Molecular and Biochemical Characterization of the Protein Template Controlling Biosynthesis of the Lipopeptide Lichenysin

Lichenysins are surface-active lipopeptides with antibiotic properties produced nonribosomally by several strains of Bacillus licheniformis. Here, we report the cloning and sequencing of an entire 26.6-kb lichenysin biosynthesis operon from B. licheniformis ATCC 10716. Three large open reading frames coding for peptide synthetases, designated licA, licB (three modules each), and licC (one module), could be detected, followed by a gene, licTE, coding for a thioesterase-like protein. The domain structure of the seven identified modules, which resembles that of the surfactin synthetases SrfA-A to -C, showed two epimerization domains attached to the third and sixth modules. The substrate specificity of the first, fifth, and seventh recombinant adenylation domains of LicA to -C (cloned and expressed in Escherichia coli) was determined to be Gln, Asp, and Ile (with minor Val and Leu substitutions), respectively. Therefore, we suppose that the identified biosynthesis operon is responsible for the production of a lichenysin variant with the primary amino acid sequence l-Gln–l-Leu–d-Leu–l-Val–l-Asp–d-Leu–l-Ile, with minor Leu and Val substitutions at the seventh position.Many strains of Bacillus are known to produce lipopeptides with remarkable surface-active properties (11). The most prominent of these powerful lipopeptides is surfactin from Bacillus subtilis (1). Surfactin is an acylated cyclic heptapeptide that reduces the surface tension of water from 72 to 27 mN m⁻¹ even in a concentration below 0.05% and shows some antibacterial and antifungal activities (1). Some B. subtilis strains are also known to produce other, structurally related lipoheptapeptides (Table ​(Table1),1), like iturin (32, 34) and bacillomycin (3, 27, 30), or the lipodecapeptides fengycin (50) and plipastatin (29).

TABLE 1

Lipoheptapeptide antibiotics of Bacillus spp.

Hepatitis C Virus (HCV) Sequence Variation Induces an HCV-Specific T-Cell Phenotype Analogous to Spontaneous Resolution

Hepatitis C virus (HCV)-specific CD8⁺ T cells in persistent HCV infection are low in frequency and paradoxically show a phenotype associated with controlled infections, expressing the memory marker CD127. We addressed to what extent this phenotype is dependent on the presence of cognate antigen. We analyzed virus-specific responses in acute and chronic HCV infections and sequenced autologous virus. We show that CD127 expression is associated with decreased antigenic stimulation after either viral clearance or viral variation. Our data indicate that most CD8 T-cell responses in chronic HCV infection do not target the circulating virus and that the appearance of HCV-specific CD127⁺ T cells is driven by viral variation.Hepatitis C virus (HCV) persists in the majority of acutely infected individuals, potentially leading to chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma. The cellular immune response has been shown to play a significant role in viral control and protection from liver disease. Phenotypic and functional studies of virus-specific T cells have attempted to define the determinants of a successful versus an unsuccessful T-cell response in viral infections (10). So far these studies have failed to identify consistent distinguishing features between a T-cell response that results in self-limiting versus chronic HCV infection; similarly, the impact of viral persistence on HCV-specific memory T-cell formation is poorly understood.Interleukin-7 (IL-7) receptor alpha chain (CD127) is a key molecule associated with the maintenance of memory T-cell populations. Expression of CD127 on CD8 T cells is typically only observed when the respective antigen is controlled and in the presence of significant CD4⁺ T-cell help (9). Accordingly, cells specific for persistent viruses (e.g., HIV, cytomegalovirus [CMV], and Epstein-Barr virus [EBV]) have been shown to express low levels of CD127 (6, 12, 14) and to be dependent on antigen restimulation for their maintenance. In contrast, T cells specific for acute resolving virus infections, such as influenza virus, respiratory syncytial virus (RSV), hepatitis B virus (HBV), and vaccinia virus typically acquire expression of CD127 rapidly with the control of viremia (5, 12, 14). Results for HCV have been inconclusive. The expected increase in CD127 levels in acute resolving but not acute persisting infection has been found, while a substantial proportion of cells with high CD127 expression have been observed in long-established chronic infection (2). We tried to reconcile these observations by studying both subjects with acute and chronic HCV infection and identified the presence of antigen as the determinant of CD127 expression.Using HLA-peptide multimers we analyzed CD8⁺ HCV-specific T-cell responses and CD127 expression levels in acute and chronic HCV infection. We assessed a cohort of 18 chronically infected subjects as well as 9 individuals with previously resolved infection. In addition, we longitudinally studied 9 acutely infected subjects (5 individuals who resolved infection spontaneously and 4 individuals who remain chronically infected) (Tables ​(Tables11 and ​and2).2). Informed consent in writing was obtained from each patient, and the study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki, as reflected in a priori approval from the local institutional review boards. HLA-multimeric complexes were obtained commercially from Proimmune (Oxford, United Kingdom) and Beckman Coulter (CA). The staining and analysis procedure was as described previously (10). Peripheral blood mononuclear cells (PBMCs) were stained with the following antibodies: CD3 from Caltag; CD8, CD27, CCR7, CD127, and CD38 from BD Pharmingen; and PD-1 (kindly provided by Gordon Freeman). Primer sets were designed for different genotypes based on alignments of all available sequences from the public HCV database (http://hcvpub.ibcp.fr). Sequence analysis was performed as previously described (8).

TABLE 1.

