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Genetic data from algae sedimentary DNA reflect the influence of environment over geography.

Stoof-Leichsenring KR, Herzschuh U, Pestryakova LA, Klemm J, Epp LS, Tiedemann R - Sci Rep (2015)

Bottom Line: Here, we investigate the relatedness of diatom lineages in Siberian lakes along environmental gradients (i.e. across treeline transects), over geographic distance and through time (i.e. the last 7000 years) using modern and ancient sedimentary DNA.Thus our study reveals that environmental conditions rather than geographic distance is reflected by diatom-relatedness patterns in space and time.We tentatively speculate that the detected relatedness pattern in Staurosira across the treeline could be a result of adaptation to diverse environmental conditions across the arctic boreal treeline, however, a geographically-driven divergence and subsequent repopulation of ecologically different habitats might also be a potential explanation for the observed pattern.

View Article: PubMed Central - PubMed

Affiliation: Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Periglacial Research, Telegrafenberg A43, 14473 Potsdam, Germany.

ABSTRACT
Genetic investigations on eukaryotic plankton confirmed the existence of modern biogeographic patterns, but analyses of palaeoecological data exploring the temporal variability of these patterns have rarely been presented. Ancient sedimentary DNA proved suitable for investigations of past assemblage turnover in the course of environmental change, but genetic relatedness of the identified lineages has not yet been undertaken. Here, we investigate the relatedness of diatom lineages in Siberian lakes along environmental gradients (i.e. across treeline transects), over geographic distance and through time (i.e. the last 7000 years) using modern and ancient sedimentary DNA. Our results indicate that closely-related Staurosira lineages occur in similar environments and less-related lineages in dissimilar environments, in our case different vegetation and co-varying climatic and limnic variables across treeline transects. Thus our study reveals that environmental conditions rather than geographic distance is reflected by diatom-relatedness patterns in space and time. We tentatively speculate that the detected relatedness pattern in Staurosira across the treeline could be a result of adaptation to diverse environmental conditions across the arctic boreal treeline, however, a geographically-driven divergence and subsequent repopulation of ecologically different habitats might also be a potential explanation for the observed pattern.

No MeSH data available.


Related in: MedlinePlus

Haplotye network based on (A) rbcL_a67 lineages (surface sediment) and rbcL_c67 lineages (core sediment; coloured grey if they were not present in the surface sediment dataset) and (B) rbcL_c67 lineages (core sediment) and rbcL_a67 (surface sediment; coloured grey if they were not present in the core sediment data set) and six GenBank entries (indicated by a star: HQ828192 Staurosirella martyi, HQ828193 Staurosira elliptica, HQ828196 Staurosirella sp., HQ828198 Pseudostaurosira sp., HQ828199 Punctastriata sp., HQ828194 Staurosira construens) that clustered within the group of Siberian lineages (see Fig. 2). Coloured symbols show the proportion of each haplotype in the four vegetation types (A) or the Larix pollen affinity, which is defined by the mean Larix pollen percentage at which each lineage occurs (B) (see legend). Dots indicate missing haplotypes.
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f3: Haplotye network based on (A) rbcL_a67 lineages (surface sediment) and rbcL_c67 lineages (core sediment; coloured grey if they were not present in the surface sediment dataset) and (B) rbcL_c67 lineages (core sediment) and rbcL_a67 (surface sediment; coloured grey if they were not present in the core sediment data set) and six GenBank entries (indicated by a star: HQ828192 Staurosirella martyi, HQ828193 Staurosira elliptica, HQ828196 Staurosirella sp., HQ828198 Pseudostaurosira sp., HQ828199 Punctastriata sp., HQ828194 Staurosira construens) that clustered within the group of Siberian lineages (see Fig. 2). Coloured symbols show the proportion of each haplotype in the four vegetation types (A) or the Larix pollen affinity, which is defined by the mean Larix pollen percentage at which each lineage occurs (B) (see legend). Dots indicate missing haplotypes.

Mentions: Phylogenetic trees for both datasets (rbcL_a67/c67 (Fig. 2) and rbcL_191 (Supplementary Fig. S2a)) indicate a clear separation of fragilarioid lineages, splitting monophyletic clades of Fragilaria sensu stricto (Fragilaria sp.) and Synedra from the Staurosira/Staurosirella/Pseudostaurosira cluster. This cluster is called “Staurosira” and contains two major clades, one clade that includes our Staurosira lineages obtained from Siberian lakes and lineages of Staurosira, Staurosirella, Pseudostaurosira and Punctastriata obtained from Lake Constance, Germany. The second clade consists of Pseudostaurosira isolates from Lake Constance, and a Staurosirella pinnata strain (HQ912484) of marine origin (North Atlantic). Additionally, we used haplotype networks of rbcL_191 and rbcL_67 lineages to gain a higher resolution of relationships within the Staurosira group. These networks provide information about the occurrence of Siberian Staurosira lineages in the four vegetation types (Fig. 3 and Supplementary Fig. S2b). The mean nucleotide distance between the rbcL_67 lineages is 3.4 substitutions out of 67 nucleotides (5%) and the maximum nucleotide distance among lineages is six polymorphisms (9.8%). rbcL_191 lineages have on average 7.4 (3.9%) and at maximum 15 (7.8%) nucleotide differences.


