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Record W2528053134 · doi:10.1093/biosci/biw106

Taming the Wild Carrot

2016· article· en· W2528053134 on OpenAlexaff
M. Jean Stone

Bibliographic record

VenueBioScience · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental, Ecological, and Cultural Studies
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsHorticultureBiology

Abstract

fetched live from OpenAlex

Selective breeding has serendipitously made orange domestic carrots far more healthful than their wild ancestors. “The popularity of this carrot is fortuitous for modern consumers because the orange pigmentation results from high quantities of alpha- and beta-carotene, making carrots the richest source of provitamin A in the US diet,” according to an international team of 21 scientists who recently reported an extensive genome assembly and analysis of the orange carrot. It is, in fact, one of the most complete vegetable genomes ever assembled, as described in a recent Nature Genetics article (doi:10.1038/ng.3565). Importantly, this first full genomic analysis of a carrot (Daucus carota) reveals a candidate gene, DCAR-032551, responsible for carotene accumulation and helps explain how it works. It appears that the primary carotene regulatory mechanism is not at the biosynthetic level but rather at the developmental one, where it drives light-mediated development, or photomorphogenesis, and responses of shoots to sunlight, or de-etiolation. The study's principal investigator, Philipp Simon, at the US Department of Agriculture's (USDA) Agricultural Research Service, and his colleagues propose that the subsequent loss of repression by genes responsible for photomorphogenesis and de-etiolation in nonphotosynthetic carrot tissue activates a metabolic cascade resulting in the high levels of carotenoid accumulation. “Wild carrots are white, or off white, like their close relative the parsnip,” says Simon. “Color provides no advantage to the carrot, but it's worth ­noting that it also imparts no [major] disadvantage.” However, because cosmetic changes are generally made at the expense of fitness, domestic plants tend to be less robust than their wild ancestors, resulting in the ever-escalating need for crop-protecting pesticides and fertilizers. The advantage of color may have been to early farmers, enabling them to identify outcrosses to wild carrots more easily, Simon speculates. “Wild carrots are still abundant in Europe and Asia where domestic carrots originated, as well as throughout the United States, where we know them as Queen Anne's lace.” Steve Wiley at Murdoch University, in Perth, Australia, notes that the USDA lists wild carrots as “noxious” weeds. However, wild carrots are edible and free with a little digging. Perhaps a little digging into the wild carrot's genome could find genes that, when transferred, would increase the fitness of domestic carrots. Yellow and purple domesticated carrot roots were first discovered in Central Asia and date back approximately 1100 years. Reliable evidence of orange carrots has been found in Europe but not before the sixteenth century. Notably, carrots are the most important crop in the Apiaceae family, which includes celery, parsley, fennel, coriander, and cumin, as well as parsnips and a number of other important vegetables and spices. Simon and his collaborators identified a total of 32,113 genes from an orange carrot, of which 10,530 were unique to carrots, in general. Then, they sequenced 35 different wild and cultivated carrot specimens to establish domestication patterns. “This work is quality; it's extremely thorough and well done,” comments Anthony Trewavas, from the Institute of Molecular Plant Science in Edinburgh, who was not involved in the project. “It's an outstanding investigation involving a huge amount of research.” In stark contrast to genetically challenged domestic plants bred for features other than fitness and despite having one of the smallest genomes of any known agricultural weed, horseweed (Conyza canadenis) is one of the most successful plants in the world. Carrots and other domestic plants could benefit greatly from the acquisition of some of horseweed's many survival genes. For example, with only 44,592 protein-coding nuclear genes, horseweed manages to produce well over 200,000 small seeds per plant. Each seed is able to travel long distances on wind and water, germinate quickly, dig its roots in deep, retreat into dormancy when necessary, regenerate, and self-fertilize. All of this combined with other weedy attributes, such as the ability to evolve herbicide resistance, enables horseweed to easily outcompete pampered crop plants, as well as the humans who raise them. Research is under way to build a genomic resource for horseweed substantial enough to explain the genomic basis of “weediness,” say C. Neal Stewart Jr. and his colleagues in the November 2014 issue of Plant Physiology. Once this is accomplished, it might be possible to protect our food plants on a molecular level. Expert scientists consider this important. Among them, members of the Unified Microbiome Initiative Consortium say in a consensus statement released in late 2015, “By manipulating interactions at the root-soil-microbe interface, we may reduce agricultural pesticide, fertilizer, and water use, enrich marginal land, and rehabilitate degraded soil.”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.007
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.276
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractno

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