Taxonomy of Tobrilidae species from the Alkaline Lakes of the western Nebraska Sandhills
Kategoria artykułu: Research Paper
Data publikacji: 24 sie 2024
Otrzymano: 10 maj 2024
DOI: https://doi.org/10.2478/jofnem-2024-0025
Słowa kluczowe
© 2024 Peter G. Mullin et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Nematodes of the order Triplonchida Cobb, 1919 are comprised of 10 families according to the review of Holovachov and Shoshin (2014). Included are familiar terrestrial families such as Tripylidae de Man, 1876, Prismatolaimidae Micoletsky, 1922, Diphtherophoridae Micoletsky, 1922, and Trichodoridae Thorne, 1935. Tobrilidae De Coninck, 1965 may be the geographically most widespread family in the order, with specimens found predominantly in fresh or brackish water and reported from all continents, including Antarctica (Tsalolikhin, 1981). Tobrilidae are broadly characterized within Triplonchida by a funnel- or cup-shaped stoma, with two teeth at the stoma base (except
The greatest diversity of Tobrilidae has been reported from Lake Baikal, the world's oldest and deepest lake (Naumova and Gagarin, 2019a: Naumova and Gagarin, 2019b; Zullini, 2014). Six genera in Tobrilidae are considered endemic to Lake Baikal (Holovachov and Shoshin, 2014; Naumova and Gagarin, 2019b). Of the 100 morphologically described species in the family, only 12 have been reported from North America (Table 1). Evidence of extreme physiological adaptability within the family is inferred from their ability to withstand a wide range of salinity (Zullini, 2006). Some species have been considered indicators of high levels of contaminating metals (Kang et al., 2023) or anoxic conditions (Teiwes et al., 2007).
Tobrilidae (order Triplonchida) of North America (Holovachov and Shoshin, 2014)
Neotobrilinae Tsalolikhin, 2001 | Neotobrilini Tsalolikhin, 1981 | |
Neotobrilinae Tsalolikhin, 2001 | Neotobrilini Tsalolikhin, 1981 | |
Neotobrilinae Tsalolikhin, 2001 | Neotobrilini Tsalolikhin, 1981 | |
Neotobrilinae Tsalolikhin, 2001 | Neotobrilini Tsalolikhin, 1981 | |
Neotobrilinae Tsalolikhin, 2001 | Neotobrilini Tsalolikhin, 1981 | |
Neotobrilinae Tsalolikhin, 2001 | Neotobrilini Tsalolikhin, 1981 | |
Neotobrilinae Tsalolikhin, 2001 | Epitobrilini Tsalolikhin, 2001 | |
Tobrilinae Tsalolikhin, 2001 | Tobrilini Filipjev, 1918 | |
Tobrilinae Tsalolikhin, 2001 | Tobrilini Filipjev, 1918 | |
Tobrilinae Tsalolikhin, 2001 | Tobrilini Filipjev, 1918 | |
Tobrilinae Tsalolikhin, 2001 | Tobrilini Filipjev, 1918 | |
Tobrilinae Tsalolikhin, 2001 | Tobrilini Filipjev, 1918 |
In this taxonomic study, we examined and compared specimens of Tobrilidae from the Alkaline Lakes of the western Nebraska Sandhills and an agrichemical-contaminated stream in eastern Nebraska (Johnsgard, 1995; Zahid et al., 2024). The Alkaline lakes overlay the Ogallala Aquifer, one of the world's largest underground reservoirs (Haacker, 2024). The five lakes in our study site are isolated from each other, are shallow in depth, and lack tributaries or an aboveground water source. They are maintained by groundwater and are considered evaporative lakes with pH values ranging from 7.5 to 10.5 (Gosselin, 1997; Gattoni et al., 2022). They are geochemically distinctive by their high levels of potassium-rich salts ranging over two orders of magnitude among lakes, depending on year and seasonal conditions. The potassium-to-sodium ratios in the highly alkaline lakes are approximately ten times higher than ocean water or fluids of the human body (Dunigan, 2024). Presumably, the nematodes that exist in the highest potassium levels, Bean, Border, and Kokjohn Lakes in this study, have unique physiological adaptations to regulate membrane potentials. Our goal in this study was to taxonomically characterize the tobrilid nematodes in the Alkaline Lakes by morphology, DNA barcodes, phylogeny, and habitat preferences. As in previous studies (Powers et al., 2016; Matczyszyn et al., 2022), we used discriminant function analysis (DFA) to test the accuracy of morphological characters and ecological attributes in correctly classifying unknown specimens within genetic groupings. We also compared tobrilids from the Alkaline Lakes to those collected from an eastern Nebraska stream that had been contaminated by a major agrichemical spill in 2021 (Zahid et al., 2024). Specimen information for all nematodes in this study, including the Nematode Identification (NID) number, GPS collection location, and GenBank accession number, is presented in Table 2.
Tobrilidae specimen information by Nematode Identification (NID) number, and molecular grouping by COI marker.
