Skip to main content
BMC Genomics logoLink to BMC Genomics
. 2018 Aug 13;19:606. doi: 10.1186/s12864-018-4975-4

Horizontal gene transfer plays a major role in the pathological convergence of Xanthomonas lineages on common bean

Nicolas W G Chen 1,#, Laurana Serres-Giardi 1,#, Mylène Ruh 1, Martial Briand 1, Sophie Bonneau 1, Armelle Darrasse 1, Valérie Barbe 2, Lionel Gagnevin 3,4, Ralf Koebnik 4, Marie-Agnès Jacques 1,
PMCID: PMC6090828  PMID: 30103675

Abstract

Background

Host specialization is a hallmark of numerous plant pathogens including bacteria, fungi, oomycetes and viruses. Yet, the molecular and evolutionary bases of host specificity are poorly understood. In some cases, pathological convergence is observed for individuals belonging to distant phylogenetic clades. This is the case for Xanthomonas strains responsible for common bacterial blight of bean, spread across four genetic lineages. All the strains from these four lineages converged for pathogenicity on common bean, implying possible gene convergences and/or sharing of a common arsenal of genes conferring the ability to infect common bean.

Results

To search for genes involved in common bean specificity, we used a combination of whole-genome analyses without a priori, including a genome scan based on k-mer search. Analysis of 72 genomes from a collection of Xanthomonas pathovars unveiled 115 genes bearing DNA sequences specific to strains responsible for common bacterial blight, including 20 genes located on a plasmid. Of these 115 genes, 88 were involved in successive events of horizontal gene transfers among the four genetic lineages, and 44 contained nonsynonymous polymorphisms unique to the causal agents of common bacterial blight.

Conclusions

Our study revealed that host specificity of common bacterial blight agents is associated with a combination of horizontal transfers of genes, and highlights the role of plasmids in these horizontal transfers.

Electronic supplementary material

The online version of this article (10.1186/s12864-018-4975-4) contains supplementary material, which is available to authorized users.

Keywords: Xanthomonas, Common bean, TAL effectors, Host adaptation, Horizontal gene transfer

Background

In nature, most pathogens are generalists, meaning that they are able to infect multiple hosts, while other pathogens are specialists, meaning that they are highly adapted to a single or few host species [1]. For plant pathogens, adaptation to a specific host plant is a complex process possibly involving diverse molecular determinants and leading to host specificity [2, 3]. Understanding the molecular basis of host specificity can provide new insights into the evolution and ecology of specialist pathogens, and their potential to shift species and to infect new hosts. Bacteria from the genus Xanthomonas infect at least 392 plant species including important crops and ornamentals [4]. Yet, each individual strain is able to infect only one or few plant species. Strains able to cause the same symptoms on the same host range are grouped into pathovars [5]. Although our understanding of the molecular basis of host specificity is still limited, chemotactic sensors, adhesins and type III effectors emerge as key determinants for shaping host specificity in Xanthomonas [68]. Chemotactic sensors enable the bacteria to detect attractant or repellent molecules and trigger flagellar motility towards entry sites of the host plant, while adhesins allow the attachment on the host plant surface and biofilm formation, and type III effectors are delivered into the plant cells where they can have different functions including providing pathogen-associated molecular pattern triggered immunity (PTI).

The Xanthomonas axonopodis species complex sensu Vauterin [9, 10] groups more than 30 pathovars infecting a wide range of plants including economically important crops and ornamentals, such as Citrus, Anthurium and Dieffenbachia species, as well as pepper, cassava, cotton, mango, soybean, and common bean. Based on repetitive-sequence-based Polymerase Chain Reaction (rep-PCR) fingerprints, X. axonopodis has been subdivided into six subclusters named 9.1 to 9.6 [11]. More recently, this species complex has been split into the four species X. citri, X. euvesicatoria, X. phaseoli and X. axonopodis [12, 13]. Common bacterial blight of bean (CBB) is the most devastating bacterial disease infecting common bean (Phaseolus vulgaris L.). CBB occurs everywhere where common bean is cultivated and may cause up to 75% yield loss in the most severe cases [14, 15]. Xanthomonas strains responsible for CBB are distributed across four different genetic lineages [16]. The fuscous lineage (fuscans) and the non-fuscous lineages 2 (NF2) and 3 (NF3) belong to X. citri pv. fuscans while the non-fuscous lineage 1 (NF1) belongs to X. phaseoli pv. phaseoli [9, 11, 12]. Pathological convergence between the NF1 and fuscans lineages is associated with horizontal gene transfers (HGT) involving dozens of genes [17]. Horizontal transfer of genes encoding Transcription Activator-Like (TAL) type III effectors was also observed between the four lineages of CBB agents [18]. In particular, all strains from the four genetic lineages display an allele of the tal23A gene, suggesting that this gene is important for Xanthomonas adaptation to common bean.

In order to search for Xanthomonas genes putatively involved in the adaptation leading to common bean specificity in Xanthomonas, we have generated the whole genome sequences of 17 X. citri pv. fuscans and X. phaseoli pv. phaseoli strains. A combination of approaches including a comparison between the phylogeny of genes and the phylogeny of organisms, a parsimony approach to infer gene gains and losses, and a genome-wide search for specific k-mers, was used to search for genes presenting common characteristics unique to strains belonging to the four bean-pathogenic lineages of X. citri pv. fuscans and X. phaseoli pv. phaseoli.

Results

Genome sequencing and phylogeny

In order to obtain genomic data representative of the diversity of Xanthomonas strains responsible for CBB, we produced whole genome sequences for 17 strains from the four genetic lineages of X. citri pv. fuscans and X. phaseoli pv. phaseoli that affect beans. In addition, we sequenced two strains of X. citri pv. mangiferaeindicae, one strain of X. citri pv. anacardii, three strains of X. oryzae pv. oryzicola, and used 51 other publically available Xanthomonas genomes for a total of 72 whole genome sequences (Table 1). Stenotrophomonas maltophilia strain R551–3 and Xylella fastidiosa strains 9a5c and Temecula1 were used as outgroups for further analyses [1921]. Annotation revealed from 3209 to 5405 coding sequences (CDS) per Xanthomonas genome (Additional file 1). Among Xanthomonas strains responsible for CBB, chromosome size ranged from 4,957,446 bp in strain CFBP1815 to 5,517,999 bp in strain CFBP6992, with an average GC content ranging from 64.3 to 64.9%. The phylogeny of strains was assessed based on the amino acid sequences of all annotated CDS using CVTree (Fig. 1). The overall topology of this tree was congruent with previous Xanthomonas phylogenies [11, 12, 22]. As described previously, strains responsible for CBB are distributed into four distinct genetic lineages belonging to two different species, X. citri and X. phaseoli [12, 13, 16, 23].

Table 1.

