| Literature DB >> 32545389 |
Monika Reissmann1, Walburga Lutz2, Dietmar Lieckfeldt3, Edson Sandoval-Castellanos4, Arne Ludwig1,3.
Abstract
Although the European roe deer (Capreolus capreolus) population of North-West Germany has a remarkable number of melanistic specimens between 10% and 25%, the underlying genetic mutation-causing melanism is still unknown. We used a gene targeting approach focusing on MC1R and ASIP as important genes of coat coloration. Overall, 1384 bp of MC1R and 2039 bp of ASIP were sequenced in 24 specimens and several SNPs were detected. But only the ASIP-SNP c.33G>T completely segregated both phenotypes leading to the amino acid substitution p.Leu11Phe. The SNP was further evaluated in additional 471 samples. Generally, all black specimens (n = 33) were homozygous TT, whereas chestnut individuals were either homozygote GG (n = 436) or heterozygote GT (n = 26). Considering the fact that all melanistic animals shared two mutated alleles of the strongly associated SNP, we concluded that melanism is inherited in a recessive mode in European roe deer.Entities:
Keywords: ASIP; MC1R; cervid; coat color; melanistic
Year: 2020 PMID: 32545389 PMCID: PMC7349051 DOI: 10.3390/genes11060647
Source DB: PubMed Journal: Genes (Basel) ISSN: 2073-4425 Impact factor: 4.096
Figure 1Chestnut and melanistic European roe deer (photo presented by Jan Piecha).
Primers and annealing temperatures.
| Primer | Sequence 5′–3′ | Length | Temp. |
|---|---|---|---|
| MC1R-1 up | CCC ACG GGC CAG GAG GAA | 708 bp | 62 °C |
| MC1R-1 low | GCA GGG CGT AGA AGA TGG AGA TGT | ||
| MC1R-2 up | GCC ATC GCC AAG AAC CGC AAC C | 944 bp | 63 °C |
| MC1R-2 low | ACC ATC TCC CCA GCC TCC TCA TTC | ||
| ASIP-A up | GGC ATT ACT GGG GAC CTA TCA AC | 941 bp | 56 °C |
| ASIP-A low | CAA CCC TGG CAT GAA AGA ACT A | ||
| ASIP-B up | CCC CAA GCC GCT ATC AGG A | 1068 bp | 56 °C |
| ASIP-B low | TGC AGA CCT AGA GCC AGA GAC | ||
| ASIP-C up | GGG ATA CCG GAA ACA CAA GAC CAT | 469 bp | 56 °C |
| ASIP-C low | GGC ATG CAA CCC TGG ACA ATC | ||
| ASIP-33-A1 | GAA GCA CAG GCA GGC CAG C | 44 bp | 57 °C |
| ASIP-33-A2 | GGA AGC ACA GGC AGG CCA GA | ||
| ASIP-33-C | CAG CCG CCT CCT CCT GGC TA |
Distribution of the four SNPs in the ASIP gene depending on coat color.
| SNP | Region | Genotype | Black | Chestnut |
|---|---|---|---|---|
| c.1-270C>A | Promotor | CC | 19 | 4 |
| CA | 1 | 0 | ||
| c.1-91A>G | Promotor | AA | 14 | 4 |
| AG | 6 | 0 | ||
| c.33G>T | Exon 1 | GG | 0 | 4 |
| TT | 20 | 0 | ||
| c.161-170C>A | Intron 1 | CC | 20 | 2 |
| CA | 0 | 2 |
Figure 2Alignment of amino acid sequences for the first part of ASIP exon 1 (AS1 to AS20) for white-tailed deer (GenBank XM_020889165), horse (GenBank AF288358), cattle (GenBank AH013175), pig (GenBank GQ373180), sheep (GenBank EU420022), and human (GenBank NM_001672). AA p.11 is bold, change in melanistic European roe deer is red, interspecific amino acids are blue.