Patient information and autologous sequence analysis for patients with chronic and resolved HCV infection

Clade-Specific Evolution Mediated by HLA-B*57/5801 in Human Immunodeficiency Virus Type 1 Clade A1 p24

HLA-B*57-mediated selection pressure leads to a typical escape pathway in human immunodeficiency virus type 1 (HIV-1) CD8 epitopes such as TW10. Whether this T242N pathway is shared by all clades remains unknown. We therefore assessed the nature of HLA-B*57 selection in a large, observational Kenyan cohort where clades A1 and D predominate. While T242N was ubiquitous in clade D HLA-B*57⁺ subjects, this mutation was rare (15%) in clade A1. Instead, P243T and I247L were selected by clade A1-infected HLA-B*57 subjects but not by HLA-B*5801⁺ subjects. Our data suggest that clade A1 consensus proline at Gag residue 243 might represent an inherent block to T242N escape in clade A1. We confirmed immunologically that P243T and I247L likely represent escape mutations. HLA-B*57 evolution also differed between clades in the KF11 and IW9 epitopes. A better understanding of clade-specific evolution is important for the development of HIV vaccines in regions with multiple clades.Human immunodeficiency virus type 1 (HIV-1) displays extreme genetic diversity, with nine clades (subtypes) described in group M, and frequent genomic recombination among and within the clades (7, 44). HIV is also capable of rapid evolution, which can lead to mutational escape from immune control (43). Escape from CD8⁺ T-cell responses occurs frequently in HIV-1 infection through mutations that affect epitope processing, HLA class I binding, and/or T-cell receptor recognition (23). In early HIV-1 infection, the majority of amino acid substitutions are associated HLA class I alleles (1). The timing and consequences of mutational escape from CD8⁺ T-cell responses vary considerably (8, 22).HLA-B*57, and to a lesser extent HLA-B*5801, has been associated with slower progression to AIDS in several studies (18, 27, 39), and HLA-B*5701 was associated with a lower viremia set point in a genome-wide association study (16). Several attributes of HLA-B*57-restricted CD8⁺ T-cell responses may contribute to their protectiveness, including dominant responses in acute infection (2), recognition of protective epitopes in HIV-1 p24 (33), better recognition of epitope variation (45), and retention of proliferative capability in chronic infection (24).HLA-B*57/5801 also exert powerful selection pressure on HIV to avoid CD8⁺ T-cell recognition. This was first demonstrated in the HLA-B*57-restricted TW10 epitope (TSTLQEQIGW [Gag_240-249]), which accounts for >30% of overall HIV-specific CD8⁺ T-cell responses in acutely infected HLA-B*57⁺ subjects (3). Escape in this epitope usually occurs early in infection, which coincidently is when HLA-B*57 is most protective (18). In clade B and C infections, >75 to 100% of HLA-B*57/5801⁺ subjects develop the T242N escape mutation, while HLA-B*57/5701-negative subjects rarely display polymorphism at this residue (5, 9, 10, 15, 32, 35, 38, 41). When T242N is transmitted to HLA-B*57/5801-negative subjects, it rapidly reverts to the consensus, suggesting that T242N is associated with a fitness defect (32, 35).While CD8⁺ T-cell cross-clade recognition has been tested extensively (6, 11, 19, 36, 48), few studies have addressed the possibility of clade-specific escape from CD8⁺ T-cell responses. This may be especially relevant where clade consensus sequences differ in immunologically relevant epitopes. Here we demonstrate in a large Kenyan cohort substantial differences in HLA-B*57/B*5801-mediated selection among HIV clades.Participants were enrolled from a Nairobi, Kenya-based cohort, and the relevant ethical review boards approved the study. HLA typing was performed as described previously (34). CD4 counts were measured longitudinally at biannual visits. Multiple and other clade infections were excluded. The HIV-1 p24 gene was amplified from proviral HIV DNA or RNA using a nested PCR approach and sequenced, and viral subtyping was carried out as described previously (42). Previously described HLA-B*57 epitopes IW9 (ISPRTLNAW), KF11 (KAFSPEVIPMF), and TW10 (TSTLQEQIGW) and selected variants were tested in immunological assays and described where relevant. Gamma interferon enzyme-linked immunospot (ELISPOT) assays were performed as described previously (37) using blood samples from HLA-B*57⁺ and -B*5801⁺ subjects. All peptides were tested at concentrations of 10 μg, 1 μg, 0.1 μg, and 0.01 μg/ml. Responses were considered positive if they were more than two times higher than that of the negative control and were measured at ≥100 spot-forming units ml⁻¹. Fisher''s exact test and chi-square analyses were used to determine differences among groups in categorical analyses. Mann-Whitney U tests were used to compare response magnitudes and disease progression between groups.We confirmed the protective effects of HLA-B*57 in clade A1 infection (mean of 9.9 years versus 7.8 years until CD4 counts were <200, P = 0.041) (Fig. ​(Fig.1).1). Slow progressors were overrepresented in HLA-B*57⁺ clade A1⁺ subjects (52.2%) compared to both HLA-B*5801⁺ clade A1⁺ (13.3%, P = 0.02) and HLA-B*57/5801-negative clade A1⁺ (27.8%, P = 0.028) subjects (Fig. ​(Fig.1b).1b). In contrast to what has been shown for other clades (2, 27), protection was not observed for clade A1-infected HLA-B*5801⁺ subjects (mean of 6.5 years versus 7.8 years until CD4 counts were <200, P > 0.3) (Fig. ​(Fig.11).Open in a separate windowFIG. 