| Literature DB >> 25552607 |
Ronda L Hamm1, Richard P Meisel2, Jeffrey G Scott3.
Abstract
Sex determination is one of the most rapidly evolving developmental pathways, but the factors responsible for this fast evolution are not well resolved. The house fly, Musca domestica, is an ideal model for studying sex determination because house fly sex determination is polygenic and varies considerably between populations. Male house flies possess a male-determining locus, the M factor, which can be located on the Y or X chromosome or any of the five autosomes. There can be a single M or multiple M factors present in an individual male, in heterozygous or homozygous condition. Males with multiple copies of M skew the sex ratio toward the production of males. Potentially in response to these male-biased sex ratios, an allele of the gene transformer, Md-tra(D), promotes female development in the presence of one or multiple M factors. There have been many studies to determine the linkage and frequency of these male determining factors and the frequency of Md-tra(D) chromosomes in populations from around the world. This review provides a summary of the information available to date regarding the patterns of distribution of autosomal, X-linked and Y-linked M factors, the relative frequencies of the linkage of M, the changes in frequencies found in field populations, and the fitness of males with autosomal M factors vs. Y-linked M. We evaluate this natural variation in the house fly sex determination pathway in light of models of the evolution of sex determination.Entities:
Keywords: Md-traD; autosomal male; genetics of sex; house fly; sex determination
Mesh:
Year: 2014 PMID: 25552607 PMCID: PMC4349091 DOI: 10.1534/g3.114.014795
Source DB: PubMed Journal: G3 (Bethesda) ISSN: 2160-1836 Impact factor: 3.154
Figure 1Sex-determination pathways. The (A) male and (B) female Drosophila sex-determination pathways are shown, along with the house fly (C) male-determining pathway, (D) canonical female-determining pathway, and (E) female-determining pathway via the action of Md-tra. The core of the pathway that is conserved across brachyceran flies is contained within the dashed box. Abbreviations are described in the main text.
Percentages of M and Md-tra in field collected strains of house fly
| Location | IM | IIM | IIIM | IVM | VM | YM | M/+ | M/M | Reference | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Africa | S. Africa | Johannesburg-Pretoria area SA1 | 0 | 0 | 100 | 0 | 0 | ✓ | ✓ | ( | ||
| “ | S. Africa | Johannesburg-Pretoria area SA2 | 0 | 0 | 85 | 0 | 7.4 | 7.4 | 45 | ✓ | “ | |
