| Literature DB >> 33304646 |
Priscila S Carvalho1,2, Hussam Zaher3, Nelson J da Silva4, Diego J Santana1.
Abstract
BACKGROUND: Studies with integrative approaches (based on different lines of evidence) are fundamental for understanding the diversity of organisms. Different data sources can improve the understanding of the taxonomy and evolution of snakes. We used this integrative approach to verify the taxonomic status of Hydrodynastes gigas (Duméril, Bibron & Duméril, 1854), given its wide distribution throughout South America, including the validity of the recently described Hydrodynastes melanogigas Franco, Fernandes & Bentim, 2007.Entities:
Keywords: Biodiversity; Integrative taxonomy; Melanism; Neotropical region; Polymorphism; Squamata; Synonymization; Watersheds; Xenodontinae
Year: 2020 PMID: 33304646 PMCID: PMC7698695 DOI: 10.7717/peerj.10073
Source DB: PubMed Journal: PeerJ ISSN: 2167-8359 Impact factor: 2.984
Figure 1Distribution of analyzed data in this study.
Sample localities for (A) molecular and (B) morphology of Hydrodynastes analyzed in this study.
Voucher information and GenBank numbers.
Specimens used for the molecular analyses, including GenBank numbers for mitochondrial 16S and Cytb, nuclear Cmos and NT3 sequences. * data not available in the original references.
| CHUNB52057 | Brazil, Maranhão, Carolina |
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| This study | |
| CHUNB47129 | Brazil, Mato Grosso, Alta Floresta |
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| – | – | This study | |
| CHUNB63637 | Brazil, Mato Grosso, Nova Xavantina |
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| This study | |
| MZUSP17831 | Brazil, Mato Grosso, Itaúba |
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| This study | |
| UFMT7550 | Brazil, Mato Grosso, Tangará da Serra |
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| This study | |
| UFMT7551 | Brazil, Mato Grosso, Tangará da Serra |
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| This study | |
| 1817 (MZUSP) | Brazil, Mato Grosso, Sapezal |
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| This study | |
| MZUSP20580 | Brazil, Rondônia, Porto Velho, Mutum |
| – | – |
| This study | |
| CHUNB38982 | Brazil, Tocantins, Arraias |
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| – | This study | |
| CHUNB40618 | Brazil, Tocantins, Mateiros | – |
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| This study | |
| CHUNB40619 | Brazil, Tocantins, Mateiros |
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| This study | |
| MZUSP15560 | Brazil, Tocantins, UHE Peixe Angical |
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| – | This study | |
| INALI6573 | Argentina, Chaco, San Fernando |
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| This study | |
| INALI4779 | Argentina, Corrientes, General San Martín |
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| This study | |
| INALI6867 | Argentina, Corrientes, Mburucuya |
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| This study | |
| LGE7992 | Argentina, Formosa, Pirané |
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| This study | |
| INALI6731 | Argentina, Formosa, Pilcomayo |
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| This study | |
| MZUSP11704 | Brazil, Amapá |
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| This study | |
| INPA-HT5513 | Brazil, Amazonas, Careiro |
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| This study | |
| INPA-HT190 | Brazil, Amazonas, Manaus |
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| This study | |
| MTR19444 | Brazil, Amazonas, Manacapuru |
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| This study | |
| CHUNB65028 | Brazil, Mato Grosso, Nossa Senhora do Livramento |
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| This study | |
| MAP-T3894 | Brazil, Mato Grosso do Sul, Porto Murtinho |
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| This study | |
| MAP4050 | Brazil, Mato Grosso do Sul, Porto Murtinho |
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| This study | |
| ZUFMS-REP2392 | Brazil, Mato Grosso do Sul, Anastácio |
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| This study | |
| ZUFMS-REP 2393 | Brazil, Mato Grosso do Sul, Corumbá |
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| This study | |
| ZUFMS-REP 2395 | Brazil, Mato Grosso do Sul, Miranda |
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| This study | |
| ZUFMS-REP 2476 | Brazil, Mato Grosso do Sul, Corumbá |
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| This study | |
| ZUFMS-REP 2389 | Brazil, Minas Gerais, Fronteira |
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| This study | |
| MPEG21864 | Brazil, Pará, Melgaço |
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| This study | |
| AAGARDA8745 | Brazil, Rio Grande do Norte, Nísia Floresta |
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| This study | |
| AAGARDA12357 | Brazil, Rio Grande do Norte, Canguaretama |
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| – | – | This study | |
| INPA-HT5427 | Brazil, Rondônia, Porto Velho, Teotônio |
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| – | This study | |
| MZUSP18572 | Brazil, Rondônia, Porto Velho, Mutum |
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| This study | |
| MZUSP18573 | Brazil, Rondônia, Porto Velho, Abunã |
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| This study | |
| MZUSP19710 | Brazil, Rondônia, Porto Velho, Abunã |
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| This study | |
| MZUSP20449 | Brazil, Rondônia, Porto Velho, Abunã |
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| This study | |
| AF2382 | French Guiana, Matoury |
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| This study | |
| PINV1580254 | Paraguay, Alto Paraguay |
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| This study | |
| MPEG24383 | Brazil, Maranhão, Carolina |
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| This study | |
| MPEG24384 | Brazil, Maranhão, Carolina |
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| This study | |
| MZUSP19557 | Brazil, Maranhão, Carolina |
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| This study | |
| IBSP65144 | Brazil, Tocantins, Lajeado | – |
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| This study | |
| UFMS-REP3446 | Brazil, Tocantins, Palmas |
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| This study | |
| MZUSP13278 | * |
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| KU222204 | * |
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PartitionFinder 2 model of nucleotide substitution.