7157 | NA | Female | Lancaster | Lincoln landfill | 40.871597; −96.654336 | PP854262 | ||
11092 | NA | Juvenile | Garden | Kokjohn Lake | 41.78259; −102.52226 | PP854263 | ||
11093 | 2 | Female | Garden | Kokjohn Lake | 41.78259; −102.52226 | PP855138 | ||
11096 | NA | Juvenile | Garden | Kokjohn Lake | 41.78259; −102.52226 | PP854264 | ||
11097 | NA | Juvenile | Garden | Kokjohn Lake | 41.78259; −102.52226 | PP854265 | ||
11105 | NA | Neotobrilinae | Intersex | Garden | Gimlet Lake | 41.758702; −102.438185 | PP854246 | |
11890 | 2 | Female | Garden | Bean Lake | 41.77776; −102.53009 | PP855143 | ||
12093 | Singleton 1 | Neotobrilinae | Female | Garden | Border Lake | 41.79170; −102.53385 | PP854247 | PP855091 |
12103 | NA | Neotobrilinae | Female | Garden | Border Lake | 41.79170; −102.53385 | PP854248 | |
12127 | 1 | Female | Garden | Gimlet Lake | 41.75911; −102.43817 | PP854219 | PP855098 | |
12129 | NA | Female | Garden | Gimlet Lake | 41.759109; −102.438171 | PP854227 | ||
12138 | 1 | Female | Garden | Gimlet Lake | 41.75911; −102.43817 | PP854220 | PP855097 | |
12141 | NA | Female | Garden | Kokjohn Lake | 41.782081; −102.522884 | PP854266 | ||
12144 | 2 | Male | Garden | Kokjohn Lake | 41.78208; −102.52288 | PP854267 | PP855137 | |
12168 | NA | Female | Garden | Island Lake | 41.733602; −102.410585 | PP854218 | ||
12193 | 3 | Male | Garden | Island Lake | 41.73466; −102.41114 | PP854261 | PP855127 | |
12194 | NA | Female | Garden | Island Lake | 41.734664; −102.411136 | PP854260 | ||
12195 | NA | Female | Garden | Island Lake | 41.734664; −102.411136 | PP854208 | ||
12204 | Singleton 2 | Neotobrilinae | Juvenile | Garden | Island Lake | 41.73466; −102.41114 | PP854243 | PP855101 |
12397 | NA | Male | Garden | Island Lake | 41.73481; −102.41120 | PP854259 | ||
12400 | NA | Tobrilinae | Female | Garden | Island Lake | 41.73481; −102.41120 | PP854244 | |
12406 | 3 | Female | Garden | Island Lake | 41.73481; −102.41120 | PP854258 | PP855126 | |
12408 | 3 | Female | Garden | Island Lake | 41.73481; −102.41120 | PP854257 | PP855124 | |
12417 | 3 | Male | Garden | Island Lake | 41.73481; −102.41120 | PP854255 | PP855125 | |
12420 | NA | Female | Garden | Island Lake | 41.73481; −102.41120 | PP854256 | ||
12422 | NA | Female | Garden | Border Lake | 41.79230; −102.53349 | PP854268 | ||
12423 | NA | Juvenile | Garden | Border Lake | 41.79230; −102.53349 | PP854269 | ||
12424 | NA | Female | Garden | Border Lake | 41.79230; −102.53349 | PP854270 | ||
12425 | NA | Juvenile | Garden | Border Lake | 41.79230; −102.53349 | PP854271 | ||
12426 | 2 | Juvenile | Garden | Border Lake | 41.79230; −102.53349 | PP854272 | PP855128 | |
12427 | NA | Male | Garden | Border Lake | 41.79230; −102.53349 | PP854273 | ||
12428 | NA | Juvenile | Garden | Border Lake | 41.79230; −102.53349 | PP854274 | ||
12429 | NA | Male | Garden | Border Lake | 41.79230; −102.53349 | PP854275 | ||
12431 | NA | Juvenile | Garden | Border Lake | 41.79230; −102.53349 | PP854276 | ||
12432 | NA | Juvenile | Garden | Border Lake | 41.79230; −102.53349 | PP854277 | ||
12433 | NA | Juvenile | Garden | Border Lake | 41.79230; −102.53349 | PP854278 | ||
12434 | NA | Juvenile | Garden | Border Lake | 41.79230; −102.53349 | PP854279 | ||
12435 | NA | Juvenile | Garden | Border Lake | 41.79230; −102.53349 | PP854280 | ||
12442 | 2 | Male | Garden | Border Lake | 41.79230; −102.53349 | PP854281 | PP855130 | |
12444 | NA | Male | Garden | Border Lake | 41.79230; −102.53349 | PP854282 | ||
12522 | Singleton 3 | Neotobrilinae | Juvenile | Garden | Border Lake | 41.757717; −102.434 | PP854283 | PP855120 |
12523 | 2 | Female | Garden | Border Lake | 41.757717; −102.434 | PP854284 | PP855136 | |
12524 | 2 | Juvenile | Garden | Border Lake | 41.757717; −102.434 | PP855133 | ||
12525 | 2 | Juvenile | Garden | Border Lake | 41.757717; −102.434 | PP854285 | PP855131 | |
12528 | 2 | Female | Garden | Border Lake | 41.79212; −102.53420 | PP854286 | PP855134 | |
12533 | 2 | Male | Garden | Border Lake | 41.79212; −102.53420 | PP854291 | PP855140 | |
12537 | 2 | Male | Garden | Border Lake | 41.79212; −102.53420 | PP854292 | PP855139 | |
12538 | 2 | Female | Garden | Border Lake | 41.79212; −102.53420 | PP854251 | PP855141 | |
12539 | 2 | Female | Garden | Border Lake | 41.79212; −102.53420 | PP854287 | PP855142 | |
12540 | 2 | Female | Garden | Border Lake | 41.79212; −102.53420 | PP854288 | PP855135 | |
12554 | 4 | Neotobrilinae | Male | Garden | Gimlet Lake | 41.75543; −102.43447 | PP855086 | |
12556 | 1 | Tobrilinae | Female | Garden | Gimlet Lake | 41.75543; −102.43447 | PP855099 | |
12559 | 4 | Juvenile | Garden | Gimlet Lake | 41.75543; −102.43447 | PP855059 | ||
12561 | 4 | Juvenile | Garden | Gimlet Lake | 41.75632; −102.43877 | PP855083 | ||
12563 | 2 | Juvenile | Garden | Bean Lake | 41.77068; −102.52883 | PP854250 | PP855144 | |
12574 | 4 | Female | Garden | Bean Lake | 41.77068; −102.52883 | PP854289 | PP855082 | |
12575 | 2 | Female | Garden | Bean Lake | 41.77068; −102.52883 | PP854254 | PP855132 | |
12577 | NA | Juvenile | Garden | Bean Lake | 41.77068; −102.52883 | PP854290 | ||
12582 | 2 | Immature Female | Garden | Bean Lake | 41.77068; −102.52883 | PP855129 | ||
12586 | 1 | Female | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854228 | PP855092 | |
12587 | 1 | Male | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854221 | PP855096 | |
12588 | 1 | Male | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854217 | PP855095 | |
12591 | 1 | Female | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854229 | PP855093 | |
