Brain Size Growth and Life History in Human Evolution

Increases in endocranial volume (a measure of brain size) play a major role in human evolution. Despite the importance of brain size increase, the developmental bases of human brain size evolution remain poorly characterized. Comparative analyses of endocranial volume size growth illustrate that distinctions between humans and other primates are consequences of differences in rates of brain size growth, with little evidence for differences in growth duration. Evaluation of available juvenile fossils shows that earliest hominins do not differ perceptibly from chimpanzees (Pan). However, rapid and human-like early brain growth apparently characterized Homo erectus at about 1?Ma before present. Neandertals show patterns of brain growth consistent with modern humans during infancy, but reach larger sizes than modern humans as a result of differences in later growth. Growth analyses reveal commonalities in patterns of early brain size growth during the last million years human evolution, despite major increases in adult size. This result implies consistency across hominins in terms of maternal metabolic costs of infancy. Continued size growth past infancy in Neandertals and modern humans, when compared to earlier hominins, may have cognitive implications. Differences between Neandertals and modern humans are implied, but difficult to define with certainty.     

A Model for Leaf Growth

A model for leaf growth is constructed. The state of the leafat any time is defined by eight variables; five of these definethe ‘chemical’state of the leaf (labile carbohydrate,labile nitrogen, degradable structure, non-degradable structureand tissue water), the other three define its physical state(volume, area and thickness). The main assumption of the modelis that the rate of synthesis of non-degradable structural material(cell walls) is a function of the rate of water uptake (andthence expansion) of the leaf tissues. The rate of water uptakeis assumed to depend upon the amount of osmotically active solutein the leaf, and to be opposed by elastic and inelastic forcesin the leaf tissues, which increase with leaf size. The model simulates a number of the observed features of leafgrowth. For example, it qualitatively describes the observedchanges in leaf thickness and rate of photosynthesis per unitleaf area with different growth light levels. The model canalso be used to describe changes in metabolic activity duringontogenesis of a leaf. leaf growth, mechanistic model, photosynthesis, water uptake     

The Importance of Population Growth and Regulation in Human Life History Evolution

Explaining the evolution of human life history traits remains an important challenge for evolutionary anthropologists. Progress is hindered by a poor appreciation of how demographic factors affect the action of natural selection. I review life history theory showing that the quantity maximized by selection depends on whether and how population growth is regulated. I show that the common use of R, a strategy’s expected lifetime number of offspring, as a fitness maximand is only appropriate under a strict set of conditions, which are apparently unappreciated by anthropologists. To concretely show how demography-free life history theory can lead to errors, I reanalyze an influential model of human life history evolution, which investigated the coevolution of a long lifespan and late age of maturity. I show that the model’s conclusions do not hold under simple changes to the implicitly assumed mechanism of density dependence, even when stated assumptions remain unchanged. This analysis suggests that progress in human life history theory requires better understanding of the demography of our ancestors.     

Growth and Investment in Hominin Life History Evolution: Patterns, Processes, and Outcomes

The transitions from apes to lineages allied to humans are marked by shifts in the allocation of parental effort, associated with discontinuous changes in rates of infant and juvenile growth both prenatally and postnatally. Here, I assess growth and life history characteristics of apes within a general mammalian / primate paradigm, using time and energy expenditure as 2 fundamentals that covary with infant survival and success probabilities. I suggest that these survival probabilities depend on the quality, amount, and timing of parental care allocated to infants. Growth to birth, growth to weaning, and growth to reproductive onset are partitioned as separate periods within a life history on the basis of comparative mammalian data. Growth problems such as sexual dimorphism can be incorporated into an investment perspective by assessing when and how sex-specific parental care affects growth rates and the onset of reproduction. I compare features of the hominoid life history with developmental rates for hominin lineages as seen in dentition, and the fossil record of body and brain size changes over time. The links between parental effort and allocation of care to infant growth and survival generate speculative scenarios of sex-specific parental care allocation; I then explore hominin social evolution?—mating system and childhood—?for the lineages thought to lead to modern Homo, and for those that coexisted with ancestors of Homo.     

