Ecological interactions and coexistence are predicted by gene expression similarity in freshwater green algae

نویسندگان

  • Anita Narwani
  • Bastian Bentlage
  • Markos A. Alexandrou
  • Keith J. Fritschie
  • Charles Delwiche
  • Todd H. Oakley
  • Bradley J. Cardinale
چکیده

Anita Narwani*, Bastian Bentlage, Markos A. Alexandrou, Keith J. Fritschie, Charles Delwiche, Todd H. Oakley and Bradley J. Cardinale Department of Aquatic Ecology, Eawag (Swiss Federal Institute of Aquatic Science and Technology), LA-H60 1 € Uberlandstrasse 133, 8600 D€ ubendorf, Switzerland; CMNS-Cell Biology and Molecular Genetics, University of Maryland, 2107 Bioscience Research Building, College Park, MD 20742-4407, USA; Marine Laboratory, University of Guam, 303 University Drive, Mangilao, GU 96923, USA; Wildlands Conservation Science, LLC P.O. Box 1846, Lompoc, CA 93438, USA; Department of Biological Sciences, Dartmouth College, 78 College Street, Hanover, NH 03755, USA; Maryland Agricultural Experiment Station, AGNR, University of Maryland, College Park, MD 20742, USA; Department of Ecology, Evolution and Marine Biology, University of California, 4101 Life Sciences Building, UCEN Road, Santa Barbara, CA 93106, USA; and School of Natural Resources and Environment, University of Michigan, 440 Church Street, Ann Arbor, MI 48109-1041, USA

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Experimental evidence that evolutionary relatedness does not affect the ecological mechanisms of coexistence in freshwater green algae.

The coexistence of competing species depends on the balance between their fitness differences, which determine their competitive inequalities, and their niche differences, which stabilise their competitive interactions. Darwin proposed that evolution causes species' niches to diverge, but the influence of evolution on relative fitness differences, and the importance of both niche and fitness di...

متن کامل

Evolutionary relatedness does not predict competition and co-occurrence in natural or experimental communities of green algae.

The competition-relatedness hypothesis (CRH) predicts that the strength of competition is the strongest among closely related species and decreases as species become less related. This hypothesis is based on the assumption that common ancestry causes close relatives to share biological traits that lead to greater ecological similarity. Although intuitively appealing, the extent to which phyloge...

متن کامل

Common Ancestry Is a Poor Predictor of Competitive Traits in Freshwater Green Algae

Phytoplankton species traits have been used to successfully predict the outcome of competition, but these traits are notoriously laborious to measure. If these traits display a phylogenetic signal, phylogenetic distance (PD) can be used as a proxy for trait variation. We provide the first investigation of the degree of phylogenetic signal in traits related to competition in freshwater green phy...

متن کامل

Phylogenetic distance does not predict competition in green algal communities

Biologists have held the tenet that closely related species compete more strongly with each other than with distant relatives since 1859, when Darwin observed that close relatives seldom co-occur in nature and suggested it was because they competitively exclude one another. The expectation that close relatives experience greater competition than distant relatives has become known as the ‘‘compe...

متن کامل

Effects of Cadmium and Dimethoate on Some Biological and Biochemical Indices in Freshwater Green Algae, Spirogyra sp.

The present study investigates the influence of an organophosphorus pesticide, namely Dimethoate, and cadmium on biomarkers of the green alga, Spirogyra sp., in a 14-day experiment. For so doing, it has exposed Spirogyra sp. to 0.0, 100, 200, and 400 mg L-1 of Dimethoate and/or 1 mg L-1 of cadmium chloride (CdCl2) to observe a reduction in chlorophyll a and b level in Spirogyra sp., exposed to ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017