12592 | 4 | Male | Garden | Gimlet Lake | 41.75792; −102.43418 | PP855081 | ||
12593 | 4 | Female | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854234 | PP855084 | |
12595 | 4 | Male | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854206 | PP855080 | |
12596 | 4 | Male | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854207 | PP855079 | |
12597 | NA | Female | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854235 | ||
12598 | NA | Male | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854241 | ||
12599 | 4 | Male | Garden | Gimlet Lake | 41.75792; −102.43418 | PP855078 | ||
12601 | 4 | Male | Garden | Gimlet Lake | 41.75792; −102.43418 | PP855085 | ||
12602 | 4 | Female | Garden | Gimlet Lake | 41.75792; −102.43418 | PP855077 | ||
12605 | 4 | Female | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854249 | PP855076 | |
12606 | 1 | Juvenile | Garden | Gimlet Lake | 41.75792; −102.43418 | PP855094 | ||
12607 | 1 | Female | Garden | Gimlet Lake | 41.75792; −102.43418 | PP854222 | PP855100 | |
12613 | 4 | Juvenile | Garden | Island Lake | 41.73257; −102.40362 | PP854240 | PP855075 | |
12614 | 4 | Juvenile | Garden | Island Lake | 41.73257; −102.40362 | PP854236 | PP855074 | |
12615 | 4 | Juvenile | Garden | Island Lake | 41.73257; −102.40362 | PP854237 | PP855073 | |
12616 | 4 | Juvenile | Garden | Island Lake | 41.73257; −102.40362 | PP854238 | PP855089 | |
12617 | 4 | Juvenile | Garden | Island Lake | 41.73257; −102.40362 | PP854242 | PP855072 | |
12622 | NA | Neotobrilinae | Juvenile | Garden | Island Lake | 41.73257; −102.40362 | PP854245 | |
12623 | NA | Juvenile | Garden | Island Lake | 41.73257; −102.40362 | PP854239 | ||
12624 | 4 | Juvenile | Garden | Island Lake | 41.73257; −102.40362 | PP855071 | ||
12765 | 4 | Juvenile | Garden | Island Lake | 41.73849; −102.40540 | PP855070 | ||
12769 | 4 | Female | Garden | Island Lake | 41.73849; −102.40540 | PP855069 | ||
12770 | 4 | Immature Female | Garden | Island Lake | 41.73849; −102.40540 | PP855068 | ||
12773 | 4 | Immature Female | Garden | Island Lake | 41.73849; −102.40540 | PP855067 | ||
12774 | 4 | Female | Garden | Island Lake | 41.73849; −102.40540 | PP855087 | ||
12775 | 4 | Male | Garden | Island Lake | 41.73849; −102.40540 | PP855066 | ||
12776 | 4 | Juvenile | Garden | Island Lake | 41.73849; −102.40540 | PP855065 | ||
12778 | 4 | Female | Garden | Island Lake | 41.73849; −102.40540 | PP855090 | ||
12779 | 4 | Female | Garden | Island Lake | 41.73849; −102.40540 | PP855064 | ||
12780 | 4 | Female | Garden | Island Lake | 41.73849; −102.40540 | PP855063 | ||
12782 | 4 | Female | Garden | Island Lake | 41.73849; −102.40540 | PP855062 | ||
12786 | 4 | Immature Female | Garden | Island Lake | 41.73849; −102.40540 | PP855061 | ||
12827 | 4 | Female | Garden | Gimlet Lake | 41.75767; −102.43452 | PP855060 | ||
12836 | 4 | Female | Garden | Gimlet Lake | 41.75767; −102.43452 | PP855088 | ||
13994 | 6 | Neotobrilus sp. | Female | Saunders | Johnson Creek 1 | 41.23383; −96.46355 | PP855121 | |
14003 | 6 | Male | Saunders | Johnson Creek 1 | 41.23383; −96.46355 | PP854252 | PP855122 | |
14023 | 6 | Female | Saunders | Johnson Creek 2 | 41.204850; −96.44180 | PP854253 | PP855123 | |
14034 | 5 | Female | Saunders | Johnson Creek 3 | 41.19345; −96.42583 | PP854216 | PP855114 | |
14036 | 5 | Male | Saunders | Johnson Creek 3 | 41.19345; −96.42583 | PP854230 | PP855109 | |
14041 | 5 | Male | Saunders | Johnson Creek 3 | 41.19345; −96.42583 | PP854223 | PP855108 | |
14042 | 5 | Female | Saunders | Johnson Creek 3 | 41.19345; −96.42583 | PP855112 | ||
14044 | 5 | Male | Saunders | Johnson Creek 3 | 41.19345; −96.42583 | PP854215 | PP855110 | |
14045 | 5 | Female | Saunders | Johnson Creek 3 | 41.19345; −96.42583 | PP854231 | PP855107 | |
14047 | 5 | Female | Saunders | Johnson Creek 3 | 41.19345; −96.42583 | PP854224 | PP855115 | |
14053 | 5 | Female | Saunders | Johnson Creek 3 | 41.19345; −96.42583 | PP854214 | PP855106 | |
14054 | 5 | Male | Saunders | Johnson Creek 3 | 41.19345; −96.42583 | PP854232 | PP855105 | |
14059 | 5 | Male | Saunders | Johnson Creek 4 | 41.19048; −96.42437 | PP854225 | PP855116 | |
14061 | 5 | Male | Saunders | Johnson Creek 4 | 41.19048; −96.42437 | PP854213 | PP855117 | |
14063 | 5 | Female | Saunders | Johnson Creek 4 | 41.19048; −96.42437 | PP854233 | PP855102 | |
14065 | 5 | Female | Saunders | Johnson Creek 4 | 41.19048; −96.42437 | PP854226 | PP855103 | |
14067 | 5 | Female | Saunders | Johnson Creek 4 | 41.19048; −96.42437 | PP854209 | PP855104 | |
14071 | 5 | Male | Saunders | Johnson Creek 4 | 41.19048; −96.42437 | PP855113 | ||
14072 | 5 | Male | Saunders | Johnson Creek 4 | 41.19048; −96.42437 | PP854212 | PP855118 | |
14080 | 5 | Male | Saunders | Johnson Creek 5 | 41.17043; −96.40668 | PP854211 | PP855111 | |
14081 | 5 | Female | Saunders | Johnson Creek 5 | 41.17043; −96.40668 | PP854210 | PP855119 |
NA indicates specimen appears only in 18S tree and has no COI clade designation.

Map of Nebraska with the Sandhills region outlined. Area of research on the alkaline lakes in this region is indicated in an enlarged map inset. A second enlarged map inset shows the area of research in eastern Nebraska on an agrichemical contamination site. Red circles indicate the location of sample collections from the stream sediment.
Lake sediments and shoreline soils were analyzed for biogeochemistry at Ward Laboratories, Inc. (Kearney, Nebraska). The summary is presented in Supplementary Tables S1 and S2.
Standard morphological measurements, abbreviations, and definitions.
