Search

The connection between soil nitrogen availability, leaf nitrogen, and photosynthetic capacity is not perfectly understood. Because these three components tend to be positively related over large spatial scales, some posit that soil nitrogen positively drives leaf nitrogen, which positively drives photosynthetic capacity. Alternatively, others posit that photosynthetic capacity is primarily driven by above-ground conditions. Here, we examined the physiological responses of a non-nitrogen-fixing plant (Gossypium hirsutum) and a nitrogen-fixing plant (Glycine max) in a fully factorial combination of light by soil nitrogen availability to help reconcile these competing hypotheses. Soil nitrogen stimulated leaf nitrogen in both species, but the relative proportion of leaf nitrogen used for photosynthetic processes was reduced under elevated soil nitrogen in all light availability treatments due to greater increases in leaf nitrogen content than chlorophyll and leaf biochemical process rates. Leaf nitrogen content and biochemical process rates in G. hirsutum were more responsive to changes in soil nitrogen than those in G. max, probably due to strong G. max investments in root nodulation under low soil nitrogen. Nonetheless, whole-plant growth was significantly enhanced by increased soil nitrogen in both species. Light availability consistently increased relative leaf nitrogen allocation to leaf photosynthesis and whole-plant growth, a pattern that was similar between species. These results suggest that the leaf nitrogen-photosynthesis relationship varies under different soil nitrogen levels and that these species preferentially allocated more nitrogen to plant growth and non-photosynthetic leaf processes, rather than photosynthesis, as soil nitrogen increased., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Plant nitrogen acquisition requires carbon to be allocated belowground to build roots and sustain microbial associations. This carbon cost to acquire nitrogen varies by nitrogen acquisition strategy; however, the degree to which these costs vary due to nitrogen availability or demand has not been well tested under controlled conditions. We grew a species capable of forming associations with nitrogen-fixing bacteria (Glycine max) and a species not capable of forming such associations (Gossypium hirsutum) under four soil nitrogen levels to manipulate nitrogen availability and four light levels to manipulate nitrogen demand in a full-factorial greenhouse experiment. We quantified carbon costs to acquire nitrogen as the ratio of total root carbon to whole-plant nitrogen within each treatment combination. In both species, light availability increased carbon costs due to a larger increase in root carbon than whole-plant nitrogen, while nitrogen fertilization generally decreased carbon costs due to a larger increase in whole-plant nitrogen than root carbon. Nodulation data indicated that G. max shifted relative carbon allocation from nitrogen fixation to direct uptake with increased nitrogen fertilization. These findings suggest that carbon costs to acquire nitrogen are modified by changes in light and nitrogen availability in species with and without associations with nitrogen-fixing bacteria., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Introduction: Lesbian, gay, and bisexual (LGB) adults have higher rates of smoking than heterosexual adults. LGB individuals face unique stressors, including challenges associated with having a LGB identity. The extent to which these unique stressors are related to dependence motives in LGB adult smokers, however, has not been previously explored. The current study was conducted to redress these gaps., Methods: Participants (N = 52; Mage = 42.8; 55.8% Black/African American) were recruited from the local community. Identity facets were measured by the Lesbian, Gay, and Bisexual Identity Scale (LGBIS). Dependence motives were measured by the Brief Wisconsin Inventory of Smoking Dependence Motives. Linear multiple regressions were calculated with the predictors of seven LGBIS subscales for primary and secondary dependence motives, respectively., Results: Primary dependence motives (core nicotine dependence features) were predicted by affirmation of LGB identity (β = 0.44). Secondary dependence motives (eg, taste, cognitive/affective enhancement) were predicted by uncertainty of LGB identity (β = 0.43)., Conclusions: LGB identity affirmation was associated with primary dependence motives, suggesting that a positive view of one's sexual orientation is a risk factor for dependence. It may be that identity affirmation is related to stronger involvement with the LGB community, which has smoking-friendly norms. Identity uncertainty was associated with secondary dependence motives; this unique identity challenge may represent a stressor contributing to smoking dependence. Findings can help explain the higher rate of smoking in LGB populations and offer avenues to better tailor smoking cessation interventions., Implications: The current study is the first to examine multidimensional aspects of LGB identity in explaining smoking dependence motives among LGB adults. Results reveal that LGB identity challenges are associated with dependence motives, suggesting that interventions targeting these challenges may be help reduce LGB smoking disparities. Specifically, reducing identity uncertainty may help reduce smoking dependence. Though identity affirmation was a smoking dependence correlate, it is counterproductive to reduce affirmation, given its association with other positive health outcomes. Rather, interventions to change LGB community norms around smoking appear warranted, given the documented high overlap between affirmation and community affiliation., (© The Author 2017. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