Inter- and Intra-Specific Density-Dependent Effects on Life History and Development Strategies of Larval Mosquitoes

We explored how inter- and intra-specific competition among larvae of two temporary-pool mosquito species, Culiseta longiareolata and Ochlerotatus caspius, affect larval developmental strategy and life history traits. Given that their larvae have similar feeding habits, we expected negative reciprocal inter-specific interactions. In a microcosm experiment, we found sex-specific responses of larval survival and development to both intra- and inter-specific larval competition. C. longiareolata was the superior competitor, reducing adult size and modifying larval developmental time of O. caspius. We observed two distinct waves of adult emergence in O. caspius, with clear sex-specific responses to its inter-specific competitor. In males, this pattern was not affected by C. longiareolata, but in females, the timing and average body size of the second wave strongly varied with C. longiareolata density. Specifically, in the absence of C. longiareolata, the second wave immediately followed the first wave. However, as C. longiareolata abundance increased, the second wave was progressively delayed and the resulting females tended to be larger. This study improves our understanding of the way intra- and inter-specific competition combine to influence the life histories of species making up temporary pond communities. It also provides strong evidence that not all individuals of a cohort employ the same strategies in response to competition.     

Lemur Biorhythms and Life History Evolution

Skeletal histology supports the hypothesis that primate life histories are regulated by a neuroendocrine rhythm, the Havers-Halberg Oscillation (HHO). Interestingly, subfossil lemurs are outliers in HHO scaling relationships that have been discovered for haplorhine primates and other mammals. We present new data to determine whether these species represent the general lemur or strepsirrhine condition and to inform models about neuroendocrine-mediated life history evolution. We gathered the largest sample to date of HHO data from histological sections of primate teeth (including the subfossil lemurs) to assess the relationship of these chronobiological measures with life history-related variables including body mass, brain size, age at first female reproduction, and activity level. For anthropoids, these variables show strong correlations with HHO conforming to predictions, though body mass and endocranial volume are strongly correlated with HHO periodicity in this group. However, lemurs (possibly excepting Daubentonia) do not follow this pattern and show markedly less variability in HHO periodicity and lower correlation coefficients and slopes. Moreover, body mass is uncorrelated, and brain size and activity levels are more strongly correlated with HHO periodicity in these animals. We argue that lemurs evolved this pattern due to selection for risk-averse life histories driven by the unpredictability of the environment in Madagascar. These results reinforce the idea that HHO influences life history evolution differently in response to specific ecological selection regimes.     

A Life History Approach to Understanding Youth Time Preference

Following from life history and attachment theory, individuals are predicted to be sensitive to variation in environmental conditions such that risk and uncertainty are internalized by cognitive, affective, and psychobiological mechanisms. In turn, internalizing of environmental uncertainty is expected to be associated with attitudes toward risk behaviors and investments in education. Native American youth aged 10–19 years (n = 89) from reservation communities participated in a study examining this pathway. Measures included family environmental risk and uncertainty, present and future time perspective, adolescent attachment, attitudes toward risk, investments in education, and salivary cortisol. Results support the idea that environmental risk and uncertainty are internalized during development. In addition, internalizing mechanisms significantly predicted attitudes toward risk and education: (1) lower scores on future time perspective and higher cortisol predicted higher scores on risk attitudes, and (2) higher scores on future time perspective and lower scores on problems with attachment predicted higher self-reported school performance. Gender differences were seen, with males anticipating a shorter lifespan than females, which predicted higher scores on risk attitudes and lower school performance. Implications for research on adolescent problem behavior and academic achievement are discussed.     

Oviposition Site Choice and Life History Evolution

SYNOPSIS. Studies of life history evolution, as well as muchof life history theory, have typically focused on "hard" componentsof life histories; phenotypic characteristics that can be readilyobserved, quantified, and ultimately, connected rather directlyto fitness. Typical of these are propagule size, propagule number,and age and size at maturity. What is largely missing from thestudy of life history evolution is consideration of the roleof behavior, principally female oviposition site choice, inthe evolution of life histories. For oviparous organisms, naturalselection cannot produce locally optimized "hard" componentsof life history phenotypes without a consistent environmentalcontext (whether invariant orvariable); in a variable environment,that consistent environmental context can be most effectivelyprovided by interactive oviposition site choice. I present amodel of selection on oviposition site choice in the contextof the evolution of "hard" components of life history phenotypes,along with some experimental data illustrating oviposition sitechoice in response to predators. The model and data are thenrelated to the overall question of the role of oviposition sitechoice in life history evolution. The conclusion is that ovipositionsite choice must be under equally strong selection with eggsize, egg number and the other hard components of life historiesin order to generate and optimize locally adapted or ecologicallyspecialized life history phenotypes, and must therefore, playa significant role in the evolution of life histories.     