1.HLA-B*57, but not HLA-B*5801, is associated with a lower rate of disease progression in clade A1-infected subjects than that of the overall cohort. (a) Number of years from cohort entry until sequential CD4 counts fell below 200/μl. (b) Slow progressors (>10 years with CD4 counts of >200) were also more common in HLA-B*57⁺ clade A1-infected subjects than in those expressing HLA-B*5801 or neither.Stratification of TW10 (Gag_240-249) proviral sequences on the basis of HLA allele and clade revealed several differences in selection between clades A1 and D (Fig. ​(Fig.2a).2a). We observed the expected T242N substitution in 100% of HLA-B*57⁺ clade D-infected subjects (7/7), compared to only 14.7% variability at Gag residue 242 in HLA-B*57/5801-negative subjects (13/88, P = 3.26 × 10⁻⁹) (Fig. ​(Fig.2b).2b). In contrast, T242N was found infrequently in clade A1-infected HLA-B*57⁺ subjects (15%, 5/33, P = 0.0004). Instead, variants containing the mutations P243T and I247L were more frequently observed (both observed in 11/33 subjects). Overall, variation at residues 243 and 247 was more common in HLA-B*57⁺ subjects (51% and 15%, respectively; P = 2.92 × 10⁻⁶) than in HLA-B*57/5801-negative clade A1⁺ subjects (33% and 9%, respectively; P = 0.0008). Selection at both residues 243 and 247 was observed only in 2/33 HLA-B*57⁺ subjects, suggesting that these mutations are independent. Selection at residue 248, observed in clade B infection (32), was not evident in either clade A1 or D. While I247X selection has been described in other clades at low frequencies and in elite controllers (21, 40), HLA-B*57-mediated selection at Gag residue 243 has not yet been described. In summary, the T242N mutation, which is typical of other clades, does not appear to be the primary escape mutant in clade A1.Open in a separate windowFIG. 2.HLA-B*57-mediated selection in TW10 differs between clade A1 and clade D. (a) TW10 sequences were stratified by HLA-B*57, HLA-B*5801, or other alleles (HLA-B*57/5801⁻) and compared between clades A1 and D, based on the clade B consensus TW10 sequence. Each subject is represented by one sequence, and the numbers of subjects with a given sequence are shown in parentheses. A summary of variation from the TW10 consensus at Gag residues 242, 243, 247, and 248 is shown for HLA-B*57⁺ (b) and -B*5801⁺ (c) subjects. (b and c) Clade D is shown at the top, and clade A1 is shown at the bottom. Variation is shown in dark gray, and consensus is shown in light gray. (d) The proportions of clade A1-infected subjects with selection at Gag residue 242 only, and those with selection at residues 242 and 243 in combination, are shown. *, P < 0.05; **, P < 0.005; ***, P < 0.0005.Previous studies have suggested that HLA-B*5801 places selection pressure on TW10, similar to that of HLA-B*57 (35). Similar to clades B and C, selection of T242N was evident in HLA-B*5801⁺ clade D-infected subjects (TW10 variation in 8/11 HLA-B*5801⁺ subjects versus 13/88 HLA-B*57/5801-negative subjects; P = 0.0069) (Fig. ​(Fig.2c).2c). Limited T242N selection was observed in clade A1-infected HLA-B*5801⁺ subjects, and in contrast to HLA-B*57, there were no HLA-B*5801-associated substitutions at residues 243 and 247 in clade A1 (P values of 0.75 and 0.29, respectively) (Fig. ​(Fig.2c).2c). In summary, these data suggest that in addition to HLA-B*5801 not being associated with protection in clade A1 (Fig. ​(Fig.1),1), HLA-B*5801 does not select the HLA-B*57-associated clade A1 TW10 escape mutations.Inclusion of all clade A1 sequences with T242X substitutions (regardless of the HLA allele) reveals that in every case (10/10), there is an accompanying residue 243 mutation. Polymorphisms at these sites correlate very strongly (P = 3.71 × 10⁻⁸) (Fig. ​(Fig.2d).2d). Together, these data suggest that residue 242 polymorphism in clade A1 is incompatible with proline at residue 243, which is the clade A1 consensus.We next assessed the immunological implications of novel clade A1 variants in HLA-B*57⁺ (n = 12) and -B*5801⁺ (n = 6) subjects infected primarily by clade A1. Clade A1-infected subjects commonly made anamnestic, low-avidity responses to TW10. The majority of HLA-B*57⁺ subjects who recognized clade A1 TW10 did not respond to P243T or I247L in ELISPOT assays (Fig. ​(Fig.3),3), supporting the hypothesis that these represent escape mutations. Those who did recognize P243T and I247L had lower magnitude responses than those who recognized clade A1 TW10 at the 10-μg/ml peptide concentration (P of 0.0005 for both) (Fig. ​(Fig.3a).3a). Similarly, these variants were not well recognized by CD8⁺ T cells from HLA-B*5801⁺ subjects (Fig. ​(Fig.3b).3b). For two HLA-B*57⁺ subjects, P243T and I247L responses had lower avidity than clade A1 TW10 responses (Fig. ​(Fig.3c).3c). These data support the hypothesis that P243T and I247L likely represent escape mutations.Open in a separate windowFIG. 3.Peptides with novel TW10 clade A1-selected mutations are poorly recognized in ex vivo gamma interferon ELISPOT avidity assays, suggestive of escape mutations. ELISPOT responses to TW10 and variants at 10 μg/ml peptide by HLA-B*57⁺ (a) and HLA-B*5801⁺ (b) subjects are shown. (c) The functional avidity of TW10 and variants for two HLA-B*57⁺ subjects is shown, suggesting that P243T and I247L are less recognized than TW10, particularly at lower peptide concentrations. Sequence names are described in the text. (d) Elispot responses to A1 TW10 and T242N correlated at 10 μg/ml. SFU/m, spot-forming units/million PBMCs.Recognition of the clade B/D consensus (TSTLQEQIGW) was diminished compared to that of clade A1 TW10. However, despite the presumed absence of this variant in these subjects'' autologous sequences, the clade B/D escape variant (TSNLQEQIGW [T242N]) was recognized at a magnitude similar to that of the consensus clade A1 TW10 (r = 0.71, P = 0.0099) (Fig. ​(Fig.3d).3d). No responses to T242N/G248A were observed (not shown), as described previously (32). These data suggest that clade A1 and B TW10, and their escape variants, are immunologically distinct from one another.We next assessed whether clade-specific selection was evident in other immunodominant HLA-B*57 p24 epitopes that are commonly targeted in chronic clade B infection (2). In clade D IW9 (ISPRTLNAW [Gag_147-155]), variants containing the escape variant I147L (14) were more common in HLA-B*57⁺ subjects than in HLA-B*57/5801-negative subjects (86% and 30%, respectively; P = 0.0055) (Table ​(Table1).1). However, this variant was not selected in clade A1 (variation in 30% versus 21% subjects; P value was not significant), where leucine is the consensus. Interestingly, ELISPOT data indicated substantial cross-reactivity between 147L and 147I in clade A1-infected subjects (10 μg/ml, r = 0.987, P < 0.0001) (data not shown), suggesting that infection with an escape variant from one clade (clade D) does not necessarily preclude recognition of this epitope in another one (clade A1). Other amino acids (F, M, and P) were common in HLA-B*57⁺ subjects at residue 147 (>30% versus 3% in HLA-B*57/5801-negative subjects, P = 3.85 × 10⁻⁶). Although the immunological consequences are unknown, these HLA-associated substitutions could represent novel escape variants.

