| Literature DB >> 26986888 |
Hiroshi Kawai1, Takeaki Hanyuda1, Stefano G A Draisma2, Robert T Wilce3, Robert A Andersen4.
Abstract
The molecular phylogeny of brown algae was examined using concatenated DNA sequences of seven chloroplast and mitochondrial genes (atpB, psaA, psaB, psbA, psbC, rbcL, and cox1). The study was carried out mostly from unialgal cultures; we included Phaeostrophion irregulare and Platysiphon glacialis because their ordinal taxonomic positions were unclear. Overall, the molecular phylogeny agreed with previously published studies, however, Platysiphon clustered with Halosiphon and Stschapovia and was paraphyletic with the Tilopteridales. Platysiphon resembled Stschapovia in showing remarkable morphological changes between young and mature thalli. Platysiphon, Halosiphon and Stschapovia also shared parenchymatous, terete, erect thalli with assimilatory filaments in whorls or on the distal end. Based on these results, we proposed a new order Stschapoviales and a new family Platysiphonaceae. We proposed to include Phaeostrophion in the Sphacelariales, and we emended the order to include this foliose member. Finally, using basal taxa not included in earlier studies, the origin and divergence times for brown algae were re-investigated. Results showed that the Phaeophyceae branched from Schizocladiophyceae ~260 Ma during the Permian Period. The early diverging brown algae had isomorphic life histories, whereas the derived taxa with heteromorphic life histories evolved 155-110 Ma when they branched from the basal taxa. Based on these results, we propose that the development of heteromorphic life histories and their success in the temperate and cold-water regions was induced by the development of the remarkable seasonality caused by the breakup of Pangaea. Most brown algal orders had diverged by roughly 60 Ma, around the last mass extinction event during the Cretaceous Period, and therefore a drastic climate change might have triggered the divergence of brown algae.Entities:
Keywords: Phaeophyceae; Platysiphon; Platysiphonaceae fam. nov.; Stschapoviales ord. nov.; divergence time; molecular phylogeny
Year: 2015 PMID: 26986888 PMCID: PMC5054896 DOI: 10.1111/jpy.12332
Source DB: PubMed Journal: J Phycol ISSN: 0022-3646 Impact factor: 2.923
List of primers used for PCR and sequencing
| Code | F/R | Sequence (5′–3′) | Annealing position |
|---|---|---|---|
| ycf3‐F1P | F | CAAGCDYTAAATAATATWGCTG |
|
| atpB‐F1P | F | GCWAAAGCNCATGGTGGTGT |
|
| atpB‐F1.2P | F | AARGTMGTWGAYYTATTAGC |
|
| atpB‐F1.3P | F | GTHMGHGCNATTGCNATGAGTGC |
|
| atpB‐F2P | F | GCDGTRGAYCCHTTAGATTCA |
|
| atpB‐2R | R | AGCTTGWACAAATCTAAAAATA |
|
| atpB‐R2P | R | GCWATAATATCTTGTAATTC |
|
| atpB‐R2.2P | R | TCKACHACTAADCGRTCTTC |
|
| atpB‐R3P | R | CAYRTAYAAATCRTTTCCTTC |
|
| atpB‐R4P | R | GCWGRKCKATGRATAGGTAA |
|
| atpB‐R1P | R | TTTGCTTTAGMDATWGCTTC |
|
| psaA130F | F | AACWACWACTTGGATTTGGAA |
|
| psaA‐P2 | R | NCCWGACCAAGMWARACAAC |
|
| psaA‐P2.2 | R | TCDGCRTTYTGRAACCAYTC |
|
| psaA‐P3 | R | GCTGGDTTRTARTCACGAACC |
|