植物生活史对策的进化

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A Model of Growth of the Fifth Leaf of Tomato

Some measurements on the fifth leaf of the tomato plant aredescribed: these include length, area, dry weight and freshweight. A model, which attempts to describe and interpret someof the data, is constructed. After fitting the model to thedata, it is used to rank the physiological and environmentalparameters, in terms of how much they affect the contributionthat the fifth leaf makes to the carbon economy of the wholeplant.     

Life History and Demographic Drivers of Reservoir Competence for Three Tick-Borne Zoonotic Pathogens

Animal and plant species differ dramatically in their quality as hosts for multi-host pathogens, but the causes of this variation are poorly understood. A group of small mammals, including small rodents and shrews, are among the most competent natural reservoirs for three tick-borne zoonotic pathogens, Borrelia burgdorferi, Babesia microti, and Anaplasma phagocytophilum, in eastern North America. For a group of nine commonly-infected mammals spanning >2 orders of magnitude in body mass, we asked whether life history features or surrogates for (unknown) encounter rates with ticks, predicted reservoir competence for each pathogen. Life history features associated with a fast pace of life generally were positively correlated with reservoir competence. However, a model comparison approach revealed that host population density, as a proxy for encounter rates between hosts and pathogens, generally received more support than did life history features. The specific life history features and the importance of host population density differed somewhat between the different pathogens. We interpret these results as supporting two alternative but non-exclusive hypotheses for why ecologically widespread, synanthropic species are often the most competent reservoirs for multi-host pathogens. First, multi-host pathogens might adapt to those hosts they are most likely to experience, which are likely to be the most abundant and/or frequently bitten by tick vectors. Second, species with fast life histories might allocate less to certain immune defenses, which could increase their reservoir competence. Results suggest that of the host species that might potentially be exposed, those with comparatively high population densities, small bodies, and fast pace of life will often be keystone reservoirs that should be targeted for surveillance or management.     

Human Life History Evolution Explains Dissociation between the Timing of Tooth Eruption and Peak Rates of Root Growth

We explored the relationship between growth in tooth root length and the modern human extended period of childhood. Tooth roots provide support to counter chewing forces and so it is advantageous to grow roots quickly to allow teeth to erupt into function as early as possible. Growth in tooth root length occurs with a characteristic spurt or peak in rate sometime between tooth crown completion and root apex closure. Here we show that in Pan troglodytes the peak in root growth rate coincides with the period of time teeth are erupting into function. However, the timing of peak root velocity in modern humans occurs earlier than expected and coincides better with estimates for tooth eruption times in Homo erectus. With more time to grow longer roots prior to eruption and smaller teeth that now require less support at the time they come into function, the root growth spurt no longer confers any advantage in modern humans. We suggest that a prolonged life history schedule eventually neutralised this adaptation some time after the appearance of Homo erectus. The root spurt persists in modern humans as an intrinsic marker event that shows selection operated, not primarily on tooth tissue growth, but on the process of tooth eruption. This demonstrates the overarching influence of life history evolution on several aspects of dental development. These new insights into tooth root growth now provide an additional line of enquiry that may contribute to future studies of more recent life history and dietary adaptations within the genus Homo.     

Dynamic Model for Life History of Scyphozoa

A two-state life history model governed by ODEs is formulated to elucidate the population dynamics of jellyfish and to illuminate the triggering mechanism of its blooms. The polyp-medusa model admits trichotomous global dynamic scenarios: extinction, polyps survival only, and both survival. The population dynamics sensitively depend on several biotic and abiotic limiting factors such as substrate, temperature, and predation. The combination of temperature increase, substrate expansion, and predator diminishment acts synergistically to create a habitat that is more favorable for jellyfishes. Reducing artificial marine constructions, aiding predator populations, and directly controlling the jellyfish population would help to manage the jellyfish blooms. The theoretical analyses and numerical experiments yield several insights into the nature underlying the model and shed some new light on the general control strategy for jellyfish.     