Females | Vulva | Length from anterior to vulva | |
Females | Males | L | Overall body length |
Females | Males | Tail | Portion of body from anus or cloaca to posterior terminus |
Females | Males | a | Body length/greatest body diameter |
Females | Males | b | Body length/distance from anterior to pharyngo-intestinal valve |
Females | Males | c | Body length/tail Length |
Females | Males | c′ | Tail length/body diameter at anus or cloaca |
Females | V | % Vulva position/body length | |
Females | VA/T | Distance from vulva to anus/tail length | |
Females | Males | Tail % | % Tail length/body length |
Females | Males | C set/lrw | Cephalic seta length/lip region width |
Females | Males | L set/lrw | Labial seta length/lip region width |
Females | Males | StomaL | Length of sclerotized portion of stoma (buccal cavity) |
Females | Males | Dist | Distance between teeth |
Males | Spic | Spicule length | |
Males | Spic/L | % Spicule length/body length | |
Males | Gub | Gubernaculum length | |
Males | Cl-III | Distance between supplement III and cloaca | |
Males | SR | Length of supplement row (I–VI) | |
Males | SR/L | % Length of supplement row/total body length |

llustration of selected characters in Tobrilidae. A) Female heads (NID 12586, 13994) with teeth and tooth distance annotated. B) Female heads with differing tooth pocket arrangements. C) Male (NID 12533) posterior illustrating the numbering of supplements from the cloacal opening forward, with I designating the most posterior supplement and VII the most anterior.
The taxonomic keys, compendia, and references used to infer genus and species identities by morphology included Bongers (1989); Decraemer et al. (2019); Ebsary (1982); Gagarin and Naumova (2016); Holovachov and Shoshin (2014); Naumova and Gagarin (2017); Tsalolikhin and Shoshin (2009); and Zullini (2006).
The 18S primers were 18s1.2a (5′-CGATCAGATACCGCCCTAG-3′) and 18sr2b (5′-TACAAAGGGCAGGGACGTAAT-3′), which produce a 593-bp product once primers are trimmed. 18s1.2a is the slightly re-designed 18s1.2 primer that was originally designed using consensus arthropod sequences (Mullin et al., 2003), while 18sr2b is a slightly redesigned reverse complement of primer rDNA2 from Vrain et al. (1992). This primer set amplifies approximately 630 bp of the 3’ portion of the 18S ribosomal DNA. PCR amplification of 5 uL of ruptured nematode template was conducted using the same conditions as the COI genetic marker except for annealing at 52°C, and 18S amplicon verification, cleaning, and sequencing were as described above. Forty-six of the 87 specimens used in the 18S phylogeny for this study are also represented on the COI phylogenetic tree.
To perform phylogenetic analyses and assess haplotype relationships among barcoded sequences of Tobrilidae, traces of barcode sequences of nematode specimens were edited using CodonCode Aligner Version 9.0 (
Three datasets were created for both female and male Tobrilidae that were identified molecularly as belonging to specific COI HGs (Fig. 3) for use in our discriminant function analyses (DFA). The first dataset for both genders was soil chemistry attributes and the second dataset for both genders was morphological characters (Tables S1 and S2). The third dataset for both genders was a combination of both morphological characters and soil chemistry attributes.

A maximum likelihood COI phylogenetic tree of 90 Nebraska specimens and 21 GenBank accessions. Highlighting in labels indicates lake pH. Green equals neutral, orange equals pH >8.5. Blue boxes around labels identify three specimens that display incongruence between COI and 18S trees. Nematode Identification numbers (NID) start with the prefix N followed by the number of the specimen.
Table 3a describes the morphological characters examined for females only, males only, and both males and females. The following soil chemistry attributes are described in Table 3b: soil pH, % OM, NO3, K, SO4, Zn, Fe, Mn, Cu, Ca, Mg, Na, B, CEC, % H, % K, % Ca, % Mg, % Na, Cl-, and P.
Soil sample chemistry analyses, abbreviations, and definitions.
Soil pH | Soil pH-soil pH 1:1 (1 volume of soil in 1 volume of water) |
% OM | % Organic Matter-Measure of organic matter in soil by % LOI |
NO3 | Nitrate ppm-Nitrate, KCl extractable |
K | Potassium ppm-extracted by ammonium acetate |
SO4 | Sulfate ppm-extracted by Mehlich S-III |
Zn | Zinc ppm-DTPA (diethylenetriaminepentaacetic acid) micronutrient extraction method |
Fe | Iron ppm-DTPA (diethylenetriaminepentaacetic acid) micronutrient extraction method |
Mn | Manganese ppm-DTPA (diethylenetriaminepentaacetic acid) micronutrient extraction method |
Cu | Copper ppm-DTPA (diethylenetriaminepentaacetic acid) micronutrient extraction method |
Ca | Calcium ppm-extracted by ammonium acetate |
Mg | Magnesium ppm-extracted by ammonium acetate |
Na | Sodium ppm-extracted by ammonium acetate |
B | Boron ppm-hot water extracted |
CEC | CEC (meq/100g)-Cation Exchange Capacity: Sum (in meq) of the 4 cations(K+Ca+Mg+Na+)/100g soil |
% H | %H Sat-%Base Saturation |
% K | %K Sat-%Base Saturation |
% Ca | %Ca Sat-%Base Saturation |
% Mg | %Mg Sat-%Base Saturation |
% Na | %Na Sat-%Base Saturation |
Cl- | Chloride ppm-Chloride |
P | Phosphorus ppm-Phosphorus, extracted by Mehlich P-III |
For the three female and three male datasets, the variables (the morphological characters or soil chemistry attributes) were initially inspected for missing values. If a variable was missing in more than 40% of the observations, such as when a morphological character was obscured, or the specimen was not in the appropriate developmental stage, those variables were dropped from further analysis. If the missing percentage was less than 40%, the missing values were replaced with the average of the remaining values. Correlations were then checked for the remaining variables using Pearson's Correlations Coefficient. Correlations were checked for elimination of highly correlated variables from the discriminant analysis. When two variables were highly correlated (greater than 0.8 or lower than −0.8), only one of the variables was retained for further analysis. The variables selected included a consideration of morphological characteristics specific to sex and important soil attributes such as K for the alkaline lake sites.
For each DFA analysis, the list of variables was determined by the correlation matrix. The dataset was normalized and then used in a stepwise variable selection using Akaike's Information Criterion (AIC) (Akaike, 1973). The stepAIC function in R v.4.1.2 (R Core Team, 2021) determined the final set of variables that can distinguish between the HGs from the model with the lowest AIC. Finally, using the selected features from the stepAIC method, linear discriminant analysis (LDA) was used to segment the HGs based on the continuous variables with equal prior probabilities (otherwise known as ‘priors’) for each HG. Three specimens that exhibited COI-18s incongruities were excluded from the morphological analyses used as the basis for the discriminant function analysis.