Informations on the sequenced strains used in this study

Identifier Species/Pathovar Strain Host of isolation Country and date of isolation Contigs Total size (bp) GC% Accession number Reference
stenma5513 Stenotrophomonas maltophilia R551-3 Populus trichocarpa na 1 4,573,969 66.29 GCA_000020665.1 Taghavi et al., 2008 [21]
albiliPC73 X. albilineans GPE PC73 Saccharum spp. cv. H63-1418. Guadeloupe (France), 2003 1 3,768,695 62.97 GCA_000087965.1 Pieretti et al., 2009 [77]
aberra6865 X. campestris pv. campestris CFBP6865 Brassica oleracea var. capitata. Australia, 1975 4 5,169,518 64.93 Unpublished Noël, comm. pers
barbar5825 X. campestris pv. barbareae CFBP5825R Barbarea vulgaris USA, 1939 2 5,055,186 65.09 ATNQ00000000 Roux et al., 2015 [78]
campes8004 X. campestris pv. campestris 8004 Brassica oleracea var. botrytis. United Kingdom, 1958 1 5,148,708 64.95 GCA_000012105.1 Qian et al., 2005 [79]
campesAT33 X. campestris pv. campestris ATCC 33913 Brassica oleracea var. gemmifera United Kingdom, 1957 1 5,076,188 65.06 GCA_000007145.1 da Silva et al., 2002 [80]
campesB100 X. campestris pv. campestris B100 na na 1 5,079,002 65.04 GCA_000070605.1 Vorhölter et al., 2008 [81]
incana2527 X. campestris pv. incanae CFBP2527R Matthiola incana USA, 1950 1 4,926,205 65.12 ATNO00000000 Roux et al., 2015 [78]
incana1606 X. campestris pv. incanae CFBP1606R Matthiola incana France, 1974 1 4,967,651 65.17 ATNN00000000 Roux et al., 2015 [78]
musace4381 X. campestris pv. musacearum NCPPB4381 Musa sp. Uganda, 2005 115 4,810,038 61.96 ACHT00000000 Studholme et al., 2010 [82]
raphan5828 X. campestris pv. raphani CFBP5828R Raphanus sativus USA, na 2 4,912,709 65.35 ATNP00000000 Roux et al., 2015 [78]
raphan756C X. campestris pv. raphani 756C Brassica oleracea var. capitata east asia, na 1 4,941,214 65.28 GCA_000221965.1 Bogdanove et al., 2011 [83]
cassav4642 X. cassavae CFBP4642 Manihot esculenta Malawi, 1951 7 5,278,192 65.22 GCA_000454545.1 Bolot et al., 2013 [84]
axanac2913 X. citri pv. anacardii CFBP2913 Mangifera indica Brazil, na 1 5,203,496 64.57 CP024057 this study
axaura1035 X. citri pv. aurantifolii ICPB10535 Citrus aurantiifolia Brazil, na 351 5,060,896 64.81 ACPY00000000 Moreira et al., 2010 [85]
axcitr1083 X. citri pv. citri FDC1083 Citrus reticulata Brazil, 1980 1 5,218,314 64.72 CCVZ01000000 Gordon et al., 2015 [86]
axcitrJ902 X. citri pv. citri JF90-2 Citrus aurantiifolia Oman, 1986 1 5,251,225 64.66 CCWA01000000 Gordon et al., 2015 [86]
axcitrJ238 X. citri pv. citri JJ238-24 Citrus aurantiifolia Thailand, 1989 1 5,282,622 64.78 CCVX01000000 Gordon et al., 2015 [86]
axcitrLC80 X. citri pv. citri LC80 Citrus reticulata x C. sinensis Mali, 2006 1 5,229,127 64.7 CCWJ01000000 Gordon et al., 2015 [86]
axcitrLE20 X. citri pv. citri LE20-1 Citrus aurantiifolia Ethiopia, 2008 1 5,309,240 64.71 CCWK01000000 Gordon et al., 2015 [86]
axcitr9322 X. citri pv. citri LMG9322 Citrus aurantiifolia Florida, 1986 1 5,194,131 64.75 CCVY01000000 Gordon et al., 2015 [86]
axcitri306 X. citri pv. citri 306 na na 1 5,175,554 64.77 GCA_000007165.1 da Silva et al., 2002 [80]
phafus1815 X. citri pv. fuscans (fuscans) CFBP1815 Phaseolus sp Greece, 1978 1 4,957,446 64.82 GCA_900234415 this study
phafus4834 X. citri pv. fuscans (fuscans) 4834-R Phaseolus vulgaris cv. Michelet France, 1998 1 4,981,995 64.81 FO681494 Darrasse et al., 2013 [26]
phafus6166 X. citri pv. fuscans (fuscans) CFBP6166 Phaseolus vulgaris South Africa, 1963 1 4,987,587 64.8 GCA_900234455 this study
phafus6960 X. citri pv. fuscans (fuscans) CFBP6960 Phaseolus vulgaris Reunion island, France, 2000 1 4,992,131 64.79 GCA_900234515 this study
phafus6970 X. citri pv. fuscans (fuscans) CFBP6970 Phaseolus sp USA, 1990 1 5,006,656 64.9 GCA_900234505 this study
pha2GL6988 X. citri pv. fuscans (NF2) CFBP6988 Phaseolus vulgaris cv. marla Reunion island, France, 2000 1 5,132,433 64.64 Deposited this study
pha2GL6990 X. citri pv. fuscans (NF2) CFBP6990 Phaseolus vulgaris cv. marla Reunion island, France, 2000 1 5,124,653 64.63 GCA_900234485 this study
pha2GL6991 X. citri pv. fuscans (NF2) CFBP6991 Phaseolus vulgaris cv. marla Reunion island, France, 2000 1 5,342,565 64.35 GCA_900234525 this study
pha3GL6992 X. citri pv. fuscans (NF3) CFBP6992 Phaseolus vulgaris cv. marla Reunion island, France, 2000 1 5,517,999 64.48 GCA_900234495 this study
pha3GL6994 X. citri pv. fuscans (NF3) CFBP6994 Phaseolus vulgaris Tanzania, 1990 1 5,250,266 64.57 GCA_900234565 this study
pha3GL6996 X. citri pv. fuscans (NF3) CFBP6996 Phaseolus vulgaris cv. marla Reunion island, France, 2000 4 5,095,420 64.72 AVET00000000 this study
phafus7766 X. citri pv. fuscans (fuscans) CFBP7766 Phaseolus vulgaris Cameroon, 2009 1 5,185,891 64.63 GCA_900234475 this study
phafus7767 X. citri pv. fuscans (fuscans) CFBP7767 Phaseolus vulgaris Cameroon, 2009 1 5,107,388 64.7 GCA_900234465 this study
axglyc2526 X. citri pv. glycines CFBP2526 Glycine hispida Sudan, 1956 4 5,255,152 64.63 GCA_000495275.1 Darrasse et al., 2013 [26]
axglyc7119 X. citri pv. glycines CFBP7119 Glycine max Brazil, 1981 4 5,521,783 64.39 GCA_000488895.1 Darrasse et al., 2013 [26]
axmalv1386 X. citri pv. malvacearum GSPB1386 na na 127 4,991,411 64.7 GCA_000309905.1 Hainan University
axmalv2388 X. citri pv. malvacearum GSPB2388 na na 61 5,127,016 64.53 GCA_000309925.1 Hainan University
axmalvaX18 X. citri pv. malvacearum X18 Gossypium spp. Burkina Faso, 1980s 4 4,993,692 64.7 ATMA00000000 Cunnac et al., 2013 [87]
axmalvaX20 X. citri pv. malvacearum X20 Gossypium spp. Burkina Faso, 1980s 4 5,219,648 64.49 ATMB00000000 Cunnac et al., 2013 [87]
axmang5610 X. citri pv. mangiferaeindicae LG56-10 Mangifera indica na 4 5,281,952 64.56 PEBY00000000 this study
axmang8127 X. citri pv. mangiferaeindicae LG81-27 Mangifera indica na 6 5,209,594 64.68 PEBZ00000000 this study
axmangL941 X. citri pv. mangiferaeindicae LMG941 Mangifera indica India, 1957 195 5,144,323 64.84 CAHO01000001 Midha et al., 2012 [88]
axalfa3836 X. euvesicatoria pv. alfalfae CFBP3836 Medicago sativa Sudan, na 6 5,081,438 64.74 GCA_000488955.1 Jacques et al., 2013 [3, 22]
axalli6369 X. euvesicatoria pv. allii CFBP6369 Allium cepa Reunion island, France, 1996 3 5,427,488 64.36 GCA_000730305.1 Gagnevin et al., 2014 [89]
axmeloniF1 X. euvesicatoria pv. citrumelonis F1 Citrus sp. FL, USA, 1984 1 4,967,469 64.91 GCA_000225915.1 Jalan et al., 2011 [90]
axeuve8510 X. euvesicatoria pv. euvesicatoria 85-10 Capsicum annuum FL, USA, 1985 1 5,178,466 64.74 GCA_000009165.1 Thieme et al., 2005 [91]
perfor9118 X. euvesicatoria pv. perforans 91-118 Lycopersicon esculentum FL, USA, na 291 5,296,241 65.04 AEQW00000000 Potnis et al., 2011 [92]
gardne1965 X. gardneri ATCC19865 Lycopersicon esculentum Yugoslavia, 1953 552 5,594,687 63.68 AEQX00000000 Potnis et al., 2011 [92]
carotaM081 X. hortorum pv. carotae M081 Daucus carota OR, USA, na 154 5,039,269 63.83 GCA_000505565.1 Kimbrel et al., 2011 [93]
oryzaeKA10 X. oryzae pv. oryzae KACC10331 Oryza sativa Korea, na 1 4,941,439 63.69 GCA_000007385.1 Lee et al., 2005 [94]
oryzaeMA31 X. oryzae pv. oryzae MAFF 311018 Oryza sativa Japan, na 1 4,940,217 63.7 GCA_000010025.1 unpublished
oryzaePX99 X. oryzae pv. oryzae PXO99A Oryza sativa Philippines, na 1 5,240,075 63.63 GCA_000019585.1 Salzberg et al., 2008 [95]
oryzicBA15 X. oryzae pv. oryzicola BAI15 Oryza sativa Burkina Faso, 2009 1 4,315,327 64.16 GCA_002189395.1 this study
oryzicBA20 X. oryzae pv. oryzicola BAI20 Oryza sativa Burkina Faso, 2009 1 4,498,643 64.05 GCA_002189435.1 this study
oryzicBA21 X. oryzae pv. oryzicola BAI21 Oryza sativa Burkina Faso, 2009 1 4,419,870 64.07 GCA_002189465.1 this study
oryzicB256 X. oryzae pv. oryzicola BLS256 Oryza sativa Philippines, 1984 1 4,831,739 64.05 AAQN01000001 Bogdanove et al., 2011 [83]
axdieff695 X. phaseoli pv. dieffenbachiae LMG695 Anthurium andreanum Brazil, 1965 1 5,037,357 64.88 GCA_001564415.1 Robène et al., 2016 [96]
axmaniC151 X. phaseoli pv. manihotis CIO151 Manihot sp. Colombia, na 36 5,154,532 64.7 GCA_000265845.1 Rodriguez et al., 2012 [97]
pha1GLC412 X. phaseoli pv. phaseoli (NF1) CFBP412 Phaseolus vulgaris USA, na 1 5,028,351 64.94 GCA_900234435 this study
pha1GL6164 X. phaseoli pv. phaseoli (NF1) CFBP6164 Phaseolus vulgaris Romania, 1996 1 5,319,061 64.64 GCA_900234535 this study
pha1GL6546 X. phaseoli pv. phaseoli (NF1) CFBP6546 Phaseolus vulgaris USA, na 4 4,994,665 64.92 Deposited this study
pha1GL6984 X. phaseoli pv. phaseoli (NF1) CFBP6984 Phaseolus vulgaris Reunion island, France, 2000 1 5,106,663 64.82 GCA_900234425 this study
pha1GL7430 X. phaseoli pv. phaseoli (NF1) CFBP7430 Phaseolus vulgaris cv. CFO16 Iran, 2006 1 5,085,978 64.89 GCA_900234445 this study
axsyng9055 X. phaseoli pv. syngonii (NF1) LMG9055 Syngonium podophyllum na 6 5,010,905 64.82 GCA_001640215.1 Robène et al., 2016 [96]
saccha4393 X. sacchari NCPPB4393 Musa sp. Tanzania, 2007 470 4,955,099 69.03 AGDB00000000 Studholme et al., 2011 [98]
cereal2541 X. translucens pv. cerealis CFBP2541 Bromus inermis USA, 1941 10 4,524,870 67.37 GCA_000807145.1 Pesce et al., 2015a [99]
trgramXt29 X. translucens pv. graminis ART-Xtg29 Lolium multiflorum Switzerland, na 788 4,203,855 68.58 ANGG00000000 Wichman et al., 2013 [101]
gramin2053 X. translucens pv. graminis CFPB2053 Dactylis glomerata Switzerland, 1973 2 4,344,936 68.33 LHSI00000000 Pesce et al., 2015b [100]
trtran1874 X. translucens pv. translucens DSM18974 Hordeum vulgare USA, 1958 551 4,550,921 67.67 GCA_000331775.1 unpublished
vasculN702 X. vasicola pv. vasculorum NCPPB702 Saccharum officinarum Zimbabwe, 1959 97 5,491,457 56.86 ACHS00000000 Studholme et al., 2010 [82]
vesica3537 X. vesicatoria ATCC35937 Lycopersicon esculentum New Zealand, 1955 296 5,567,561 64.06 AEQV01000000 Potnis et al., 2011 [92]
xylefaTem1 Xylella fastidiosa subsp. fastidiosa Temecula1 Vitis vinifera USA, na 1 2,519,802 51.77 GCA_000007245.1 van Sluys et al., 2003 [102]
xylefa9a5c Xylella fastidiosa subsp. pauca 9a5c Citrus sinensis cv. Valencia Brazil, 1992 1 2,679,306 52.67 GCA_000006725.1 Simpson et al., 2000 [19]

na not available

Fig. 1.

Fig. 1

Phylogeny of Xanthomonas strains used in this study. Phylogeny of Xanthomonas strains used in this study with indication of gene gains and losses. The phylogenetic tree is based on whole genome analysis using CVTree [66] with default parameters. Strain aliases are described in Table 1. Stenotrophomonas and Xylella genomes have been used as outgroups. Xanthomonas main phylogenetic groups 1 and 2 [24] and the X. axonopodis species complex [9, 10] are indicated by arrows. Groups 9.2, 9.4, 9.5 and 9.6 [11] are indicated in brackets. Fuscans, NF2, NF3 and NF1 refer to the four genetic lineages of strains responsible for CBB. A parsimony approach was performed to infer gene gains (blue) and losses (red) at levels higher than the pathovar rank, and numbers are displayed at each branch. Red stars highlight cases where gene loss was greater that gene gain. Curved arrows represent horizontal gene transfers (HGT) retrieved by Ks analysis on alignments of 115 candidate genes for bean specificity, with HGT from X. citri pv. fuscans to X. phaseoli pv. phaseoli in green, HGT from X. phaseoli pv. phaseoli to X. citri pv. fuscans in purple, and HGT between X. citri pv. fuscans lineages in red. Numbers in circles correspond to the numbers of candidate genes involved for each HGT. Question marks indicate events for which the origin or end of the HGT was not precise enough to assign any particular lineage

Genome expansion occurred during the evolution of Xanthomonas

To identify the genes shared by different clades of Xanthomonas, we constructed an orthology matrix using OrthoMCL (Additional file 2). Based on this orthology matrix, we performed a parsimony approach to infer gene gains and losses at each branch of the phylogenetic tree (Fig. 1). We did not take into account events occurring on the most distal branches to reduce the bias due to the difference of quality between sequenced genomes. At every branch, one to several hundreds of genes were either gained or lost. A general observation was that gene gains were higher than gene losses, suggesting that genome expansion occurred during the evolution of Xanthomonas (Fig. 1). Only four cases of genome reduction were observed (i) at the origin of the Xylella genus, (ii and iii) along two consecutive branches before and after the split between the X. oryzae species and the X. vasculorum and X. musacearum species, and (iv) at the origin of X. citri pv. malvacearum. The largest gene gain (418) was observed at the origin of Xanthomonas phylogenetic group 2 as defined by Young et al. [24], while the largest gene loss (819) was observed at the origin of the Xylella genus. Few gene losses (9 to 32) were observed before the diversification of each of the four genetic lineages involved in CBB. Of those, the NF1 lineage was the one which gained the most genes (271) followed by the NF2 (225), NF3 (108) and fuscans (83) lineages, respectively.