Phylogeny, Life History Evolution and Biogeography of the Rhinanthoid Orobanchaceae

Rhinanthoid Orobanchaceae form a monophyletic lineage that include the hemiparasitic genera Euphrasia, Melampyrum, Tozzia, Bartsia, Nothobartsia, Odontites (s.l.), Rhinanthus, Rhynchocorys, Parentucellia, Hedbergia and holoparasitic Lathraea. In this study, we aimed to reconstruct the phylogeny, evolution of life-history traits (life cycle and seed size) and explain the extant biogeographical patterns in this group. For phylogenetic reconstruction, we used molecular data obtained by sequencing the nuclear ITS region and the chloroplast trnT-trnL intergenic spacer and matK?+?trnK regions. The genus Melampyrum was found to occupy the sister position to the rest of the group. The other genera were assembled in the sister Rhinanthus-Rhynchocorys-Lathraea and Bartsia-Euphrasia-Odontites subclades. The reconstruction of life-cycle evolution yielded ambiguous results suggesting nonetheless a substantially higher likelihood of perenniality compared to annuality in most ancestor lineages. Seed size varied across two orders of magnitude (average weight per seed: 0.02–7.22 mg) and tended to decrease in the Bartsia-Euphrasia-Odontites subclade compared to the rest of the group. Seed-size evolution was correlated with life-history evolution in the group if the generally small-seeded Bartsia-Euphrasia-Odontites subclade is excluded. We formulated hypotheses relating the extant biogeographical affinities of individual genera to the geological history of the Euro-Caucasian diversity center of the group. Notable dispersal events in Euphrasia and Bartsia were hypothesized to be allowed or at least facilitated by a specific combination of the life-history traits.     

A Stochastic Model of Gene Evolution with Time Dependent Pseudochaotic Mutations

We develop here a new class of stochastic models of gene evolution in which a random subset of the 64 possible trinucleotides mutates at each evolutionary time t according to some time dependent substitution probabilities. Therefore, at each time t, the numbers and the types of mutable trinucleotides are unknown. Thus, the mutation matrix changes at each time t. This pseudochaotic model developed generalizes the standard model in which all the trinucleotides mutate at each time t. It determines the occurrence probabilities at time t of trinucleotides which pseudochaotically mutate according to 3 time dependent substitution parameters associated with the 3 trinucleotide sites. The main result proves that under suitable assumptions, this pseudochaotic model converges to a uniform probability vector identical to that of the standard model. Furthermore, an application of this pseudochaotic model allows an evolutionary study of the 3 circular codes identified in both eukaryotic and prokaryotic genes. A circular code is a particular set of trinucleotides whose main property is the retrieval of the frames in genes locally, i.e., anywhere in genes and particularly without start codons, and automatically with a window of a few nucleotides. After a certain evolutionary time and with particular time dependent functions for the 3 substitution parameters, precisely an exponential decrease in the 1st and 2nd trinucleotide sites and an exponential increase in the 3rd one, this pseudochaotic model retrieves the main statistical properties of the 3 circular codes observed in genes. Furthermore, it leads to a circular code asymmetry stronger than the standard model (nonpseudochaotic) and, therefore, to a better correlation with the genes.     

Dynamics of Weeds in the Soil Seed Bank: A Hidden Markov Model to Estimate Life History Traits from Standing Plant Time Series

Predicting the population dynamics of annual plants is a challenge due to their hidden seed banks in the field. However, such predictions are highly valuable for determining management strategies, specifically in agricultural landscapes. In agroecosystems, most weed seeds survive during unfavourable seasons and persist for several years in the seed bank. This causes difficulties in making accurate predictions of weed population dynamics and life history traits (LHT). Consequently, it is very difficult to identify management strategies that limit both weed populations and species diversity. In this article, we present a method of assessing weed population dynamics from both standing plant time series data and an unknown seed bank. We use a Hidden Markov Model (HMM) to obtain estimates of over 3,080 botanical records for three major LHT: seed survival in the soil, plant establishment (including post-emergence mortality), and seed production of 18 common weed species. Maximum likelihood and Bayesian approaches were complementarily used to estimate LHT values. The results showed that the LHT provided by the HMM enabled fairly accurate estimates of weed populations in different crops. There was a positive correlation between estimated germination rates and an index of the specialisation to the crop type (IndVal). The relationships between estimated LHTs and that between the estimated LHTs and the ecological characteristics of weeds provided insights into weed strategies. For example, a common strategy to cope with agricultural practices in several weeds was to produce less seeds and increase germination rates. This knowledge, especially of LHT for each type of crop, should provide valuable information for developing sustainable weed management strategies.     

