile of strain DSM 44835 T was found to consist of phosphatidylinositol mannosides, phosphatidylinositol and diphosphatidylglycerol. Its major cellular fatty acids (>10%) are anteiso-C15:0, anteiso-C17:0 and iso-C15:0. Whole cell sugar composition includes glucose and ribose, whereas the amino acids in the peptidoglycan layer were LL-A2pm, alanine, glycine and glutamic acid [1]. The DNA G + C content of the type strain was previously determined as 70% while genome analysis showed a higher value of 70.91%.
Fig. 1
Fig. 1

Scanning electron micrograph of Jiangella gansuensis strain YIM 002T grown on ISP medium 2 for 14d at 28 °C. Bar size: 2 μm

The draft genome of J. gansuensis YIM 002 T has one almost full-length 16S rRNA gene sequence, which correspond perfectly with the original sequence from the species description (AY631071). The comparison of this 16S rRNA sequence of YIM 002 T using the EzTaxon-e server [13], showed highest similarity to Jiangella alba YIM 61503 T (98.93%), with close relationships to other species within the genus, Jiangella muralis 15-Je-017T (98.88%), Jiangella mangrovi 3SM4-07T (98.49%) and Jiangella alkaliphila D8-87T (98.10%). Closest other genera are Haloactinopolyspora [9] and Phytoactinopolyspora [14]. The strains of the genus Jiangella have many 16S rRNA gene signature nucleotides compared with most of other described actinomycetes. This allows for distinguished them easily from other actinobacteria, especially in 11 unique positions, including 127:234 (G-C), 598:640 (C-G), 672:734 (G–C), 831:855 (U–A), 833:853 (G–C), 840:846 (A–U), 950:1231 (G–C), 952:1229 (G–C), 955:1225 (G–U), 986:1219 (U–G) and 987:1218 (C–G) [9].

Phylogenetic analyses were performed using both neighbor-joining (NJ) and maximum-likehood (ML) algorithms. The NJ phylogenetic tree of the genus Jiangella based on 16S rRNA genes provide an evidence of its independent taxon (Figs. 2 and Additional file 1: Figure S1), together with the genera Haloactinopolyspora and Phytoactinopolyspora , which arouse ours reflection on the relationship of three families among Jiangellaceae , Nocardioidaceae and Pseudonocardiaceae . The ML tree (Additional file 1: Figure S1) demonstrates the same positions in Jiangellaceae compared with the NJ tree. Minimum Information about the Genome Sequence is provided in Table 1.
Fig. 2
Fig. 2

Phylogenetic tree showing the relationship of J. gansuensis YIM 002T with some other actinobacteria based on 16S rRNA gene sequences. The Neighbour-joining tree was built using MEGA 5 [39] with the Kimura 2-parameter model. Bootstrap values (percentages of 1000 replicates) are shown at branch points. Asterisks denote nodes that were also recovered using the Maximum Likelihood method in the branch of Jiangellaceae. The Haloglycomyces albus act as the outgroup

Table 1

Classification and general features of Jiangella gansuensis strain YIM 002T in accordance with the MIGS recommendations [20], List of Prokaryotic names with Standing in Nomenclature [40] and the Names for Life database [41]




Evidence codea


Current classification

Domain Bacteria

TAS [42]

Phylum Actinobacteria

TAS [43]

Class Actinobacteria

TAS [7]

Order Jiangellales

TAS [44]

Family Jiangellaceae

TAS [9]

Genus Jiangella

TAS [1]

Species Jiangella gansuensis

TAS [1]

Type strain YIM 002T (=DSM 44835T)

TAS [1]

Gram stain



Cell shape




Non motile





Temperature range

10–45 °C


Optimum temperature

28 °C


pH range; Optimum


TAS [1]

Carbon source



Energy source





Desert soil







Oxygen requirement




Biotic relationship

Free living







Geographic location

Gansu Province, China



Sample collection time

2005 or before




Not reported




Not reported




Not reported


a Evidence codes - IDA: Inferred from Direct Assay; TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from of the Gene Ontology project [45]

Genome sequencing information

Genome project history

This organism was selected for sequencing on the basis of its important phylogenetic position and biological significance [15, 16], and for a better understanding of the school of ‘evolutionary taxonomy’ [17]. Sequencing of J. gansuensis YIM 002 T is part of Genomic Encyclopedia of Bacteria and Archaea pilot project [18], which aims for generating high quality draft genomes for bacterial and archaeal strains. The genome project is deposited in the Genomes OnLine Database (GOLD) [19], and the finished genome sequence was deposited in GenBank. Genome sequencing, finishing and annotation were performed by the Department of Energy, Joint Genome Institute (JGI) using state of the art genome sequencing technology [20]. A summary of project information is shown in Table 2, compliance with MIGS version 2.0 [21].
Table 2