The pan and core genomes of Xanthomonas reveal extensive horizontal gene transfers between strains pathogenic on common bean

Individuals that are closely related to each other typically share more orthologs than unrelated individuals. Therefore, groups of closely related individuals tend to have a smaller pan genome and a larger core genome than groups of more divergent individuals. As such, the pan and core genomes for the 72 Xanthomonas strains comprised 32,602 and 1144 CDS, respectively, while the pan and core genomes for the 75 strains including the outgroups comprised 34,723 and 816 CDS, respectively (Fig. 2). Similarly, each Rademaker group alone, i.e. 9.2, 9.4, 9.5 and 9.6, had a smaller pan genome (6578, 8222, 9387 and 9437 CDS, respectively) and a larger core genome (3493, 2949, 3056 and 3213 CDS, respectively) than the X. axonopodis species complex, which had pan and core genomes of 19,010 and 2297 CDS, respectively. Strikingly, when grouping strains responsible for CBB belonging to X. citri pv. fuscans and X. phaseoli pv. phaseoli, both the pan and core genomes (10,750 and 3222 CDS, respectively) were larger than the pan and core genomes from groups 9.4 (8222 and 2949 CDS, respectively) or 9.6 (9437 and 3213 CDS, respectively) (Fig. 2). Thus, strains responsible for CBB, although being phylogenetically diverse, had more genes in common than they had with other strains belonging to their respective clades, which was suggestive of extensive HGT among these strains. This result was reminiscent of previous comparative analyses showing that dozens of genes have been horizontally transferred between the fuscans and NF1 lineages [17].

Fig. 2.

Fig. 2

The core- and pan-genome of Xanthomonas. Gene numbers correspond to the number of ortholog groups retrieved for each group of strains. All: all strains used in this study (n = 75); Xantho: strains from the Xanthomonas genus (n = 72); X.axo: strains from the Xanthomonas axonopodis species complex (n = 44). 9.2, 9.4, 9.5, 9.6: strains belonging to rep-PCR groups 9.2 (n = 5), 9.4 (n = 8), 9.5 (n = 16) and 9.6 (n = 15), respectively, as defined in Rademaker et al. [103]. Xcf-Xpp: strains pathogenic on common bean belonging to Xanthomonas citri pv. fuscans or Xanthomonas phaseoli pv. phaseoli (n = 18)

Strains pathogenic on common bean share 115 CDS presenting unique characteristics

To search for genes potentially involved in the convergence between X. phaseoli pv. phaseoli (i.e. the NF1 lineage) and X. citri pv. fuscans (i.e. the NF2, NF3 and fuscans lineages) to infect common bean, we performed a combination of four different analyses. First, within the OrthoMCL matrix, we searched for CDS specifically present in the genomes of CBB agents and absent from any other Xanthomonas genome, or present in the genomes from all Xanthomonas but not in the genomes of CBB agents. No CDS was retrieved by this analysis. We also searched for CDS specifically present or absent when grouping the NF1 lineage to each of the NF2, NF3, or fuscans lineages. Only one CDS was specifically retrieved in the NF1 and fuscans lineages.

Second, we used the results from the CDS gains and losses approach described above to search for genes shared by all strains from X. phaseoli pv. phaseoli and X. citri pv. fuscans, and gained in the ancestor of one pathovar or the other. This approach unveiled nine CDS shared by all strains responsible for CBB, and gained in either X. phaseoli pv. phaseoli or X. citri pv. fuscans (Table 2). We also searched for CDS shared by the NF1 and each of the NF2, NF3, or fuscans lineage and gained in at least one of these lineages. Four CDS were shared by the NF1 and NF2 lineages, or the NF1 and NF3 lineages, while three CDS were shared by the NF1 and fuscans lineages.

Table 2.

Numbers of CDS presenting similarities among the lineages of CBB agents

Lineages studied Presence/absencea Gainedb Monophyleticc 24-mersd
NF1/NF2/NF3/fuscans 0 9 28 108
NF1/NF2 0 4 9 33
NF1/NF3 0 4 5 28
NF1/fuscans 1 3 105 231
Total 1 20 147 400

aCDS specifically present or absent in all the lineages studied compared to all other X. axonopodis strains

bCDS present in all the lineages studied and gained in a least one of these lineages

cCDS monophyletic for the lineages studied

dCDS containing 24-mers specifically present or absent in all the lineages studied compared to all other X.axonopodis strains

Third, we used a phylogenetic approach to search for genes for which strains from X. citri pv. fuscans and X. phaseoli pv. phaseoli formed a monophyletic group. For this, we constructed phylogenetic trees on 3202 CDS present in every X. citri pv. fuscans and X. phaseoli pv. phaseoli strain and in at least one additional strain from group 9.2 or 9.4 and one other strain from group 9.5 or 9.6. The additional strains from groups 9.2, 9.4, 9.5 and 9.6 were located inbetween X. citri pv. fuscans and X. phaseoli pv. phaseoli (Fig. 1). Thus, CDS found as monophyletic for CBB strains could be potential traces of HGT between both pathovars. This approach unveiled 28 CDS for which the four genetic lineages formed a monophyletic group, suggesting that they were horizontally transferred among these lineages (Table 2). Nine CDS were specifically monophyletic for the NF1 and NF2 lineages, five for the NF1 and NF3 lineages, and 105 for the NF1 and fuscans lineages, suggesting that most horizontal transfers occurred among the NF1 and fuscans lineages.

Finally, we used the SkIf tool [25] on the 72 Xanthomonas genomes to search for genes containing short 24-bp sequences (24-mers) specific to strains responsible for CBB, or alternatively genes from strains responsible for CBB lacking 24-mers present in all other strains from the X. axonopodis species complex. In all, we identified 108 CDS containing 24-mers either specifically present or absent from the four lineages (Table 2). Moreover, 33 CDS contained 24-mers specific for the NF1 and NF2 lineages, 28 for the NF1 and NF3 lineages and 231 for the NF1 and fuscans lineages. Similarly to the analysis based on phylogeny, this analysis based on k-mers pointed an overrepresentation of CDS with specific 24-mers shared by the NF1 and fuscans lineages compared to NF2 and NF3 lineages.

Together, these four analyses unveiled respectively 0, 9, 28, or 109 CDS presenting features unique to CBB agents. The analysis based on presence/absence seemed to be too stringent for unveiling any CDS, while the analysis based on k-mers was the most sensitive, suggesting that SkIf was an appropriate tool for finding common traits shared by phylogenetically distant strains. Most of these CDS were found redundantly by two or more analyses, for a total of 115 non-redundant CDS (Table 3). The most represented functions encoded by these 115 predicted CDS were hypothetical proteins (26 CDS), followed by membrane-related proteins (10 CDS), two-component system proteins (six CDS), putative secreted proteins (five CDS), reductases (five CDS), RNA-related proteins (five CDS), Type III secretion system-related proteins (five CDS), TonB-dependent proteins (four CDS), Type IV secretion system-related proteins (three CDS), Type VI secretion system-related proteins (three CDS), DNA-related proteins (three CDS) and transcription regulators (three CDS) (Table 3).

Table 3.

Overview of the 115 genes putatively involved in bean specificity

Identifiera Accession numberb Predicted function Gene Gained Monophyletic 24-mers Recombinant HGT Atypical GC% Nonsynonymous sites Aritua et al. [17]c
1 m00100560 TonB-dependent transporter Yes Yes
2 m00100580 type III effector avrBs2 Yes Yes Yes
3 m00100590 hypothetical protein Yes Yes Yes
4 m00101230 two compoment system sensor protein Yes
5 m00101980 two component system protein glnG Yes
6 m00102200 two component system response regulator Yes Yes Yes Yes
7 m00104250 type III secretion system protein hrpF Yes Yes Yes
8 m00104520 type III effector xopA Yes Yes Yes
9 m00104530 lytic transglycosylase-like protein hpaH Yes Yes Yes Yes
10 m00104540 hypothetical protein Yes Yes Yes
11 m00104640 diguanylate cyclase Yes Yes Yes
12 m00104690 4-alpha-glucaNotransferase malQ Yes Yes
13 m00105290 threonine aldolase Yes Yes
14 m00105330 flavin reductase Yes Yes Yes Yes
15 m00105340 anthranilate phosphoribosyl transferase trpD Yes Yes
16 m00105390 S-adenosylmethionine decarboxylase speD Yes Yes Yes
17 m00105750 hypothetical membrane protein Yes
18 m00107500 TonB-dependent transporter Yes Yes Yes
19 m00108560 general secretion pathway protein D xpsD Yes Yes Yes Yes Yes
20 m00108570 hypothetical protein Yes Yes Yes
21 m00108600 TonB-dependent transporter Yes Yes Yes Yes
22 m00109610 TonB-dependent transporter Yes Yes Yes
23 m00109620 phosphoanhydride phosphohydrolase appA Yes Yes Yes Yes Yes
24 m00109670 hypothetical protein Yes Yes
25 m00109990 bis(5′nucleosyl)-tetraphosphatase apaH Yes
26 m00110970 peptidyl-tRNA hydrolase Yes Yes Yes Yes
27 m00111160 50S ribosomal protein rplW Yes Yes
28 m00112070 two-component system sensor protein phoR Yes
29 m00113470 xanthine dehydrogenase subunit Yes Yes Yes Yes Yes
30 m00113490 xanthine dehydrogenase subunit Yes Yes
31 m00114150 membrane protein Yes Yes Yes
32 m00114680 two component system sensor protein Yes Yes Yes
33 m00116790 NAD/FAD binding protein Yes Yes
34 m00117590 acetyltransferase Yes Yes
35 m00117600 transcriptional regulator Yes Yes Yes Yes Yes
36 m00117610 hypothetical protein Yes Yes Yes
37 m00118890 hypothetical protein Yes Yes
38 m00119700 putative secreted protein Yes
39 m00119970 phosphomethylpyrimidine kinase thiD Yes Yes Yes
40 m00121810 threonine synthase thrC Yes Yes Yes Yes
41 m00121850 histidyl tRNA synthetase hisS Yes Yes
42 m00121900 histidinol phosphatase hisB Yes Yes Yes
43 m00123210 recombination factor protein rarA Yes Yes
44 m00126530 ethanolamine permease eutP Yes Yes Yes
45 m00126540 ethanolamine ammona-lyase eutB Yes Yes
46 m00127140 membrane protein Yes Yes
47 m00127150 cGMP specific phosphodiesterase Yes Yes Yes Yes
48 m00127220 hypothetical protein Yes Yes
49 m00127250 ubiquinol-cytochrome c reductase subunit Yes Yes
50 m00127260 ubiquinol-cytochrome c reductase subunit Yes Yes
51 m00127850 1-phosphofructokinase fruK Yes Yes
52 m00127860 PTS fructose porter IIBC component fruA Yes Yes
53 m00130650 RNA polymerase ECF-type sigma factor rpoE2 Yes Yes Yes
54 m00130660 hypothetical protein Yes Yes Yes Yes
55 m00130670 RNA-binding protein Yes Yes Yes
56 m00130690 inner membrane protein Yes Yes
57 m00132430 DNA topoisomerase IA Yes Yes
58 m00135840 membrane fusion protein Yes
59 m00135870 sulfite reductase (NADPH) subunit cysJ Yes Yes Yes
60 m00135880 sulfite reductase (NADPH) subunit cysI Yes Yes
61 m00135970 transcriptional regulator protein cysB Yes Yes
62 m00135980 siroheme synthase cysG Yes Yes Yes
63 m00136050 phosphoglycerate kinase pgk Yes Yes
64 m00136550 hypothetical protein Yes
65 m00138140 two-compoment system sensor protein Yes Yes
66 m00139330 dihydrolipoamide acetyltransferase aceF Yes Yes Yes
67 m00139350 DNA glycosylase Yes Yes Yes
68 m00139420 membrane protein Yes Yes Yes Yes
69 m00139860 putative secreted protein Yes
70 m00139930 flavodoxin protein Yes Yes
71 m00140860 peptidoglycan binding protein lysM Yes Yes
72 m00140880 hypothetical protein Yes
73 m00141310 PhnB like protein Yes Yes Yes
74 m00141340 hypothetical protein Yes Yes
75 m00141400 hypothetical protein Yes Yes
76 m00141430 transmembrane protein Yes Yes Yes
77 m00141440 hypothetical protein Yes Yes Yes
78 m00141490 dipeptide epimerase Yes Yes
79 m00142140 putative glucosyltransferase Yes Yes Yes
80 m00144120 type VI secretion system protein icmF Yes Yes Yes Yes
81 m00144240 type VI secretion system kinase protein tagE Yes Yes Yes
82 m00144270 transmembrane sensor protein fecR Yes Yes
83 m00144420 type VI secretion system virulence protein impE Yes Yes Yes
84 m00145330 type III effector xopAD Yes Yes Yes Yes
85 m00146940 membrane protein Yes Yes Yes
86 m00146970 LysR family transcriptional regulator Yes Yes
87 m00146980 short chain dehydrogenase Yes Yes
88 m00146990 RNA 2′-phosphotransferase family protein Yes Yes Yes
89 m00147020 hypothetical protein Yes Yes Yes
90 m00147060 esterase family protein Yes Yes
91 m00147090 putative secreted protein Yes Yes
92 m00147100 putative secreted protein Yes Yes Yes
93 m00147120 ribosomal pseudouridine synthase Yes Yes Yes Yes
94 m00147130 hypothetical protein Yes Yes Yes
95 m00147140 putative secreted protein Yes Yes Yes
96 m00200020 plasmid partitioning protein Yes Yes na Yes
97 m00200060 hypothetical protein Yes Yes na Yes
98 m00200080 hypothetical protein Yes Yes na Yes
99 m00200130 hypothetical protein Yes Yes Yes
100 m00200150 hypothetical protein Yes Yes na Yes
101 m00200160 hypothetical protein Yes na Yes Yes
102 m00200170 hypothetical protein Yes na Yes
103 m00200190 hypothetical protein Yes na Yes
104 m00200260 hypothetical protein Yes Yes Yes
105 m00200790 transposase tnpA Yes Yes Yes
106 m00200820 resolvase tnpR Yes Yes
107 m00200880 DNA topoisomerase IA Yes na Yes
108 m00200980 type IV secretion system protein trbI Yes Yes Yes na Yes
109 m00201120 membrane protein Yes
110 m00201220 type IV conjugal transfer protein traG Yes na Yes
111 m00201230 hypothetical protein Yes na Yes
112 m00201250 lytic transglycolase Yes Yes Yes na Yes
113 m00201260 type IV conjugal transfer protein traF Yes Yes na Yes
114 m00201270 hypothetical protein Yes Yes Yes na Yes
115 m00201290 hypothetical protein Yes Yes Yes na Yes
Total 115 9 28 108 18 88 2 44 9

