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Lake Level Fluctuations Synchronize Genetic Divergences of Cichlid Fishes in African Lakes

Overview of attention for article published in Molecular Biology and Evolution, February 2001
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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wikipedia
8 Wikipedia pages
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1 Redditor

Readers on

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236 Mendeley
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1 Connotea
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Article details
Title
Lake Level Fluctuations Synchronize Genetic Divergences of Cichlid Fishes in African Lakes
Published in
Molecular Biology and Evolution, February 2001
DOI 10.1093/oxfordjournals.molbev.a003788
Pubmed ID
Authors
Abstract

Water level fluctuations are important modulators of speciation processes in tropical lakes, in that they temporarily form or break down barriers to gene flow among adjacent populations and/or incipient species. Time estimates of the most recent major lowstands of the three African Great Lakes are thus crucial to infer the relative timescales of explosive speciation events in cichlid species flocks. Our approach combines geological evidence with genetic divergence data of cichlid fishes from the three Great East African Lakes derived from the fastest-evolving mtDNA segment. Thereby, we show for each of the three lakes that individuals sampled from several populations which are currently isolated by long geographic distances and/or deep water form clusters of equally closely related haplotypes. The distribution of identical or equally closely related haplotypes in a lake basin allows delineation of the extent of lake level fluctuations. Our data suggest that the same climatic phenomenon synchronized the onset of genetic divergence of lineages in all three species flocks, such that their most recent evolutionary history seems to be linked to the same external modulators of adaptive radiation. A calibration of the molecular clock of the control region was elaborated by gauging the age of the Lake Malawi species flock through the divergence among the utaka-cichlid and the mbuna-cichlid lineages to minimally 570,000 years and maximally 1 Myr. This suggests that the low-lake-level period which established the observed patterns of genetic relatedness dates back less than 57,000 years, probably even to 17,000-12,400 years ago, when Lake Victoria dried up and Lakes Malawi and Tanganyika were also low. A rapid rise of all three lakes about 11,000 years ago established the large-scale population subdivisions observed today. Over that period of time, a multitude of species originated in Lakes Malawi and Victoria with an impressive degree of morphological and ecological differentiation, whereas the Tanganyikan taxa that were exposed to the same habitat changes hardly diverged ecologically and morphologically. Our findings also show that patterns of genetic divergences of stenotopic organisms provide valuable feedback on geological and sedimentological time estimates for lake level changes.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 1%
Colombia 3 1%
Uruguay 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
Austria 1 <1%
Canada 1 <1%
Czechia 1 <1%
Germany 1 <1%
Other 8 3%
Unknown 212 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 55 23%
Researcher 47 20%
Student > Master 37 16%
Student > Doctoral Student 14 6%
Student > Bachelor 14 6%
Other 44 19%
Unknown 25 11%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 156 66%
Environmental Science 21 9%
Biochemistry, Genetics and Molecular Biology 14 6%
Medicine and Dentistry 5 2%
Earth and Planetary Sciences 4 2%
Other 6 3%
Unknown 30 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 May 2023.
All research outputs
#10,911,195
of 31,936,881 outputs
Outputs from Molecular Biology and Evolution
#3,747
of 5,961 outputs
Outputs of similar age
#41,448
of 151,912 outputs
Outputs of similar age from Molecular Biology and Evolution
#8
of 21 outputs
Altmetric has tracked 31,936,881 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 5,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 151,912 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.