We have performed simulations to assess the performance of three population genetics approximate-likelihood methods in estimating the population-scaled recombination rate from sequence data. We measured performance in two ways: accuracy when the sequence data were simulated according to the (simplistic) standard model underlying the methods and robustness to violations of many different aspects of the standard model. Although we found some differences between the methods, performance tended to be similar for all three methods. Despite the fact that the methods are not robust to violations of the underlying model, our simulations indicate that patterns of relative recombination rates should be inferred reasonably well even if the standard model does not hold. In addition, we assess various techniques for improving the performance of approximate-likelihood methods. In particular we find that the composite-likelihood method of Hudson (2001) can be improved by including log-likelihood contributions only for pairs of sites that are separated by some prespecified distance.

Regional biases in substitution pattern are likely to be responsible for the large-scale variation in base composition observed in vertebrate genomes. However, the evolutionary forces responsible for these biases are still not clearly defined. In order to study the processes of mutation and fixation across the entire human genome, we analyzed patterns of substitution in Alu repeats since their insertion. We also studied patterns of human polymorphism within the repeats. There is a highly significant effect of recombination rate on the pattern of substitution, whereas no such effect is seen on the pattern of polymorphism. These results suggest that regional biases in substitution are caused by biased gene conversion, a process that increases the probability of fixation of mutations that increase GC content. Furthermore, the strongest correlate of substitution patterns is found to be male recombination rates rather than female or sex-averaged recombination rates. This indicates that in addition to sexual dimorphism in recombination rates, the sexes also differ in the relative rates of crossover and gene conversion.

The human genome is organized with regard to many features such as isochores, Giemsa bands, clusters of genes with similar expression patterns, and contiguous regions with shared evolutionary histories (synteny blocks). In addition to these genomic features, it is clear that mutation rates also vary across the human genome. To address how mutation rates and genomic features are related, we analyzed substitution rates at three classes of putatively neutral noncoding sites (nongenic, intronic, and ancestral repeats) in approximately 14 Mb of human-chimpanzee alignments covering human chromosome 7. Patterns of mutation rate variation inferred from substitution rate variation differ among the three site classes. In particular, we find that intronic mutation rates are strongly affected by the breadth of expression of the genes in which they reside, with broadly expressed genes exhibiting low mutation rates, probably as a consequence of the transcription-coupled repair process acting in the germ line. All site classes show significant local similarities in mutation rate at the megabase scale, and regional similarities in nongenic mutation rate covary with blocks of synteny between the human and mouse genomes, indicating that the evolutionary history of a genomic region is an important determinant of mutation rate.