Best-fitting partitioning scheme model of nucleotide substitution for 16S, Cytb, Cmos and NT3 genes.
| Partitioning scheme | Model |
|---|---|
| Cytb1, 16S | GTR+G |
| Cytb2, Cmos2 | HKY+I |
| Cytb3 | HKY+G |
| NT32, Cmos3, Cmos1 | JC |
| NT31, NT33 | K80+I+G |
Meristic characters in Hydrodynastes gigas and Hydrodynastes melanogigas.
| Variables | |||||
|---|---|---|---|---|---|
| Male | Female | Undetermined | Male | Female | |
| SLl | 8 ( | 8 ( | 8 ( | 8 ( | 8 ( |
| ILr | 9 ( | 9 ( | 10 ( | 8 ( | 9 ( |
| Ill | 9 ( | 9 ( | 10 ( | 9 ( | 10 ( |
| LO | 1 ( | 1 ( | 1 ( | 1 ( | 1 ( |
| PE | 1 ( | 1 ( | 1 ( | 1 ( | 1 ( |
| PO | 2 ( | 1 ( | 2 ( | 2 ( | 2 ( |
| SO | 2 ( | 2 ( | 3 ( | 3 ( | 3 ( |
| AT | 1 ( | 1 ( | 2 ( | 2 ( | 2 ( |
| PT | 1+2 ( | 2 ( | 2+2 ( | 1+3 ( | 1+3 ( |
| NA | 2 ( | 2 ( | 2 ( | 2 ( | 2 ( |
| IL+G1 | i-iv ( | i-ii ( | i-iv ( | i-iv ( | i-v ( |
| IL+G2 | 0 ( | 0 ( | v ( | v ( | vi ( |
| AP | 2 ( | 2 ( | 2 ( | 2 ( | 2 ( |
| AD | 17 ( | 18 ( | 19 ( | 19 ( | 19 ( |
| MD | 17 ( | 17 ( | 17 ( | 17 ( | 18 ( |
| PD | 14 ( | 14 ( | 15 ( | 14 ( | 15 ( |
| PV | 1 ( | 1 ( | 1 ( | 1 ( | 1 ( |
| VE | 150–164 | 152–169 | 154–168 | 168–172 | |
| SC | 58(9) –88 | 49(30)–84 | 71–86 | 70(24) –79 | |
Notes.
In parenthesis the sampled number (n).
right supralabials
left supralabials
right infralabials
left infralabials
loreal
preoculars
postoculars
suboculars
anterior temporals
posterior temporals
nasal
infralabials in contact with first pair of genials
infralabials in contact with second pair of genials
apical pits
anterior dorsal scale rows
midbody dorsal scale rows
posterior dorsal scale rows
preventrals
ventral
subcaudal
75 specimens present autotomized tail.
specimens present only the head or other body part.
Morphometric measurement in Hydrodynastes gigas and Hydrodynastes melanogigas.
| Variables | ||||
|---|---|---|---|---|
| Male | Female | Male | Female | |
| SVL | 249–1747 ( | 277–1879 ( | 468–1548 ( | 524–2198 ( |
| TL | 84 (25)–580 ( | 71–543 ( | 180–548 ( | 105–532 ( |
| HL | 20.57–67.94 ( | 21.65–78.61 ( | 30.04–55.48 ( | 32.63–69.21 ( |
| HW | 7.24–21.54 ( | 7.19–21.77 ( | 9.12–17.89 ( | 9.80–47.25 ( |
| DN | 2.89–12.93 ( | 3.51–11.97 ( | 4.17–9.47 ( | 4.78–10.68 ( |
| EN | 3.19–12.55 ( | 3.70–14.01 ( | 5.09–9.44 ( | 4.88–11.58 ( |
| ED | 4.19–8.55 ( | 4.12–8.41 ( | 4.85–7.64 ( | 5.08–7.95 ( |
| AC | 7.17–25.63 ( | 8.03–26.76 ( | 11.39–21.26 ( | 9.98–27.64 ( |
Notes.
