SpikeDroidDB: AN INFORMATION SYSTEM FOR ANNOTATION OF MORPHOMETRIC CHARACTERISTICS OF WHEAT SPIKE
https://doi.org/10.18699/VJ18.340
Abstract
The structure of the ear is one of the most important features of cereals associated with such agronomically important traits as productivity, resistance to environmental factors and pests, threshebility. Ears differ in shape, size, density, awnedness, color, etc. Analysis of the ear traits requires visual inspection, manual measurements and is very time-consuming. The effectiveness of ears’ phenotyping can be improved by the introduction of an automated image processing technology, storage of information in databases, use of machine learning algorithms to analyze this information. This paper presents a new approach for collecting, storing and analyzing of information about morphometric characteristics of ears of wheat. Two protocols for obtaining digital images of the ear have been developed. The computer-aided information system SpikeDroidDB has been developed, which allows you to store digital images of the ear, annotate their phenotypic features (14 features, including plant variety description, links to parent genotypes, generation, planting number, ear morphology description). The interface provides a flexible query system to access the data. SpikeDroidDB represents an interconnected representation between genotype, phenotype, location, and growing conditions. The web interface of SpikeDroidDB is available at http://spikedroid.biores. cytogen.ru/ and allows you to work with the system as with desktop computers or mobile devices. We used SpikeDroidDB for the digitization and annotation of a collection of ears of F2 hybrids from crosses between the Australian cultivar of common wheat Triple Dirk and accession KU506 of Chinese wheat Triticum yunnanense. This experiment includes analysis of 104 plants, 230 spike images. The analysis of the variability of ears in form, length, and other traits allowed determination of the type of their genetic control: compactness is controlled by two recessive genes, awn type and hairi ness at the site of attachment of the spikelet to the axis is controlled by single dominant gene type, hairiness on the axis of the spike is controlled by two dominant genes.
About the Authors
M. A. GenaevRussian Federation
Novosibirsk
E. G. Komyshev
Russian Federation
Novosibirsk
Fu Hao
China
Harbin
V. S. Koval
Russian Federation
Novosibirsk
N. P. Goncharov
Russian Federation
D. A. Afonnikov
Russian Federation
References
1. Afonnikov D.A., Genaev M.A., Doroshkov A.V., Komyshev E.G., Pshenichnikova T.A. Methods of high-throughput plant phenotyping for large-scale breeding and genetic experiments. Russ. J. Genet. 2016;52(7):688-701. DOI 10.1134/S1022795416070024.
2. Amagai Y., Burdenyuk-Tarasevych L.A., Goncharov N.P., Watanabe N. Microsatellite mapping of the loci for false glume and semi-compact spike in Triticum L. Genet. Resour. Crop Evol. 2017;64:2105-2115. DOI 10.1007/s10722-017-0500-x.
3. Boden S.A., Cavanagh C., Cullis B.R., Ramm K., Greenwood J., Finnegan E.J., Trevaskis B., Swain S.M. Ppd-1 is a key regulator of inflorescence architecture and paired spikelet development in wheat. Nature Plants. 2015;1:14016. DOI 10.1038/nplants.2014.16.
4. Dobrovolskaya O., Pont C., Sibout R., Martnek P., Badaeva E., Murat F., Chosson A., Watanabe N., Prat E., Gautier N., Gautier V., Poncet C., Orlov Yu., Krasnikov A., Berges H., Salona E., Laikova L., Salse J. FRIZZY PANICLE drives supernumerary spikelets in bread wheat. Plant Physiol. 2015;167(1):189-199. DOI 10.1104/pp.114.250043.
5. Fljaksberger K.A. Wheats – Genus Triticum L. pr. р. Kulturnaya flora SSSR. T. 1. Khlebnye zlaki. [Cultural flora of the USSR. Vol 1. Cereals.]. Moscow; Leningrad: Sel’hozgiz Publ., 1935;19-434. (in Russian)
6. Genaev M.A., Doroshkov A.V., Pshenichnikova T.A., Morozova E.V., Simonov A.V., Afonnikov D.A. Informational support of the breeding experiment in wheat in the WheatPGE system. Matematicheskaya biologiya i bioinformatika = Mathematical Biology and Bioinformatics. 2012;7(2):410-424. (in Russian)
7. Goncharov N.P. Sravnitelnaya genetika pshenits i ikh sorodichey [Comparative genetics of wheat and their relatives]. Novosibirsk: “Geo” Publ., 2012;523. (in Russian)
8. Jantasuriyarat C., Vales M.I., Watson C., Riera-Lizarazu O. Identification and mapping of genetic loci affecting the free-threshing habit and spike compactness in wheat (Triticum aestivum L.). Theor. Appl. Genet. 2004;108(2):261-273. DOI 10.1007/s00122-003-1432-8.
9. Konopatskaia I., Vavilova V., Blinov A., Goncharov N.P. Spike morphology genes in wheat species (Triticum L.). Proc. Latv. Acad. Sci. Sect. B. 2016;70(6):345-355. DOI 10.1515/prolas-2016-0053.
10. Nalam V.J., Vales M.I., Watson C., Johnson E.B., Riera-Lizarazu O. Map-based analysis of genetic loci on chromosome 2D that affect glume tenacity and threshability, components of the free-threshing habit in common wheat (Triticum aestivum L.). Theor. Appl. Genet. 2007;116(1):135-145. DOI 10.1007/s00122-007-0653-7.
11. Sood S., Kuraparthy V., Bai G., Gill B.S. The major threshability genes soft glume (sog) and tenacious glume (Tg), of diploid and polyploidy wheat, trace their origin to independent mutations at non-orthologous loci. Theor. Appl. Genet. 2009;119(2):341-351. DOI 10.1007/s00122-009-1043-0.
12. Sreenivasulu N., Schnurbusch T. A genetic playground for enhancing grain number in cereals. Trends Plant Sci. 2012;17(2):91-101. DOI 10.1016/j.tplants.2011.11.003.
13. Strange H., Zwiggelaar R., Sturrock C., Mooney S.J., Doonan J.H. Automatic estimation of wheat grain morphometry from computed tomography data. Funct. Plant Biol. 2015;42(5):452-459. DOI 10.1071/FP14068.
14. Youssef H.M., Mascher M., Ayoub M.A., Stein N., Kilian B., Schnurbusch T. Natural diversity of inflorescence architecture traces cryptic domestication genes in barley (Hordeum vulgare L.). Genet. Resour. Crop Evol. 2017;64(5):843-853. DOI 10.1007/s10722-017-0504-6.