| “ | S. Africa | Zinkwazi Beach | 0 | ✓ | ✓ | 0 | 0 | 0 | 29 | ( | ||
| “ | S. Africa | Umhlali | ✓ | ✓ | ✓ | 0 | ✓ | 0 | 79 | “ | ||
| “ | S. Africa | Hammarsdale | 0 | ✓ | ✓ | 0 | 0 | 0 | 92 | “ | ||
| “ | S. Africa | Ashburton | ✓ | ✓ | 0 | 0 | ✓ | 0 | 13 | “ | ||
| “ | S. Africa | Mooi River | 0 | ✓ | ✓ | 0 | 0 | 0 | 29 | “ | ||
| “ | S. Africa | Warden | 0 | 0 | 70 | 0 | 0 | 30 | ✓ | 15 | “ | |
| “ | S. Africa | South Africa combined | 26 | “ | ||||||||
| “ | Tanzania | Same | 0 | 100 | 0 | 0 | 0 | 0 | 100 | “ | ||
| “ | Tanzania | Moshi | 0 | 100 | 0 | 0 | 0 | 0 | 100 | “ | ||
| “ | Tanzania | Makuiuny | 0 | 80 | 0 | 0 | 0 | 20 | ✓ | 100 | “ | |
| “ | Tanzania | Arusha | 0 | 100 | 0 | 0 | 0 | 0 | 100 | “ | ||
| “ | Tanzania | Karatu | 0 | 80 | 0 | 0 | 0 | 20 | ✓ | 85 | “ | |
| “ | Tanzania combined | 62 | “ | |||||||||
| “ | Tanzania | ✓ | ( | |||||||||
| Australia | Australia | Ipswich | 0 | 44 | 70 | 2 | 0 | 7 | 92 | 70 | ✓ | ( |
| “ | “ | Bowhill | 0 | ✓ | ✓ | 0 | ✓ | ✓ | ( | |||
| Asia | Japan | Furano | 0 | 0 | 9 | 0 | 0 | 91 | 0 | 0 | ( | |
| “ | “ | Sapporo | 0 | 0 | 29 | 0 | 0.6 | 70 | 0.3 | 0.6 | “ | |
| “ | “ | Akkeshi | 0 | 0 | 21 | 0 | 0 | 79 | 0 | 0 | “ | |
| “ | “ | Obihiro | 0 | 0 | 12 | 0 | 0 | 88 | 0 | 0 | “ | |
| “ | “ | Hachinohe | 0 | 0 | 38 | 0 | 0.5 | 57 | 2 | 4 | “ | |
| “ | “ | Niharu | 5 | 0 | 32 | 0 | 0 | 64 | 0 | “ | ||
| “ | “ | Togakushi | 0 | 8 | 58 | 0 | 0 | 35 | 4 | 28 | “ | |
| “ | “ | Haga | 0 | 2 | 96 | 0 | 0 | 2 | 4 | 17 | “ | |
| “ | “ | Miyagi | 0 | 3 | 35 | 0 | 0 | 63 | 5 | 0 | “ | |
| “ | “ | Hokota | 0 | 2 | 57 | 0 | 0 | 40 | 5 | “ | ||
| “ | “ | Kofu | 0 | 0 | 70 | 0 | 0 | 30 | 24 | 29 | “ | |
| “ | “ | Yumenoshima | 0 | 1 | 74 | 0 | 0 | 25 | 68 | 48 | 99 | “ |
| “ | “ | Aio | 2 | 31 | 29 | 3 | 22 | 12 | 2 | 1 | “ | |
| “ | “ | Kasuya | 1 | 16 | 39 | 0 | 18 | 26 | 20 | 38 | “ | |
| “ | “ | Nangoku | 3 | 0 | 24 | 0 | 3 | 70 | 6 | 13 | “ | |
| “ | “ | Haruno | 0 | 0 | 34 | 0 | 0 | 66 | 2 | 0 | “ | |
| “ | “ | Hachijo | 0 | 0 | 100 | 0 | 0 | 0 | 0 | 0 | “ | |
| “ | “ | Okinawa | 4 | 41 | 48 | 2 | 0 | 4 | 15 | 47 | “ | |
| “ | “ | Ishigaki | 0 | 32 | 54 | 0 | 0 | 14 | 2 | 4 | “ | |
| “ | “ | Kirishima | 0 | ( | ||||||||
| “ | “ | Nichinan | 0 | “ | ||||||||
| “ | “ | Sakurai | 0 | “ | ||||||||
| “ | “ | Kitakyushu | ✓ | ✓ | ✓ | 0 | 0 | ✓ | ✓ | 0 | ( | |
| “ | “ | Kitakyushu | 0 | ✓ | ✓ | 0 | ✓ | ✓ | ✓ | 0 | “ | |
| “ | “ | FR 83 | 80 | 0 | 0 | ( | ||||||
| “ | “ | OH 83 | 0 | 0 | 21 | 0 | 0 | 0 | 0 | 0 | “ | |
| “ | “ | AK 83 | 0 | 0 | 21 | 0 | 0 | 0 | 0 | 0 | “ | |
