MtDNA analysis of global populations support that major population expansions began before Neolithic Time

Zheng, Hou-Feng; Yan, Shi; Qin, Zhaoyu; Li, Jin

doi:10.1038/srep00745

Cited by 54 publications

(38 citation statements)

References 58 publications

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“…Thus, the introduction of agriculture cannot be directly linked to an increase in the long-term annual rate of population growth. This conclusion is consistent with recent genetic analysis showing that human population expansion worldwide predated the introduction of agriculture (23,24).…”

Section: Measurements Insupporting

confidence: 80%

“…With a world population of ∼ 1 billion at AD 1800 (2), a 0.04% rate of growth retrodicts a global human population of a few individuals around 50,000 y ago. Although the population of anatomically modern humans was greater than few individuals at this time, archaeological and genetic studies agree it was very small and restricted to the African continent some time before 50,000 y ago (4,5,23,43). The world population at AD 1800 is consistent with a small effective African population >50,000 y ago experiencing a long-term annual growth rate of 0.04%, and which most likely suffered decline during the severe climatic interval of the Glacial Maximum (44).…”

Section: [1]mentioning

confidence: 99%

“…Accelerated growth also may be inferred from genetic diversity among modern populations. However, the conversion of genetic diversity into a growth rate is subject to several systematic uncertainties and thus far has yielded contradictory results regarding the impact of the agricultural transition on population growth (19)(20)(21)(22)(23)(24).…”

mentioning

confidence: 99%

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Agriculture, population growth, and statistical analysis of the radiocarbon record

Zahid

Robinson

Kelly

2015

Proc. Natl. Acad. Sci. U.S.A.

152

131

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The authors wish to note: "We took the population growth rates derived from the summed probability distributions (SPDs) of radiocarbon dates (26-28) at face value. However, Shennan et al. (28) do not apply a correction for taphonomic loss. After correcting the Shennan et al. SPD for taphonomic loss using Eq. 3 (see Materials and Methods), the annual long-term growth rate for transitioning farmers in Europe decreases from 0.037% to 0.022%. The data indicate that transitioning farmers in Europe were growing more slowly than the huntergatherers of Wyoming and Colorado. Accounting for taphonomic loss, the hunter-gatherer growth rate we measure for Wyoming and Colorado is a factor of 1.9 larger than transitioning farmers in Europe. If no taphonomic correction is applied to either SPD, the difference in growth rate is a factor of 1.4. The smaller growth rate measured from the Shennan et al. SPD strengthens our primary conclusion that agriculture did not accelerate population growth. The difference in the long-term growth rate between hunter-gatherers and transitioning farmers is an order of magnitude smaller than the short-term growth rate fluctuations observed in the SPD. Thus, our conclusion that long-term growth rates measured globally are similar remains valid." The corrected Fig. 3 and its legend appear below.

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Section: Measurements Insupporting

confidence: 80%

Section: [1]mentioning

confidence: 99%

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Agriculture, population growth, and statistical analysis of the radiocarbon record

Zahid

Robinson

Kelly

2015

Proc. Natl. Acad. Sci. U.S.A.

152

131

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“…Analysis of mtDNA lineages shows a strong increase in female effective populations size ( N ef ) during the Holocene in Africa and Eurasia 66,67 , compared to Upper Paleolithic lineages. Zheng et al analyzed over 300 East Asian mitochondrial genomes and find that major mtDNA lineages underwent expansions starting around 13 kya and lasting until 4 kya , with changes in N e from a few hundreds of thousands to millions.…”

Section: Demographic Simulations Of Mutation Loadmentioning

confidence: 99%

Estimating the mutation load in human genomes

et al. 2015

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Next-generation sequencing technology has facilitated the discovery of millions of variants in human genomes. A sizeable fraction of these alleles are thought to be deleterious. We review the pattern of deleterious alleles as ascertained in genomic data and ask whether human populations differ in their predicted burden of deleterious alleles, a phenomenon known as “mutation load.” We discuss three demographic models that are predicted to affect mutation load and relate these models to the evidence (or the lack thereof) for variation in the efficacy of purifying selection in diverse human genomes. We also discuss why accurate estimation of mutation load depends on assumptions regarding the distribution of dominance and selection coefficients, quantities that are poorly characterized for current genomic datasets.

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“…(2012)4263Mostly Western EurasianFamily Tree1519Mostly Western EurasianZheng et al. (2012)910413 European, 313 African, 184 N AmericanDuggan et al. (2014)795795 OceanianTanaka et al.…”

Section: Abstract Of Appendixmentioning

confidence: 99%

Bridging two scholarly islands enriches both: COI DNA barcodes for species identification versus human mitochondrial variation for the study of migrations and pathologies

Thaler

Stoeckle

2016

Ecology and Evolution

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DNA barcodes for species identification and the analysis of human mitochondrial variation have developed as independent fields even though both are based on sequences from animal mitochondria. This study finds questions within each field that can be addressed by reference to the other. DNA barcodes are based on a 648‐bp segment of the mitochondrially encoded cytochrome oxidase I. From most species, this segment is the only sequence available. It is impossible to know whether it fairly represents overall mitochondrial variation. For modern humans, the entire mitochondrial genome is available from thousands of healthy individuals. SNPs in the human mitochondrial genome are evenly distributed across all protein‐encoding regions arguing that COI DNA barcode is representative. Barcode variation among related species is largely based on synonymous codons. Data on human mitochondrial variation support the interpretation that most – possibly all – synonymous substitutions in mitochondria are selectively neutral. DNA barcodes confirm reports of a low variance in modern humans compared to nonhuman primates. In addition, DNA barcodes allow the comparison of modern human variance to many other extant animal species. Birds are a well‐curated group in which DNA barcodes are coupled with census and geographic data. Putting modern human variation in the context of intraspecies variation among birds shows humans to be a single breeding population of average variance.

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MtDNA analysis of global populations support that major population expansions began before Neolithic Time

Cited by 54 publications

References 58 publications

Agriculture, population growth, and statistical analysis of the radiocarbon record

Agriculture, population growth, and statistical analysis of the radiocarbon record

Estimating the mutation load in human genomes

Bridging two scholarly islands enriches both: COI DNA barcodes for species identification versus human mitochondrial variation for the study of migrations and pathologies

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