Genome sequencing project information





Finishing quality

Non-contiguous Finished


Libraries used

Illumina Std shotgun library


Sequencing platforms

454-GS-FLX-Titanium Illumina GAii

MIGS 31.2

Fold coverage




ALLPATHS v. R37654


Gene calling method

Prodigal 1.4, GenePRIMP

Locus Tag


GenBank ID


GenBank Date of Release





PRJNA224116, PRJNA63165


Source Material Identifier

YIM 002, DSM 44835

Project relevance

Tree of Life, GEBA

Growth conditions and genomic DNA preparation

J. gansuensis strain YIM 002 T (=DSM 44835 T) was grown in DSMZ medium 65 (GYM Streptomyces medium) at 28 °C. Genomic DNA was isolated using Qiagen Genomic 500 DNA Kit (Qiagen, Hilden, Germany) following the standard protocol provided by the manufacturer. Some modifications were included for cell lysis, first freezing for 20 min (−70 °C), then heating 5 min (98 °C), and cooling 15 min to 37 °C; adding 1.5 ml lysozyme (standard: 0.3 ml, only), 1.0 ml achromopeptidase, 0.12 ml lysostaphine, 0.12 ml mutanolysine, 1.5 ml proteinase K (standard: 0.5 ml, only), followed by overnight incubation at 35 °C.

Genome sequencing and assembly

All general aspect of library construction and sequencing performed can be found at the JGI website. The complete sequence in one scaffold was obtained from 9 contigs with the assembly method ALLPATHS v. R37654, obtaining a total size of 5.5 Mbp from a total volume data of 4 Gbases (Fig. 3).
Fig. 3
Fig. 3

Graphical map of the J. gansuensis strain YIM 002T chromosome. The genome circular map was set up by the CGView Server [46]. From the outside to the center: Genes on forward strand (colored by COG categories), Genes on reverse strand (colored by COG categories), GC content, GC skew, where green indicates positive values and magenta indicates negative values

Genome annotation

Prodigal [22] was used to identify genes as part of the JGI genome annotation pipeline [23, 24] followed by a round of manual curation using the JGI GenePRIMP pipeline [25]. The National Center for Biotechnology Information non-redundant database, UniProt, TIGR/Fam, Pfam, PRIAM, KEGG, COG, and InterPro databases were used to analyse the predicted CDSs after translation. RNA genes identification was done using HMMER 3.0 [26] (rRNAs) and tRNAscan-SE 21.23 [27] (tRNAs). INFERNAL 1.0.2 [28] was used for prediction of other non-coding genes. Integrated Microbial Genomes Expert Review platform [29] permitted the additional gene prediction analysis and functional annotation. CRISPR elements were detected with CRT [30] and PILER-CR [31]. General statistics are shown in Table 3.
Table 3

Genome Statistics



% of total a

Genome size (bp)



DNA coding (bp)



DNA G + C (bp)



DNA scaffolds



Total genes



Protein-coding genes



RNA genes



Pseudo genes



Genes in internal clusters



Genes with function prediction



Genes assigned to COGs



Genes with Pfam domains



Genes with signal peptides



Genes with trandmembrane helices



CPISPR repeats



a The total is based on either the size of genome in base pairs or the total number of genes in the predicted genome

Genome properties

The assembly of the draft genome sequence consists of one scaffold for the strain YIM 002 T (Fig. 1), with 70.9% GC content (Table 3) in 5,585,780 nucleotides. From a total of 5104 genes, there were 4905 protein-coding genes, 149 pseudogens and 50 RNA genes. Numbers of the genes were assigned a putative function (48.86%), while the remaining protein-coding genes were annotated as hypothetical proteins. COGs categories distributions for the genes are presented in Table 4.
Table 4