Genetic data from algae sedimentary DNA reflect the influence of environment over geography.

Stoof-Leichsenring KR, Herzschuh U, Pestryakova LA, Klemm J, Epp LS, Tiedemann R - Sci Rep (2015)

Haplotye network based on (A) rbcL_a67 lineages (surface sediment) and rbcL_c67 lineages (core sediment; coloured grey if they were not present in the surface sediment dataset) and (B) rbcL_c67 lineages (core sediment) and rbcL_a67 (surface sediment; coloured grey if they were not present in the core sediment data set) and six GenBank entries (indicated by a star: HQ828192 Staurosirella martyi, HQ828193 Staurosira elliptica, HQ828196 Staurosirella sp., HQ828198 Pseudostaurosira sp., HQ828199 Punctastriata sp., HQ828194 Staurosira construens) that clustered within the group of Siberian lineages (see Fig. 2). Coloured symbols show the proportion of each haplotype in the four vegetation types (A) or the Larix pollen affinity, which is defined by the mean Larix pollen percentage at which each lineage occurs (B) (see legend). Dots indicate missing haplotypes.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4542542&req=5

f3: Haplotye network based on (A) rbcL_a67 lineages (surface sediment) and rbcL_c67 lineages (core sediment; coloured grey if they were not present in the surface sediment dataset) and (B) rbcL_c67 lineages (core sediment) and rbcL_a67 (surface sediment; coloured grey if they were not present in the core sediment data set) and six GenBank entries (indicated by a star: HQ828192 Staurosirella martyi, HQ828193 Staurosira elliptica, HQ828196 Staurosirella sp., HQ828198 Pseudostaurosira sp., HQ828199 Punctastriata sp., HQ828194 Staurosira construens) that clustered within the group of Siberian lineages (see Fig. 2). Coloured symbols show the proportion of each haplotype in the four vegetation types (A) or the Larix pollen affinity, which is defined by the mean Larix pollen percentage at which each lineage occurs (B) (see legend). Dots indicate missing haplotypes.
Mentions: Phylogenetic trees for both datasets (rbcL_a67/c67 (Fig. 2) and rbcL_191 (Supplementary Fig. S2a)) indicate a clear separation of fragilarioid lineages, splitting monophyletic clades of Fragilaria sensu stricto (Fragilaria sp.) and Synedra from the Staurosira/Staurosirella/Pseudostaurosira cluster. This cluster is called “Staurosira” and contains two major clades, one clade that includes our Staurosira lineages obtained from Siberian lakes and lineages of Staurosira, Staurosirella, Pseudostaurosira and Punctastriata obtained from Lake Constance, Germany. The second clade consists of Pseudostaurosira isolates from Lake Constance, and a Staurosirella pinnata strain (HQ912484) of marine origin (North Atlantic). Additionally, we used haplotype networks of rbcL_191 and rbcL_67 lineages to gain a higher resolution of relationships within the Staurosira group. These networks provide information about the occurrence of Siberian Staurosira lineages in the four vegetation types (Fig. 3 and Supplementary Fig. S2b). The mean nucleotide distance between the rbcL_67 lineages is 3.4 substitutions out of 67 nucleotides (5%) and the maximum nucleotide distance among lineages is six polymorphisms (9.8%). rbcL_191 lineages have on average 7.4 (3.9%) and at maximum 15 (7.8%) nucleotide differences.

Bottom Line: Here, we investigate the relatedness of diatom lineages in Siberian lakes along environmental gradients (i.e. across treeline transects), over geographic distance and through time (i.e. the last 7000 years) using modern and ancient sedimentary DNA.Thus our study reveals that environmental conditions rather than geographic distance is reflected by diatom-relatedness patterns in space and time.We tentatively speculate that the detected relatedness pattern in Staurosira across the treeline could be a result of adaptation to diverse environmental conditions across the arctic boreal treeline, however, a geographically-driven divergence and subsequent repopulation of ecologically different habitats might also be a potential explanation for the observed pattern.

View Article: PubMed Central - PubMed

Affiliation: Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Periglacial Research, Telegrafenberg A43, 14473 Potsdam, Germany.

ABSTRACT
Genetic investigations on eukaryotic plankton confirmed the existence of modern biogeographic patterns, but analyses of palaeoecological data exploring the temporal variability of these patterns have rarely been presented. Ancient sedimentary DNA proved suitable for investigations of past assemblage turnover in the course of environmental change, but genetic relatedness of the identified lineages has not yet been undertaken. Here, we investigate the relatedness of diatom lineages in Siberian lakes along environmental gradients (i.e. across treeline transects), over geographic distance and through time (i.e. the last 7000 years) using modern and ancient sedimentary DNA. Our results indicate that closely-related Staurosira lineages occur in similar environments and less-related lineages in dissimilar environments, in our case different vegetation and co-varying climatic and limnic variables across treeline transects. Thus our study reveals that environmental conditions rather than geographic distance is reflected by diatom-relatedness patterns in space and time. We tentatively speculate that the detected relatedness pattern in Staurosira across the treeline could be a result of adaptation to diverse environmental conditions across the arctic boreal treeline, however, a geographically-driven divergence and subsequent repopulation of ecologically different habitats might also be a potential explanation for the observed pattern.

No MeSH data available.


Related in: MedlinePlus