– not found in corresponding analysis

na not applicable due to the absence of corresponding CDS in outgroup

aidentifiers correponding to the numbers shown in Fig. 3

baccession numbers for strain CFBP6456

cgenes with 100% identity over 95% of their length according to Aritua et al. [17]

We hypothesized that the CDS potentially involved in the specific adaptation to common bean should bear nonsynonymous polymorphisms specific to Xanthomonas strains pathogenic on common bean. Analysis of the alignments for the 115 candidate CDS highlighted 44 CDS with nonsynonymous sites retrieved exclusively in X. citri pv. fuscans and X. phaseoli pv. phaseoli (Table 3). More than one third of these CDS (16/44) encoded hypothetical proteins. Among the other CDS, three encoded type IV secretion system proteins TrbI TraG and TraF, two encoded putative secreted proteins, two encoded type III secretion system proteins XopA and XopAD, two encoded DNA topoisomerases, and others encoded proteins of various functions (Table 3).

Specificity to common bean is associated with successive waves of horizontal gene transfers

Strain CFBP6546 from the NF1 lineage was used as reference for further analyses. Its genome contained one chromosome and three extrachromosomal plasmids formerly described as plasmid a, plasmid b and plasmid c in strain 4834-R [26]. Most candidate genes (95/115) were located on the chromosome, while 20 were located on the plasmid a (Fig. 3). This corresponds to a density of one candidate gene per 50.9 kbp in the chromosome, and one per 3.5 kbp for the plasmid a, while none were retrieved in plasmids b or c. Interestingly, all the CDS found in plasmid a contained specific nonsynonymous sites (Table 3). Thus, plasmid a appeared as an important vector of genes involved in the adaptation to common bean. Another observation was that the chromosome contained regions with various 24-mers shared by the NF1 lineage and any of the fuscans, NF2 or NF3 lineages (in green, blue or black in Fig. 3, respectively). This suggests that the regions shared by the NF1 and the other lineages diverged since the split between the NF2, NF3 and fuscans lineages. By contrast to what was observed for the chromosome, all specific 24-mers found in plasmid a were simultaneously shared by the four genetic lineages of strains responsible for CBB (in purple in Fig. 3), indicating that these regions have been shared between the four lineages recently enough to still have 100% identity between each other. Together, these results suggest that 24-mers retrieved in the chromosome correspond to more ancient HGT events than those retrieved in plasmid a.

Fig. 3.

Fig. 3

Mapping of the 24-mers specific for strains pathogenic on common bean. The innermost rings represent the reference chromosome or plasmids with associated coordinates. Colored lines represent 24-mers specifically retrieved in X. citri pv. fuscans and X. phaseoli pv. phaseoli strains (purple), or in the NF1 plus fuscans lineages (green), or in the NF1 plus NF2 lineages (blue), or in the NF1 plus NF3 lineages (black). Red numbers correspond to the identifiers of the 115 genes listed in Table 3

Nucleotide synonymous substitution rates at silent sites (Ks) is an estimation of neutral evolution because it does not take into account the nonsynonymous sites that can be under selection pressure. Therefore, Ks can be used as an approximation of the time of divergence between genes or taxa, with higher Ks value meaning longer time of divergence between two sequences [27, 28]. For each of the 115 candidate genes found in CBB agents, we performed multiple alignments. We could not perform Ks analysis on 15 genes that were lacking outgroups (Table 3), therefore we tested only 100 out of 115 genes. Among these 100 genes, 18 were recombinants according to RDP software analysis (Table 3). For these 18 recombinants, Ks values were independently calculated on both sides of the breakpoints. We calculated pairwise Ks values for different combinations of strains including X. citri pv. fuscans, X. phaseoli pv. phaseoli and closely related strains including X. citri pv. anacardii, X. citri pv. aurantifolii, X. phaseoli pv. syngonii, X. phaseoli pv. dieffienbachiae and X. phaseoli pv. manihotis (Fig. 1, Additional file 3). We then used these Ks as relative time divergence estimations to infer if a HGT occurred between NF1, NF2, NF3 and/or fuscans lineages, as well as the direction of this HGT. For example, for gene m00100580b the mean Ks value between strains from the NF1 and fuscans lineages was 7.40e-03 +/− 2.85e-10. This value was lower than the Ks values when comparing the fuscans lineage to its closest relatives from the NF2 or NF3 lineages (Ks = 4.58e-02 +/− 1.32e-09 or 4.08e-02 +/− 1.54e-09, respectively), or when comparing the NF1 lineage to its closest relative X. phaseoli pv. manihotis (Ks = 5.33e-01 +/− 0.00). These results indicate that m00100580b was more similar between the NF1 and fuscans lineages than between these lineages and their closest relatives, meaning that m00100580b was horizontally transferred between the ancestors of the NF1 and fuscans lineages. Moreover, the Ks value between the NF1 lineage and the NF2 or NF3 lineages (Ks = 4.36e-02 +/− 1.04e-09 or 4.01e-02 +/− 0.00, respectively) was lower than between the NF1 lineage and X. phaseoli pv. manihotis (Ks = 5.33e-01 +/− 0.00). Therefore, m00100580b was closer between NF1 strains and other strains from group 9.6 than from it’s closest relatives, meaning that the horizontal transfer was directed from the fuscans lineage to the NF1 lineage. This analysis confirmed HGT for 88 out of 100 genes tested (Fig. 1, Table 3, Additional file 3). The vast majority of HGT was directed from X. citri pv. fuscans to X. phaseoli pv. phaseoli, while only four HGT occurred from X. phaseoli pv. phaseoli to X. citri pv. fuscans. In particular, 55 HGT events were detected from the fuscans lineage to the NF1 lineage. In addition to having been transferred between distant lineages, 16 and 1 genes were also transferred between the fuscans and the NF2 lineages, or the fuscans and the NF3 lineages, respectively (Fig. 1). Moreover, eight genes had Ks = 0.00 +/− 0.00 between the NF2 and NF3 lineages, and nine between the NF2, NF3 and fuscans lineages, suggesting that HGT events also occurred between these lineages (Fig. 1, Additional file 3). Together, our results show that several more or less important waves of HGT occurred between the ancestors of phylogenetically distant strains responsible for CBB.

Finally, GC content is often used as a mean to detect HGT from foreign origin [29]. Out of the 115 candidate CDS, only two CDS (m00105390 and m00200160) presented an atypical GC content (α < 0.05) within the genome of strain CFBP6546 (Table 3). This result was not unexpected, as all strains from the NF1, NF2, NF3 and fuscans lineages have a similar GC content around 64% (Table 1), therefore HGT between these strains was not expected to result in a shift of GC content.

Discussion

We performed a comparative genomics analysis to detect genes putatively involved in Xanthomonas specificity to common bean. For this, we generated the whole genome sequence from 17 strains representing the diversity of the four genetic lineages belonging to X. citri pv. fuscans and X. phaseoli pv. phaseoli. We used a combination of comparative genomics approaches that led to the discovery of 115 genes bearing features unique to CBB agents. Out of these 115 genes, 108 were retrieved using the SkIf tool based on specific 24-mer search [25]. Previous analyses based on identity percentage unveiled 63 genes sharing 100% identity over at least 95% of their length among strains from the NF1 and fuscans linages [17]. Only nine of these genes were retrieved within our list of 115 genes (Table 3). This difference can be explained by the fact that we discarded most of the genes shared only by the NF1 and fuscans lineages and retained genes similar in all four genetic lineages of CBB agents (Table 2). On the other hand, we unveiled numerous genes that did not share 100% identity among the NF1 and fuscans lineages for their whole length, but instead shared small specific sequences of 24 nucleotides or more. Whether these similarities lie within functionally important domains of the encoded proteins remains to be studied.