TABLE 1.

p24 sequences in HLA-B*57⁺ subjects infected by clades A1 and D

Widespread Distribution of Poribacteria in Demospongiae

Poribacteria were found in nine sponge species belonging to six orders of Porifera from three oceans. Phylogenetic analysis revealed four distinct poribacterial clades, which contained organisms obtained from several different geographic regions, indicating that the distribution of poribacteria is cosmopolitan. Members of divergent poribacterial clades were also found in the same sponge species in three different sponge genera.Recently, a novel bacterial phylum, termed “Poribacteria,” was discovered, and members of this phylum have been found exclusively in sponges (2). Phylogenetic analyses of 16S rRNA genes indicated that poribacteria are evolutionarily deeply branching organisms and related to a superphylum composed of Planctomycetes, Verrucomicrobia, and Chlamydia (11). Poribacterial 16S rRNA genes contain 13 of 15 planctomycete signature nucleotides, but a level of sequence divergence of more than 25% compared to any other bacterial phylum, including the Planctomycetes, justifies the status of this taxon as an independent phylum. A consistent treeing pattern is difficult to resolve in comparative phylogenetic sequence analyses, making the poribacteria an unusual line of phylogenetic descent. In addition to their divergent status as a separate phylum on the basis of the 16S rRNA sequence, poribacteria are also divergent because they may have a compartmentalized cell structure, a cell plan they share only with members of the phyla Planctomycetes and Verrucomicrobia (2). They are also of interest for understanding the potential contribution of obligate sponge-associated bacteria to the sponges harboring them and as an example of a yet-to-be-cultured group of bacteria associated with invertebrate tissue apparently exclusively but for unknown reasons. This study aimed to further explore the presence and diversity of poribacteria in different marine demosponge genera using samples from around the world.The Mediterranean sponges were collected by scuba divers offshore at Banyuls sur Mer, France (42°29′N, 03°08′E). The Caribbean sponges were collected offshore at Little San Salvador Island, Bahamas (24°32′N, 75°55′W). The eastern Pacific sponge Aplysina fistularis was collected offshore at San Diego, CA (32°51′N, 117°15′W). The western Pacific sponge Theonella swinhoei was collected offshore at Palau (07°23′N, 134°38′E). All non-Great Barrier Reef (non-GBR) sponges were collected between May and July 2000, and once individual sponge specimens were brought to the surface, they were frozen in liquid nitrogen on board ship and stored at −80°C until microbiological processing (9). The GBR marine sponges were collected off Heron Island Research Station (23°27′S, 151°5′E) in April 2002 (5). Pseudoceratina clavata was collected by scuba divers at a depth of 14 m, and Rhabdastrella globostellata was collected at a depth of ca. 0.5 m after a reef walk consisting of a few hundred meters. The samples were immediately placed in plastic bags and brought to Heron Island Research Station, where they were stored at −80°C until processing. Sponge DNA was extracted as described previously (2, 5).Total sponge-derived genomic DNA was screened by PCR for the presence of poribacteria using a 16S rRNA gene primer set. Poribacterial 16S rRNA genes were amplified by employing a pair of Poribacteria-specific primers, POR389f (5′-ACG ATG CGA CGC CGC GTG-3′) and POR1130r (5′-GGC TCG TCA CCA GCG GTC-3′) (2). The poribacterial PCR products that were ca. 740 bp long derived from one sponge individual were cloned into the pGEM-T Easy vector (Promega, Madison, WI). Clone inserts were digested with restriction endonucleases MspI and HaeIII (New England Biolabs, Inc., United States), characterized to obtain restriction profiles and unique profiles, and sequenced. The compiled partial 16S rRNA gene sequences were then analyzed using BLASTN to select the most closely related poribacterial reference sequences.The sequences exhibiting levels of similarity of less than 97% were used for further analysis. Poribacterial 16S rRNA gene sequences were aligned using the ARB software package (7). The resulting alignment was imported into PAUP (10) and analyzed by using distance, maximum parsimony, and maximum likelihood algorithms together with bootstrap resamplings (3,000, 3,000, and 200 resamplings, respectively), and the resulting bootstrap values were applied to nodes on the ARB neighbor-joining tree. Signature sequences were detected using the ARB software package. A signature sequence is defined here as a short sequence that is present in a group of poribacterial sequences in a phylogenetic clade but is not found in any other clade in the poribacterial tree.Analysis of the 16S rRNA gene clone library sequences generated from sponge tissues revealed the presence of poribacteria in sponge individuals belonging to the orders Verongida, Astrophorida, Dictyoceratida, Haplosclerida, Lithistida, and Homosclerophorida, while poribacteria could not be detected in sponges belonging to the orders Hadromerida and Agelasida. In the order Halichondrida, poribacteria were detected in Xestospongia muta but not in Haliclona sp. Altogether, nine sponge species were added to the list of Poribacteria-containing sponges (Table ​(Table1).1). Three distinct clades were observed that were clearly supported by bootstrap values greater than 75 with every tree-building algorithm applied (Fig. ​(Fig.1),1), and one clade (clade I) was supported by bootstrap values of 64, 98, and 71 in distance, maximum parsimony, and maximum likelihood trees, respectively. Similarity calculations using approximately 740-bp amplified poribacterial 16S rRNA gene fragments and other poribacterial sequences from the NCBI database showed that the dissimilarity between clades was consistent with their separation in phylogenetic trees. For example, the levels of dissimilarity between members of clade I and clade II were 3 to 8%, while the levels of dissimilarity between members of clades I and III and between members of clades I and IV were 10 to 14% and 11 to 15%, respectively.Open in a separate windowFIG. 1.Neighbor-joining phylogenetic tree for poribacterial clones based on Poribacteria-specific PCR products (740 bp) of the 16S rRNA gene, showing relationships of poribacterial clones from different global regions. The poribacterial clones on the right are additional clones belonging to the same clades as strains in the tree at the same level. Bootstrap confidence values of >75% for distance, maximum parsimony, and maximum likelihood algorithm analyses are indicated by filled circles at nodes, and open circles indicate unsupported nodes. Prefixes for clones: A, Aplysina aerophoba; C, Aplysina cavernicola; F, Aplysina fistularis; L, Aplysina lacunosa; S, Ircinia sp.; P, Plakortis sp.; PC, Pseudoceratina clavata; RG, Rhabdastrella globostellata; T, Theonella swinhoei; X, Xestospongia muta. Scale bar = 0.1 nucleotide substitution per site.

