Arctic sea-ice decline archived by multicentury annual-resolution record from crustose coralline algal proxy.

Northern Hemisphere sea ice has been declining sharply over the past decades and 2012 exhibited the lowest Arctic summer sea-ice cover in historic times. Whereas ongoing changes are closely monitored through satellite observations, we have only limited data of past Arctic sea-ice cover derived from short historical records, indirect terrestrial proxies, and low-resolution marine sediment cores. A multicentury time series from extremely long-lived annual increment-forming crustose coralline algal buildups now provides the first high-resolution in situ marine proxy for sea-ice cover. Growth and Mg/Ca ratios of these Arctic-wide occurring calcified algae are sensitive to changes in both temperature and solar radiation. Growth sharply declines with increasing sea-ice blockage of light from the benthic algal habitat. The 646-y multisite record from the Canadian Arctic indicates that during the Little Ice Age, sea ice was extensive but highly variable on subdecadal time scales and coincided with an expansion of ice-dependent Thule/Labrador Inuit sea mammal hunters in the region. The past 150 y instead have been characterized by sea ice exhibiting multidecadal variability with a long-term decline distinctly steeper than at any time since the 14th century.

Identification of protein remains in archaeological potsherds by proteomics.

We demonstrate here the possibility of identifying proteins trapped in few milligrams of the clay matrix of a 1200-1400 AD Iñupiat potsherd fragment from Point Barrow, Alaska, by a dedicated proteomics approach. The four main steps of a proteomics analysis, (i) protein extraction from biological samples, (ii) protein hydrolysis using a hydrolase enzyme, (iii) nanoLC, nanoESI MS, and MS/MS analysis of the generated peptides, and (iv) protein identification using protein databank proceeded from genomic data, have been optimized for archeological remains. Briefly our procedure starts by grinding the potsherds, extraction with 1% trifluoroacetic acid, digestion with excess of trypsin, nanoLC, nanoESI FT-ICR analysis, and data mining by homology search. The developed conditions were evaluated on protein extracts from remains obtained by heated muscle tissues and blubbers of different seal and whale species, these samples representing the main diet sources of the Eskimo population. Most of the proteins were identified by sequence homology to other species due to the lack of cetacean and pinniped proteins in the databanks. More interestingly, two proteins, myoglobin and hemoglobin, respectively, identified in muscle tissue samples and blubber samples highlight several specific peptides of cetacean and pinniped species; these peptides are significant to prove the presence of these marine species in the analyzed samples. Based on the developed methodology and on protein identification results obtained from the heated seal/whale muscle tissues and blubbers, the analysis of the clay matrix of a 1200-1400 AD Iñupiat potsherd fragment from Point Barrow was investigated. The described method succeeds in identifying four peptides corresponding to the harbor seal myoglobin (species Phoca vitulina) with a measured mass accuracy better than 1 ppm (MS and MS/MS experiments) including one specific peptide of the cetacean and pinniped species and one specific peptide of the seal species. These results highlight, for the first time, a methodology able to identify proteins from a few milligrams of archeological potsherd buried for years; the obtained results confirm the presence of a seal muscle tissue protein in this Punuk potsherd.