| psaA‐P3.2 | R | GCWGGRTTATARTCRCGDACC |
|
| psaA970R | R | GCYTCTARAATYTCTTTCA |
|
| psaA970R2 | R | TRCTATGDCCRATNCCCCAA |
|
| psaA1760R | R | CCTCTWCCWGGWCCATCRCAWGG |
|
| psaA1760R2 | R | CCRTCACAHGGRAAWCGGAA |
|
| psaA‐F3P | F | CWGCWGAYTTTATGGTTCAYC |
|
| psaA‐P4 | R | NGATTCAATHARYTCTTGCC |
|
| psaA‐P5 | F | CAYCATATHCATGCNTTYAC |
|
| psaA‐F1P | F | ATGCAATCNGAYRTTTGGGG |
|
| psaB‐F1P | F | ATGCAATCNGAYRTTTGGGG |
|
| psaB‐F3P | F | WGATGCWCAYMGWCCMCCTG |
|
| psaB‐F3.2P | F | GSTATHGGNCAYAAYATGAAAGA |
|
| psaB‐R2P | R | KAWTGCATACATATGYTGAG |
|
| psaB‐R3P | R | CAATGCCAATARAAHGTAACCC |
|
| psaB‐R3.2P | R | CAATARAAHGTAACCCAWCC |
|
| psaB‐R1P | R | TTCCAGCHGTTGAWGCWATA |
|
| psaB‐F4P | F | CCWTATGCHTTYATGGCAAAAGAT |
|
| psbA‐F | F | ATGACTGCTACTTTAGAAAGACG |
|
| psbA‐F1P | F | ACCGTTTATACATYGGTTGG |
|
| psbA500F | F | CTCTGATGGWATGCCWYTAGG |
|
| psbA600R | R | CCAAATACACCAGCAACACC |
|
| psbA600R2 | R | AWACACCAGCAACACCAGCC |
|
| psbA‐R1P | R | TACGYTCRTGCATTACTTCC |
|
| psbA‐R1 | R | GCTAAATCTARWGGGAAGTTGTG |
|
| psbC‐P1.2 | F | CCACGTGGAAACGCYCTTTA |
|
| psbC‐P1 | F | TAGCTCATGCAGGYWTAATGG |
|
| psbC‐P3 | R | CTTGCCAAGGTTGRATATCATT |
|
| psbC‐P3.2 | R | ATWCCTTTTTCRAARCCAGC |
|
| psbC‐P4 | F | GCGTGAYAAAAAYAAAATGAC |
|
| psbC‐P5 | R | AARAATGGRAAWGAYTCTTC |
|
| psbC‐P6 | F | GAAGCWTCTCAAKCDCARGC |
|
| rbcL‐P2 | F | GAWCGRACTCGAWTWAAAAGTG |
|
| rbc‐R2.5 | R | CCTTCATAAACAACACG |
|
| Ral‐R952 | R | CATACGCATCCATTTACA |
|
| rbcL‐P5 | F | CWTAYYTAAAAACWTTCCAAG |
|
| rbcL‐P4 | R | AGKTGRTGCATYTGRCCACA |
|
| rbcL‐Rh3 | F | TTAAYTCTCARCCDTTYATGCG |
|
| rbcL‐P1 | F | GKGTWATTTGTAARTGGATGCG |
|
| rbcL‐P3 | F | CARTTYGGWGGWGGTACDATTGG |
|
| rbcL‐P3.2 | F | GARGGTCCTGADATTYTACGT |
|
| rbcL‐Pla1 | F | TATTCTCGTGCAGTTGGTAG |
|
| rbcL‐Pla4 | F | ATTTACTAACRGCTTGTGAC |
|
| rbcL‐Pla5 | R | AAAGTATTATAGAATCCTCG |
|
| rbcS‐P1 | R | GGATCATCTGYCCATTCTACAC |
|
| GazF2 | F | CCAACCAYAAAGATATWGGTAC |
|
| cox1‐P1.2 | F | GATHTTYTTTATGGTDATGCC |
|
| cox1‐P2 | R | GGDATACGDCGHGGCATACC |
|
| cox1‐P3 | R | CNGTAAACATRTGRTGVGCC |
|
| cox1‐P4 | F | DGCRGCNTTTACNATGTTTG |
|
| cox1‐P5 | R | TAATACCNCCRGCYAAAACWGG |
|
| cox1‐P5.2 | R | GCHGTDATTAADACHGACCA |
|
| trnI‐P1.2 | R | GCTTATCAGGCGTACACTCT |
|
| trnI‐P1 | R | TTGAACGAWCGVCTTTACGC |
|
*Kawai et al. (2013);
†Silberfeld et al. (2010);
‡Yoon et al. (2002);
§Kawai et al. (2012);
¶Kawai et al. (2007);
**Kawai et al. (2008);
††Hanyuda et al. (2004);
‡‡Lane et al. (2007).
Annealing positions correspond to the sequences of Ectocarpus siliculosus (ycf3, atpB, psaA, psaB, psbA, psbC, rbcL, and rbcS, FP102296: Le Corguillé et al. 2009; cox1 and trnI, FP885846: J.M. Cock unpublished).
Figure 1Maximum likelihood (ML) tree based on the concatenated DNA sequences (chloroplast atpB, psaA, psaB, psbA, psbC, and rbcL genes, and mitochondrial cox1 gene). Numbers on branches indicate bootstrap values from ML analysis (left) and posterior probabilities from Baysian analysis (right). Asterisk (*) indicates 100 (ML) and 1.00 (Bayes). Only posterior probabilities >0.90 and bootstrap values >50% are shown.