TABLE 1.

Distribution of poribacteria in different demosponge orders

A conifer genome spruces up plant phylogenomics

The Norway spruce genome provides key insights into the evolution of plant genomes, leading to testable new hypotheses about conifer, gymnosperm, and vascular plant evolution.In the past year a burst of plant genome sequences have been published, providing enhanced phylogenetic coverage of green plants (Figure ​(Figure1)1) and inclusion of new agricultural, ecological, and evolutionary models. Collectively, these sequences are revealing some extraordinary structural and evolutionary attributes in plant genomes. Perhaps most surprising is the exceptionally high frequency of whole-genome duplication (WGD): nearly every genome that has been analyzed has borne the signature of one or more WGDs, with particularly notable events having occurred in the common ancestors of seed plants, of angiosperms, and of core eudicots (the latter ''WGD'' represents two WGDs in close succession) [1,2]. Given this tendency for plant genomes to duplicate and then return to an essentially diploid genetic system (an example is the cotton genomes, which have accumulated the effects of perhaps 15 WGDs [3]), the conservation of genomes in terms of gene number, chromosomal organization, and gene content is astonishing. From the publication of the first plant genome, Arabidopsis thaliana [4], the number of inferred genes has been between 25,000 and 30,000, with many gene families shared across all land plants, although the number of members and patterns of expansion and contraction vary. Furthermore, conserved synteny has been detected across the genomes of diverse angiosperms, despite WGDs, diploidization, and millions of years of evolution.Open in a separate windowFigure 1Simplified phylogeny of land plants, showing major clades and their component lineages. Asterisks indicate species (or lineage) for which whole-genome sequence (or sequences) is (are) available. Increases and decreases in genome size are shown by arrows.Despite the proliferation of genome sequences available for angiosperms, genome-level data for both ferns (and their relatives, collectively termed monilophytes; Figure ​Figure1)1) and gymnosperms have been conspicuously lacking - until recently, with the publication of the genome sequence of the gymnosperm Norway spruce (Picea abies) [5]. The large genome sizes for both monilophytes and gymnosperms have discouraged attempts at genome sequencing and assembly, whereas the smaller genome size of angiosperms has resulted in more genome sequences being available (Table ​(Table1)1) [6]. Because of this limited phylogenetic sample, our understanding of the timing and phylogenetic positions of WGDs, the core number of plant genes, possible conserved syntenic regions, and patterns of expansion and contraction of gene families across both tracheophytes (vascular plants) and across all land plants is imperfect. This sampling problem is particularly acute in analyses of the genes and genomes of seed plants; many hundreds of genes are present in angiosperms that are not present in mosses or lycophytes, but whether these genes arose in the common ancestor of seed plants or of angiosperms cannot be determined without a gymnosperm genome sequence. The Norway spruce genome therefore offers tremendous power, not only for understanding the structure and evolution of conifer genomes, but also as a reference for interpreting gene and genome evolution in angiosperms.

Table 1

Genome sizes in land plants

Does an Eye-Hand Coordination Test Have Added Value as Part of Talent Identification in Table Tennis? A Validity and Reproducibility Study

This study investigated the added value, i.e. discriminative and concurrent validity and reproducibility, of an eye-hand coordination test relevant to table tennis as part of talent identification. Forty-three table tennis players (7–12 years) from national (n = 13), regional (n = 11) and local training centres (n = 19) participated. During the eye-hand coordination test, children needed to throw a ball against a vertical positioned table tennis table with one hand and to catch the ball correctly with the other hand as frequently as possible in 30 seconds. Four different test versions were assessed varying the distance to the

The Russian invasion of Ukraine: a humanitarian tragedy and a tragedy for science

The Invasion of Ukraine prompts us to support our Ukranian colleagues but also to keep open communication with the Russian scientists who oppose the war.