| “ | “ | SP-YG 83 | 0 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | “ | |
| “ | “ | SP-YG 84 | 0 | 0 | 24 | 0 | 0 | 0 | 0 | 0 | “ | |
| “ | “ | SP-OD 84 | 0 | 0 | 33 | 0 | 0 | 0 | 0 | 0 | “ | |
| “ | “ | IK-RS 84 | 0 | 0 | 24 | 0 | 0 | 0 | 2 | 3 | “ | |
| “ | “ | IK-YU 84 | 0 | 0 | 30 | 0 | 0 | 0 | 0 | 0 | “ | |
| “ | “ | IK-BN 84 | 0 | 0 | 35 | 0 | 0 | 0 | 0 | 0 | “ | |
| “ | “ | OT-ZB 84 | 0 | 0 | 29 | 0 | 0 | 0 | 0 | 0 | “ | |
| Osaka | ✓ | “ | ||||||||||
| Asia/Europe | Turkey | Giresun | ✓ | ✓ | ( | |||||||
| “ | “ | Ordu | ✓ | ✓ | “ | |||||||
| “ | “ | Trabzon | ✓ | ✓ | “ | |||||||
| “ | “ | Giresun | 0 | ✓ | 0 | ✓ | ( | |||||
| “ | “ | Trabzon | 0 | 0 | ✓ | ✓ | “ | |||||
| “ | “ | Kayrak | 0 | ✓ | 0 | “ | ||||||
| “ | “ | Simav | 0 | ✓ | 0 | “ | ||||||
| “ | “ | Izmit | ✓ | ✓ | 0 | ✓ | “ | |||||
| “ | “ | Iskenderun | ✓ | ✓ | ✓ | ✓ | “ | |||||
| “ | “ | Balikesirr | 0 | ✓ | 0 | “ | ||||||
| “ | “ | Polatli | 0 | 0 | 0 | “ | ||||||
| Trabzon | ✓ | ( | ||||||||||
| Europe | British Isles | Fm31 | 0 | 0 | 0 | 0 | 0 | ✓ | ✓ | ( | ||
| “ | “ | Fm39 | 0 | 0 | ✓ | 0 | ✓ | ✓ | “ | |||
| “ | “ | Fm42 | 0 | 0 | 0 | 0 | ✓ | “ | ||||
| “ | “ | Harpenden | ✓ | ✓ | ||||||||
| “ | “ | Fm44 | 0 | 0 | ✓ | 0 | ✓ | 25 | 35-52 | “ | ||
| “ | “ | Fm45 | 0 | 0 | ✓ | 0 | ✓ | ✓ | “ | |||
| “ | England | Fm6 | 0 | 0 | 6 | 0 | 0 | 94 | 6 | ✓ | ( | |
| “ | “ | Fm22 | 0 | 0 | 2.9 | 0 | 0 | 69 | 29 | ✓ | “ | |
| “ | Italy | 12 populations | 0 | 0 | 0 | 0 | 0 | ✓ | ( | |||
| “ | “ | 11 populations | ✓ | ✓ | ✓ | ✓ | “ | |||||
| “ | “ | IT1 | 0 | 0 | 12 | 0 | 0 | 52 | 44 | ( | ||
| “ | “ | IT2 | 0 | 25 | 9 | 0 | 0 | 44 | 43 | “ | ||
| “ | “ | IT3 | 0 | 0 | 0 | 0 | 0 | 50 | 10 | “ | ||
| “ | “ | IT4 | 12 | 9 | 45 | 0 | 0 | 42 | ✓ | 100 | “ | |
| “ | “ | IT5 | 2 | 17 | 50 | 0 | 9 | 62 | ✓ | 100 | “ | |
| “ | “ | IT6 | 3 | 13 | 32 | 0 | 0 | 68 | ✓ | 95 | “ | |
| “ | “ | IT7 | 0 | 3 | 53 | 0 | 0 | 17 | 78 | “ | ||
| “ | “ | IT8 | 9 | 3 | 86 | 3 | 3 | 16 | ✓ | 100 | “ | |
| “ | “ | IT9 | 8 | 17 | 46 | 0 | 0 | 6 | 86 | “ | ||
| “ | “ | IT10 | 3 | 0 | 55 | 3 | 0 | 0 | 95 | “ | ||
| “ | “ | IT11 | 0 | 0 | 76 | 0 | 0 | 3 | 96 | “ | ||
| “ | “ | IT12 | 0 | 0 | 56 | 0 | 0 | 8 | 47 | “ | ||
| “ | Switzerland | Switzerland | 0 | 0 | 0 | 0 | 0 | 50 | 5 | “ | ||
| “ | Germany | GE1 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | “ | ||
| “ | “ | GE2 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | “ | ||
| France | Faverges | ✓ | ( | |||||||||
| Spain | Santa Fé | ✓ | “ | |||||||||
| N. America | USA | Texas | 10 | 0 | ✓ | ( | ||||||
| “ | “ | North Dakota | 8 | 0 | ✓ | “ | ||||||
| “ | “ | Florida | 100 | 0 | 0 | “ | ||||||