Number of genes associated with the general COG functional categories



% age a





Translation, ribosomal structure and biogenesis




RNA processing and modification








Replication, recombination and repair




Chromatin structure and dynamics




Cell cycle control, cell division, chromosome partitioning




Defence mechanisms




Signal transduction mechanisms




Cell wall/membrane biogenesis




Cell motility




Intracellular trafficking, secretion, and vesicular transport




Posttranslational modification, protein turnover, chaperones




Energy production and conversion




Carbohydrate transport and metabolism




Amino acid transport and metabolism




Nucleotide transport and metabolism




Coenzyme transport and metabolism




Lipid transport and metabolism




Inorganic ion transport and metabolism




Secondary metabolites biosynthesis, transport and catabolism




General function prediction only




Function unknown




Not in COGs

aThe total is based on the total number of protein-coding genes in the genome

Insights from the genome sequence

The genome of YIM 002 T with a high G + C content and the smallest size within the Jiangella genomes (Table 3) may be the result of selection and mutation [32], which could involve several factors, such as environment, aerobiosis and others [33]. Generally speaking, a larger genome size may correlate with more complex habitat, suggesting that the genome encodes a large metabolic and stress-tolerance potential [34]. However, after we investigated the genome size of other type strains of Jiangella species, we found the size of the other three strains sequenced of this genus, J. alkaliphila , J. alba and J. muralis greater than 7 Mbp based on the genome data from NCBI. This result could implicate that the tight packing and small size of J. gansuensis is likely an adaptation for reproductive efficiency or competitiveness [35]. As a halotolerant actinobacterium, solute and ion transporter were predicted in its genome. At the same time, the genome shows properties related to solution of nitrate and sulfonate transport systems. Moreover, nitrite reductase and nitrogen fixation protein NifU were also detected.

The capacity of this microorganism to produce antibiotics has been recently proved with the description of seven new compounds (five pyrrol-2-aldehyde compounds, jiangrines A-E; one indolizine derivative, jiangrine F; one glycolipid, jiangolide) [11]. However, its potential should be higher, taken account the 45 biosynthetic clusters found within the JGI tool [36] and the 497 genes implicated in these clusters. As most of the clusters appear to be putative genes in this analysis, a second approach was carried out to detect the variety of biosynthetic types and enhance manual genome annotations of secondary metabolite biosynthesis. The software pipeline antiSMASH for secondary metabolite gene cluster identification, annotation and analysis was used [37, 38]. From this analysis, 60 gene clusters were identified, including 20 gene clusters in which the most similar clusters were still unknown (Additional file 2: Table S1). The result of the analysis shown the potential of J. gansuensis to produce pristinamycin, an antibiotic derived from Streptomyces pristinaespiralis effective against staphylococcal infections, and other antibiotics.


The genome sequence and annotation of J. gansuensis YIM 002 T were presented. This draft genome possess a smaller size (5.59 Mb) compared with other Jiangella species, and contents 2504 function predicted proteins, indicating that J. gansuensis possibly discarded many genes to adapt to the extreme desert conditions during its evolution. Although the processes of nitrous metabolism and secondary metabolism need further investigation to fully understand the related pathways, we believe that J. gansuensis participates in nitrogen cycling and has an important ability to produce secondary metabolites. This genome will contribute to further studies on phylogenetics and the mechanisms of environmental adaptation. A combined study together with genomes of other members in the family Jiangellaceae will help us to better understand the ecological role of this taxon and its relationships to other actinobacteria.



Clustered regularly interspaced short palindromic repeats


Genomic encyclopedia of bacteria and archaea


Integrated microbial genomes – expert review


Joint Genome Institute


List of prokaryotic names with standing in nomenclature


Maximum likelihood


Neighbour joining



We would like to gratefully acknowledge the help of Marlen Jando for growing J. gansuensis cultures, and Evelyne-Marie Brambilla for DNA extraction and quality control (both at DSMZ). This work was performed under the auspices of the US Department of Energy’s Office of Science, Biological and Environmental Research Program, and by the University of California, Lawrence Berkeley National Laboratory under Contract No. DE-AC02-05CH11231, Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344. AL was also supported by St. Petersburg State University grant (No WJL and WNH would like to extend their appreciation to Deanship of Scientific Research at King Saud University for funding this work through the research group No. PRG-1436-27 and Natural Science Foundation of China (No. 31670009). WJL was also supported by ‘Hundred Talents Program’ of the Chinese Academy of Sciences and Guangdong Province Higher Vocational Colleges & Schools Pearl River Scholar Funded Scheme (2014).

Authors’ contributions

JYJ, NCK, WJL, MG and HPK designed research and project outline. MG selected and prepared the samples. JYJ, LC, LL and XYG performed comparative genomics and 16S rRNA genes analyses. JYJ, LC, XTZ and AL analysed bioclusters and secondary metabolites. WNH, JYJ and WJL provided the background information on the current taxonomy in relationship to monophyletic groups. JYJ, LC, XYG, WJL and HPK drafted the manuscript. MH, TBKR, NV, MP, MH, NNI, JAE and TW performed genome sequencing, assembly and annotation. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, College of Life Science, Sun Yat-Sen University, Guangzhou, China
School of Biology, Newcastle University, Newcastle upon Tyne, UK
Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Science, Yunnan Province, China
Bioproducts Research Chair (BRC), College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Center for Algorithmic Biotechnology, St. Petersburg State University, St. Petersburg, Russia
DOE Joint Genome Institute, Walnut Creek, CA, USA
Leibniz-Institute DSMZ – German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
University of California, Davis, CA, USA
Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
Botany and Microbiology Department, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt
Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China


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