In the eyes of the civilized world, Russia has already lost the war: politically, it is becoming ever more isolated; economically as the sanctions take an enormous toll; militarily as the losses of the Russian army mount. In contrast, the courage of Ukrainian people fighting for their independence has united the Western world that is providing enormous support for those Ukrainians who fight the Russian invasion and those who have fled their war‐torn country. Once this war is over, Ukraine will have to heal the wounds of war, reunite families, restore its economy, reestablish infrastructure, and rebuild science and education. Russia will have to restore its dignity and overcome its self‐inflicted isolation.Europe’s unity in condemning Russia’s war of aggression and showing its solidarity with Ukraine has been impressive. This includes not the least welcoming and accommodating millions of refugees. We, the scientific community in Europe, have a moral obligation to help Ukrainian students and colleagues by providing safe space to study and to continue their research. First, European research organizations and funding agencies should develop strategies to support them in the years to come. Second, efforts by EMBO, research funders, universities, and research institutions to support Ukrainian students and scientists are necessary. As a first priority, dedicated and unbureaucratic short‐term scholarship and grant programs are required to accommodate Ukrainian scientists; such programs have been already initiated by many organizations, for example, by EMBO, Volkswagen Stiftung, Max Planck Society, and the ERC among others. These help Ukrainian scientists to stay connected to research and become integrated into the European research landscape. In the long‐term and after the war, this aid should be complemented by funding for research centers of excellence in Ukraine, to which scientists could then return.Even though the priority must be to help Ukrainians, we must also think of students and colleagues in Russia who oppose the war and are affected by the sanctions. As the Iron Curtain closes again, we have to think differently about our ongoing and future collaborations. Although freezing most, if not all, research collaborations with official Russian organizations is justified, it would be a mistake to extend these sanctions to all scientists and students. There is already an exodus of Russian and Belarusian scholars, which will only accelerate in the next months and years, and accepting scientists who ask for political asylum will be beneficial for Europe.The fraction of Russian society in open opposition to the war is, unfortunately, smaller than that officially in support of it. At the beginning of the war, a number of Russian scientists published an open letter on the internet, in which they condemn this war (https://t‐invariant.org/2022/02/we‐are‐against‐war/). They clearly state that "The responsibility for unleashing a new war in Europe lies entirely with Russia. There is no rational justification for this war”, and “demand an immediate halt to all military operations directed against Ukraine". At the same time, other prominent Russian science and education officials signed the “Statement of the Russian Union of University Rectors (Provosts)”, which expressed unwavering support for Russia, its president and its Army and their goal to “to achieve demilitarization and denazification of Ukraine and thus to defend ourselves from the ever‐growing military threat” (https://www.rsr‐online.ru/news/2022‐god/obrashchenie‐rossiyskogo‐soyuza‐rektorov1/).Inevitably, Russian scientists must decide themselves how to live and continue their scientific work under the increasingly tight surveillance of the Kremlin regime. History is repeating itself. Not long ago, during the Cold War, Soviet scientists were largely isolated from the international research community and worked in government‐controlled research. In some fields, no one knew what they were working on or where. However, even in those dark times, courageous individuals such as Andrei Sakharov spoke out against the regime and tried to educate the next generation about the importance of free will. Many Soviet geneticists had been arrested under Stalin’s regime of terror and as a result of Lysenkoism and were executed or sent to the Gulag or had to emigrate, such as Nikolaj Timofeev‐Resovskij, one of the great geneticists of his time and an opponent of communism. As a result of sending dissident scientists to Siberia, great educational institutions were created in the region, which trained many famous scientists. History tells us that it is impossible to kill free will and the search for truth.The Russian invasion of Ukraine is a major humanitarian tragedy and a tragedy for science at many levels. Our hope is that the European science community, policymakers, and funders will be prepared to continue and expand support for our colleagues from Ukraine and eventually help to rebuild the bridges with Russian science that have been torn down.This commentary has been endorsed and signed by the EMBO Young Investigators and former Young Investigators listed below.

All signatories are current and former EMBO Young Investigators and endorse the statements in this article.

Different Minimal Signal Peptide Lengths Recognized by the Archaeal Prepilin-Like Peptidases FlaK and PibD

In Archaea, the preflagellin peptidase (a type IV prepilin-like peptidase designated FlaK in Methanococcus voltae and Methanococcus maripaludis) is the enzyme that cleaves the N-terminal signal peptide from preflagellins. In methanogens and several other archaeal species, the typical flagellin signal peptide length is 11 to 12 amino acids, while in other archaea preflagellins possess extremely short signal peptides. A systematic approach to address the signal peptide length requirement for preflagellin processing is presented in this study. M. voltae preflagellin FlaB2 proteins with signal peptides 3 to 12 amino acids in length were generated and used as a substrate in an in vitro assay utilizing M. voltae membranes as an enzyme source. Processing by FlaK was observed in FlaB2 proteins containing signal peptides shortened to 5 amino acids; signal peptides 4 or 3 amino acids in length were unprocessed. In the case of Sulfolobus solfataricus, where the preflagellin peptidase PibD has broader substrate specificity, some predicted substrates have predicted signal peptides as short as 3 amino acids. Interestingly, the shorter signal peptides of the various mutant FlaB2 proteins not processed by FlaK were processed by PibD, suggesting that some archaeal preflagellin peptidases are likely adapted toward cleaving shorter signal peptides. The functional complementation of signal peptidase activity by FlaK and PibD in an M. maripaludis ΔflaK mutant indicated that processing of preflagellins was detected by complementation with either FlaK or PibD, yet only FlaK-complemented cells were flagellated. This suggested that a block in an assembly step subsequent to signal peptide removal occurred in the PibD complementation.The bacterial type IV prepilin peptidase (TFPP) is a well-characterized enzyme belonging to a family of novel aspartic acid proteases (20). It is responsible for the cleavage of N-terminal signal peptides from prepilins and pseudopilins, prior to their incorporation into the type IV pilus structure (22, 30, 31). The prepilin peptidase is also responsible for the processing of prepilin-like proteins needed for type II secretion (22). In Archaea, the existence of bacterial TFPP-like enzymes has also been reported, and they have been most extensively studied in relation to the assembly of the archaeal flagellum. In the euryarchaeotes Methanococcus maripaludis and Methanococcus voltae, the preflagellin peptidase FlaK was demonstrated to be responsible for cleaving the N-terminal signal peptide from the preflagellin prior to its incorporation into the growing flagellar filament, a step essential to flagellar assembly (6, 7, 26). In Sulfolobus solfataricus, an acidophilic crenarchaeote, the equivalent enzyme, PibD, was also shown to process preflagellins (4). Site-directed mutagenesis of FlaK and PibD demonstrated that both aspartic acid residues that aligned with aspartic acid residues essential for bacterial TFPP activity were also essential in the archaeal enzymes (6, 32), indicating that the two archaeal peptidases belong with the bacterial TFPPs in this novel family of aspartic acid proteases (20). More recently, an additional archaeal TFPP was found to be required for cleavage of the prepilin substrates (33) that are assembled into the unique pili of M. maripaludis (37).The substrate specificity of the archaeal preflagellin peptidase remains an open question. Like prepilin peptidases, FlaK in M. voltae has stringent requirements for the amino acids surrounding the cleavage site of the substrate, especially the −1 glycine, −2 and −3 lysines, and the +3 glycine (numbers given relative to the cleavage site) (35); the last position was conserved in all archaeal flagellins (25). Upon N-terminal sequence alignment of all available archaeal flagellin amino acid sequences at the predicted cleavage site, it was found that most archaeal preflagellin signal peptides are quite conserved in length, with the typical flagellin signal peptide being 11 to 12 amino acids in length (Table ​(Table1).1). It is speculated that while a certain amount of flexibility might exist, some optimum and minimum length probably exists that is crucial for the juxtaposition of the signal peptide and signal peptidase with respect to each other and the membrane (18). A recent study examining possible type IV pilin-like substrates in archaea using the FlaFind program indicated that such substrates may be more widespread than initially thought (33). Since in Methanococcus the pilins are processed by a second TFPP (EppA) (33), it is very possible that the preflagellins might be the only substrates of FlaK in these archaea.

