Franco-Belussi Lilian, Provete Diogo B, Leão Taynara R F, Siqueira Mayara S, Valverde Bruno S L, Martins Brenda O, De Oliveira Classius, Fernandes Carlos Eurico
Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79002970, Brazil.
Gothenburg Global Biodiversity Centre, Göteborg, Box 100, S 405 30, Sweden.
Curr Zool. 2021 Jul 23;68(3):361-369. doi: 10.1093/cz/zoab059. eCollection 2022 Jun.
Hematological parameters can provide key information to an animal health status. However, this information is usually hard to obtain. Here, we described the hematological parameters of in the Brazilian Pantanal. We measured red blood cell morphometrics, erythrogram, and leukogram. We also tested for phylogenetic signal in the erythrogram and leukogram of 48 frog species from 15 families, testing if body size explains their variation. Lymphocytes were the most abundant leukocytes (>60%) in , followed by neutrophils (∼10%). Given that is an abundant and widely distributed species in central Brazil, knowing its hematological pattern can help establish a baseline and improve its use as a bioindicator of environmental degradation. Mean corpuscular hemoglobin and value contributed more to the phylomorphospace of erythrogram, in which spp. and had lower values of these variables, whereas and had high values. The phylogenetic signal was spread throughout the dimensions of the leukogram phylomorphospace. The variables that most contributed to it were total leukocytes counts, lymphocytes, and neutrophils. We also found a moderate phylogenetic signal for both the erythrogram and leukogram. Accordingly, body size accounted for a low proportion of variation in both the leukogram (4.7%) and erythrogram (0.57%). By applying phylogenetic comparative methods to hematological parameters, our results add a new perspective on the evolution of blood cell physiology in frogs.
血液学参数可以为动物健康状况提供关键信息。然而，这些信息通常很难获取。在此，我们描述了巴西潘塔纳尔湿地中[具体物种]的血液学参数。我们测量了红细胞形态学、红细胞谱和白细胞谱。我们还对来自15个科的48种蛙类的红细胞谱和白细胞谱进行了系统发育信号测试，检验体型是否能解释它们的变异。淋巴细胞是[具体物种]中最丰富的白细胞（>60%），其次是中性粒细胞（约10%）。鉴于[具体物种]在巴西中部是一种丰富且分布广泛的物种，了解其血液学模式有助于建立一个基线，并提高其作为环境退化生物指标的用途。平均红细胞血红蛋白含量和[具体指标]对红细胞谱的系统发育形态空间贡献更大，其中[具体物种1]和[具体物种2]的这些变量值较低，而[具体物种3]和[具体物种4]的值较高。系统发育信号分布在白细胞谱系统发育形态空间的各个维度上。对其贡献最大的变量是白细胞总数、淋巴细胞和中性粒细胞。我们还发现红细胞谱和白细胞谱都有适度的系统发育信号。因此，体型在白细胞谱（4.7%）和红细胞谱（0.57%）的变异中所占比例较低。通过将系统发育比较方法应用于血液学参数，我们的结果为蛙类血细胞生理学的进化增添了新的视角。
