Hoplopleura dissicula Johnson, 1964

Kazim, Abdul-Rahman, Houssaini, Jamal, Tappe, Dennis & Heo, Chong-Chin, 2022, An annotated checklist of sucking lice (Phthiraptera: Anoplura) from domestic and wild mammals in Malaysia, with lists of hosts and pathogens, Zootaxa 5214 (3), pp. 301-336 : 310

Hoplopleura dissicula Johnson, 1964

Hoplopleura dissicula Johnson, 1964: 72 , figs 3, 14, 17–21.

Hoplopleura dissicula Johnson, 1964 ; Johnson 1972b: 221, figs 10, 22, 27.

Hoplopleura dissicula Johnson, 1964 ; Durden & Musser 1994: 23.

Hoplopleura dissicula Johnson, 1964 ; Madinah et al. 2014: Appendix 2: 3.

Type host: “ Rattus mulleri ” = Sundamys muelleri (Jentink, 1879) —Müller’s giant Sunda rat.

Malaysian host: Sundamys muelleri .

Probable Malaysian hosts: Sundamys infraluteus (Thomas, 1888) , Leopoldamys sabanus (Thomas, 1887) , Maxomys whiteheadi (Thomas, 1894) , Niviventer cremoriventer (Miller, 1900) , Rattus argentiventer (Robinson & Kloss, 1916) , Rattus baluensis (Thomas, 1894) , Rattus rattus ( Linnaeus, 1758) (see Johnson 1964).

Malaysian localities: “ Pahang Road”, 35 mi. north of Kuala Lumpur (Selangor) Peninsular Malaysia ( Johnson 1964); Ulu Gombak Forest Reserve (Selangor) Peninsular Malaysia ( Johnson 1964, Shabrina 1990); Gunung Kinabalu, Ranau, Tenompak & Bundu Tuhan (Sabah) Malaysian Borneo ( Johnson 1964); Bukit Lanjan Forest Reserve, Kepong (Selangor) Peninsular Malaysia ( Johnson 1972b); Bukit Aup Jubilee Park, Sibu, ( Sarawak) Malaysian Borneo ( Madinah et al. 2014).

Geographical distribution: Malaysia ( Durden & Musser 1994; Price & Graham 1997).

Remarks: The adult male and female of Hoplopleura dissicula were described and illustrated by Johnson (1964), and Johnson (1972b) described and illustrated the first and second nymphal instars. Durden & Musser (1994) noted that collections at the National Museum of Natural History, Washington, D.C. contain specimens of H. dissicula that are labelled as having been collected in Nepal from Niviventer eha (Wroughton, 1916) , but they did not comment if the data of those collections are likely to be incorrect or not.