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The Plant Short-Chain Dehydrogenase (SDR) superfamily: genome-wide inventory and diversification patterns

Moummou, Hanane, Kallberg, Yvonne, Tonfack, Libert Brice, Persson, Bengt, van der Rest, Benoît·2012·BMC Plant Biology
DOI 10.1186/1471-2229-12-219PMC PMC3541173
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Abstract

Background: Short-chain dehydrogenases/reductases (SDRs) form one of the largest and oldest NAD(P)(H) dependent oxidoreductase families. Despite a conserved ‘Rossmann-fold’ structure, members of the SDR superfamily exhibit low sequence similarities, which constituted a bottleneck in terms of identification. Recent classification methods, relying on hidden-Markov models (HMMs), improved identification and enabled the construction of a nomenclature. However, functional annotations of plant SDRs remain scarce. Results: Wide-scale analyses were performed on ten plant genomes. The combination of hidden Markov model (HMM) based analyses and similarity searches led to the construction of an exhaustive inventory of plant SDR. With 68 to 315 members found in each analysed genome, the inventory confirmed the over-representation of SDRs in plants compared to animals, fungi and prokaryotes. The plant SDRs were first classified into three major types — ‘classical’, ‘extended’ and ‘divergent’ — but a minority (10% of the predicted SDRs) could not be classified into these general types (‘unknown’ or ‘atypical’ types). In a second step, we could categorize the vast majority of land plant SDRs into a set of 49 families. Out of these 49 families, 35 appeared early during evolution since they are commonly found through all the Green Lineage. Yet, some SDR families — tropinone reductase-like proteins (SDR65C), ‘ABA2-like’-NAD dehydrogenase (SDR110C), ‘salutaridine/menthone-reductase-like’ proteins (SDR114C), ‘dihydroflavonol 4-reductase’-like proteins (SDR108E) and ‘isoflavone-reductase-like’ (SDR460A) proteins — have undergone significant functional diversification within vascular plants since they diverged from Bryophytes. Interestingly, these diversified families are either involved in the secondary metabolism routes (terpenoids, alkaloids, phenolics) or participate in developmental processes (hormone biosynthesis or catabolism, flower development), in opposition to SDR families involved in primary metabolism which are poorly diversified. Conclusion: The application of HMMs to plant genomes enabled us to identify 49 families that encompass all Angiosperms (‘higher plants’) SDRs, each family being sufficiently conserved to enable simpler analyses based only on overall sequence similarity. The multiplicity of SDRs in plant kingdom is mainly explained by the diversification of large families involved in different secondary metabolism pathways, suggesting that the chemical diversification that accompanied the emergence of vascular plants acted as a driving force for SDR evolution.