A total of 226 tobrilid specimens were microscopically examined during this study, 184 from the Alkaline Lake region and 42 from Johnson Creek in eastern Nebraska. Both eastern and western regions of Nebraska contained members of the subfamilies Tobrilinae and Neotobrilinae. Depending on specimen quality, sex, and stage, detailed morphometrics were recorded for a subset of these specimens.
Within- and between-group mean distances of 9 tobrilid COI groups. Within-group distance is shown in bold type.
Group 4 | |||||||||
Group 1 | 0.159155 | ||||||||
Group 5 | 0.165664 | 0.060499 | |||||||
Group 6 | 0.157512 | 0.126478 | 0.111416 | ||||||
Group 3 | 0.158968 | 0.123860 | 0.124103 | 0.096937 | |||||
Group 2 | 0.164354 | 0.131401 | 0.133042 | 0.094518 | 0.093262 | ||||
Group 7 | 0.141845 | 0.141270 | 0.126408 | 0.131963 | 0.140716 | 0.151729 | |||
Group 9 | 0.141204 | 0.110544 | 0.107067 | 0.117939 | 0.117579 | 0.124228 | 0.130528 | ||
Group 8 | 0.173377 | 0.128000 | 0.145053 | 0.158447 | 0.133743 | 0.144301 | 0.183562 | 0.117613 |
Supplements among the six haplotype groups vary in their internal and external complexity, number, and spacing. Members of HG 1 and 5 have submerged supplements that do not protrude more than 1–2 μm above the cuticle surface. All HG 1 males examined have 6 supplements; most HG 5 specimens also have 6 supplements, but a few possess 7. In HG 4, the supplements are also 6 in number, submerged or flush with the body contour. HGs 2, 3, and 6 all have 6 protruding supplements, with the 3 more anterior ones larger and echinate and the posterior 3 smaller and less prominent. The largest gap in supplement spacing for HG 1 is between the cloacal opening and supplement; supplement I was measured from the cloacal opening forward, with I designating the most posterior supplement and VI [or VII] the most anterior (Fig. 2). Supplements IV and V are the closest together. In HG 2 males, supplement I is close to the cloacal opening and the largest gap is between supplements III and IV, separating the 3 larger anterior supplements from the 3 smaller, more posterior ones. HG 3 shows a similar pattern, but the distance between I and II is generally less than in HG 2. For HG 4, I and II are also closer together, and the largest gap is seen between supplements V and VI. HG 6 shows a very similar pattern to that of HG 2, but HG 6 is represented by a single male specimen. HG 5 is very similar to HG 1 in supplement spacing but with a larger gap separating V and VI.

Comparison of the heads of specimens from each of the six Haplotype Groups, with their identification number and lake from which they were collected. Stoma shape, pockets, and tooth distance are featured. Blue box indicates incongruent specimen between COI and 18S trees.

Comparison of male spicules and supplements from haplotype groups one through six. The nematode identification (NID) number and collection location are shown for each. Groups 1, 4, and 5 have supplements that do not conspicuously protrude from the cuticle surface. Groups 2, 3, and 6 have protruding supplements. Group 4 has notably long spicules compared to other groups. The blue box around the label for NID 12595 denotes a specimen incongruent for COI and 18S trees.

Scanning electron micrographs of the male posterior region showing the intersupplementary structures known as micropapillae. A, B) NID 4829 from Border Lake, micropapillae in ventral view appear as four ridges between supplements; C) NID 4841 from Border Lake, micropapillae in lateral view appear as small bumps or papillae.

Scanning electron micrographs of Group 4 male spicules, all from Gimlet Lake, displaying possible pores at the tip. A) NID 4913 tail and close-up of spicules; B) NID 4926 posterior and close-up of spicules; C) NID 4899 spicules.

Comparison of the musculature associated with the vaginal canal in haplotype groups one through six. The Tobrilinae, Groups 1 and 5, display weak or poorly developed vaginal musculature. Group 3 appears to have moderately developed musculature, and Groups 2, 4, and 6 are all characterized by strongly developed muscles arranged in a multi-layered, bulb-like configuration. Blue box around NID 12574 indicates incongruent specimen with respect to the COI and 18S trees and has a strong, bulb-like musculature characteristic of Group 2.

Scanning electron micrographs of the head, amphid and cephalic setae of selected specimens from alkaline lakes in the Nebraska Sandhills. Amphid shapes were categorized as tiny, oval or slit-like. Slit-like amphids were positioned closest to cephalic setae. Inner labial setae are notably shorter than the outer labial and cephalic setae, which are of similar lengths.

Entire body images of female and male specimens from each of the six haplotype groups. The nematode identification (NID) number and collection location are shown for each. Blue box indicates incongruent specimen.

Comparison of female tails from each of the six haplotype groups. The nematode identification (NID) number and collection location is shown for each. Blue box in Group four indicates specimen, NID 12574, considered incongruous between the COI and 18S phylogenies, and which displays differing morphology from the other two individuals.