| “ | “ | Florida | 0 | 0 | 100 | 0 | 0 | 0 | ( | |||
| “ | “ | North Carolina 2002 | 0 | 0 | 20 | 0 | 0 | 78 | 2.4 | 0 | “ | |
| “ | “ | North Carolina 2006 | 0 | 0 | 19 | 0 | 0 | 78 | 1.4 | 1.4 | ( | |
| “ | “ | North Carolina 2007 | 0 | 0 | 2.3 | 0 | 0 | 95 | 0 | 2.3 | 4.2 | “ |
| “ | “ | New York | 0 | 0 | 4.4 | 0 | 0 | 96 | ( | |||
| “ | “ | Maine | 0 | 0 | 0 | 0 | 0 | 100 | “ | |||
| “ | “ | California- Chino | 0 | 0 | 15 | 0 | 0 | 85 | ✓ | ✓ | (T. Shono and J. G. Scott, personal communication) | |
Blank cells indicate no information available (i.e., experiments not conducted or marker strain for specific autosome not used). ✓, detected, but not quantified.
Values can vary from one study to another primarily based on how males with multiple M factors were categorized. See the individual papers for details.
YM values from some studies indicate only that M was not linked to an autosome, thus linkage of M to Y or to X are possible in some of these studies.
Percentage of males being heterozygous for M at more than one linkage group (e.g., IIM/II; IIIM/III or IIIM/III; XYM). Zeroes indicate that appropriate methods for detection were used and that none were found.
Percentage of males producing only male offspring (i.e., homozygous for at least one autosome (AM/AM, XM/YM, or XM/XM). Zeroes indicate that appropriate methods for detection were used and that none were found.
Populations that have homozygous M males can be reasonably assumed to have Md-tra females. However, these cells were left blank unless there was detection (✓) or quantification of Md-tra.
XM males were found most commonly in this population (male determining factor did not map to an autosome and a male had a karyotype of XX).
Figure 2Schematic representation of the evolution of changes in the linkage of M and frequency of F (Md-tra) in the house fly, M. domestica. Autosomes III and IV are used for illustration purposes but could be any of the autosomes (see Table 1). Genotype is given only for the male unless otherwise specified. Females are assumed to be III+/III+ ; IV+/IV+; XX unless otherwise specified. (A) Changes possible from the ancestral state (XYM, with no autosomomal males). (B) Continued from (A). Schematic representation of the evolution of males and females homozygous for M. (C) Continued from (A). Schematic representation of the evolution of males with copies of M on different autosomes. The AM factors are assumed to be derived from the M factor on Y (Hiroyoshi 1964), and the M factors are thought to incorporate into a specific site on each autosome (Inoue ).