Ks comparisons, showed that a majority of these genes were involved in HGT between X. citri pv. fuscans and X. phaseoli pv. phaseoli. Therefore, HGT was the predominant force leading to similarities between the genomes of X. citri pv. fuscans and X. phaseoli pv. phaseoli. Finding HGT events within these genes validated our approach. In particular, SkIf was an interesting tool because in addition to being more sensitive than gene gain and loss or phylogenetic approaches, it was not based on gene alignments, thus less sensitive to annotation and/or sequencing biases. HGT events occurred at different moments of the evolution of Xanthomonas strains having common bean as host. The vast majority of these HGT were directed from X. citri pv. fuscans to X. phaseoli pv. phaseoli. This strongly suggest that X. citri pv. fuscans was originally pathogenic on common bean, and that X. phaseoli pv. phaseoli subsequently acquired the ability to cause CBB on bean due to successive acquisitions of novel genes and/or novel alleles coming from the three X. citri pv. fuscans lineages. This can be compared to our knowledge on the origin of the lineages and their genetic diversity. The causal agent of CBB was first isolated and identified by Smith in 1897 [30] as a yellow pigmented strain, later shown as belonging to the NF1 lineage. Burkholder later isolated the first fuscous strains from beans grown in Switzerland in 1924 [31]. However there are no data to document a putative pre-existence of one, the other, or both types of strains prior to their first identifications. The genetic diversity of the yellow and fuscous strains was revealed by various methods. Amplified or restriction fragment length polymorphism analyses [16, 3234], amplified polymorphic DNA fragments [32, 35], pulse field gel electrophoresis [33], and multilocus sequence analysis [23] all revealed that both types of strains are more or less equivalent in terms of genetic diversity. This suggests that diversification of both lineages occurred around the same time, and thus that the ancestors of these two lineages may have coexisted. As a consequence, X. citri pv. fuscans may be the descendant of the original CBB agent that had transferred determinants useful for adaptation on common bean to the ancestor of X. phaseoli pv. phaseoli. Therefore, the ancestor of X. phaseoli pv. phaseoli appears as a recombinant that emerged as a new common bean pathogen through the acquisition of novel genes and alleles. In quarantine areas such as Europe, Turkey, Barhain, Azerbaijan and Israel, seed lots are routinely tested using a method from the International Seed Testing Association involving isolation of bacterial strains, pathogenicity tests, and specific PCR assays [36, 37]. Our results could serve for improving PCR-based monitoring of CBB agents by designing PCR primers on genes presenting sequences unique to CBB agents and potentially important for common bean specificity. Such primers could potentially detect novel HGT of these genes in strains unrelated to X. phaseoli pv. phaseoli and X. citri pv. fuscans, thus allowing to forecast new threads potentially dangerous for common bean production.

Very diverse functions were retrieved among the proteins encoded by the 115 candidate genes. Interestingly, 44 genes contained nonsynonymous polymorphisms specific for strains responsible for CBB, suggesting that they may play an important role in common bean specificity. Although 17 of these 44 genes encoded hypothetical proteins, it appears that most other genes encoded proteins involved in pathogenicity or in the interaction with the plant environment. The type IV secretion system was particularly represented with genes encoding TraF, TraG and TraI, and is involved in the translocation of macromolecules such as proteins important for pathogenicity, or DNA for mediating HGT [38, 39]. Thus, sharing similar proteins of the type IV secretion system could favour HGT among strains responsible for CBB. Indeed, strains from the NF1, NF2, NF3 and fuscans lineages have been found in La Réunion Island in 2000 (Table 1), indicating that sympatry exists among all these lineages, rendering further HGT events possible [18]. Three genes encoding proteins related to the type III secretion system were retrieved. XopA [40] and HpaH [41] are two proteins that may be involved in the structure of the type III secretion system, while XopAD is a type III effector of unknown function consisting of multiple semi-conserved 42 amino acids SKW repeats [42, 43]. The type III secretion system is pivotal for the virulence of most Gram negative plant pathogenic bacteria, and repertoires of type III effectors have been described as potentially important factors for host specificity and host adaptation in Xanthomonas [7, 44, 45] and other genera such as Pseudomonas [46]. Moreover, our analysis pointed out one diguanilate cyclase and one cGMP specific phosphodiesterase, two proteins involved in the metabolism of cyclic di-GMP that may play a role in biofilm formation [47] and pathogenicity [48]. One TonB-dependent transporter was also retrieved. TonB-dependent transporter are outer membrane receptors involved in molecule uptake such as iron siderophore complexes or nutrients and may play a role in host specificity [3, 49]. Other proteins putatively involved in pathogenicity were retrieved, such as ThrC, a threonine synthase involved in the virulence of X. oryzae pv. oryzicola in rice [50], XpsD, an outer membrane protein from the type II secretion system that is putatively involved in the secretion of cell wall degradative enzymes during infection [51], or IcmF, a protein of the type VI secretion system, which is involved in the interaction with other bacteria and may participate in pathogenicity [52, 53]. One flavine reductase and one xanthine dehydrogenase, two proteins putatively involved in oxydoreduction pathways were retrieved, and may be involved in the response to stress during the interaction with common bean. In addition to genes putatively involved in pathogenicity or virulence, our analysis unveiled genes involved in more general metabolism pathways, such as PhnB involved in the biosynthesis of tryptophan [54], or two DNA topoisomerases involved in the relaxation of the supercoiled DNA molecule during transcription, replication or recombination [55]. On one hand, our analysis unveiled only one or few genes within a given function, while the functions retrieved correspond to pathways often involving dozens of genes. This suggested that slight modifications within a given pathway would be sufficient to impact host specificity. On the other hand, the genes retrieved here encompass almost all the stages of host plant colonization by the bacteria, from the ability to mobilize trophic resources for multiplication to the interaction with other microorganisms, biofilm formation, response to oxidative stress, and inhibition of plant defences. Therefore, the ability to infect a particular plant seems to require not just one or a few adaptative determinants but an arsenal of factors allowing a global adaptation to a specific niche including the plant and, as a consequence a fine tuning and coordination of the activity of these determinants.

Interestingly, 19 of these 44 candidate genes were retrieved on plasmid a, suggesting that this plasmid played a major role for pathological convergence of CBB agents. Plasmid a carries an additional type III effector gene encoding an effector from the Transcription Activator-Like (TAL) family that was horizontally transferred between the NF1, NF2, NF3 and fuscans lineages [18]. Plasmids are genetic elements that favour HGT, but transfers of whole plasmids often induce a fitness cost for the bacteria [56]. More generally, horizontally transferred genes tend to be lost if not providing selective advantages for recipient strains [57]. Interestingly, the nine candidate genes retrieved by the gain and loss approach were all located on plasmid a (Table 3). The maintenance of these novel genes in the four genetic lineages of CBB agents is a testament to the importance of these genes for the bacteria. Except for two genes encoding proteins involved in the type IV secretion system, the other seven genes encoded proteins of unknown function. It would be interesting to perform functional characterization of these genes, and further analyse their implication in common bean specificity. Analysing the expression patterns during infection would be a natural extension of this study, and a first step towards functional validation of these genes.

Conclusion

Together, our results indicate that consecutive waves of HGT occurred between phylogenetically distant Xanthomonas strains able to cause the same symptoms on the same host plant: common bean. These HGT led to specific combinations of genes only retrieved in strains responsible for CBB, which provided new insights into the evolution of these bacteria towards infecting common bean. Mining for candidate genes for host specificity could be generalized to other polyphyletic pathovars such as pathovars euvesicatoria, vesicatoria, perforans, and gardneri forming a group of strains pathogenic on pepper and tomato [8]. Such analyses could both give new information on the molecular bases of host specificity, and provide new tools for enhancing epidemiological surveillance of strains pathogenic on a given host, or detecting recombinant strains presenting a high potential of emergence through the acquisition of novel genes.

Methods

Bacterial genomes and strains

All strains used in this study are listed in Table 1. The strains used for genome sequencing were provided by the CIRM-CFBP (International Center for Microbial Ressources - French Collection for Plant-associated Bacteria, https://www6.inra.fr/cirm_eng/). Genome sequencing was performed using the following procedure. Genomic DNA was prepared from overnight liquid cultures of bacteria previously grown on 10% TSA medium (tryptone at 1.7 g/L, soybean peptone at 0.3 g/L, glucose at 0.25 g/L, NaCl at 0.5 g/L, K2HPO4 at 0.5 g/L, agar at 15 g/L, pH 7.2) for 2 days at 28 °C. DNA was extracted and purified by the method of Klotz and Zimm [58]. Illumina sequencing was performed by Genoscope (20 strains, paired end reads of 300/500 bp) or GATC Biotech (three strains, with combined paired-end reads of ca. 250 bp and 3 kb mate-pair reads). Genome assembly was performed using a combination of SOAPdenovo (version 2.04) [59], SOAPGapCloser (version 1.12) [60] and Velvet (version 1.2.02) [61] assemblers. Sequenced genomes were estimated to be > 93% complete and < 3% contaminated (Additional file 4) using CheckM (version 1.0) [62]. The pathogenicity of all CBB strains was confirmed on common bean plants from cultivar Flavert as described in Ruh et al. [18]. The seeds from cultivar Flavert were kindly provided by Vilmorin (La Ménitré, France) and are available at the bean collection of the CIAT (Center for Tropical Agriculture, Colombia, http://genebank.ciat.cgiar.org/genebank/main.do).

Annotation and phylogenomic analyses

Structural and functional annotation of whole genome assemblies was performed using the automated pipeline Eugene-PP (version 1.2) [63], using SWISS-PROT as protein database and training protein database (http://www.uniprot.org/). Additional functional annotation of all predicted CDS was performed with InterProScan (version 4) [64]. A presence/absence matrix of ortholog groups was constructed using OrthoMCL (version 2.0) on amino acid sequences from all predicted CDS at an inflation index of 1.5 [65]. This matrix was then used for defining core and pan genomes. Phylogenetic trees were constructed using CVTree (version 4.2) [66] using the aminoacid sequences of all predicted CDS from the 75 genomes used in this study. CDS gains and losses were analysed using the Most Parcimonious Reconstruction function from the APE package (version 3.2) [67] to search for the most parsimonious succession of events explaining the repertoire of ortholog groups at each node of the phylogenetic tree.

Searching for genes monophyletic for X. citri pv. fuscans and X. phaseoli pv. phaseoli strains

A phylogenetic approach was used to search for genes for which strains from X. citri pv. fuscans and X. phaseoli pv. phaseoli form a monophyletic group. For this we selected 3202 CDS using an R script to search the orthology matrix for genes that were present in all X. citri pv. fuscans and X. phaseoli pv. phaseoli strains and in at least one strain from Rep-PCR group 9.2 or 9.4 [11] plus one another strain from Rep-PCR group 9.5 or 9.6, in order to avoid getting trees were X.citri pv. fuscans and X. phaseoli pv. phaseoli appear monophyletic due to a lack of correspondig genes in the strains inbetween. CDS were aligned using MAFFT (version 7) with L-INS-I strategy [68]. Neighbour-joining trees were constructed using APE (version 3.2) under the Kimura 80 model [67]. CDS monophyletic for all X. citri pv. fuscans and X. phaseoli pv. phaseoli strains, or alternatively for the NF1 and another lineage (i.e. NF2, NF3, or fuscans), were retrieved using the APE package (version 3.2) [67].

Searching for genes containing k-mers specific for X. citri pv. fuscans and X. phaseoli pv. phaseoli strains

A k-mer-based approach was used to search for genes containing short specific sequences present in all strains from X. citri pv. fuscans and X. phaseoli pv. phaseoli but absent in other strains. For this, we used SkIf (version 1.0) [25] with a k-mer size of 24 (or 24-mer), and using X. citri pv. fuscans strain 4834-R genome as reference. The same approach was used to search for genes containing 24-mers absent in strains belonging to X. citri pv. fuscans and X. phaseoli pv. phaseoli but conserved in all other strains from the X. axonopodis species complex, using X. citri pv. anacardii strain CFBP2913 genome as reference.