Comparisons of selected morphological characteristics of the main groups (mean ± standard deviation with range of values)
2366.7 ± 236.6 (2073–2863) | 1999.3 ± 301.7 (1449–2341) | 2032.8 ± 197.9 (1727–2229) | 2729.6 ± 192.1 (2415–2937) | 2079.3 ± 209.8 (1769–2739) | 1225.4 ± 157.7 (1087–1446) | |
31.2 ± 2.1 (29.7–36.1) | 31.5 ± 5.9 (21.8–41.1) | 35.8 ± 2.3 (32.8–39.0) | 33.7 ± 1.1 (32.4–35.2) | 29.7 ± 2.4 (24.1–33.5) | 26.4 ± 1.9 (24.2–28.8) | |
5.6 ± 0.2 (5.4–6.0) | 5.4 ± 0.5 (4.1–6.0) | 6.4 ± 0.3 (6.1–6.7) | 6.7 ± 0.2 (6.4–6.9) | 5.5 ± 0.4 (4.5–6.0) | 4.9 ± 0.2 (4.6–5.2) | |
8.9 ± 0.7 (7.4–9.6) | 10.6 ±1.0 (8.4–11.6) | 7.9 ± 0.4 (7.1–8.2) | 7.1 ± 0.2 (6.9–7.3) | 10.0 ± 2.5 (8.5–19.8) | 9.5 ± 1.8 (7.7–12.0) | |
6.8 ± 0.7 (6.0–8.0) | 4.6 ±0.4 (4.2–5.3) | 7.4 ± 0.5 (6.9–8.1) | 7.8 ± 0.4 (7.2–8.2) | 5.8 ± 0.8 (2.8–6.8) | 5.2 ± 1.2 (3.4–6.1) | |
44.7% ± 2.4% (42.0%–48.5%) | 46.1% ± 3.8% (43.6%–56.4%) | 41.0% ± 1.2% (39.6%–43.0%) | 48.7% ± 1.6% (46.3%–50.6%) | 42.5% ± 3.9% (32.4%–47.1%) | 42.1% ± 1.2% (41.2%–43.8%) | |
265.1 ± 19.3 (239–297) | 188.5 ± 17.6 (154 –210) | 257.8 ± 13.5 (242 –275) | 385.7 ± 23.9 (350–414) | 216.2 ± 34.4 (97–264) | 131.4 ± 11.7 (121–148) | |
3.9 ± 0.4 (3.2–4.4) | 4.7 ± 0.8 (2.7–5.5) | 3.6 ± 0.2 (3.3–3.8) | 2.6 ± 0.1 (2.5–2.8) | 4.7 ± 1.3 (3.7–9.7) | 4.5 ± 1.1 (3.5–6.0) | |
30.7 ± 2.7 (28–36) | 28.9 ± 2.9 (24–34) | 24.3 ± 2.6 (21–28) | 28.9 ± 1.7 (27–31) | 26.8 ± 2.9 (22–31) | 15.4 ± 1.3 (14–17) | |
5.9 ± 2.4 (2–8) | 6.1 ± 2.3 (4–10) | 4.6 ± 1.1 (3–5) | 8.2 ± 0.7 (8–9) | 6.7 ± 1.2 (5–8) | 4.5 ± 1.2 (3–5) | |
19.5% ± 8.4% (4.9%–28.9%) | 21.6% ± 9.3% (13.8%–38.9%) | 19.0% ± 5.1% (12.5%–25.0%) | 28.4% ± 2.1% (25.2%–30.9%) | 25.0% ± 3.6% (17.6%–31.8%) | 28.7% ± 6.8% (19.6%–36.1%) | |
12.3 ± 1.2 (10–14) | 9.7 ± 1.2 (8–12) | 8.5 ± 0.5 (8–9) | 7.5 ± 1.5 (6–10) | 13.1 ± 1.2 (10–15) | 8.3 ± 0.7 (7–9) | |
17.8 ± 4.8 (9–23) | 20.3 ± 4.7 (15–29) | 19.9 ± 4.9 (15–26) | 17.2 ± 2.3 (15–20) | 20.9 ± 1.7 (18–24) | 11.6 ± 1.4 (10–13) | |
24.2 ± 2.4 (19–27) | 32.7 ± 3.8 (25–39) | 29.1 ± 4.6 (24–35) | 24.0 ± 4.9 (19–32) | 23.0 ± 2.2 (20–27) | 22.7 ± 2.3 (19–24) | |
6.3 ± 3.8 (2–13) | 12.4 ± 2.7 (8–16) | 11.3 ± 1.2 (10–12) | 6.7 ± 3.2 (5–12) | 2.1 ± 0.8 (1–4) | 11.0 ± 1.0 (10–12) |
2168.7 ± 54.4 (2114–2223) | 1794.1 ± 152.5 (1579–2026) | 2156.7 ± 183.1 (1899–2307) | 2517.3 ± 161.9 (2244–2663) | 1918.3 ± 142.2 (1623–2146) | 1281.3 ± 0.0 (1281–1281) | |
37.2 ± 3.5 (33.8–40.7) | 35.5 ± 3.3 (30.1–39.1) | 39.4 ± 0.1 (39.3–39.5) | 37.3 ± 3.2 (32.8–41.3) | 34.5 ± 3.3 (26.8–39.4) | 29.6 ± 0.0 (29.6–29.6) | |
5.4 ± 0.3 (5.1–5.6) | 5.3 ± 0.3 (4.8–5.6) | 6.5 ± 0.4 (5.9–6.9) | 6.7 ± 0.3 (6.3–7.0) | 5.5 ± 0.3 (4.3–6.0) | 5.6 ± 0.0 (5.6–5.6) | |
14.0 ± 0.1 (14.0–14.1) | 13.7 ± 3.1 (11.3–20.8) | 11.9 ± 0.6 (11.2–12.6) | 8.9 ± 0.5 (8.5–9.6) | 14.5 ± 1.1 (12.9–16.6) | 10.5 ± 0.0 (10.5–10.5) | |
4.2 ± 0.1 (4.1–4.3) | 3.5 ± 0.6 (2.1–4.1) | 4.7 ± 0.1 (4.6–4.8) | 5.3 ± 0.2 (5.1–5.7) | 3.8 ± 0.4 (2.8–4.8) | 3.8 ± 0.0 (3.8–3.8) | |
66.4% ± 2.6% (63.8%–69.0%) | 63.6% ± 2.4% (61.3%–67.8%) | 66.6% ± 0.5% (66.3%–67.3%) | 64.2% ± 1.7% (61.8%–66.3%) | 66.6% ± 3.6% (59.0%–77.0%) | 68.7% ± 0.0% (68.7%–68.7%) | |
154.6 ± 4.5 (150–159) | 134.8 ± 20.3 (90–158) | 181.8 ± 11.8 (169 –197) | 281.9 ± 14.9 (264–305) | 132.7 ± 10.9 (100–147) | 122.3 ± 0.0 (122–122) | |
26.1 ± 0.7 (25–27) | 25.1 ± 2.9 (22–29) | 20.2 ± 1.5 (18–22) | 26.0 ± 1.2 (25–27) | 22.3 ± 1.8 (18–25) | 13.2 ± 0.0 (13–13) | |
8.5 ± 1.0 (7–9) | 6.2 ± 1.6 (3–8) | 3.3 ± 0.3 (3–4) | 6.7 ± 0.8 (5–7) | 7.2 ± 0.9 (5–9) | 4.2 ± 0.0 (4–4) | |
32.5% ± 4.7% (27.8%–37.3%) | 24.2% ± 7.8% (9.4%–31.5%) | 16.4% ± 0.5% (15.9%–17.0%) | 25.8% ± 3.6% (20.2%–30.3%) | 32.6% ± 3.9% (23.9% –39.2%) | 32.1% ± 0.0% (32.1%–32.1%) | |
12.2 ± 0.2 (12–12) | 8.3 ± 0.5 (8–9) | 9.4 ± 5.3 (5–17) | 7.3 ± 1.4 (5–9) | 12.1 ± 1.4 (9–17) | 8.0 ± 0.0 (8–8) | |
