Legumes were among the first plant species to be domesticated, and accompanied cereals in expansion of agriculture from the Fertile Crescent into diverse environments across the Mediterranean basin, Europe, Central Asia, and the Indian subcontinent. Although several recent studies have outlined the molecular basis for domestication and eco-geographic adaptation in the two main cereals from this region, wheat and barley, similar questions remain largely unexplored in their legume counterparts. Here we identify two major loci controlling differences in photoperiod response between wild and domesticated pea, and show that one of these, HIGH RESPONSE TO PHOTOPERIOD (HR), is an ortholog of EARLY FLOWERING 3 (ELF3), a gene involved in circadian clock function. We found that a significant proportion of flowering time variation in global pea germplasm is controlled by HR, with a single, widespread functional variant conferring altered circadian rhythms and the reduced photoperiod response associated with the spring habit. We also present evidence that ELF3 has a similar role in lentil, another major legume crop, with a distinct functional variant contributing to reduced photoperiod response in cultivars widely deployed in short-season environments. Our results identify the factor likely to have permitted the successful prehistoric expansion of legume cultivation to Northern Europe, and define a conserved genetic basis for major adaptive changes in flowering phenology and growth habit in an important crop group.crop adaptation | Pisum sativum | Lens culinaris M any of the world's earliest agricultural systems were based around crops from two important groups: cereals and legumes. Although molecular and genetic analyses have led to considerable progress in understanding the genetic changes underlying domestication and adaptation in several cereal crops, similar efforts in legumes are in general much less advanced. Among the legumes domesticated in the world's oldest farming culture in the Neolithic Near East, the temperate long-day (LD) species lentil (Lens culinaris Medik.), pea (Pisum sativum L.), and chickpea (Cicer arietinum L.) all persist as crops of global economic importance. Of these crops, pea has the widest distribution, the most diverse phenology, and is the best understood genetically, and offers prospects for a detailed exploration of molecular events important in early cultivation and spread (1, 2).P. sativum is now generally viewed as a complex species that includes a wide variety of cultivated and wild forms with pink, purple, or white flowers (1). Wild P. sativum lines are characterized by dehiscent pods and a rough, thick seed coat, and include both tall, climbing forms distributed around the Mediterranean (P. sativum var. elatius) and shorter forms restricted to the Near East (P. sativum var. humile), which intergrade in their areas of overlap. Cytogenetic differences and analyses of genetic diversity support the view that the majority of cultivated peas originated from a distinct gene pool within var....

Earliness is one of the most important adaptation traits in plant breeding. Our purpose was to identify the genome regions of bread wheat involved in the control of earliness and its three components: photoperiod sensitivity (PS), vernalization requirement (VR) and intrinsic earliness (IE). A QTL meta-analysis was carried out to examine the replicability of QTL across 13 independent studies and to propose meta-QTL (MQTL). Initial QTL were projected on a recent consensus map (2004). Quality criteria were proposed to assess the reliability of this projection. These criteria were based on the distances between markers in the QTL regions. Chromosomes of groups 2 and 5 had a greater incidence on earliness control as they carry the known, major genes Ppd and Vrn. Other chromosome regions played an intermediate role in earliness control: 4A [heading date (HD) Meta-QTL], 4B (HD MQTL), 2B (VR MQTL) and 5B (IE MQTL). Markers at this four MQTL should prove helpful in marker-assisted selection, to better control earliness.

To limit N-fertilizer applied on wheat, cultivars that use N more efficiently are needed. Our objective was to investigate differences of nitrogen utilization in varieties by studying qualitative and quantitative proteins expression. Two wheat varieties, 'Arche' and 'Récital', were grown under controlled conditions at four N levels (0, 2, 8, and 20 mg N/plant/day) with two replicates. The number of tillers/plant, aerial dry weight/plant and total N content were measured after two months. Two-dimensional gel electrophoresis was also performed on leaf protein extracts. Analyses of variance showed that the N level effect was highly significant for the number of tillers/plant, aerial dry weight and N content. The variety x N level interaction was significant for N content. Analyses of variance on % volume carried out for 524 spots showed a significant variety effect for 55 spots and a significant N treatment effect for 76 spots. Twenty spots showed a significant variety x N treatment interaction. Fourteen proteins were identified by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The possible role of these proteins, eight of which belong to the carbon metabolism, is discussed.

Low temperature stress affects growth and development in pea (Pisum sativum L.) and decreases yield. In this study, RNA sequencing time series analyses performed on lines, Champagne frost-tolerant and Térèse frost-sensitive, during a low temperature treatment versus a control condition, led us to identify 4981 differentially expressed genes. Thanks to our experimental design and statistical analyses, we were able to classify these genes into three sets. The first one was composed of 2487 genes that could be related to the constitutive differences between the two lines and were not regulated during cold treatment. The second gathered 1403 genes that could be related to the chilling response. The third set contained 1091 genes, including genes that could be related to freezing tolerance. The identification of differentially expressed genes related to cold, oxidative stress, and dehydration responses, including some transcription factors and kinases, confirmed the soundness of our analyses. In addition, we identified about one hundred genes, whose expression has not yet been linked to cold stress. Overall, our findings showed that both lines have different characteristics for their cold response (chilling response and/or freezing tolerance), as more than 90% of differentially expressed genes were specific to each of them.

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