Recombination and HGT analyses

The 115 genes presenting specific traits of adaptation to common bean were aligned using MAFFT (version 7) with L-INS-I strategy [68]. Intragenic recombination events were then searched using a suite of programs implemented in RDP (version 4.16) [69], RDP [70], Geneconv [71], MaxChi [72], Chimaera [73], Bootscan [74] and 3seq [75]. Default parameters were used for each method except for Bootscan (window = 150, step = 20, neighbor joining trees, 200 replicates, 95% cut-off, J&N model with Ti:Tv = 2, coefficient of variation = 2). Ks was calculated using DNAsp (version 5) [76]. For each gene, the occurrence and dating of HGT events were estimated by comparing Ks values from 28 different pairwise combinations listed in Additional file 3. For example, NF1 and fuscans strains belong to phylogenetically distant strains, thus if the Ks between strains from genetic lineages NF1 and fuscans was lower than the mean Ks between other lineages, it was indicative of recent HGT between the ancestors of NF1 and fuscans. Direction of events were assessed by comparing the Ks values for outgroups belonging to Rep-PCR groups 9.4 and 9.6 (Fig. 1). For recombinants, separate analyses were performed for each region on both sides of the recombination point.

Additional files

Additional file 1: (406.6KB, pdf)

CDS content per strain. (PDF 406 kb)

Additional file 2: (9.9MB, xlsx)

OrthoMCL matrix. (XLSX 10182 kb)

Additional file 3: (64.6KB, xlsx)

Ks analysis on 100 CDS presenting characteristics unique to CBB agents. (XLSX 64 kb)

Additional file 4: (11.5KB, xlsx)

CheckM analysis of the genomes sequenced in this study. (XLSX 11 kb)

Acknowledgements

The authors thank Sébastien Carrère for his help on genome annotations and Laurent D. Noël for sharing the genome sequence of strain CFBP6865. The authors also thank the French Network on Xanthomonads (FNX) (https://www.reseau-xantho.org/) for recurrent scientific exchanges on Xanthomonas. Authors benefited from interactions promoted by COST Action FA 1208 (https://www.cost-sustain.org). We thank the CIRM-CFBP (Beaucouzé, France) for strain preservation and supply.

Funding

The research leading to these results has received grants from the Genoscope (3X 154/AP2006-2007, XANTHOMICS 18/AP2009-2010) and the French National Research Agency (XANTHOMIX ANR-2010-GENM-013-02). LSG was funded by a postdoctoral grant from the XANTHOMIX ANR project, and another postdoctoral grant from Angers-Loire Metropole, France. MR was funded by a PhD grant from Angers-Loire Metropole, France. This work was supported by France Génomique National infrastructure, funded as part of “Investissement d’avenir” program managed by Agence Nationale pour la Recherche (contrat ANR-10-INBS-0009).

Availability of data and materials

The datasets (genome sequences) generated through various projects and used in this study have been deposited in GenBank under accession numbers listed in Table 1.

Abbreviations

CBB

Common bacterial blight of bean

CDS

Coding sequence

HGT

Horizontal gene transfer

Ks

Nucleotide synonymous substitution rate at silent sites

NF1, 2 or 3

Non-fuscous lineages 1, 2 or 3

PTI

Pattern triggered immunity (PTI)

rep-PCR

Repetitive-sequence-based Polymerase Chain Reaction

TAL

Transcription activator-like

Authors’ contributions

MAJ, LSG and NWGC designed the study. This study was partly lead by LSG during her post-doc and is part of the doctoral research of MR supervised by MAJ and NWGC. MAJ, NWGC, LG and RK obtained grants to fund the study. VB managed the genome sequencing at Genoscope. NWGC, LSG, MAJ, MB, MR, SB, AD, and VB contributed to data analyses and interpretation. NWGC, MR and MAJ wrote the manuscript with inputs from all co-authors. All authors read and approved the final version of the manuscript.

Not applicable.

Not applicable.

The authors declare that they have no competing interests.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Nicolas W. G. Chen, Email: nicolas.chen@agrocampus-ouest.fr

Laurana Serres-Giardi, Email: laurana.serresgiardi@gmail.com.

Mylène Ruh, Email: mylene.ruh@hotmail.fr.

Martial Briand, Email: martial.briand@inra.fr.

Sophie Bonneau, Email: sophie.bonneau@inra.fr.

Armelle Darrasse, Email: armelle.darrasse@inra.fr.

Valérie Barbe, Email: vbarbe@genoscope.cns.fr.

Lionel Gagnevin, Email: lionel.gagnevin@cirad.fr.

Ralf Koebnik, Email: Ralf.Koebnik@ird.fr.

Marie-Agnès Jacques, Email: marie-agnes.jacques@inra.fr.