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Figure 1 Decision rules used to make an inventory of plant SDRs using three sets of HMM. All the HMM sets were run independently on the 10 predicted proteomes. The complete inventory and the ambiguous predictions are included as supplementary material (Additional file 2: Table S2 and Additional file 1: Table S1).
Figure 1 Decision rules used to make an inventory of plant SDRs using three sets of HMM. All the HMM sets were run independently on the 10 predicted proteomes. The complete inventory and the ambiguous predictions are included as supplementary material (Additional file 2: Table S2 and Additional file 1: Table S1).CC BY · PubMed Central
Figure 2 Distribution of the SDR families in the analyzed plant genomes represented as a heat map. The heat map was built on a distribution matrix deduced from the inventory classification shown in Additional file 2: Table S2. The blue to red color gradient reflects the number of SDR listed in each family in the different genomes; the absence of family is indicated with a white square. The names of the families were deduced from the ‘SDR Nomenclature Initiative’ HMMs or by a representative gene accession for orphan families not recognized by a specific HMM.
Figure 2 Distribution of the SDR families in the analyzed plant genomes represented as a heat map. The heat map was built on a distribution matrix deduced from the inventory classification shown in Additional file 2: Table S2. The blue to red color gradient reflects the number of SDR listed in each family in the different genomes; the absence of family is indicated with a white square. The names of the families were deduced from the ‘SDR Nomenclature Initiative’ HMMs or by a representative gene accession for orphan families not recognized by a specific HMM.CC BY · PubMed Central
Figure 3 Phylogenetic tree of the SDR108E and SDR115E families. The blue arrow indicates the node at the origin of the ‘AnR, 4-DFR and SDR115E’ branch. Amino acid sequences recognized by the SDR108E and SDR115E HMMs were aligned with ClustalW algorithm. The evolutionary history was inferred using the Neighbor-Joining method. The percentages of replicate trees in which the associated taxa clustered together in the bootstrap test (500 replicates) are shown next to the branches. Full references of sequences compressed in different clusters are provided as supplemental data (Additional file 3: figure 1A). Consistent trees were obtained using the Maximum Likelihood method or rooting the tree with other SDR families (SDR1E, SDR6E, SDR31E) as outgroups.
Figure 3 Phylogenetic tree of the SDR108E and SDR115E families. The blue arrow indicates the node at the origin of the ‘AnR, 4-DFR and SDR115E’ branch. Amino acid sequences recognized by the SDR108E and SDR115E HMMs were aligned with ClustalW algorithm. The evolutionary history was inferred using the Neighbor-Joining method. The percentages of replicate trees in which the associated taxa clustered together in the bootstrap test (500 replicates) are shown next to the branches. Full references of sequences compressed in different clusters are provided as supplemental data (Additional file 3: figure 1A). Consistent trees were obtained using the Maximum Likelihood method or rooting the tree with other SDR families (SDR1E, SDR6E, SDR31E) as outgroups.CC BY · PubMed Central
Figure 4 Diversification patterns of plant SDR families deduced from Principal Component Analysis. PCA was calculated on the distribution matrix shown in Figure 2. A) Scatter plot deduced from the two first components: the first and second axes respectively participate for 79% and 9% of the diversity. B) Contribution of different genomes (expressed as vectors) in the first and second axes values. Angiosperms genomes follow the order (anticlockwise): G. max, Z. mays, A. thaliana, S. bicolor, P. trichocarpa, O. sativa, V. vinifera .
Figure 4 Diversification patterns of plant SDR families deduced from Principal Component Analysis. PCA was calculated on the distribution matrix shown in Figure 2. A) Scatter plot deduced from the two first components: the first and second axes respectively participate for 79% and 9% of the diversity. B) Contribution of different genomes (expressed as vectors) in the first and second axes values. Angiosperms genomes follow the order (anticlockwise): G. max, Z. mays, A. thaliana, S. bicolor, P. trichocarpa, O. sativa, V. vinifera .CC BY · PubMed Central
Figure 5 Phylogenetic tree of the SDR110C family. Amino acids sequences recognized by the SDR110C HMM were aligned with ClustalW algorithm. The evolutionary history and the bootstrap test (500 replicates) were computed as described for SDR108E (Figure 3). Full references of sequences compressed in different clusters are provided as supplemental data (Additional file 3: Figure S1B).
Figure 5 Phylogenetic tree of the SDR110C family. Amino acids sequences recognized by the SDR110C HMM were aligned with ClustalW algorithm. The evolutionary history and the bootstrap test (500 replicates) were computed as described for SDR108E (Figure 3). Full references of sequences compressed in different clusters are provided as supplemental data (Additional file 3: Figure S1B).CC BY · PubMed Central
Figure 6 Phylogenetic trees of the chlorophyllase b (NYC1/NOL) family. Amino acids sequences from the AT4G13250 family were aligned with ClustalW algorithm. The evolutionary history and the bootstrap test (500 replicates) were computed as described for SDR108E (Figure 3).
Figure 6 Phylogenetic trees of the chlorophyllase b (NYC1/NOL) family. Amino acids sequences from the AT4G13250 family were aligned with ClustalW algorithm. The evolutionary history and the bootstrap test (500 replicates) were computed as described for SDR108E (Figure 3).CC BY · PubMed Central
Figure 7 Phylogenetic trees of three families involved in lipid primary metabolism. (A) SDR152C-FasII-β-keto-reductase (β-KR); (B): SDR87D-FasII-Enoyl-ACP-reductase (ENR); (C) SDR52E UDP-sulfoquinovose synthase (SQD1). Amino acids sequences recognized by the SDR152C, SDR87D and SDR52E HMMs were aligned with ClustalW algorithm. The evolutionary history and the bootstrap test (500 replicates) were computed as described for SDR108E (Figure 3).
Figure 7 Phylogenetic trees of three families involved in lipid primary metabolism. (A) SDR152C-FasII-β-keto-reductase (β-KR); (B): SDR87D-FasII-Enoyl-ACP-reductase (ENR); (C) SDR52E UDP-sulfoquinovose synthase (SQD1). Amino acids sequences recognized by the SDR152C, SDR87D and SDR52E HMMs were aligned with ClustalW algorithm. The evolutionary history and the bootstrap test (500 replicates) were computed as described for SDR108E (Figure 3).CC BY · PubMed Central

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Metadata

Authors
Moummou, H., Kallberg, Y., Tonfack, L. B., Persson, B., & van der Rest, B.
Venue
BMC Plant Biology
Publisher
Springer Science and Business Media LLC
Published
2012-11-20
Volume
12
Issue
1
ISSN
1471-2229
DOI
10.1186/1471-2229-12-219
PMC
PMC3541173
Cited by
134
References
2
Language
en

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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