Percentage of male house flies with specific karyotypes
| Percentage | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Location | n | XY | XX | XO | OY | XXX | XXY | YY | Reference | ||
| Africa | S. Africa | SA1 | 31 | 90 | 10 | ( | |||||
| “ | “ | SA2 | 33 | 30 | 64 | 6 | “ | ||||
| Asia/Europe | Turkey | Antalya | 30 | 53 | 47 | ( | |||||
| “ | “ | Incekum | 31 | 74 | 26 | “ | |||||
| “ | “ | Anamur | 31 | 77 | 23 | “ | |||||
| “ | “ | Gulnar | 32 | 34 | 66 | “ | |||||
| “ | “ | Kayrak | 30 | 10 | 90 | “ | |||||
| “ | “ | Y. Cadiri | 32 | 41 | 59 | “ | |||||
| “ | “ | Silifke | 30 | 30 | 70 | “ | |||||
| “ | “ | Atakent | 30 | 60 | 40 | “ | |||||
| “ | “ | Mersin | 36 | 42 | 58 | “ | |||||
| “ | “ | Adana | 30 | 43 | 57 | “ | |||||
| “ | “ | Yumurtalik | 30 | 23 | 77 | “ | |||||
| “ | “ | Karatas | 25 | 56 | 44 | “ | |||||
| “ | “ | Ceyhan | 30 | 70 | 30 | “ | |||||
| “ | “ | Samsun | 32 | 75 | 25 | “ | |||||
| “ | “ | Giresun | 30 | 0 | 100 | “ | |||||
| “ | “ | Trabzon | 33 | 0 | 100 | “ | |||||
| “ | “ | Rize | 30 | 13 | 87 | “ | |||||
| “ | “ | Artvin | 33 | 24 | 76 | “ | |||||
| “ | “ | Erzurum | 32 | 53 | 47 | “ | |||||
| “ | “ | Erzincan | 36 | 83 | 17 | “ | |||||
| “ | “ | Sivas | 33 | 91 | 9 | “ | |||||
| “ | “ | Yozgat | 30 | 77 | 23 | “ | |||||
| “ | “ | Izmit | 30 | 100 | “ | ||||||
| “ | “ | Isparta | 30 | 40 | 60 | “ | |||||
| “ | “ | Bursa | 31 | 68 | 32 | “ | |||||
| “ | “ | Tokat | 36 | 69 | 31 | “ | |||||
| “ | “ | Istanbul | 30 | 23 | 77 | “ | |||||
| “ | “ | Iskenderun | 29 | 24 | 76 | “ | |||||
| “ | “ | Afyon | 28 | 61 | 39 | “ | |||||
| “ | “ | Usak | 32 | 50 | 50 | “ | |||||
| “ | “ | Ismir | 31 | 29 | 71 | “ | |||||
| “ | “ | Manisa | 29 | 55 | 45 | “ | |||||
| “ | “ | Balikesir | 28 | 25 | 75 | “ | |||||
| “ | “ | Simav | 29 | 30 | 70 | “ | |||||
| “ | “ | Ankara | 31 | 71 | 29 | “ | |||||
| “ | “ | Polatli | 31 | 97 | 3 | “ | |||||
| Europe | UK | Fm 42 | 51 | 88 | 4 | 8 | ( | ||||
| “ | “ | Fm 39 | 33 | 58 | 39 | 3 | “ | ||||
| “ | “ | Fm 31 | 28 | 21 | 79 | “ | |||||
| “ | “ | Fm 44 | 47 | 98 | 2 | “ | |||||
| “ | “ | Fm 45 | 48 | 75 | 19 | 4 | 2 | “ | |||
| “ | “ | Harpenden | 223 | 5 | 93 | 2 | 0 | “ | |||
| “ | “ | Fm 3 | 19 | 21 | 79 | ( | |||||
| “ | “ | Fm 9 | 33 | 100 | “ | ||||||
| “ | “ | Fm 6 | 36 | 89 | 11 | “ | |||||
| “ | “ | Fm 13 | 29 | 100 | “ | ||||||
| “ | “ | Fm 11 | 11 | 100 | “ | ||||||
| “ | “ | Fm 14 | 27 | 11 | 89 | “ | |||||
| “ | “ | Fm 22 | 46 | 2 | 98 | “ | |||||
| “ | “ | Fm 29 | 22 | 14 | 82 | 5 | “ | ||||
| “ | France | M1 | 87 | 77 | 15 | 8 | ( | ||||
| “ | France | M2 | 49 | 59 | 41 | “ | |||||
| “ | Yugoslavia | M3 | 69 | 46 | 52 | 1 | “ | ||||