References

  • 1.Bäumler A, Fang FC. Host specificity of bacterial pathogens. Cold Spring Harb Perspect Med. 2013;3:a010041. Available from: http://perspectivesinmedicine.cshlp.org/content/3/12/a010041. [DOI] [PMC free article] [PubMed]
  • 2.Büttner D, Bonas U. Regulation and secretion of Xanthomonas virulence factors. FEMS Microbiol Rev. 2010;34:107–33. [DOI] [PubMed]
  • 3.Jacques M-A, Arlat M, Boulanger A, Boureau T, Carrère S, Cesbron S, et al. Using ecology, physiology, and genomics to understand host specificity in Xanthomonas: French Network on Xanthomonads (FNX) Annu Rev Phytopathol. 2016;54:163–187. doi: 10.1146/annurev-phyto-080615-100147. [DOI] [PubMed] [Google Scholar]
  • 4.Hayward AC. Xanthomonas. 1993. The hosts of Xanthomonas; pp. 1–119. [Google Scholar]
  • 5.Dye DW, Bradbury JF, Goto M, Hayward AC, Lelliott RA, Schroth MN. International standards for naming pathovars of phytopathogenic bacteria and a list of pathovar names and pathotype strains. Rev Plant Pathol. 1980;59:153–159. [Google Scholar]
  • 6.Mhedbi-Hajri N, Darrasse A, Pigné S, Durand K, Fouteau S, Barbe V, et al. Sensing and adhesion are adaptive functions in the plant pathogenic xanthomonads. BMC Evol Biol. 2011;11:67. doi: 10.1186/1471-2148-11-67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hajri A, Brin C, Hunault G, Lardeux F, Lemaire C, Manceau C, et al. A «repertoire for repertoire» hypothesis: repertoires of type three effectors are candidate determinants of host specificity in Xanthomonas. PLoS One. 2009;4:e6632. [DOI] [PMC free article] [PubMed]
  • 8.Schwartz AR, Potnis N, Timilsina S, Wilson M, Patané J, Martins J, et al. Phylogenomics of Xanthomonas field strains infecting pepper and tomato reveals diversity in effector repertoires and identifies determinants of host specificity. Front Microbiol. 2015;6:535. [DOI] [PMC free article] [PubMed]
  • 9.Vauterin L, Hoste B, Kersters K, Swings J. Reclassification of Xanthomonas. Int J Syst Bacteriol. 1995;45:472–489. doi: 10.1099/00207713-45-3-472. [DOI] [Google Scholar]
  • 10.Vauterin L, Rademaker J, Swings J. Synopsis on the taxonomy of the genus Xanthomonas. Phytopathology. 2000;90:677–682. doi: 10.1094/PHYTO.2000.90.7.677. [DOI] [PubMed] [Google Scholar]
  • 11.Rademaker JLW, Louws FJ, Schultz MH, Rossbach U, Vauterin L, Swings J, et al. A comprehensive species to strain taxonomic framework for Xanthomonas. Phytopathology. 2005;95:1098–1111. [DOI] [PubMed]
  • 12.Constantin EC, Cleenwerck I, Maes M, Baeyen S, Van Malderghem C, De Vos P, et al. Genetic characterization of strains named as Xanthomonas axonopodis pv. dieffenbachiae leads to a taxonomic revision of the X. axonopodis species complex. Plant Pathol. 2016;65:792–806. doi: 10.1111/ppa.12461. [DOI] [Google Scholar]
  • 13.Oren A, Garrity GM. Notification of changes in taxonomic opinion previously published outside the IJSEM. Int J Syst Evol Microbiol. 2017;67:2081–2086. doi: 10.1099/ijsem.0.002071. [DOI] [PubMed] [Google Scholar]
  • 14.EFSA PLH Panel (EFSA Panel on Plant Health) Scientific opinion on the pest categorisation of Spodoptera littoralis. EFSA J. 2015;13:3987. doi: 10.2903/j.efsa.2015.3987. [DOI] [Google Scholar]
  • 15.Belete T, Bastas K. Common Bacterial Blight (Xanthomonas axonopodis pv. phaseoli) of Beans with Special Focus on Ethiopian Condition. J Plant Pathol Microbiol. 2017;8:403. Available from: https://www.omicsonline.org/open-access/common-bacterial-blight-xanthomonas-axonopodis-pv-phaseoli-of-beans-with-special-focus-on-ethiopian-condition-2157-7471-1000403.php?aid=87779.
  • 16.Alavi SM, Sanjari S, Durand F, Brin C, Manceau C, Poussier S. Assessment of the genetic diversity of Xanthomonas axonopodis pv. phaseoli and Xanthomonas fuscans subsp. fuscans as a basis to identify putative pathogenicity genes and a type III secretion system of the SPI-1 family by multiple suppression subtractive h. Appl Environ Microbiol. 2008;74:3295–3301. doi: 10.1128/AEM.02507-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Aritua V, Harrison J, Sapp M, Buruchara R, Smith J, Studholme DJ. Genome sequencing reveals a new lineage associated with lablab bean and genetic exchange between Xanthomonas axonopodis pv. phaseoli and Xanthomonas fuscans subsp. fuscans. Front Microbiol. 2015;6:1–18. doi: 10.3389/fmicb.2015.01080. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ruh M, Briand M, Bonneau S, Jacques M-A, Chen NWG. Xanthomonas adaptation to common bean is associated with horizontal transfers of genes encoding TAL effectors. BMC Genomics. 2017;18:670. doi: 10.1186/s12864-017-4087-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Simpson AJG, Reinach FC, Arruda P, Abreu FA, Acencio M, Alvarenga R, et al. The genome sequence of the plant pathogen Xylella fastidiosa. Nature. 2000;406:151–159. doi: 10.1038/35018003. [DOI] [PubMed] [Google Scholar]
  • 20.van Sluys MA, de Oliveira MC, Miyaki CY, Furlan LR, Camargo LEA, Silva ACR, et al. Comparative analyses of the complete genome sequences of Pierce’s disease and citrus variegated chlorosis strains of Xylella fastidiosa. J Bacteriol. 2003;185:1018–26. [DOI] [PMC free article] [PubMed]
  • 21.Taghavi S, Garafola C, Monchy S, Newman L, Hoffman A, Weyens N, Barac T, et al. Genome survey and characterization of endophytic bacteria exhibiting a beneficial effect on growth and development of poplar trees. Appl Environ Microbiol. 2009;75:748–57. [DOI] [PMC free article] [PubMed]
  • 22.Jacques M-A, Arlat M, Boulanger A, Boureau T, Carrère S, Cesbron S, et al. Using ecology, physiology, and genomics to understand host specificity in Xanthomonas. Annu Rev Phytopathol. 2016;54:163–187. doi: 10.1146/annurev-phyto-080615-100147. [DOI] [PubMed] [Google Scholar]
  • 23.Mhedbi-Hajri N, Hajri A, Boureau T, Darrasse A, Durand K, Brin C, et al. Evolutionary history of the plant pathogenic bacterium Xanthomonas axonopodis. PLoS One. 2013;8:e58474. [DOI] [PMC free article] [PubMed]
  • 24.Young JM, Park DC, Shearman HM, Fargier E. A multilocus sequence analysis of the genus Xanthomonas. Syst Appl Microbiol. 2008;31:366–377. doi: 10.1016/j.syapm.2008.06.004. [DOI] [PubMed] [Google Scholar]
  • 25.Briand M, Gaborieau R, Jacques M-A, Barret M, Boureau T, Gaillard S, et al. SkIf: a tool for rapid identification of genes or regulators of interest [version 1; not peer reviewed] F1000Res. 2016;5:1593. [Google Scholar]
  • 26.Darrasse A, Bolot S, Serres-Giardi L, Charbit E, Boureau T, Saux MF-L, et al. High-quality draft genome sequences of Xanthomonas axonopodis pv. glycines strains CFBP 2526 and CFBP 7119. Genome Announc. 2013;1:e01036–e01013. doi: 10.1128/genomeA.01036-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Ochman H, Elwyn S, Moran NA. Calibrating bacterial evolution. Proc Natl Acad Sci U S A. 1999;96:12638–12643. Available from: http://www.pnas.org/content/96/22/12638. [DOI] [PMC free article] [PubMed]
  • 28.Kuo C-H, Ochman H. Inferring clocks when lacking rocks: the variable rates of molecular evolution in bacteria. Biol Direct. 2009;4:35. doi: 10.1186/1745-6150-4-35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ravenhall M, Nives Š, Lassalle F, Dessimoz C. Inferring horizontal gene transfer. 2015. pp. 1–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Zaumeyer WJ. The bacterial blight of beans caused by Bacterium phaseoli. Washington: United States Department of Agriculture; 1930.
  • 31.Burkholder WH. The bacterial diseases of the bean: a comparative study. 1930. [Google Scholar]
  • 32.Birch PRJ, Hyman LJ, Taylor R, Opio AF, Bragard C, Toth IK. RAPD PCR-based differentiation of Xanthomonas campestris pv. Phaseoli and Xanthomonas campestris pv. phaseoli var. fuscans. Eur J Plant Pathol. 1997;103:809–814. doi: 10.1023/A:1008698726790. [DOI] [Google Scholar]
  • 33.Chan JWYF, Goodwin PH. Differentiation of Xanthomonas campestris pv. phaseoli from Xanthomonas campestris pv. phaseoli var. fuscans by PFGE and RFLP. Eur J Plant Pathol. 1999;105:867–878. doi: 10.1023/A:1008785809368. [DOI] [Google Scholar]
  • 34.Lazo GR, Gabriel DW. Conservation of plasmid DNA sequences and pathovar identification of strains of Xanthomonas campestris. Phytopathology. 1987;77:448–53.
  • 35.Mkandawire ABC, Mabagala RB, Guzmán P, Gepts P, Gilbertson RL. Genetic diversity and pathogenic variation of common blight bacteria (Xanthomonas campestris pv. phaseoli and X. campestris pv. phaseoli var. fuscans) suggests pathogen coevolution with the common bean. Phytopathology. 2004;94:593–603. [DOI] [PubMed]
  • 36.Audy P, Laroche A, Saindon G, Huang HC, Gilbertson RL. Detection of the bean common blight bacteria, Xanthomonas campestris pv. phaseoli and X. c. phaseoli var. fuscans, using the polymerase chain reaction. Mol Plant Pathol. 1994;84:1185–92.
  • 37.Grimault V, Olivier V, Rolland M, Darrasse A, Jacques MA. Seed health testing methods. 7-021: Detection of Xanthomonas axonopodis pv. phaseoli on Phaseolus vulgaris. ISTA Int rules seed testing Annex to Chapter 7 Seed Heal methods 7-021 Int Seed Test Assoc Basserdorf, Switzerland, 1–20. 2014.
  • 38.Fronzes R, Christie PJ, Waksmas G. The structural biology of type IV secretion systems. Nat Rev Microbiol. 2009;7:703–714. doi: 10.1038/nrmicro2218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Wallden K, Rivera-Calzada A, Waksman G. Type IV secretion systems: versatility and diversity in function. Cell Microbiol. 2010;12:1203–1212. doi: 10.1111/j.1462-5822.2010.01499.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Noël L, Thieme F, Nennstiel D, Bonas U. Two novel type III-secreted proteins of Xanthomonas campestris pv. vesicatoria are encoded within the hrp pathogenicity island. J Bacteriol. 2002;184:1340–1348. doi: 10.1128/JB.184.5.1340-1348.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Hausner J, Hartmann N, Jordan M, Büttner D. The predicted lytic transglycosylase HpaH from xanthomonas campestris pv. vesicatoria associates with the Type III secretion system and promotes effector protein translocation. Infect Immun. 2017;85:1–18. [DOI] [PMC free article] [PubMed]
  • 42.Teper D, Burstein D, Salomon D, Gershovitz M, Pupko T, Sessa G. Identification of novel Xanthomonas euvesicatoria type III effector proteins by a machine-learning approach. Mol Plant Pathol. 2016;17:398–411. doi: 10.1111/mpp.12288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Escalon A, Javegny S, Vernière C, Noël LD, Vital K, Poussier S, et al. Variations in type III effector repertoires, pathological phenotypes and host range of Xanthomonas citri pv. citri pathotypes. Mol Plant Pathol. 2013;14:483–496. doi: 10.1111/mpp.12019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Hersemann L, Wibberg D, Blom J, Goesmann A, Widmer F, Vorholter F-J, et al. Comparative genomics of host adaptive traits in Xanthomonas translucens pv. graminis. BMC Genomics. 2017;18:35. doi: 10.1186/s12864-016-3422-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Barak JD, Vancheva T, Lefeuvre P, Jones JB, Timilsina S, Minsavage GV, et al. Whole-genome sequences of Xanthomonas euvesicatoria strains clarify taxonomy and reveal a stepwise erosion of type 3 effectors. Front Plant Sci. 2016;7:1805. doi: 10.3389/fpls.2016.01805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Baltrus DA, Nishimura MT, Romanchuk A, Chang JH, Mukhtar MS, Cherkis K, et al. Dynamic evolution of pathogenicity revealed by sequencing and comparative genomics of 19 pseudomonas syringae isolates. PLoS Pathog. 2011;7:e1002132. [DOI] [PMC free article] [PubMed]
  • 47.Newell PD, Boyd CD, Sondermann H, O’Toole GA. A c-di-GMP effector system controls cell adhesion by inside-out signaling and surface protein cleavage. PLoS Biol. 2011;9:e1000587. doi: 10.1371/journal.pbio.1000587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Su J, Zou X, Huang L, Bai T, Liu S, Yuan M, et al. DgcA, a diguanylate cyclase from Xanthomonas oryzae pv. oryzae regulates bacterial pathogenicity on rice. Sci Rep. 2016;6:25978. doi: 10.1038/srep25978. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Blanvillain S, Meyer D, Boulanger A, Lautier M, Guynet C, Denancé N, et al. Plant carbohydrate scavenging through TonB-dependent receptors: a feature shared by phytopathogenic and aquatic bacteria. PLoS One. 2007;2:e224. [DOI] [PMC free article] [PubMed]
  • 50.Guo W, Cui YP, Li YR, Che YZ, Yuan L, Zou LF, et al. Identification of seven Xanthomonas oryzae pv. oryzicola genes potentially involved in pathogenesis in rice. Microbiology. 2012;158:505–518. doi: 10.1099/mic.0.050419-0. [DOI] [PubMed] [Google Scholar]
  • 51.Solé M, Scheibner F, Hoffmeister AK, Hartmann N, Hause G, Rother A, et al. Xanthomonas campestris pv. vesicatoria secretes proteases and xylanases via the Xps type II secretion system and outer membrane vesicles. J Bacteriol. 2015;197:2879–2893. doi: 10.1128/JB.00322-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Records AR, Gross DC. Sensor kinases RetS and LadS regulate Pseudomonas syringae type VI secretion and virulence factors. J Bacteriol. 2010;192:3584–3596. doi: 10.1128/JB.00114-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Alteri CJ, Mobley HLT. The versatile type VI secretion system. Microbiol Spectr. 2016;4:1–26. [DOI] [PMC free article] [PubMed]