To investigate mutation-rate variation between autosomes and sex chromosomes in the avian genome, we have analyzed divergence between chicken (Gallus gallus) and turkey (Meleagris galopavo) sequences from 33 autosomal, 28 Z-linked, and 14 W-linked introns with a total ungapped alignment length of approximately 43,000 bp. There are pronounced differences in the mean divergence among autosomes and sex chromosomes (autosomes [A] = 10.08%, Z chromosome = 10.99%, and W chromosome = 5.74%), and we use these data to estimate the male-to-female mutation-rate ratio (alpha(m)) from Z/A, Z/W, and A/W comparisons at 1.71, 2.37, and 2.52, respectively. Because the alpha(m) estimates of the three comparisons do not differ significantly, we find no statistical support for a specific reduction in the Z chromosome mutation rate (Z reduction estimated at 4.89%, P = 0.286). The idea of mutation-rate reduction in the sex chromosome hemizygous in one sex (i.e., X in mammals, Z in birds) has been suggested on the basis of theory on adaptive mutation-rate evolution. If it exists in birds, the effect would, thus, seem to be weak; a preliminary power analysis suggests that it is significantly less than 18%. Because divergence may vary within chromosomal classes as a result of variation in mutation and/or selection, we developed a novel double-bootstrapping method, bootstrapping both by introns and sites from concatenated alignments, to estimate confidence intervals for chromosomal class rates and for alpha(m). The narrowest interval for the alpha(m) estimate is 1.88 to 2.97 from the Z/W comparison. We also estimated alpha(m) using maximum likelihood on data from all three chromosome classes; this method yielded alpha(m) = 2.47 and approximate 95% confidence intervals of 2.27 to 2.68. Our data are broadly consistent with the idea that mutation-rate differences between chromosomal classes can be explained by the male mutation bias alone.

If DNA replication is a major cause of mutation, then those life-history characters, which are expected to affect the number of male germline cell divisions, should also affect the male to female mutation bias (alpha(m)). We tested this hypothesis by comparing several clades of bird species, which show variation both in suitable life-history characters (generation time as measured by age at first breeding and sexual selection as measured by frequency of extrapair paternity) and in alpha(m), which was estimated by comparing Z-linked and W-linked substitution rates in gametologous introns. Alpha(m) differences between clades were found to positively covary with both generation time and sexual selection, as expected if DNA replication causes mutation. The effects of extrapair paternity frequency on alpha(m) suggests that increased levels of sexual selection cause higher mutation rates, which offers an interesting solution to the paradox of the loss of genetic variance associated with strong directional sexual selection. We also used relative rate tests to examine whether the observed differences in alpha(m) between clades were due to differences in W-linked or Z-linked substitution rates. In one case, a significant difference in alpha(m) between two clades was shown to be due to W-linked rates and not Z-linked rates, a result that suggests that mutation rates are not determined by replication alone.

We have examined the compositional evolution of noncoding DNA in the primate genome by comparison of lineage-specific substitutions observed in 1.8 Mb of genomic alignments of human, chimpanzee, and baboon with 6542 human single-nucleotide polymorphisms (SNPs) rooted using chimpanzee sequence. The pattern of compositional evolution, measured in terms of the numbers of GC-->AT and AT-->GC changes, differs significantly between fixed and polymorphic sites, and indicates that there is a bias toward fixation of AT-->GC mutations, which could result from weak directional selection or biased gene conversion in favor of high GC content. Comparison of the frequency distributions of a subset of the SNPs revealed no significant difference between GC-->AT and AT-->GC polymorphisms, although AT-->GC polymorphisms in regions of high GC segregate at slightly higher frequencies on average than GC-->AT polymorphisms, which is consistent with a fixation bias favoring high GC in these regions. However, the substitution data suggest that this fixation bias is relatively weak, because the compositional structure of the human and chimpanzee genomes is becoming homogenized, with regions of high GC decreasing in GC content and regions of low GC increasing in GC content. The rate and pattern of nucleotide substitution in 333 Alu repeats within the human-chimpanzee-baboon alignments are not significantly affected by the GC content of the region in which they are inserted, providing further evidence that, since the time of the human-chimpanzee ancestor, there has been little or no regional variation in mutation bias.