In parenthesis the sampled number (n).
snout-vent length (from the tip of the snout to the cloaca)
tail length
head length (from the tip of the snout to the quadratemandibular articulation)
head width (length of the widest part of head)
distance between nostrils (maximum distance between the nostrils)
distance between eye and nostril
eye diameter
head height (maximum distance between the base of the mandible and the parietal surface
Figure 2Concatenated tree (16S, Cytb, C-mos and NT3) of the genus Hydrodynastes recovered by Bayesian analysis in MrBayes.
Numbers near the nodes correspond to support values indicate by posterior probability (pp). Asterisks indicate samples identified as H. melanogigas. Photo credit: Karoline Ceron.
Unconrrected p-distance of 16S (lower left) and Cytb (upper right) mitochondrial fragment gene for the genus Hydrodynastes.
Bold the p-distance between H. gigas and H. melanogigas for the two genes.
| 1 | 2 | 3 | 4 | 5 | ||
|---|---|---|---|---|---|---|
| 1 | 0.367 | 0.347 | 0.376 | 0.366 | ||
| 2 | 0.084 | 0.366 | 0.313 | 0.341 | ||
| 3 | 0.126 | 0.118 | 0.129 | 0.123 | ||
| 4 | 0.128 | 0.097 | 0.043 | |||
| 5 | 0.130 | 0.099 | 0.042 |
Figure 3Results of a Principal Component Analysis (PCA) on the morphometric variables.
Males (A) and females (B) of Hydrodynastes gigas and H. melanogigas. Black circle corresponds to H. gigas and red circle to H. melanogigas. SVL, snout-vent length; HL, head length; HW, head width; DN, distance between nostrils; EN, distance between eye and nostril; ED, eye diameter; HH, head height.
Figure 4Dorsal and ventral view of the melanism gradient in Hydrodynastes melanogigas.
MZCEULP 1218 (A, B); MZCEULP 516 (C D,) ; MZCEULP 1046 (E, F); MZCEULP 1273 (G, H); MZCEULP 758 (I, J); MZCEULP 938 (K, L). All specimens from Tocantins-Araguaia basin. Scale of 50 mm.
Figure 5Dorsal and ventral view of the coloration gradient in Hydrodynastes gigas.
La Plata basin UFMT 9076 (A, B); Amazon basin CHUNB 15159 (C, D); Tocantins-Araguaia basin MPEG 18012 (E, F), MPEG 18071 (G, H), MPEG 18046 (I, J), MPEG 18070 (K, L). Scale of 50 mm.
Figure 6Dorsal and ventral view of the body and lateral view of the head in Hydrodynastes gigas.
Amazon basin MPEG 22652 (A, B, C), CHUNB 56729 (D, E, F), MPEG 18674 (G, H, I); East Brazil CHUFPB 4611 (J, K, L); La Plata Basin UFMT 026 (M, N, O), ZUFMS 2389 (P, Q, R). Scale of 50 mm for body view and scale of 20 mm head view.
Figure 7Dorsal and ventral view of the ontogenetic variation in Hydrodynastes gigas.
Amazon basin CHUNB 66534 (A, B); Parnaiba basin CZDP 077 (C, D); East Brazil CHUFPB 14837 (E, F); La Plata basin ZUFMS 1603 (G, H); Tocantins-Araguaia basin CHUNB 22053 (I, J). Scale of 30 mm.
Figure 8Hemipenial morphology.
Hydrodynastes gigas: Amazon basin MZUSP 18572 (A) asulcate and (B) sulcate side. Northeast South America basin MPEG 25438 (C) asulcate and (D) sulcate side. La plata basin ZUFMS 1910 (E) asulcate and (F) sulcate side; MHNCI 4511 (G) asulcate and (H) sulcate side; UFSM 1937 (I) asulcate and (J) sulcate side. Hydrodynastes melanogigas Tocantins-Araguaia basin CHUNB 12802 (K) asulcate and (L) sulcate side. Scale of 10 mm.
Figure 9Lectotype MNHN 3623 Hydrodynastes gigas.
Dorsal (A) and ventral (B) views of the body and head view (C). Credit: Hussam Zaher. Scale of 50 mm for body view and scale of 10 mm head view.
Figure 10Geographic distribution of Hydrodynastes gigas in South America.
We compiled data from the literature, specimens and tissues analyzed.