TABLE 1.

N-terminal amino acid alignment of selected archaeal flagellin sequences^a

Economic Benefits of Investing in Women’s Health: A Systematic Review

Background

Globally, the status of women’s health falls short of its potential. In addition to the deleterious ethical and human rights implications of this deficit, the negative economic impact may also be consequential, but these mechanisms are poorly understood. Building on the literature that highlights health as a driver of economic growth and poverty alleviation, we aim to systematically investigate the broader economic benefits of investing in women’s health.

Methods

Using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, we systematically reviewed health, gender, and economic literature to identify studies that investigate the impact of women’s health on micro- and macroeconomic outcomes. We developed an extensive search algorithm and conducted searches using 10 unique databases spanning the timeframe 01/01/1970 to 01/04/2013. Articles were included if they reported on economic impacts stemming from changes in women’s health (table of outcome measures included in full review, Outcome measures   FertilityIntergenerational Health SpilloverEducationProductivitySavingsMicroeconomic level    Total fertility rateChild survivalEnrollment in schoolIncomeMoneyChange in fertilityChild wellbeing and behaviorYears of schoolingPurchasing powerAssetsAge at first birth/ teenage pregnanciesAnthropometryEarly drop outPerformanceBirth spacingImproved cognitive developmentPerformance in school Life expectancyHigher education  Adult health outcomesLiteracy  Nutrition   Intrauterine growth  Macroeconomic level    Open in a separate windowGross domestic product/gross national product, gross domestic product/gross national product growth, income per capita, labor force participation, per capita income.

Results

The existing literature indicates that healthier women and their children contribute to more productive and better-educated societies. This study documents an extensive literature confirming that women’s health is tied to long-term productivity: the development and economic performance of nations depends, in part, upon how each country protects and promotes the health of women. Providing opportunities for deliberate family planning; healthy mothers before, during, and after childbirth, and the health and productivity of subsequent generations can catalyze a cycle of positive societal development.

Conclusions

This review highlights the untapped potential of initiatives that aim to address women’s health. Societies that prioritize women’s health will likely have better population health overall, and will remain more productive for generations to come.     

Diminished Susceptibility to Cefoperazone/Sulbactam and Piperacillin/Tazobactam in Enterobacteriaceae Due to Narrow-Spectrum β-Lactamases as Well as Omp Mutation

Cefoperazone/sulbactam (CSL) and piperacillin/tazobactam (TZP) are commonly used in clinical practice in China because of their excellent antimicrobial activity. CSL and TZP-nonsusceptible Enterobacteriaceae are typically resistant to extended-spectrum cephalosporins such as ceftriaxone (CRO). However, 11 nonrepetitive Enterobacteriaceae strains, which were resistant to CSL and TZP yet susceptible to CRO, were collected from January to December 2020. Antibiotic susceptibility tests and whole-genome sequencing were conducted to elucidate the mechanism for this rare phenotype. Antibiotic susceptibility tests showed that all isolates were amoxicillin/clavulanic-acid resistant and sensitive to ceftazidime, cefepime, cefepime/tazobactam, cefepime/zidebactam, ceftazidime/avibactam, and ceftolozane/tazobactam. Whole-genome sequencing revealed three of seven Klebsiella pneumoniae strains harbored bla_SHV-1 only, and four harbored bla_SHV-1 and bla_TEM-1B. Two Escherichia coli strains carried bla_TEM-1B only, while two Klebsiella oxytoca isolates harbored bla_OXY-1-3 and bla_OXY-1-1, respectively. No mutation in the β-lactamase gene and promoter sequence was found. Outer membrane protein (Omp) gene detection revealed that numerous missense mutations of OmpK36 and OmpK37 were found in all strains of K. pneumoniae. Numerous missense mutations of OmpK36 and OmpK35 and OmpK37 deficiency were found in one K. oxytoca strain, and no OmpK gene was found in the other. No Omp mutations were found in E. coli isolates. These results indicated that narrow spectrum β-lactamases, TEM-1, SHV-1, and OXY-1, alone or in combination with Omp mutation, contributed to the resistance to CSL and TZP in CRO-susceptible Enterobacteriaceae.Antibiotic susceptibility tests