| “ | Italy | M4 | 92 | 85 | 15 | “ | |||||
| “ | Italy | M5 (2r) | 178 | 88 | 12 | “ | |||||
| “ | Italy | M5 (2r) | 94 | 67 | 17 | 16 | “ | ||||
| “ | Italy | M6 | 44 | 50 | 50 | “ | |||||
| “ | Italy | M7 (2r) | 149 | 64 | 36 | 1 | “ | ||||
| “ | Italy | M8 | 56 | 84 | 7 | 9 | “ | ||||
| “ | Italy | M9 (2) | 52 | 83 | 15 | 2 | “ | ||||
| “ | Italy | M10 | 72 | 31 | 67 | 3 | “ | ||||
| “ | Italy | M11 | 46 | 4 | 96 | “ | |||||
| “ | Italy | M12 | 61 | 39 | 57 | 3 | “ | ||||
| “ | Italy | M13 | 63 | 2 | 92 | 6 | “ | ||||
| “ | Italy | M14 | 72 | 19 | 81 | “ | |||||
| “ | Italy | M15 | 43 | 56 | 44 | “ | |||||
| “ | Italy | M16 | 54 | 35 | 61 | 4 | “ | ||||
| “ | Italy | M17 | 62 | 2 | 98 | “ | |||||
| “ | Italy | M18 | 25 | 4 | 96 | “ | |||||
| “ | Italy | M19 | 40 | 15 | 85 | “ | |||||
| “ | Sardinia | M20 | 96 | 10 | 90 | “ | |||||
| “ | Sardinia | M21 | 68 | 9 | 91 | “ | |||||
| “ | Iceland | S1 | 30 | 100 | “ | ||||||
| “ | Denmark | S2-3-42 | 105 | 100 | “ | ||||||
| “ | Netherlands | S5-6r-7 | 162 | 100 | “ | ||||||
| “ | Germany | S8 | 85 | 100 | |||||||
| “ | Switzerland | S9-10-11 | 167 | 100 | “ | ||||||
| “ | Italy | A1-2-3-4-5 | 130 | 100 | “ | ||||||
| “ | Italy | A6-7-8-9 | 253 | 100 | “ | ||||||
| “ | Sicily | A10-11 | 83 | 100 | “ | ||||||
| Total | 4416 | 45 | 53 | 0.27 | 0.09 | 0.07 | 0.36 | 1.8 | |||
Blank cells equal 0%.
Figure 3The relative percentage of males with M on each of the chromosomes. Results were calculated from the data in Table 1. Values represent relative percentages, as different reports used in Table 1 accounted for males with multiple M factors using different calculations. Studies failing to find a linkage of M to an autosome called these strains YM, although in the absence of karyotype information these strains could also be XM.
Examples of the different percentages of males produced by different male genotypes assuming that the population lacks Md-tra
| Male Genotype | % males in F1 |
|---|---|
| IIIM/III | 50 |
| XYM | 50 |
| IIM/II;IIIM/III | 75 |
| IIIM/III;XYM | 75 |
| IIM/II;IIIM/III;/IVM/IV | 87.5 |
| IIIM/III;IVM/IV;XYM | 87.5 |
| IM/I;IIM/II;IIIM/III;IVM/IV | 93.4 |
| IM/I;IIM/II;IIIM/III;IVM/IV;VM/V | 96.9 |
| IIM/II;IIIM/IIIM;XYM | 100 |
| IIIM/IIIM | 100 |
| IIM/II;IIIM/IIIM | 100 |
| IIM/IIM;IIIM/IIIM | 100 |
| IIM/II;IIIM/IIIM;IVM/IV;XYM | 100 |
Nearly all of these genotypes have been observed in field collected flies, although others exist as well (Hamm ; Hamm and Scott 2008, 2009). In theory, any of the five autosomes could exhibit these genotypes and produce the same proportion of male offspring (e.g., IIIM/IIIM or VM/VM both produce only male progeny in the absence of Md-tra).