Niche Partitioning in Sympatric Gorilla and Pan from Cameroon: Implications for Life History Strategies and for Reconstructing the Evolution of Hominin Life History

Factors influencing the hominoid life histories are poorly understood, and little is known about how ecological conditions modulate the pace of their development. Yet our limited understanding of these interactions underpins life history interpretations in extinct hominins. Here we determined the synchronisation of dental mineralization/eruption with brain size in a 20^th century museum collection of sympatric Gorilla gorilla and Pan troglodytes from Central Cameroon. Using δ¹³C and δ¹⁵N of individuals’ hair, we assessed whether and how differences in diet and habitat use may have impacted on ape development. The results show that, overall, gorilla hair δ¹³C and δ¹⁵N values are more variable than those of chimpanzees, and that gorillas are consistently lower in δ¹³C and δ¹⁵N compared to chimpanzees. Within a restricted, isotopically-constrained area, gorilla brain development appears delayed relative to dental mineralization/eruption [or dental development is accelerated relative to brains]: only about 87.8% of adult brain size is attained by the time first permanent molars come into occlusion, whereas it is 92.3% in chimpanzees. Even when M1s are already in full functional occlusion, gorilla brains lag behind those of chimpanzee (91% versus 96.4%), relative to tooth development. Both bootstrap analyses and stable isotope results confirm that these results are unlikely due to sampling error. Rather, δ¹⁵N values imply that gorillas are not fully weaned (physiologically mature) until well after M1 are in full functional occlusion. In chimpanzees the transition from infant to adult feeding appears (a) more gradual and (b) earlier relative to somatic development. Taken together, the findings are consistent with life history theory that predicts delayed development when non-density dependent mortality is low, i.e. in closed habitats, and with the “risk aversion” hypothesis for frugivorous species as a means to avert starvation. Furthermore, the results highlight the complexity and plasticity of hominoid/hominin development.     

Density-Dependent Nematode Seasonal Multiplication Rates and Overwinter Survivorship: A Critical Point Model

Nematode multiplication rates Pf/Pi and overwinter survivorship (Pi2/Pfl) for Meloidogyne incognita were both adequately described by negative exponential models, indicating density dependence in each case. Density dependence of the multiplication rates is mediated by resource limitation and host damage; in survivorship rates it may be mediated by limitation of stored reserves or prevalence of antagonists. Parameters of multiplication rate models were crop specific and varied with host status and environmental suitability. Maximum multiplication rates (a) of nearly 1,000 were measured for tomatoes. Equilibrium densities were sensitive to tolerance of the nematode by the crop. Overwinter survival rates varied among locations where cultural practices and length of infestation time differed.     

Disentangling the Evolution of Early and Late Life History Traits in Humans

Some aspects of human life history are unique among primates. Most notably, humans have a younger weaning age, a later age at first parturition, a shorter female reproductive period, and a longer lifespan than other living hominoid species. Obtaining a better understanding of when and how life history changed during human evolution is important to those studying the evolutionary developmental biology of extinct hominins, as life history traits pace developmental processes. Life history traits are thought to be linked via tradeoffs, such that changes in early life history traits directly affect those that follow later in life, and vice versa. However, it is also worth considering how changes to a single life history trait may indirectly affect other traits by way of modifying selective pressures acting on individuals and groups. For example, because they affect the size and demographic structure of a group, late life history traits (e.g., lifespan) may also affect the evolution of life history traits that occur earlier in life, but by modifying selective pressures acting on juveniles rather than by triggering a physiological tradeoff. This review marks an effort to begin to disentangle the ways in which early and late life history traits may affect each other both directly and indirectly. We concentrate on female life history characteristics. First, we review previous research on the evolution of the postmenopausal lifespan in women. Next we discuss recent findings concerning the relationship between the optimal length of the female reproductive period, mortality, and weaning age that show that selection favors a shorter female reproductive period in the presence of a younger weaning age. We discuss the implications this finding holds for understanding the evolution of life history traits that are of particular interest to developmental biologists.