Marine Protistan Diversity

被引:241
作者
Caron, David A. [1 ]
Countway, Peter D. [2 ]
Jones, Adriane C. [1 ]
Kim, Diane Y. [1 ]
Schnetzer, Astrid [1 ]
机构
[1] Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA
[2] Bigelow Lab Ocean Sci, W Boothbay Harbor, ME 04575 USA
来源
ANNUAL REVIEW OF MARINE SCIENCE, VOL 4 | 2012年 / 4卷
基金
美国国家科学基金会;
关键词
protist; protozoa; phytoplankton; biodiversity; molecular ecology; rarefaction; rank abundance curves; REAL-TIME PCR; IN-SITU HYBRIDIZATION; DINOFLAGELLATE KARENIA-BREVIS; OPERATIONAL TAXONOMIC UNITS; SAMPLE PROCESSOR ESP; RNA-TARGETED PROBES; SAN-PEDRO CHANNEL; MICROBIAL EUKARYOTES; GENETIC DIVERSITY; SMALL-SUBUNIT;
D O I
10.1146/annurev-marine-120709-142802
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Protists have fascinated microbiologists since their discovery nearly 350 years ago. These single-celled, eukaryotic species span an incredible range of sizes, forms, and functions and, despite their generally diminutive size, constitute much of the genetic diversity within the domain Eukarya. Protists in marine ecosystems play fundamental ecological roles as primary producers, consumers, decomposers, and trophic links in aquatic food webs. Much of our knowledge regarding the diversity and ecological activities of these species has been obtained during the past half century, and only within the past few decades have hypotheses depicting the evolutionary relationships among the major clades of protists attained some degree of consensus. This recent progress is attributable to the development of genetic approaches, which have revealed an unexpectedly large diversity of protists, including cryptic species and previously undescribed clades of protists. New genetic tools now exist for identifying protistan species of interest and for reexamining long-standing debates regarding the biogeography of protists. Studies of protistan diversity provide insight regarding how species richness and community composition contribute to ecosystem function. These activities support the development of predictive models that describe how microbial communities will respond to natural or anthropogenically mediated changes in environmental conditions.
引用
收藏
页码:467 / 493
页数:27
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