21.0 ± 0.9 (20–22) | 16.5 ± 1.8 (14–19) | 13.8 ± 1.4 (12–16) | 16.3 ± 2.3 (13–19) | 19.0 ± 1.1 (17–21) | 10.0 ± 0.0 (10–10) | |
24.0 ± 0.9 (23–25) | 28.3 ± 2.1 (25–32) | 23.8 ± 0.6 (23–24) | 22.5 ± 2.9 (18–25) | 21.0 ± 1.4 (18–24) | 24.4 ± 0.0 (24–24) | |
3.0 ± 0.0 (3–3) | 11.8 ± 2.2 (7–14) | 9.8 ± 1.1 (9–11) | 6.2 ± 1.9 (5–9) | 2.0 ± 0.8 (1–3) | 14.4 ± 0.0 (14–14) | |
43.3 ± 0.7 (43–44) | 60.6 ± 8.4 (50–74) | 57.2 ± 4.6 (52–63) | 135.8 ± 4.5 (130–143) | 35.4 ± 1.9 (32–40) | 60.3 ± 0.0 (60–60) | |
21.7 ± 1.0 (21–23) | 19.1 ± 4.7 (11–25) | 19.8 ± 1.6 (18–22) | 37.7 ± 5.8 (30–45) | 13.3 ± 2.8 (7–17) | 25.6 ± 0.0 (26–26) | |
6 | 6 | 6 | 6 | 5–7 | 6 | |
submerged | protruding | protruding | submerged | submerged | protruding | |
equal | unequal | unequal | equal | equal | unequal | |
28.2% ± 0.8% (27.4%–28.9%) | 4.4% ± 0.6% (3.5%–5.5%) | 5.0% ± 0.3% (4.7%–5.3%) | 22.7% ± 1.5% (20.3%–24.4%) | 30.1% ± 4.7% (23.9%–42.0%) | 5.0% ± 0.0 (5.0%–5.0%) | |
24.6% ± 4.0% (20.6%–28.6%) | 11.2% ± 1.0% (9.5%–12.6%) | 6.8% ± 1.0% (5.5%–7.9%) | 11.6% ± 1.1% (10.3%–12.9%) | 23.0% ± 2.0% (20.1%–27.4%) | 12.7% ± 0.0% (12.7%–12.7%) | |
22.8% ±1.7% (21.1%–24.5%) | 12.2% ± 1.7% (9.8%–15.2%) | 14.5% ± 1.2% (13.5%–16.3%) | 23.8% ± 2.0% (20.5%–25.3%) | 19.9% ± 1.8% (17.3%–24.6%) | 12.0% ± 0.0% (12.0%–12.0%) | |
21.7% ± 3.7% (18.0%–25.4%) | 34.7% ± 5.2% (25.8%–41.2%) | 39.7% ± 4.6% (34.5%–45.6%) | 9.0% ± 0.7% (8.1%–9.8%) | 19.2% ± 2.1% (14.4%–22.3%) | 31.3% ± 0.0% (31.3%–31.3%) | |
14.4% ± 0.9% (13.5%–15.3%) | 17.3% ± 6.5% (0.0%–19.8%) | 17.9% ± 1.0% (16.5%–18.9%) | 18.3% ± 2.1% (15.9%–21.5%) | 14.9% ± 5.2% (8.6%–31.8%) | 19.0% ± 0.0% (19.0%–19.0%) | |
16.5% ± 6.9% (9.5%–23.4%) | 27.0% ± 11.1% (18.6%–46.0%) | 21.0% ± 1.8% (18.5%–22.9%) | 37.2% ± 5.2% (31.0%–45.2%) | 23.4% ± 5.5% (10.0%–30.8%) | 24.9% ± 0.0% (24.9%–24.9%) | |
156.5 ± 3.9 (153–160) | 77.1 ± 5.1 (70–85) | 67.8 ± 5.7 (62–75) | 181.6 ± 27.0 (150–224) | 143.6 ± 7.1 (131–155) | 65.1 ± 0.0% (65–65 | |
0.3 ± 0.0 (0.3–0.3) | 0.8 ± 0.1 (0.6–0.9) | 0.9 ± 0.1 (0.7–0.9) | 0.8 ± 0.1 (0.6–0.9) | 0.2 ± 0.0 (0.2–0.3) | 0.9 ± 0.0 (1–1) | |
9.6% ± 0.7% (8.9%–10.3%) | 15.7% ± 2.0% (13.7%–20.0%) | 12.0% ± 0.5% (11.3%–12.5%) | 12.4% ± 1.0% (11.3%–13.8%) | 10.3% ± 0.8% (9.1%–12.1%) | 17.1% ± 0.0 (17.1%–17.1%) |
Female Combined – 14 variables were selected using the AIC method and then used for LDA analysis. Six of these variables included morphological characters, and the remaining eight variables were soil chemistry attributes. The most significant morphological characters and soil attributes are presented in Table S1. All 14 variables were used for LDA with almost equal priors. There were 6 groups, the first 4 with a prior of 0.17 and the remaining two groups with a prior of 0.16. There were five linear discriminants (LD) needed to properly discriminate among the haplotype groups, although the first two discriminants accounted for almost 95% of the variation. All the groups were classified correctly into their haplotype groups using the five LDs except 1 specimen in HG 4, which was classified as HG 2 instead (Fig. 12A).
Female Morphological – The seven variables selected using the AIC method for LDA analysis were L, b, c, V, VA/T, L set/lrw, and Dist. All seven variables were used for LDA with almost equal priors. Since there were 6 groups, the first 4 groups had a prior of 0.17, and the remaining two groups had a prior of 0.16. Five linear discriminants (LD) were needed to properly discriminate among the haplotype groups. At least three LDs were needed to account for 90% of the variation in the data. The groups were classified fairly correctly except for a few specimens in HG 2 and HG 4. For HG 1, out of 6, one specimen was classified as HG 5 and the remaining as HG 1. For HG 4, out of 15, one specimen was classified as HG 2 and the remaining as HG 4.