Figure 2Bayesian consensus tree based on concatenated DNA sequences (chloroplast atpB, psaA, psaB, psbA, psbC, and rbcL genes, and mitochondrial cox1 gene). Numbers on branches indicate bootstrap values from Baysian analysis. Only posterior probabilities >0.90 are shown and asterisk (*) indicates 1.00.
Figure 3Time tree derived from relaxed molecular clock method implemented in MCMCTREE in PAML 4.7 (Yang 2007). Horizontal bars indicate 95% credible intervals of divergence time estimates. Asterisks on nodes correspond to calibration points. Asterisks 1 and 2 indicate calibration points with fossils (Parker and Dawson 1965 and Rajanikanth 1989, respec‐tively), and minimum time constraints used for nodes were 13 and 99.6 Ma, respectively. Asterisk 3 shows calibration point based on previous molecular clock study (Brown and Sorhannus 2010), and maximum (267 Ma) and minimum (124 Ma) time constraints used on node. Estimated ages and their 95% credible intervals are listed in Table 2 with node numbers.
Comparisons of estimated divergence time in this study (data set 1 and 2) and previous studies; estimated divergence time are expressed in Ma as posterior mean ± 95% credible interval. Node numbers in this table correspond to those shown in Figure 3
| Node | This study (data set 1) | This study (data set 2) | Silberfeld et al. ( | Brown and Sorhannus ( |
|---|---|---|---|---|
| 1 | 258.0 (228.1–277.0) | – | – |
196 (131–267) |
| 2 | 250.7 (220.4–272.0) | – | – |
~160 (~100–225) |
| 3 | 220.3 (192.0–244.5) | – | – | – |
| 4 | 201.3 (161.3–234.8) | – | – | – |
| 5 | 185.5 (160.8–209.4) | 177.0 (156.6–187.9) | ~180 (~150–215) | – |
| 6 | 171.0 (147.8–194.3) | 172.3 (151.6–185.3) | ~170 (~140–205) | – |
| 7 | 147.6 (126.8–169.7) | – | – | – |
| 8 | 131.4 (110.2–155.2) | 128.2 (108.8–147.4) | 128.9 (98.7–162.0) | – |
| 9 | 130.6 (103.0–156.0) | 129.0 (104.1–149.9) | – | – |
| 10 | 113.7 (96.3–133.9) | 112.2 (96.0–129.4) | 118.7 (89.5–148.4) | – |
| 11 | 108.4 (94.6–126.3) | 108.8 (95.4–124.9) | ~110 (~100–130) |
~55 (~20–90) |
| 12 | 100.6 (82.0–121.6) | 93.1 (89.3–121.5) | – | – |
| 13 | 90.5 (75.6–107.1) | 94.6 (79.0–110.4) | 98.0 (72.2–125.0) | – |
| 14 | 83.8 (69.1–100.3) | 87.1 (71.5–103.0) | 84.4 (59.9–110.4) | – |
| 15 | 81.6 (61.6–103.2) | 81.3 (61.9–101.4) | – | – |
| 16 | 81.2 (64.8–98.4) | 80.7 (65.0–96.4) | 85.3 (59.4–111.7) | – |
| 17 | 65.3 (52.0–79.9) | 64.6 (51.6–78.4) | 73.7 (54.6–96.0) | – |
| 18 | 60.1 (47.6–74.2) | 61.0 (48.2–75.0) | 69.7 (51.4–89.3) | – |
| 19 | 59.6 (42.6–79.1) | 57.7 (41.2–76.1) | – | – |
| 20 | 55.5 (39.4–73.5) | 55.3 (39.2–73.0) | 54.9 (33.1–79.4) | – |
| 21 | 41.8 (28.6–57.3) | 41.7 (28.3–57.2) | 62.0 (37.5–89.7) | – |
| 22 | 40.2 (27.4–56.7) | 38.7 (26.5–54.1) | 38.6 (22.0–55.5) | – |
| 23 | 33.3 (20.8–50.8) | 33.9 (20.9–52.2) | 52.7 (34.4–73.7) | – |
*Upper and lower divergence times were estimated by (broad) lognormal and (tight) exponential calibration sets, respectively.
†Detailed data were not shown in Silberfeld et al. (2010) or Brown and Sorhannus (2010), so values were measured with the eye from Figure 2 (Silberfeld et al. 2010) or Figures S1 and S2 (Brown and Sorhannus 2010).