We have used analysis of variance to partition the variation in synonymous and amino acid substitution rates between three effects (gene, lineage, and a gene-by-lineage interaction) in mammalian nuclear and mitochondrial genes. We find that gene effects are stronger for amino acid substitution rates than for synonymous substitution rates and that lineage effects are stronger for synonymous substitution rates than for amino acid substitution rates. Gene-by-lineage interactions, equivalent to overdispersion corrected for lineage effects, are found in amino acid substitutions but not in synonymous substitutions. The variance in the ratio of amino acid and synonymous substitution rates is dominated by gene effects, but there is also a significant gene-by-lineage interaction.

The occurrence of double-nucleotide (doublet) mutations is contrary to the normal assumption that point mutations affect single nucleotides. Here we develop a new method for estimating the doublet mutation rate and apply it to more than a megabase of human-chimpanzee-baboon genomic DNA alignments and more than a million human single-nucleotide polymorphisms. The new method accounts for the effect of regional variation in evolutionary rates, which may be a confounding factor in previous estimates of the doublet mutation rate. Furthermore we determine sequence context effects by using sequence comparisons over a variety of lineage lengths. This approach yields a new estimate of the doublet mutation rate of 0.3% of the singleton rate, indicating that doublet mutations are far rarer than previously thought. Our results suggest that doublet mutations are unlikely to have caused the correlation between synonymous and nonsynonymous substitution rates in mammals, and also show that regional variation and sequence context effects play an important role in primate DNA sequence evolution.

The large-scale systematic variation in nucleotide composition along mammalian and avian genomes has been a focus of the debate between neutralist and selectionist views of molecular evolution. Here we test whether the compositional variation is due to mutation bias using two new tests, which do not assume compositional equilibrium. In the first test we assume a standard population genetics model, but in the second we make no assumptions about the underlying population genetics. We apply the tests to single-nucleotide polymorphism data from noncoding regions of the human genome. Both models of neutral mutation bias fit the frequency distributions of SNPs segregating in low- and medium-GC-content regions of the genome adequately, although both suggest compositional nonequilibrium. However, neither model fits the frequency distribution of SNPs from the high-GC-content regions. In contrast, a simple population genetics model that incorporates selection or biased gene conversion cannot be rejected. The results suggest that mutation biases are not solely responsible for the compositional biases found in noncoding regions.

We have attempted to quantify the frequency and effects of slightly deleterious mutations (SDMs), those that have selective effects close to the reciprocal of the effective population size of a species, by comparing the level of selective constraint in protein-coding genes of related species that have different present-day effective population sizes. In our two comparisons, the species with the smaller effective population size showed lower constraint, implying that SDMs had become fixed. The fixation of SDMs was supported by the observation of a higher fraction of radical to conservative amino acid substitutions in species with smaller effective population sizes. The fraction of strongly deleterious mutations (which rarely become fixed) is >70% in most species. Only approximately 10% or fewer of mutations seem to behave as SDMs, but SDMs could comprise a substantial fraction of mutations in protein-coding genes that have a chance of becoming fixed between species.

It is has been suggested that synonymous codon bias is a consequence of mutation bias in mammals. We tested this hypothesis in humans using single-nucleotide polymorphism data. We found a pattern of polymorphism which was inconsistent with the mutation bias hypothesis in G+C-rich genes. However, the data were consistent with the action of natural selection or biased gene conversion. Similar patterns of polymorphism were also observed in noncoding DNA, suggesting that natural selection or biased gene conversion may affect large tracts of the human genome.

