Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
SINEs of a nearly perfect character
Systematic Biology, Volume 55, No. 6, Year 2006
Notification
URL copied to clipboard!
Description
Mobile elements have been recognized as powerful tools for phylogenetic and population-level analyses. However, issues regarding potential sources of homoplasy and other misleading events have been raised. We have collected available data for all phylogenetic and population level studies of primates utilizing Alu insertion data and examined them for potentially homoplasious and other misleading events. Very low levels of each potential confounding factor in a phylogenetic or population analysis (i.e., lineage sorting, parallel insertions, and precise excision) were found. Although taxa known to be subject to high levels of these types of events may indeed be subject to problems when using SINE analysis, we propose that most taxa will respond as the order Primates has-by the resolution of several long-standing problems observed using sequence-based methods. © 2006 Society of Systematic Biologists.
Authors & Co-Authors
Ray, David A.
United States, Morgantown
West Virginia University
Xing, Jinchuan
United States, Baton Rouge
Louisiana State University
Salem, Abdel Halim
Egypt, Ismailia
Faculty of Medicine
Batzer, Mark A.
United States, Baton Rouge
Louisiana State University
Statistics
Citations: 182
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.1080/10635150600865419
ISSN:
10635157
e-ISSN:
1076836X
Study Design
Cross Sectional Study