  • 54.Xie G, Bonner CA, Brettin T, Gottardo R, Keyhani NO, Jensen RA. Lateral gene transfer and ancient paralogy of operons containing redundant copies of tryptophan-pathway genes in Xylella species and in heterocystous cyanobacteria. Genome Biol. 2003;4:R14. doi: 10.1186/gb-2003-4-2-r14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Hashimi H, Zíková A, Panigrahi AK, Stuart KD, Lukeš J. TbRGG1, an essential protein involved in kinetoplastid RNA metabolism that is associated with a novel multiprotein complex. RNA. 2008;14:970–980. doi: 10.1261/rna.888808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Soucy SM, Huang J, Gogarten JP. Horizontal gene transfer: building the web of life. Nat Rev Genet. 2015;16:472–482. doi: 10.1038/nrg3962. [DOI] [PubMed] [Google Scholar]
  • 57.Koskiniemi S, Sun S, Berg OG, Andersson DI. Selection-driven gene loss in bacteria. PLoS Genet. 2012;8:1–7. doi: 10.1371/journal.pgen.1002787. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Klotz LC, Zimm BH. Size of DNA determined by viscoelastic measurements: results on bacteriophages, Bacillus subtilis and Escherichia coti. J Mol Biol. 1972;72:779–800. doi: 10.1016/0022-2836(72)90191-X. [DOI] [PubMed] [Google Scholar]
  • 59.Li R, Zhu H, Ruan J, Qian W, Fang X, Shi Z, et al. De novo assembly of human genomes with massively parallel short read sequencing. Genome Res. 2010;20:265–272. doi: 10.1101/gr.097261.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Luo R, Liu B, Xie Y, Li Z, Huang W, Yuan J, et al. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Gigascience. 2012;1:18. doi: 10.1186/2047-217X-1-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Zerbino DR, Birney E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 2008;18:821–829. doi: 10.1101/gr.074492.107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. 2015;25:1043–55. [DOI] [PMC free article] [PubMed]
  • 63.Sallet E, Gouzy J, Schiex T. EuGene-PP: a next-generation automated annotation pipeline for prokaryotic genomes. Bioinformatics. 2014;30:2659–2661. doi: 10.1093/bioinformatics/btu366. [DOI] [PubMed] [Google Scholar]
  • 64.Quevillon E, Silventoinen V, Pillai S, Harte N, Mulder N, Apweiler R, et al. InterProScan: protein domains identifier. Nucleic Acids Res. 2005;33:116–120. doi: 10.1093/nar/gki442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Li L, Stoeckert CJ, Roos DS. OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 2003;13:2178–2189. doi: 10.1101/gr.1224503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Qi J, Luo H, Hao B. CVTree: a phylogenetic tree reconstruction tool based on whole genomes. Nucleic Acids Res. 2004;32:45–47. doi: 10.1093/nar/gkh362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Paradis E, Claude J, Strimmer K. APE: analyses of phylogenetics and evolution in R language. Bioinformatics. 2004;20:289–290. doi: 10.1093/bioinformatics/btg412. [DOI] [PubMed] [Google Scholar]
  • 68.Katoh K, Kuma KI, Toh H, Miyata T. MAFFT version 5: Improvement in accuracy of multiple sequence alignment. Nucleic Acids Res. 2005;33:511–518. doi: 10.1093/nar/gki198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Martin DP, Murrell B, Golden M, Khoosal A, Muhire B. RDP4: detection and analysis of recombination patterns in virus genomes. Virus Evol. 2015;1:1–5. doi: 10.1093/ve/vev003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Martin D, Rybicki E. RDP: detection of recombination amongst aligned sequences. Bioinformatics. 2000;16:562–563. doi: 10.1093/bioinformatics/16.6.562. [DOI] [PubMed] [Google Scholar]
  • 71.Padidam M, Sawyer S, Fauquet CM. Possible emergence of new geminiviruses by frequent recombination. Virology. 1999;265:218–225. doi: 10.1006/viro.1999.0056. [DOI] [PubMed] [Google Scholar]
  • 72.Smith JM. Analyzing the mosaic structure of genes. J Mol Evol. 1992;34:126–129. doi: 10.1007/BF00182389. [DOI] [PubMed] [Google Scholar]
  • 73.Posada D, Crandall KA. Evaluation of methods for detecting recombination from DNA sequences: computer simulations. Proc Natl Acad Sci. 2001;98:13757–13762. doi: 10.1073/pnas.241370698. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Martin DP, Posada D, Crandall KA, Williamson C. A modified bootscan algorithm for automated identification of recombinant sequences and recombination breakpoints. AIDS Res Hum Retrovir. 2005;21:98–102. doi: 10.1089/aid.2005.21.98. [DOI] [PubMed] [Google Scholar]
  • 75.Boni MF, Posada D, Feldman MW. An exact nonparametric method for inferring mosaic structure in sequence triplets. Genetics. 2007;176:1035–1047. doi: 10.1534/genetics.106.068874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Librado P, Rozas J. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009;25:1451–1452. doi: 10.1093/bioinformatics/btp187. [DOI] [PubMed] [Google Scholar]
  • 77.Pieretti I, Royer M, Barbe V, Carrere S, Koebnik R, Cociancich S, et al. The complete genome sequence of Xanthomonas albilineans provides new insights into the reductive genome evolution of the xylem-limited Xanthomonadaceae. BMC Genomics. 2009;15:1–15. doi: 10.1186/1471-2164-10-616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Roux B, Bolot S, Guy E, Denancé N, Lautier M, Jardinaud M-F, et al. Genomics and transcriptomics of Xanthomonas campestris species challenge the concept of core type III effectome. BMC Genomics [Internet]. BMC Genomics. 2015;16:975. Available from: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-015-2190-0. [DOI] [PMC free article] [PubMed]
  • 79.Qian W, Jia Y, Ren S, He Y, Feng J, Lu L, et al. Comparative and functional genomic analyses of the pathogenicity of phytopathogen Xanthomonas campestris pv. campestris. Genome Res. 2005;757–67. [DOI] [PMC free article] [PubMed]
  • 80.da Silva ACR, Ferro JA, Reinach FC, Farah CS, Furlan LR, Quaggio RB, et al. Comparison of the genomes of two Xanthomonas pathogens with differing host specificities. Nature. 2002;417:459–63. doi: 10.1038/417459a. [DOI] [PubMed] [Google Scholar]
  • 81.Vorhölter F-J, Schneiker S, Goesmann A, Krause L, Bekel T, Kaiser O, et al. The genome of Xanthomonas campestris pv. campestris B100 and its use for the reconstruction of metabolic pathways involved in xanthan biosynthesis. J Biotechnol. 2008;134:33–45. [DOI] [PubMed]
  • 82.Studholme DJ, Kemen E, MacLean D, Schornack S, Aritua V, Thwaites R, et al. Genome-wide sequencing data reveals virulence factors implicated in banana Xanthomonas wilt. FEMS Microbiol Lett. 2018;2:182–92. doi: 10.1111/j.1574-6968.2010.02065.x. [DOI] [PubMed] [Google Scholar]
  • 83.Bogdanove AJ, Koebnik R, Lu H, Furutani A, Angiuoli SV, Patil PB, et al. Two New Complete Genome Sequences Offer Insight into Host and Tissue Specificity of Plant Pathogenic Xanthomonas spp. J Bacteriol. 2011;193:5450–64. doi: 10.1128/JB.05262-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Bolot S, Guy E, Carrere S, Barbe V, Arlat M, Noël LD. Genome Sequence of Xanthomonas campestris pv. campestris Strain Xca5. Genome Announc [Internet]. 2013;1:32–3. Available from: http://genomea.asm.org/cgi/doi/10.1128/genomeA.00032-12. [DOI] [PMC free article] [PubMed]
  • 85.Moreira LM, Almeida NF, Potnis N, Digiampietri LA, Adi SS, Bortolossi JC, et al. Novel insights into the genomic basis of citrus canker based on the genome sequences of two strains of Xanthomonas fuscans subsp. aurantifolii. BMC Genomics. 2010;11. [DOI] [PMC free article] [PubMed]
  • 86.Gordon JL, Lefeuvre P, Escalon A, Barbe V, Cruveiller S, Gagnevin L, et al. Comparative genomics of 43 strains of Xanthomonas citri pv. citri reveals the evolutionary events giving rise to pathotypes with different host ranges. BMC Genomics [Internet]. BMC Genomics; 2015;16. Available from: 10.1186/s12864-015-2310-x. [DOI] [PMC free article] [PubMed]
  • 87.Cunnac S, Bolot S, Serna F, Ortiz E, Szurek B, Noël LD, et al. High-Quality Draft Genome Sequences of Two Xanthomonas citri pv. malvacearum Strains. Genome Announc. 2013;1:4–5. doi: 10.1128/genomeA.00674-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Midha S, Ranjan M, Sharma V, Pinnaka AK, Patil PB. Genome sequence of xanthomonas citri pv. Mangiferaeindicae strain LMG 941. J Bacteriol. 2012;194:3031. [DOI] [PMC free article] [PubMed]
  • 89.Gagnevin L, Bolot S, Gordon JL, Pruvost O, Vernière C, Robène I, et al. Draft Genome Sequence of Xanthomonas axonopodis pv. allii Strain CFBP 6369. Genome Announc [Internet]. 2014;2:e00727-14. Available from: http://genomea.asm.org/content/2/4/e00727-14.full. [DOI] [PMC free article] [PubMed]
  • 90.Jalan N, Aritua V, Kumar D, Yu F, Jones JB, Graham JH, et al. Comparative genomic analysis of Xanthomonas axonopodis pv. citrumelo F1, which causes citrus bacterial spot disease, and related strains provides insights into virulence and host specificity. J Bacteriol. 2011;193:6342–57. doi: 10.1128/JB.05777-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Thieme F, Koebnik R, Bekel T, Berger C, Boch J, Büttner D, et al. Insights into Genome Plasticity and Pathogenicity of the Plant Pathogenic Bacterium Xanthomonas campestris pv. vesicatoria Revealed by the Complete Genome Sequence Insights into Genome Plasticity and Pathogenicity of the Plant Pathogenic Bacterium. J Bacteriol. 2005;187:7254–66. doi: 10.1128/JB.187.21.7254-7266.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Potnis N, Krasileva K, Chow V, Almeida NF, Patil PB, Ryan RP, et al. Comparative genomics reveals diversity among xanthomonads infecting tomato and pepper. BMC Genomics [Internet]. BioMed Central Ltd; 2011;12:146. Available from: http://www.biomedcentral.com/1471-2164/12/146. [DOI] [PMC free article] [PubMed]
  • 93.Kimbrel JA, Givan SA, Temple TN, Johnson KB, Chang JH. Genome sequencing and comparative analysis of the carrot bacterial blight pathogen, Xanthomonas hortorum pv. carotae M081, for insights into pathogenicity and applications in molecular diagnostics. Mol Plant Pathol. 2011;12:580–94. doi: 10.1111/j.1364-3703.2010.00694.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Lee BM, Park YJ, Park DS, Kang HW, Kim JG, Song ES, et al. The genome sequence of Xanthomonas oryzae pathovar oryzae KACC10331, the bacterial blight pathogen of rice. Nucleic Acids Res. 2005;33:577–86. doi: 10.1093/nar/gki206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Salzberg SL, Sommer DD, Schatz MC, Phillippy AM, Rabinowicz PD, Tsuge S, et al. Genome sequence and rapid evolution of the rice pathogen Xanthomonas oryzae pv. oryzae PXO99A. BMC Genomics. 2008;9:1–16. doi: 10.1186/1471-2164-9-534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Robène I, Bolot S, Pruvost O, Arlat M, Noël LD, Carrère S, et al. High-Quality Draft Genome Sequences of Two Xanthomonas Pathotype Strains Infecting Aroid Plants. 2016;4:5–6. doi: 10.1128/genomeA.00902-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Rodriguez-R LM, Grajales A, Arrieta-Ortiz ML, Salazar C, Restrepo S, Bernal A. Genomes-based phylogeny of the genus Xanthomonas. BMC Microbiol [Internet]. BioMed Central Ltd; 2012;12:43. Available from: https://bmcmicrobiol.biomedcentral.com/articles/10.1186/1471-2180-12-43. [DOI] [PMC free article] [PubMed]
  • 98.Studholme DJ, Wasukira A, Paszkiewicz K, Aritua V, Thwaites R, Smith J, et al. Draft genome sequences of xanthomonas sacchari and two banana-associated xanthomonads reveal insights into the xanthomonas group 1 clade. Genes (Basel). 2011;2:1050–65. [DOI] [PMC free article] [PubMed]
  • 99.Pesce C, Bolot S, Cunnac S, Portier P, Fisher-Le Saux M, Jacques M-A, et al. High-Quality Draft Genome Sequence of the Xanthomonas translucens pv. cerealis Pathotype Strain CFBP 2541. Genome Announc. 2015;3:1–2. doi: 10.1128/genomeA.01574-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Pesce C, Bolot S, Berthelot E, Bragard C, Cunnac S, Fischer-Le Saux M, et al. Draft Genome Sequence of Xanthomonas translucens pv. graminis Pathotype Strain CFBP 2053. Genome Announc [Internet]. 2015b;3:15–7. Available from: https://mra.asm.org/content/3/5/e01174-15. [DOI] [PMC free article] [PubMed]
  • 101.Wichmann F, Vorhölter FJ, Hersemann L, Widmer F, Blom J, Niehaus K, et al. The noncanonical type III secretion system of Xanthomonas translucens pv. graminis is essential for forage grass infection. Mol Plant Pathol. 2013;14:576–88. doi: 10.1111/mpp.12030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.van Sluys MA, de Oliveira MC, Monteiro-Vitorello CB, Miyaki CY, Furlan LR, Camargo LEA, et al. Comparative Analyses of the Complete Genome Sequences of Pierce ’ s Disease and Citrus Variegated Chlorosis Strains of Xylella fastidiosa. J Bacteriol [Internet]. 2003;185:1018–26. Available from: http://jb.asm.org/cgi/doi/10.1128/JB.185.3.1018-1026.2003. [DOI] [PMC free article] [PubMed]
  • 103.Rademaker JLW, Hoste B, Louws FJ, Kersters K, Swings J, Vauterin L, et al. Comparison of AFLP and rep-PCR genomic fingerprinting with DNA – DNA homology studies: Xanthomonas as a model system. Int J Syst Evol Microbiol. 2000;50:665–677. doi: 10.1099/00207713-50-2-665. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1: (406.6KB, pdf)

CDS content per strain. (PDF 406 kb)

Additional file 2: (9.9MB, xlsx)

OrthoMCL matrix. (XLSX 10182 kb)

Additional file 3: (64.6KB, xlsx)

Ks analysis on 100 CDS presenting characteristics unique to CBB agents. (XLSX 64 kb)

Additional file 4: (11.5KB, xlsx)

CheckM analysis of the genomes sequenced in this study. (XLSX 11 kb)

Data Availability Statement

The datasets (genome sequences) generated through various projects and used in this study have been deposited in GenBank under accession numbers listed in Table 1.


Articles from BMC Genomics are provided here courtesy of BMC

RESOURCES