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The Royal Society Report - Push-Pull

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3.2.2 Phenotype analysis<br />

Marker-assisted plant breeding places the emphasis on<br />

DNA screening rather than on detailed analysis of the plant<br />

phenotype. However, the breeding cycle is further<br />

enhanced whenever plant phenotypes can be analysed<br />

with higher resolution and greater precision than<br />

previously. In this section we describe various<br />

developments in phenotype analysis that can be combined<br />

with MAS to enhance the identification of crop plants with<br />

agronomically useful genes or combinations of genes.<br />

3.2.2.1 Phenotyping platforms<br />

It is now possible to screen many different plant genotypes<br />

quickly and simultaneously for the traits expressed<br />

(phenotype) using ‘phenotyping platforms’ (Finkel 2009) .<br />

<strong>The</strong>se systems involve the use of precisely defined<br />

environmental conditions and sophisticated imaging and<br />

other recording methods to monitor the growth and<br />

development of crop plants (Xie et al. 2006; Rajendran<br />

et al. 2009). When combined with high-resolution genetic<br />

maps or with mutant collections in which a high proportion<br />

of genes in a genome are disrupted, these platforms are a<br />

very effective way of revealing sets of genes that influence<br />

agronomically significant phenotypes. Trait data can often<br />

be obtained automatically. For instance, root platforms<br />

now allow dynamic characterisation of root system<br />

architecture and sites of root water uptake in hundreds of<br />

plants using non-invasive systems built on computer<br />

tomography (de Dorlodot et al. 2007). Other systems make<br />

it possible to introduce drought stress and measure<br />

biomass, transpiration, leaf growth and architecture, root<br />

growth and architecture and soil water uptake in many<br />

plants in a single experiment.<br />

<strong>The</strong>se phenotyping platforms are sophisticated, resourceintensive<br />

facilities and they are not appropriate for local<br />

breeding institutions. However, they are an essential<br />

component of the research infrastructure in leading<br />

national and international research centres where they are<br />

required for full exploitation of high-resolution genetic<br />

maps and genome sequence data.<br />

3.2.2.2 High throughput analysis of small molecules<br />

Plants make an enormous diversity of small molecules,<br />

which include mediators of communication between<br />

plants, between microbes and between plants and<br />

microbes. High throughput analysis (a technique which<br />

allows the fast analysis of a large number of molecules in<br />

parallel) based on mass spectrometry now allows these<br />

small molecule populations to be better described (Schauer<br />

& Fernie 2006). In some instances functions can be<br />

assigned to these small molecules by combining mass<br />

spectrometry output with expression profiling and<br />

phenotype analysis. <strong>The</strong>se high throughput approaches<br />

have revolutionised our ability to analyze the natural<br />

chemicals in plants and other organisms: it is no longer<br />

necessary to devise separate assay methods for each type<br />

of chemical because in a single sample it is now possible<br />

to identify thousands of compounds.<br />

Application of these methods now allows a chemical profile<br />

of individual plants in the progeny of breeding crosses or<br />

following particular crop management strategies. Individual<br />

compounds or sets of compounds can then be used as<br />

indicators of useful traits in the way that DNA markers are<br />

used as described in Section 3.2.1.1. In large-scale<br />

breeding programmes and trials of new crop management<br />

practice it may be easier and more efficient to assay the<br />

compounds rather than the traits when there are many<br />

plant lines or crop treatments under investigation. In effect<br />

this would be a ‘metabolic marker’ approach that could be<br />

used together with, or instead of, DNA markers.<br />

Recent work illustrates the potential of this approach: a set<br />

of metabolites was identified that is associated with plant<br />

acclimation to cold (Guy et al. 2008). This work was carried<br />

out in the model species Arabidopsis but similar analyses<br />

could be repeated in crops and applied to a variety of traits.<br />

<strong>The</strong>se assays would provide metabolic markers, for<br />

example, of crucial stress-sensitive stages of development<br />

of our major crops, eg grain abortion and early seed<br />

growth under drought or other crucial traits. <strong>The</strong><br />

development of these methods is not as well advanced as<br />

DNA MAS but they are likely to be an important<br />

complementary approach over the next five years.<br />

In the longer term new technologies for chemical<br />

characterisation also link to the development of novel crop<br />

protection chemicals. Many of the existing crop protection<br />

chemicals are based on natural compounds found in<br />

plants. Some herbicides are plant hormone derivatives and<br />

compounds to protect from disease may be based on<br />

chemicals in plants involved in signalling during disease<br />

resistance. With the availability of high throughput<br />

methods to characterise the chemical composition of crop<br />

plants there is a long-term opportunity to identify novel<br />

compounds that can be applied to crop plants sustainably.<br />

3.2.2.3 Isotopic analysis for drought resistance or<br />

high water use efficiency<br />

In 1982 Farquhar and co-workers developed a method for<br />

assessing water use efficiency of crops using the ratio of<br />

the abundance of the natural isotopes of carbon, 13 C and<br />

12<br />

C (Farquhar et al. 1994). During diffusion and biochemical<br />

fixation of CO 2 , the ratio 13 C/ 12 C is different from the<br />

normal abundance in the atmosphere. <strong>The</strong> ratio depends<br />

on the balance between diffusion into the leaf and<br />

demand, so a measure of the ratio gives a measure of<br />

water use efficiency. <strong>The</strong> approach has now been used to<br />

investigate water use efficiency in many crops. In C3<br />

plants, the technique has led directly to the selection of<br />

improved crop varieties, most notably Q15 in wheat<br />

(Condon et al. 2004). However, it is not suitable for<br />

screening C4 plants such as maize.<br />

3.2.2.4 Modelling<br />

Progress in breeding for high and stable yields in crop plants<br />

under many kinds of environmental stress would be greatly<br />

speeded up if it were possible to predict the consequences<br />

24 I October 2009 I Reaping the Benefits <strong>The</strong> <strong>Royal</strong> <strong>Society</strong>

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