Phage Display Selection of Cyclic Peptides That Inhibit Andes Virus Infection

Specific therapy is not available for hantavirus cardiopulmonary syndrome caused by Andes virus (ANDV). Peptides capable of blocking ANDV infection in vitro were identified using antibodies against ANDV surface glycoproteins Gn and Gc to competitively elute a cyclic nonapeptide-bearing phage display library from purified ANDV particles. Phage was examined for ANDV infection inhibition in vitro, and nonapeptides were synthesized based on the most-potent phage sequences. Three peptides showed levels of viral inhibition which were significantly increased by combination treatment with anti-Gn- and anti-Gc-targeting peptides. These peptides will be valuable tools for further development of both peptide and nonpeptide therapeutic agents.Andes virus (ANDV), an NIAID category A agent linked to hantavirus cardiopulmonary syndrome (HCPS), belongs to the family Bunyaviridae and the genus Hantavirus and is carried by Oligoryzomys longicaudatus rodents (11). HCPS is characterized by pulmonary edema caused by capillary leak, with death often resulting from cardiogenic shock (9, 16). ANDV HCPS has a case fatality rate approaching 40%, and ANDV is the only hantavirus demonstrated to be capable of direct person-to-person transmission (15, 21). There is currently no specific therapy available for treatment of ANDV infection and HCPS.Peptide ligands that target a specific protein surface can have broad applications as therapeutics by blocking specific protein-protein interactions, such as preventing viral engagement of host cell receptors and thus preventing infection. Phage display libraries provide a powerful and inexpensive tool to identify such peptides. Here, we used selection of a cyclic nonapeptide-bearing phage library to identify peptides capable of binding the transmembrane surface glycoproteins of ANDV, Gn and Gc, and blocking infection in vitro.To identify peptide sequences capable of recognizing ANDV, we panned a cysteine-constrained cyclic nonapeptide-bearing phage display library (New England Biolabs) against density gradient-purified, UV-treated ANDV strain CHI-7913 (a gift from Hector Galeno, Santiago, Chile) (17, 18). To increase the specificity of the peptides identified, we eluted phage by using monoclonal antibodies (Austral Biologicals) prepared against recombinant fragments of ANDV Gn (residues 1 to 353) or Gc (residues 182 to 491) glycoproteins (antibodies 6B9/F5 and 6C5/D12, respectively). Peptide sequences were determined for phage from iterative rounds of panning, and the ability of phage to inhibit ANDV infection of Vero E6 cells was determined by immunofluorescent assay (IFA) (7). Primary IFA detection antibodies were rabbit polyclonal anti-Sin Nombre hantavirus (SNV) nucleoprotein (N) antibodies which exhibit potent cross-reactivity against other hantavirus N antigens (3). ReoPro, a commercially available Fab fragment which partially blocks infection of hantaviruses in vitro by binding the entry receptor integrin β₃ (5), was used as a positive control (80 μg/ml) along with the original antibody used for phage elution (5 μg/ml). As the maximum effectiveness of ReoPro in inhibiting hantavirus entry approaches 80%, we set this as a threshold for maximal expected efficacy for normalization. The most-potent phage identified by elution with the anti-Gn antibody 6B9/F5 bore the peptide CPSNVNNIC and inhibited hantavirus entry by greater than 60% (61%) (Table ​(Table1).1). From phage eluted with the anti-Gc antibody 6C5/D12, those bearing peptides CPMSQNPTC and CPKLHPGGC also inhibited entry by greater than 60% (66% and 72%, respectively).

TABLE 1.

Peptide-bearing phage eluted from ANDV

Analysis of the Clonal Relationship of Serotype O26:H11 Enterohemorrhagic Escherichia coli Isolates from Cattle

Twelve cluster groups of Escherichia coli O26 isolates found in three cattle farms were monitored in space and time. Cluster analysis suggests that only some O26:H11 strains had the potential for long-term persistence in hosts and farms. As judged by their virulence markers, bovine enterohemorrhagic O26:H11 isolates may represent a considerable risk for human infection.Shiga toxin (Stx)-producing Escherichia coli (STEC) strains comprise a group of zoonotic enteric pathogens (42). In humans, infections with some STEC serotypes result in hemorrhagic or nonhemorrhagic diarrhea, which can be complicated by hemolytic-uremic syndrome (HUS) (49). These STEC strains are also designated “enterohemorrhagic E. coli” (EHEC). Consequently, EHEC strains represent a subgroup of STEC with a high pathogenic potential for humans. Strains of the E. coli serogroup O26 were originally classified as enteropathogenic E. coli due to their association with outbreaks of infantile diarrhea in the 1940s. In 1977, Konowalchuk et al. (37) recognized that these bacteria produced Stx, and 10 years later, the Stx-producing E. coli O26:H11/H− strains were classified as EHEC. EHEC O26 strains constitute the most common non-O157 EHEC group associated with diarrhea and HUS in Europe (12, 21, 23, 24, 26, 27, 55, 60). Reports on an association between EHEC O26 and HUS or diarrhea from North America including the United States (15, 30, 33), South America (51, 57), Australia (22), and Asia (31, 32) provide further evidence for the worldwide spread of these organisms. Studies in Germany and Austria (26, 27) on sporadic HUS cases between 1996 and 2003 found that EHEC O26 accounted for 14% of all EHEC strains and for ∼40% of non-O157 EHEC strains obtained from these patients. A proportion of 11% EHEC O26 strains was detected in a case-control study in Germany (59) between 2001 and 2003. In the age group <3 years, the number of EHEC O26 cases was nearly equal to that of EHEC O157 cases, although the incidence of EHEC O26-associated disease is probably underestimated because of diagnostic limitations in comparison to the diagnosis of O157:H7/H− (18, 34). Moreover, EHEC O26 has spread globally (35). Beutin (6) described EHEC O26:H11/H−, among O103:H2, O111:H, O145:H28/H−, and O157:H7/H−, as the well-known pathogenic “gang of five,” and Bettelheim (5) warned that we ignore the non-O157 STEC strains at our peril.EHEC O26 strains produce Stx1, Stx2, or both (15, 63). Moreover, these strains contain the intimin-encoding eae gene (11, 63), a characteristic feature of EHEC (44). In addition, EHEC strains possess other markers associated with virulence, such as a large plasmid that carries further potential virulence genes, e.g., genes coding for EHEC hemolysin (EHEC-hlyA), a catalase-peroxidase (katP), and an extracellular serine protease (espP) (17, 52). The efa1 (E. coli factor for adherence 1) gene was identified as an intestinal colonization factor in EHEC (43). EHEC O26 represents a highly dynamic group of organisms that rapidly generate new pathogenic clones (7, 8, 63).Ruminants, especially cattle, are considered the primary reservoir for human infections with EHEC. Therefore, the aim of this study was the molecular characterization of bovine E. coli field isolates of serogroup O26 using a panel of typical virulence markers. The epidemiological situation in the beef herds from which the isolates were obtained and the spatial and temporal behavior of the clonal distribution of E. coli serogroup O26 were analyzed during the observation period. The potential risk of the isolates inducing disease in humans was assessed.In our study, 56 bovine E. coli O26:H11 isolates and one bovine O26:H32 isolate were analyzed for EHEC virulence-associated factors. The isolates had been obtained from three different beef farms during a long-term study. They were detected in eight different cattle in farm A over a period of 15 months (detected on 10 sampling days), in 3 different animals in farm C over a period of 8 months (detected on 3 sampling days), and in one cow on one sampling day in farm D (Table ​(Table1)1) (28).

TABLE 1.

Typing of E. coli O26 isolates