Results of blind test of SNP c.33G>T in 471 European roe deer (details in Table S1).
| Origin | GG | GT | TT | Phenotype |
|---|---|---|---|---|
| North-West Germany | 281 | Chestnut | ||
| 25 | Chestnut | |||
| 11 | Black | |||
| United Kingdom | 126 | Chestnut | ||
| 1 | Chestnut | |||
| Saxony-Anhalt Germany | 25 | Chestnut | ||
| 2 | Black |
Tests of randomness of genotype and phenotype frequencies. Multinomial and contingency table tests were carried out for different types of categories for genotypes, for each geographical sample, and with two or three genotype categories. As we tested associations with two phenotypes hypothesized to be caused by two genotype categories, a two genotype categories test was statistically justified. NA means that the test was not able to be computed, generally because of mathematical obstacles (e.g., a division by zero).
| Type of Genotype Categories | Nr. of Genotype Categories | Sample | χ2 | ||
|---|---|---|---|---|---|
| Contingency table | Independent genotypes | 2: (GG/GT), (TT) | North-West Germany | 341.00 | <1.0 × 10−10 |
| United Kingdom | NA * | NA * | |||
| Saxony-Anhalt Germany | 27.000 | 2.03 × 10−7 | |||
| Pooled | 495.00 | <1.0 × 10−10 | |||
| 3: (GG), (GT), (TT) | North-West Germany | 341.00 | <1.0 × 10−10 | ||
| United Kingdom | NA * | NA * | |||
| Saxony-Anhalt Germany | 27.000 | 1.37 × 10−6 | |||
| Pooled | 495.00 | <1.0 × 10−10 | |||
| Hardy–Weinberg equilibrium | 2: (GG/GT), (TT) | North-West Germany | 1879.1 | <1.0 × 10−10 | |
| United Kingdom | 0.00196 ** | 0.9646 ** | |||
| Saxony-Anhalt Germany | 362.64 | <1.0 × 10−10 | |||
| Pooled | 3792.3 | <1.0 × 10−10 | |||
| 3: (GG), (GT), (TT) | North-West Germany | 1917.3 | <1.0 × 10−10 | ||
| United Kingdom | 0.00198 ** | 0.999 ** | |||
| Saxony-Anhalt Germany | 366.66 | <1.0 × 10−10 | |||
| Pooled | 3835.0 | <1.0 × 10−10 | |||
| By alleles | Alleles: (G), (T) | North-West Germany | 466.43 | <1.0 × 10−10 | |
| United Kingdom | NA * | NA * | |||
| Saxony-Anhalt Germany | 54.000 | <1.0 × 10−10 | |||
| Pooled | 690.23 | <1.0 × 10−10 | |||
| Multinomial | Independent genotypes | 2: (GG/GT), (TT) | North-West Germany | 5.75 × 10−47 | |
| United Kingdom | NA * | ||||
| Saxony-Anhalt Germany | 0.00022 | ||||
| Pooled | 1.59 × 10−54 | ||||
| 3: (GG), (GT), (TT) | North-West Germany | 4.77 × 10−48 | |||
| United Kingdom | NA *** | ||||
| Saxony-Anhalt Germany | NA *** | ||||
| Pooled | 2.22 × 10−56 | ||||
| Hardy–Weinberg equilibrium | 2: (GG/GT), (TT) | North-West Germany | 1.66 × 10−59 | ||
| United Kingdom | NA *** | ||||
| Saxony-Anhalt Germany | 7.37 × 10−6 | ||||
| Pooled | 1.19 × 10−84 | ||||
| 3: (GG), (GT), (TT) | North-West Germany | 9.92 × 10−71 | |||
| United Kingdom | NA *** | ||||
| Saxony-Anhalt Germany | 1.81 × 10−7 | ||||
| Pooled | 1.03 × 10−71 | ||||
| By alleles | Alleles: (G), (T) | North-West Germany | 1.16 × 10−70 | ||
| United Kingdom | NA *** | ||||
| Saxony-Anhalt Germany | 1.30 × 10−7 | ||||
| Pooled | 1.21 × 10−84 |
* Not computable, too many zeros. ** Dubious validity, too many missing categories. *** Not computable, undetermined value.