Nonsynonymous substitutions in DNA cause amino acid substitutions while synonymous substitutions in DNA leave amino acids unchanged. The cause of the correlation between the substitution rates at nonsynonymous (K(A)) and synonymous (K(S)) sites in mammals is a contentious issue, and one that impacts on many aspects of molecular evolution. Here we use a large set of orthologous mammalian genes to investigate the causes of the K(A)-K(S) correlation in rodents. The strength of the K(A)-K(S) correlation exceeds the neutral theory expectation when substitution rates are estimated using algorithmic methods, but not when substitution rates are estimated by maximum likelihood. Irrespective of this methodological uncertainty the strength of the K(A)-K(S) correlation appears mostly due to tandem substitutions, an excess of which is generated by substitutional nonindependence. Doublet mutations cannot explain the excess of tandem synonymous-nonsynonymous substitutions, and substitution patterns indicate that selection on silent sites is the likely cause. We find no evidence for selection on codon usage. The nature of the relationship between synonymous divergence and base composition is unclear because we find a significant correlation if we use maximum-likelihood methods but not if we use algorithmic methods. Finally, we find that K(S) is reduced at the start of genes, which suggests that selection for RNA structure may affect silent sites in mammalian protein-coding genes.

Miyata et al. have suggested that the male-to-female mutation rate ratio (alpha) can be estimated by comparing the neutral substitution rates of X-linked (X), Y-linked (Y), and autosomal (A) genes. Rodent silent site X/A comparisons provide very different estimates from X/Y comparisons. We examine three explanations for this discrepancy: (1) statistical biases and artifacts, (2) nonneutral evolution, and (3) differences in mutation rate per germline replication. By estimating errors and using a variety of methodologies, we tentatively reject explanation 1. Our analyses of patterns of codon usage, synonymous rates, and nonsynonymous rates suggest that silent sites in rodents are evolving neutrally, and we can therefore reject explanation 2. We find both base composition and methylation differences between the different sets of chromosomes, a result consistent with explanation 3, but these differences do not appear to explain the observed discrepancies in estimates of alpha. Our finding of significantly low synonymous substitution rates in genomically imprinted genes suggests a link between hemizygous expression and an adaptive reduction in the mutation rate, which is consistent with explanation 3. Therefore our results provide circumstantial evidence in favor of the hypothesis that the discrepancies in estimates of alpha are due to differences in the mutation rate per germline replication between different parts of the genome. This explanation violates a critical assumption of the method of Miyata et al., and hence we suggest that estimates of alpha, obtained using this method, need to be treated with caution.

The repeatability of patterns of variation in Ka/Ks and Ks is expected if such patterns are the result of deterministic forces. We have contrasted the molecular evolution of the mammalian insulin-like growth factor type II receptor (Igf2r) in the mouse-rat comparison with that in the human-cow comparison. In so doing, we investigate explanations for both the evolution of genomic imprinting and for Ks variation (and hence putatively for mutation rate evolution). Previous analysis of Igf2r, in the mouse-rat comparison, found Ka/Ks patterns that were suggested to be contrary to those expected under the conflict theory of imprinting. We find that Ka/Ks variation is repeatable and hence confirm these patterns. However, we also find that the molecular evolution of Igf2r signal sequences suggests that positive selection, and hence conflict, may be affecting this region. The variation in Ks across Igf2r is also repeatable. To the best of our knowledge this is the first demonstration of such repeatability. We consider three explanations for the variation in Ks across the gene: (1) that it is the result of mutational biases, (2) that it is the result of selection on the mutation rate, and (3) that it is the product of selection on codon usage. Explanations 2 and 3 predict a Ka-Ks correlation, which is not found. Explanation 3 also predicts a negative correlation between codon bias and Ks, which is also not found. However, in support of explanation 1 we do find that in rodents the rate of silent C --> T mutations at CpG sites does covary with Ks, suggesting that methylation-induced mutational patterns can explain some of the variation in Ks. We find evidence to suggest that this CpG effect is due to both variation in CpG density, and to variation in the frequency with which CpGs mutate. Interestingly, however, a GC4 analysis shows no covariance with Ks, suggesting that to eliminate methyl-associated effects CpG rates themselves must be analyzed. These results suggest that, in contrast to previous studies of intragenic variation, Ks patterns are not simply caused by the same forces responsible for Ka/Ks correlations.