Female Soil Chemistry – The four variables selected using the AIC method for LDA analysis were K, Cu, Mg, and P (Table S1). All four variables were used for LDA with almost equal priors. Since there were 6 groups, the first 4 groups had a prior of 0.17, and the remaining two groups had a prior of 0.16. Five linear discriminants (LD) were needed to properly discriminate among the groups. The first two discriminants accounted for almost 95% of the variation. The haplotype groups were classified correctly only for HG 1 and HG 3; all remaining HGs had some misclassifications. Specimens in HG 2 were classified as HG 3 and HG 4, specimens in HG 4 were classified as HG 3 and HG 6, specimens in HG 5 were classified as HG 1 and HG 6, and finally, specimens in HG 6 were also classified as HG 1 and HG 5.

Linear discriminant analysis (LDA) of haplotype groupings using combined morphological and ecological attributes for A) females; B) males.
Male Combined – 16 variables were selected using the AIC method for LDA analysis. Nine of these variables were morphological characters, and the remaining seven were soil chemistry attributes. The significant morphological characters were L, a, c, C set/lrw, Stoma L, Dist, Cl-III, SR, and SR/L, and important soil attributes were Soil pH, K, Mg, CEC, % Mg, % OM, and P (Table S2). All 16 variables were used for LDA with almost equal priors. Since there are 6 groups, the first 4 groups have a prior of 0.17, and the remaining two groups have a prior of 0.16. Five linear discriminants (LD) were needed to properly discriminate between the haplotype groups. The first two LDs account for almost 98% of the variation. All the groups were classified correctly into their haplotype groups using the five LDs (Fig. 12B).
Male Morphological - Three variables selected using the AIC method for LDA analysis were c, C set/lrw, and Cl-III (Table S2). All three variables were used for LDA with almost equal priors. Since there are 6 groups, the first 4 groups have a prior of 0.17, and the remaining two groups have a prior of 0.16. Three linear discriminants (LD) were needed to properly discriminate between the haplotype groups. The first two LDs accounted for 85% variation in the data. The groups are classified fairly correctly except for one specimen in HG 2, which is classified as HG 3.
Male Soil Chemistry - Four variables selected using the AIC method for LDA analysis were % OM, K, Mg, and % Mg. All four variables were used for LDA with almost equal priors. Since there are 6 groups, the first 4 groups have a prior of 0.17, and the remaining two groups have a prior of 0.16. Four linear discriminants (LD) were needed to properly discriminate between the haplotype groups. The first two discriminants accounted for almost 98% of the variation. The groups were classified correctly only for HG 1, HG 3, and HG 6. The remaining HGs 2, 4, and 5 have some misclassifications. A specimen in HG 2 was classified as HG 3, in HG 4 as HG 1, and in HG 5 classified as HG 6.

A maximum likelihood 18S phylogenetic tree of 88 Nebraska specimens and 19 GenBank accessions.
The Alkaline Lakes of the western Sandhills region of Nebraska constitute an extreme environment. The three Alkaline Lakes at the upper end of the pH and potassium alkalinity spectrum (Bean Lake, Border Lake, and Kokjohn Lake) contain no vertebrate organisms, few macroinvertebrates, and diatoms which, based on their presence in tobrilid guts, are the primary food source of the nematodes. Members of Tobrilidae were prominent in each of the five Alkaline Lakes, with a single COI haplotype group found in the three high pH lakes, and three additional COI haplotype groups distributed between the two neutral pH lakes.
Sediment samples collected in eastern Nebraska from Johnson Creek provide evidence that tobrilid nematodes can survive in different types of extreme environments. In 2021, Johnson Creek was the site of a major contamination event that washed 4 million gallons of highly contaminated sludge containing concentrated seed coat pesticides directly into the creek. The resulting aquatic nematode community was reduced to species mixtures of Tobrilidae and Monhysteridae. Attempts to identify the tobrilid genera and species from the Alkaline Lakes and Johnson Creek have proved challenging.
The most comprehensive morphological key to the genera in Triplonchida is by Zullini (2006). All the specimens examined in this study readily key to Tobrilidae based on the characteristics of the wide or funnel-shaped stoma with two teeth at its base (Figs. 2, 4). The first couplet within Tobrilidae splits the family into Tobrilinae and Neotobrilinae based on fused or adjacent pockets at the stoma base with two teeth 0–8 μm apart (Tobrilinae), versus well-separated, discrete pockets, 6–25 μm apart, posterior to the buccal cavity, each with a single tooth (Neotobrilinae) (Fig. 4). The COI HGs 1 and 5 morphologically key to the genus
Taxonomic uncertainty increases among the specimens morphologically identified as members of the subfamily Neotobrilinae, HGs 2, 3, 4, and 6. HGs 2 and 6 most closely conform to the genus
Characterization of the haplotype groups by partial COI and 18S sequences provided additional phylogenetic insight and some surprises. The COI gene sequences, due to a relatively rapid mutation rate, strongly supported the existence of haplotype groups, but relationships among haplotype groups remained obscure. The 18S sequences did permit grouping of COI-derived haplotype groups but also raised the possibility of past hybridization between nematodes with distinctly different mitochondrial lineages. Three specimens, one female and two males, had the COI sequence indicative of mitochondrial haplotype HG 4, but were members of different 18S clades and did not cluster with the other HG 4 members in the 18S phylogeny. The incongruence was further supported by morphological evidence, in which the female (NID 12574) with the mitochondrial HG 4 haplotype, had the morphological features of HG 2 (Fig. 11). Both male specimens had the morphological features of HG 4, which matched their COI haplotype group but fell into the 18S clade of Tobrilus Group 1.
Discriminant function analysis was most successful when male or female morphological characteristics were used in combination with the environmental chemistry data. Morphology alone or chemistry alone did not achieve the level of discrimination of the combined analyses.
Given the strong signal provided by the environmental chemistry data, it is reasonable to speculate that tobrilid haplotypes may have value as environmental indicators. Improved taxonomy will aid the effort, with a needed emphasis on improved keys for genus and species diagnosis. This study identified some unique characteristics relative to the spicules, inter-supplement cuticles, and amphids. These observations need to be extended across additional species and linked to diagnostic molecular markers. It should be noted that while the COI marker strongly delineates 6 distinct Nebraskan tobrilid groupings, relationships based on 18S suggest that the conventional subfamily groupings may require reconsideration. Specifically, Haplotype group 4, identified as belonging to the genus