| Literature DB >> 27066174 |
Nirosha J Murugan1, Lukasz M Karbowski1, William Ft Mekers1, Michael A Persinger1.
Abstract
Sudden deaths in groups of animals have been observed by field and laboratory biologists. We have measured mortalities in large group-housed planarian during the infrequent periods of very intense geomagnetic activity. In 13 separate episodes over the last 5 y we have observed the sudden death in our laboratory of hundreds of planarian if their density was about 1 worm per cc and the global geomagnetic activity was K≥6 the day before or the day of the observation of the mortality. Such mortality never occurred in other conditions or days. Both estimates of the "magnetic moment" of a planarian in magnetic fields above this threshold of sustained magnetic flux density as well as the magnetic energy within the planarian volume predict values that could affect phenomenon associated with the total numbers of pH-dependent charges within each worm. These conditions could affect the Levin-Burr bioelectrical signals and networks that affect patterning information and sustainability in whole living systems. The establishment of a central reservoir for the report of these transient events might allow Life Scientists to more fully appreciate the impact of these pervasive global stimuli upon dense groups of animals.Entities:
Keywords: bioelectric fields; biophysical mechanisms; geomagnetic activity; sudden planarian death
Year: 2015 PMID: 27066174 PMCID: PMC4802799 DOI: 10.1080/19420889.2015.1095413
Source DB: PubMed Journal: Commun Integr Biol ISSN: 1942-0889
Dates, percentage (and numbers) of planarian found dead, and geomagnetic indices (K value) for the day before, during, and after the observation. These were the only losses of this magnitude recorded when planarian stocks were being maintained during this 4 y period
| Peak K Index | |||||
|---|---|---|---|---|---|
| Date | Planarian Loss (% of stock population and equivalent n) | Worm to Water Ratio | Day Before | Day of | Day After |
| July 17, 2011 | 100% loss, n = 300 | 1 to 1, 1 to 2 | 1 | 6 | 2 |
| March 10, 2012 | 70% los, n = 300 | 1 to 1 | 7 | 5 | 2 |
| October 10, 2012 | 70% loss, n = 200 | 1 to 1 | 6 | 3 | 2 |
| March 10, 2012 | 100% loss, n = 300 | 1 to 1, 1 to 2 | 7 | 5 | 3 |
| March 17, 2013 | 60% loss, n = 220 | 1 to 1 | 3 | 6 | 3 |
| May 26, 2013 | 25% loss, n = 75 | 1 to 1 | 5 | 4 | 2 |
| June 2, 2013 | 85% loss, n = 250 | 1 to 1, 1 to 2 | 6 | 3 | 3 |
| February 20, 2014 | 85% loss, n = 250 | 1 to 1 | 6 | 6 | 3 |
| June 9, 2014 | 70% loss, n = 200 | 1 to 1 | 6 | 2 | 2 |
| September 12, 2014 | 35% loss, n = 100 | 1 to 1 | 4 | 7 | 4 |
| January 8, 2015 | 100% loss, n = 250 | 1 to 1 | 7 | 4 | 3 |
| March 17, 2015 | 100% loss, n = 250 | 1 to 1 | 3 | 8 | 6 |
| May, 14 2015 | 25% loss, n = 75 | 1 to 1 | 6 | 3 | 3 |